Courses
Terms offered: Spring 2024, Spring 2023, Spring 2022
This course provides the framework for engineering an empowered life through leadership, discovery and service. The class focuses on development of self, emotional intelligence, strategic thinking, problem solving, teamwork, diversity, and service learning. Skills include developing of self-awareness; understanding our unique strengths; debunking the imposter syndrome; creating plans of action and setting goals; giving and receiving assessments; interpreting body language; managing time and life-balance; and creating mission statements. Teamwork skills include methods for inspiring others; variations in leadership styles and team dynamics; rhythm of action for projects and teams; difficult conversations and conflict resolution; mechanisms.
Engineering Your Life: Skills for Leadership, Discovery and Service: Read More [+]
Objectives & Outcomes
Course Objectives: This course offers the requisite framework for engineering an empowered life. The course provides students with requisite skills for authentic leadership, self-discovery and societal service. These attributes are in alignment with the mission of the College of Engineering and the Berkeley campus.
Student Learning Outcomes: Students will learn how to assess personal strengths, implement plans of action and develop mission statements. Students will learn how to optimize their knowledge with assessment of learning styles along with key communication tools necessary for conflict resolution and inspiration of others (teamwork). Through a series of active exercises and self-reflection activities the students will learn requisite skills for self-discovery and the creation of a personal leadership plan.
Rules & Requirements
Prerequisites: Designed for engineering freshmen, the class is open to all students in the College of Engineering or by permission of instructor
Hours & Format
Fall and/or spring: 15 weeks - 1 hour of lecture per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Offered for pass/not pass grade only. Alternative to final exam.
Instructor: Pruitt
Engineering Your Life: Skills for Leadership, Discovery and Service: Read Less [-]
Terms offered: Fall 2024, Spring 2024, Fall 2023
Elements of procedural and object-oriented programming. Induction, iteration, and recursion. Real functions and floating-point computations for engineering analysis. Introduction to data structures. Representative examples are drawn from mathematics, science, and engineering. The course uses the MATLAB programming language. Sponsoring departments: Civil and Environmental Engineering and Mechanical Engineering.
Introduction to Computer Programming for Scientists and Engineers: Read More [+]
Rules & Requirements
Prerequisites: MATH 1B (may be taken concurrently)
Credit Restrictions: Students will receive no credit for Engineering 7 after completing Engineering W7. A deficient grade in Engineering W7 may be repeated by taking Engineering 7.
Hours & Format
Fall and/or spring: 15 weeks - 2 hours of lecture, 1 hour of discussion, and 4 hours of laboratory per week
Summer: 10 weeks - 3 hours of lecture, 1.5 hours of discussion, and 6 hours of laboratory per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Letter grade. Final exam required.
Formerly known as: 77
Introduction to Computer Programming for Scientists and Engineers: Read Less [-]
Terms offered: Summer 2021 10 Week Session, Summer 2016 10 Week Session, Summer 2015 10 Week Session
Elements of procedural and object-oriented programming. Induction, iteration, and recursion. Real functions and floating-point computations for engineering analysis. Introduction to data structures. Representative examples are drawn from mathematics, science, and engineering. The course uses the MATLAB programming language.
Introduction to Computer Programming for Scientists and Engineers: Read More [+]
Rules & Requirements
Prerequisites: MATH 1B (may be taken concurrently)
Credit Restrictions: Students will receive no credit for Engineering W7 after completing Engineering 7 or 77. A deficient grade in Engineering 7 or 77 may be removed by taking Engineering W7.
Hours & Format
Fall and/or spring: 15 weeks - 2 hours of web-based lecture, 4 hours of laboratory, and 1 hour of web-based discussion per week
Summer: 10 weeks - 6 hours of web-based lecture, 0 hours of laboratory, and 7.5 hours of web-based discussion per week
Online: This is an online course.
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Letter grade. Final exam required.
Instructor: Papadopoulos
Introduction to Computer Programming for Scientists and Engineers: Read Less [-]
Terms offered: Spring 2024, Fall 2023, Spring 2023
Introduction to basic concepts in radiation detection and radioactivity, electrical circuits, and data analytics. Lectures provide the theoretical foundation of the work being performed in the accompanying laboratory. The course will contain three sections: introduction to how radiation interacts with matter and radiation detection technologies; development of the tools (mathematical and computational) needed for analyzing various types of radiation and environmental data; and building of a basic radiation sensor system.
A Hands-on Introduction to Radiation Detection: Getting to know our Radioactive World: Read More [+]
Objectives & Outcomes
Course Objectives: The course is suitable for Nuclear Engineering students, other Engineering majors, and any students interested in gaining a general understanding of radiation detection.
The focus of this course will be on the application of the nuclear science, radiation detection, and data analysis concepts covered to the building of a multi-sensor radiation detection system, following a template for the required data acquisition software and circuit integration.
Fieldwork related to a chosen research topic will be carried out in small groups, with group oral presentations and final reports. Students will be introduced to research opportunities on campus and at nearby lab facilities through tours of lab spaces throughout the department and field trips to LBNL and LLNL.
Students will be introduced to core concepts in nuclear science, statistical analysis, and computation, while being given practical experience applying those concepts to radiation detection and data analysis.
The objective of this course is to provide Freshman and Sophomore students with an introduction to the fundamentals of nuclear radiation and radiation detection through a hands-on approach.
Student Learning Outcomes: Be able to outline and carry out a research project, prepare written and oral presentations of that work, and demonstrate how the sensors they built work.
By the end of this course, students should be able to:
Identify types of radioactivity, radiation detection methods and sources of environmental radiation,
Create simple circuit designs making use of standard circuitry components, demonstrate basic soldering skills, and demonstrate a familiarity with printed circuit board design tools,
Make use of software tools including the Python programming language, version control with git, and shell environments,
Perform statistical analysis of large data sets and quantify statistical and systematic uncertainties in experimental data,
Rules & Requirements
Credit Restrictions: Students will receive no credit for ENGIN 11 after completing ENGIN 11. A deficient grade in ENGIN 11 may be removed by taking ENGIN 11.
Hours & Format
Fall and/or spring: 15 weeks - 1 hour of lecture and 3 hours of laboratory per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Letter grade. Alternative to final exam.
Instructor: Hanks
A Hands-on Introduction to Radiation Detection: Getting to know our Radioactive World: Read Less [-]
Terms offered: Fall 2024, Spring 2024, Fall 2023
The Berkeley Seminar Program is designed to provide students with the opportunity to explore an intellectual topic with a faculty member in a small seminar setting. Berkeley Seminars are offered in all college departments, and topics vary from department to department and semester to semester.
Freshman Seminar: Read More [+]
Rules & Requirements
Repeat rules: Course may be repeated for credit when topic changes.
Hours & Format
Fall and/or spring: 15 weeks - 1 hour of lecture per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: The grading option will be decided by the instructor when the class is offered. Final exam required.
Terms offered: Fall 2020, Spring 2020, Fall 2019
Development of 3-dimensional visualization skills for engineering design. Sketching as a tool for design communication. Presentation of 3-dimensional geometry with 2-dimensional engineering drawings. This course will introduce the use of 2-dimensional CAD on computer workstations as a major graphical analysis and design tool. A group design project is required. Teamwork and effective communication are emphasized.
Visualization for Design: Read More [+]
Objectives & Outcomes
Course Objectives: Improve 3-dimensional visualization skills; enable a student to create and understand engineering drawings; introduce 2-dimensional computer-aided geometry modeling as a visualization, design, and analysis tool; enhance critical thinking and design skills; emphasize communication skills, both written and oral; develop teamwork skills; offer experience in hands-on engineering projects; develop early abilities in identifying, formulating, and solving engineering problems; introduce students to the societal context of engineering practice.
Student Learning Outcomes: Upon completion of the course, students shall be able to communicate 3-dimensional geometry effectively using sketches; operate 2-dimensional CAD software with a high degree of skill and confidence; understand and create engineering drawings; visualize 3-dimensional geometry from a series of 2-dimensional drawings.
Hours & Format
Fall and/or spring: 15 weeks - 1 hour of lecture and 2 hours of laboratory per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Letter grade. Final exam required.
Instructors: Lieu, McMains
Terms offered: Fall 2024, Spring 2024, Fall 2023
Three-dimensional modeling for engineering design. This course will emphasize the use of CAD on computer workstations as a major graphical analysis and design tool. Students develop design skills, and practice applying these skills. A group design project, design and fabrication (3D print) of the tower and rotor is required. Hands-on creativity, teamwork, and effective communication are emphasized.
Three-Dimensional Modeling for Design: Read More [+]
Objectives & Outcomes
Course Objectives: Develop teamwork skills; offer experience in hands-on, creative engineering projects.
Enhance critical thinking and design skills; emphasize communication skills, both written and oral.
Introduce computer-based solid, parametric, and assembly modeling as a tool for engineering design.
Reinforce the societal context of engineering practice; develop early abilities in identifying, formulating, and solving engineering problems.
Student Learning Outcomes: Create a 3D solid model of a complicated object with high degree of confidence.
Extract 2D orthographic views from the 3D model for fabrication.
Extract section and auxiliary views.
Specify the proper dimensions, according to industry standards, for parts to be fabricated.
Understand the basics of assembly and associative constraints.
Understand the basics of rapid prototyping, in particular 3D printing.
Understand the engineering design process and the implementation of different design phases.
Work effectively as a member of a design team.
Hours & Format
Fall and/or spring: 15 weeks - 1 hour of lecture and 2 hours of laboratory per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Letter grade. Final exam required.
Instructors: Youssefi, Mcmains
Terms offered: Summer 2021 10 Week Session, Fall 2020, Summer 2020 10 Week Session
Geometric dimensioning and tolerancing (GD&T), tolerance analysis for fabrication, fundamentals of manufacturing processes (metal cutting, welding, joining, casting, molding, and layered manufacturing).
Introduction to Manufacturing and Tolerancing: Read More [+]
Objectives & Outcomes
Course Objectives: Enable a student to create and understand tolerances in engineering drawings; enhance critical thinking and design skills; emphasize communication skills, both written and oral; offer hands-on experience in manufacturing; develop abilities in identifying, formulating, and solving engineering problems; introduce students to the context of engineering practice.
Student Learning Outcomes: Upon completion of the course, students shall be able to fabricate basic parts in the machine shop; understand and communicate tolerance requirements in engineering drawings using industry standard GD&T; use metrology tools to evaluate if physical parts are within specified tolerances; demonstrate familiarity with manufacturing processes; and design parts that can be fabricated realistically and economically using these processes.
Rules & Requirements
Prerequisites: ENGIN 25 (may be taken concurrently)
Hours & Format
Fall and/or spring: 15 weeks - 1 hour of lecture and 2 hours of laboratory per week
Summer: 10 weeks - 1.5 hours of lecture and 3 hours of laboratory per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Letter grade. Final exam required.
Instructors: McMains, Lieu, Taylor
Introduction to Manufacturing and Tolerancing: Read Less [-]
Terms offered: Fall 2024, Spring 2024, Fall 2023
An introduction to manufacturing process technologies and the ways in which dimensional requirements for manufactured objects are precisely communicated, especially through graphical means. Fundamentals of cutting, casting, molding, additive manufacturing, and joining processes are introduced. Geometric dimensioning and tolerancing (GD&T), tolerance analysis for fabrication, concepts of process variability, and metrology techniques are introduced and practiced. 3-D visualization skills for engineering design are developed via sketching and presentation of 3-D geometries with 2-D engineering drawings. Computer-aided design software is used. Teamwork and effective communication are emphasized through lab activities and a design project.
Manufacturing and Design Communication: Read More [+]
Objectives & Outcomes
Course Objectives: Develop early abilities in identifying, formulating, and solving engineering problems.
Emphasize communication skills, both written and oral; develop teamwork skills.
Enable a student to create and understand tolerances in engineering drawings.
Enhance critical thinking and design skills.
Improve 3-dimensional visualization skills; enable a student to create and understand engineering drawings.
Introduce 2-dimensional computer-aided geometry modeling as a visualization, design, and analysis tool.
Introduce students to the societal context of engineering practice.
Offer an experience in hands-on engineering projects.
Student Learning Outcomes: A knowledge of contemporary issues.
A recognition of the need for, and an ability to engage in life-long learning.
An ability to apply knowledge of mathematics, science, and engineering.
An ability to communicate effectively.
An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability.
An ability to design and conduct experiments, as well as to analyze and interpret data.
An ability to identify, formulate, and solve engineering problems.
An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.
An understanding of professional and ethical responsibility.
Rules & Requirements
Prerequisites: ENGIN 26 or equivalent experience in three-dimensional solid modeling (e.g. Solidworks, Fusion 360) is recommended
Hours & Format
Fall and/or spring: 15 weeks - 3 hours of lecture and 3 hours of laboratory per week
Summer: 10 weeks - 4.5 hours of lecture and 4.5 hours of laboratory per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Letter grade. Alternative to final exam.
Instructors: Taylor, Hayden, Mcmains, Sarah, Stuart, Hannah
Terms offered: Spring 2010, Spring 2009, Spring 2008
Freshman and sophomore seminars offer lower division students the opportunity to explore an intellectual topic with a faculty member and a group of peers in a small-seminar setting. These seminars are offered in all campus departments; topics vary from department to department and from semester to semester. Enrollment limits are set by the faculty, but the suggested limit is 25.
Freshman/Sophomore Seminar: Read More [+]
Rules & Requirements
Repeat rules: Course may be repeated for credit without restriction.
Hours & Format
Fall and/or spring: 15 weeks - 1.5-4 hours of seminar per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: The grading option will be decided by the instructor when the class is offered. Final exam required.
Terms offered: Spring 2010, Spring 2009, Spring 2008
Freshman and sophomore seminars offer lower division students the opportunity to explore an intellectual topic with a faculty member and a group of peers in a small-seminar setting. These seminars are offered in all campus departments; topics vary from department to department and from semester to semester. Enrollment limits are set by the faculty, but the suggested limit is 25.
Freshman/Sophomore Seminar: Read More [+]
Rules & Requirements
Repeat rules: Course may be repeated for credit without restriction.
Hours & Format
Fall and/or spring: 15 weeks - 1.5-4 hours of seminar per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: The grading option will be decided by the instructor when the class is offered. Final exam required.
Terms offered: Fall 2010
Freshman and sophomore seminars offer lower division students the opportunity to explore an intellectual topic with a faculty member and a group of peers in a small-seminar setting. These seminars are offered in all campus departments; topics vary from department to department and from semester to semester. Enrollment limits are set by the faculty, but the suggested limit is 25.
Freshman/Sophomore Seminar: Read More [+]
Rules & Requirements
Repeat rules: Course may be repeated for credit without restriction.
Hours & Format
Fall and/or spring: 15 weeks - 1.5-4 hours of seminar per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: The grading option will be decided by the instructor when the class is offered. Final exam required.
Terms offered: Fall 2024, Fall 2023, Fall 2022
Fundamental laws of thermodynamics for simple substances; application to flow processes and to nonreacting mixtures; statistical thermodynamics of ideal gases and crystalline solids; chemical and materials thermodynamics; multiphase and multicomponent equilibria in reacting systems; electrochemistry. Sponsoring Departments: Materials Science and Engineering and Nuclear Engineering.
Engineering Thermodynamics: Read More [+]
Rules & Requirements
Prerequisites: PHYSICS 7B and MATH 54. CHEM 1B recommended
Credit Restrictions: Students will receive no credit for Engineering 40 after taking Engineering 115, Chemical Engineering 141 or Mechanical Engineering 40.
Hours & Format
Fall and/or spring: 15 weeks - 3 hours of lecture and 1 hour of discussion per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Letter grade. Final exam required.
Instructors: Bolind, Persson
Terms offered: Spring 2022, Fall 2016, Fall 2012
May be taken only with permission of the Dean of the College of Engineering. Students with partial credit in a lower division engineering course may complete the work under this heading.
Supplementary Work in Lower Division Engineering: Read More [+]
Rules & Requirements
Prerequisites: Limited to students who must make up a fraction of a required lower division course
Repeat rules: Course may be repeated for credit without restriction.
Hours & Format
Fall and/or spring: 15 weeks - 0 hours of independent study per week
Summer: 8 weeks - 1.5-5.5 hours of independent study per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Letter grade. Final exam required.
Supplementary Work in Lower Division Engineering: Read Less [-]
Terms offered: Fall 2024, Fall 2023, Fall 2022
This series of lectures provides students, especially undeclared Engineering students, with information on the various engineering disciplines to guide them toward choice of major. Lecturers describe research activities, how they made their own career choices, and indicate future opportunities. Recommended for all Engineering Science students and required for Engineering undeclared students.
Perspectives in Engineering: Read More [+]
Rules & Requirements
Repeat rules: Course may be repeated for credit without restriction.
Hours & Format
Fall and/or spring: 15 weeks - 1 hour of lecture per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Offered for pass/not pass grade only. Final exam not required.
Terms offered: Fall 2024, Fall 2023, Fall 2022
Weekly seminar with different speakers on energy-related topics. The goal is to expose students to a broad range of energy issues.
Energy Engineering Seminar: Read More [+]
Hours & Format
Fall and/or spring: 15 weeks - 1 hour of seminar per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Offered for pass/not pass grade only. Final exam not required.
Instructor: Zohdi
Terms offered: Fall 2024, Spring 2024, Fall 2023
Seminars for group study of selected topics, which will vary from year to year. Intended for students in the lower division.
Directed Group Studies for Lower Division Undergraduates: Read More [+]
Rules & Requirements
Prerequisites: Consent of instructor
Repeat rules: Course may be repeated for credit without restriction.
Hours & Format
Fall and/or spring: 15 weeks - 1-4 hours of directed group study per week
Summer:
6 weeks - 2.5-10 hours of directed group study per week
8 weeks - 1.5-7.5 hours of directed group study per week
10 weeks - 1.5-6 hours of directed group study per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Offered for pass/not pass grade only. Final exam not required.
Directed Group Studies for Lower Division Undergraduates: Read Less [-]
Terms offered: Fall 2023, Fall 2019, Fall 2017
Methods of theoretical engineering analysis; techniques for analyzing partial differential equations and the use of special functions related to engineering systems. Sponsoring Department: Mechanical Engineering.
Methods of Engineering Analysis: Read More [+]
Hours & Format
Fall and/or spring: 15 weeks - 3 hours of lecture and 1 hour of discussion per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Letter grade. Final exam required.
Terms offered: Fall 2023, Fall 2022, Spring 2022
Economic analysis for engineering decision making: Capital flows, effect of time and interest rate. Different methods of evaluation of alternatives. Minimum-cost life and replacement analysis. Depreciation and taxes. Uncertainty; preference under risk; decision analysis. Capital sources and their effects. Economic studies.
Principles of Engineering Economics: Read More [+]
Rules & Requirements
Prerequisites: Completion of 60 units of an approved engineering curriculum
Credit Restrictions: Students will receive no credit for Engineering 120 after taking Industrial Engineering 120.
Hours & Format
Fall and/or spring: 15 weeks - 2 hours of lecture and 1 hour of discussion per week
Summer: 8 weeks - 4 hours of lecture and 2 hours of discussion per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Letter grade. Final exam required.
Instructor: Adler
Terms offered: Fall 2024, Spring 2024, Spring 2023
How should engineers analyze and resolve the ethical issues inherent in engineering? This seminar-style course provides an introduction to how theories, concepts, and methods from the humanities and social science can be applied to ethical problems in engineering. Assignments incorporate group and independent research designed to provide students an opportunity to contribute novel findings to the emerging field of engineering ethics while building their analytical and communication skills. This course cannot be used to fulfill any engineering technical requirements (units or courses).
Ethics, Engineering, and Society: Read More [+]
Hours & Format
Fall and/or spring: 15 weeks - 2 hours of lecture and 1 hour of discussion per week
Summer:
6 weeks - 5 hours of lecture and 3 hours of discussion per week
8 weeks - 4 hours of lecture and 2 hours of discussion per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Letter grade. Final exam not required.
Terms offered: Fall 2023, Fall 2022, Fall 2021
Advanced graphics tools for engineering design. Parametric solid modeling. Assembly modeling. Presentation using computer animation and multimedia techniques.
Advanced Engineering Design Graphics: Read More [+]
Rules & Requirements
Prerequisites: ENGIN 26
Hours & Format
Fall and/or spring: 15 weeks - 2 hours of lecture and 3 hours of laboratory per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Letter grade. Final exam not required.
Instructor: Lieu
Terms offered: Fall 2016, Fall 2015, Spring 2015
May be taken only with permission of the Dean of the College of Engineering. Students with partial credit in an upper division engineering course may complete the work under this heading.
Supplementary Work in Upper Division Engineering: Read More [+]
Rules & Requirements
Prerequisites: Limited to students who must make up a fraction of a required upper division course
Repeat rules: Course may be repeated for credit without restriction.
Hours & Format
Fall and/or spring: 15 weeks - 0 hours of independent study per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Letter grade. Final exam required.
Supplementary Work in Upper Division Engineering: Read Less [-]
Terms offered: Fall 2021, Fall 2019, Fall 1997
The course emphasizes elementary modeling, numerical methods & their implementation on physical problems motivated by phenomena that students are likely to encounter in their careers, involving biomechanics, heat-transfer, structural analysis, control theory, fluid-flow, electrical conduction, diffusion, etc. This will help students develop intuition about the strengths and weaknesses of a variety of modeling & numerical methods, as well as develop intuition about modeling physical systems & strengths and weaknesses of a variety of numerical methods, including: Discretization of differential equations, Methods for solving nonlinear systems, Gradient-based methods and machine learning algorithms for optimization, stats & quantification
Basic Modeling and Simulation Tools for Industrial Research Applications: Read More [+]
Rules & Requirements
Prerequisites: ENGIN 7 or COMPSCI 61A, PHYSICS 7A, MATH 53, and MATH 54
Credit Restrictions: Students will receive no credit for ENGIN 150 after completing ENGIN 150. A deficient grade in ENGIN 150 may be removed by taking ENGIN 150.
Hours & Format
Fall and/or spring: 15 weeks - 3 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Letter grade. Final exam required.
Basic Modeling and Simulation Tools for Industrial Research Applications: Read Less [-]
Terms offered: Prior to 2007
The course emphasizes elementary modeling, numerical methods and their implementation on physical problems motivated by real-world phenomena involving various aspects of infection diseases. This course is broken into five parts: part 1-modeling and simulation of the infection zone from respiratory emission, part 2-rapid simulation of viral decontamination efficacy with uv irradiation, part 3-an agent-based computational framework for simulation of global pandemic and social response, part 4-machine learning and parameter identification, part 5-deep dive into advanced models: continuum mechanics, solid-fluid interaction and electromagnetism.
Modeling and Simulation of Infectious Diseases: Read More [+]
Objectives & Outcomes
Course Objectives: Comprised of an introduction to essential mathematical modeling and simulation tools needed for various aspects of the modeling and simulation of infectious diseases. Six capstone projects, drawn from Parts 1-5 are assigned, applying the modeling and simulation tools.
Rules & Requirements
Prerequisites: ENGIN 7, COMPSCI 61A, or DATA C8 + COMPSCI 88; and PHYSICS 7A; and MATH 53 AND MATH 54
Hours & Format
Fall and/or spring: 15 weeks - 3 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Letter grade. Final exam required.
Instructor: Tarek Zohdi
Modeling and Simulation of Infectious Diseases: Read Less [-]
Terms offered: Spring 2024, Spring 2023, Spring 2022
This course engages students at the intersection of environmental justice, social justice, and engineering to explore how problems that are commonly defined in technical terms are at their roots deeply socially embedded. Through partnerships with community-based organizations, students are trained to recognize the socio-political nature of technical problems so that they may approach solutions in ways that prioritize social justice. Topics covered include environmental engineering as it relates to air, water, and soil contamination; race, class, and privilege; expertise; ethics; and engaged citizenship. This course cannot be used to complete any engineering technical unit requirements.
Engineering, The Environment, and Society: Read More [+]
Hours & Format
Fall and/or spring: 15 weeks - 3 hours of lecture and 1 hour of discussion per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Letter grade. Alternative to final exam.
Also listed as: IAS 157AC
Terms offered: Summer 2024 Second 6 Week Session, Fall 2005, Fall 2004
This course covers management and innovation for technology firms.
It provides an in-depth look at how technology firms decide on which organization model to use in order to reduce silos and leverage the different parts of the firm to create a greater whole. Next, an in-depth look at how well structured firms optimize technology strategy and operations. The workshop then covers how optimally organized firms create innovation programs and corporate incubators.
Technology Leadership: Read More [+]
Hours & Format
Summer:
6 weeks - 6 hours of lecture per week
8 weeks - 5 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Letter grade. Alternative to final exam.
Terms offered: Summer 2024 8 Week Session, Spring 2006, Spring 2005
Commercializing deep-tech innovations requires an interdisciplinary approach that considers the development of the technology, identification of business opportunities, and consideration of legal implications. This course will explore deep technology commercialization at the interface of business, technology, and intellectual property. Students with a stem or engineering background will collaborate on real-world, deep-tech commercialization projects from leading research institutions. Students will work in teams on a technology developed by inventors from world renowned research laboratories. The student teams will analyze patents, the technology landscape, and the market to assess the potential of commercializing technology.
Commercializing Deep Tech Innovations: Read More [+]
Objectives & Outcomes
Course Objectives: Students will read and discuss case studies related to tech strategies deployed by start-ups, and established enterprises.
The course will prepare the students to analyze deep technologies from the ground up. They will deliver an oral slide presentation that answers the questions listed below in a clear and concise manner.
•
What is the technology?
•
What problem is your technology trying to solve?
•
What are the potential markets in which it could be commercialized?
•
For which application is your technology best positioned? Why?
•
Who are the competitors? How does the technology compare with competing technical solutions? What are the key differences in terms of technical performance and customer utility?
•
What is the market potential of your chosen application areas/segments?
•
What is the SWOT of your commercial strategy in your chosen application/segment?
•
What is your market entry/go to market plan? Licensing, Start-up or something else?
Rules & Requirements
Prerequisites: Students must have strong oral and written English skills, and a demonstrated background in STEM, engineering, or business
Credit Restrictions: Students will receive no credit for ENGIN 170B after completing ENGIN 170B. A deficient grade in ENGIN 170B may be removed by taking ENGIN 170B.
Hours & Format
Summer: 8 weeks - 5 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Letter grade. Alternative to final exam.
Terms offered: Summer 2024 8 Week Session
This course is designed to give students the opportunity to experience a full cycle of product development by developing and refining series of prototypes leading to delivering a functioning MVP (Minimally Viable Product). Students form small teams to identify a problem, followed by ideation to come up with a product idea that will help solving a real problem. Students will be introduced to professional product development processes & approaches through series of lectures, case study analysis, simulations, and exercises. Students will then design a product that will solve these real problems and start implementing series of 3 prototypes culminating with a working product MVP.
Agile Product Development: Read More [+]
Objectives & Outcomes
Student Learning Outcomes: The program will also allow students to develop a number of ‘soft’ skills such as leadership, team development, conflict resolution, stakeholder management, project management in an intensive, experiential learning environment that includes regular pitches and feedback from mentors. Mixed interdisciplinary teams will be created and mandated.
The art of successfully communicating the idea is critical throughout the program and in particular during the final pitches in the final week. Students will practice explaining their products throughout the course: first to their classmates and mentors followed by presenting the prototypes to real prospective users.
Hours & Format
Summer: 8 weeks - 6 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Letter grade. Alternative to final exam.
Terms offered: Spring 2017, Spring 2015, Spring 2014
The course builds an understanding, demonstrates engineering uses, and provides hand-on experience for object-oriented programming as well as exposes a practical knowledge of advanced features available in MATLAB. The course will begin with a brief review of basic MATLAB features and quickly move to class organization and functionality. The introduced concepts are reinforced by examining the advanced graphical features of MATLAB. The material will also include the effective use of programs written in C and FORTRAN, and will cover SIMULINK, a MATLAB toolbox providing for an effective ways of model simulations. Throughout the course, the emphasis will be placed on examples and homework assignments from engineering disciplines.
Advanced Programming with MATLAB: Read More [+]
Rules & Requirements
Prerequisites: ENGIN 7, MATH 53 and MATH 54 (one of these math courses may be taken concurrently)
Hours & Format
Fall and/or spring: 15 weeks - 3 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Letter grade. Final exam required.
Instructors: Frenklach, Packard
Terms offered: Fall 2024, Spring 2024, Fall 2023
This course provides a foundation in data science with emphasis on the application of statistics and machine learning to engineering problems. The course combines theoretical topics in probability and statistical inference with practical methods for solving problems in code. Each topic is demonstrated with examples from engineering. These include hypothesis testing, principal component analysis, clustering, linear regression, time series analysis, classification, and deep learning. Math 53 and 54 are recommended before Engin 178, Math 53 and 54 are allowed concurrently.
Statistics and Data Science for Engineers: Read More [+]
Objectives & Outcomes
Course Objectives: To demonstrate the use of data science in engineering tasks.
To enable students to import, clean, visualize, and interpret data sets using modern computer languages.
To familiarize students with a range of techniques for building models from data.
To introduce the concepts of quantitative statistics and probability.
To provide a theoretical and conceptual basis for students to understand the role of data in engineering.
To teach students how to build and train machine learning models.
Student Learning Outcomes: A knowledge of contemporary issues.
An ability to apply knowledge of mathematics, science, and engineering.
An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability.
An ability to design and conduct experiments, as well as to analyze and interpret data.
An ability to identify, formulate, and solve engineering problems.
An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.
The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context.
Rules & Requirements
Prerequisites: ENGIN 7, MATH 1A, MATH 1B MATH 53, and MATH 54 (may be taken concurrently)
Credit Restrictions: Students will receive no credit for ENGIN 178 after completing ENGIN 78. A deficient grade in ENGIN 178 may be removed by taking ENGIN 78.
Hours & Format
Fall and/or spring: 15 weeks - 3 hours of lecture and 2 hours of laboratory per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Letter grade. Final exam required.
Instructor: Papadopoulos
Terms offered: Spring 2018
The course is concerned with giving students the tools to prepare for the fields and jobs of the future.
Across all university departments and majors, the numbers of students who do not work in the fields in which they’ve received their degrees is not only significant, but growing. For example, anywhere from 20-40% of STEM graduates do not work in the fields in which they received their degrees.
This does not mean that students shouldn’t major in STEM, but that one of the primary purposes of higher education is learning how to learn. Accordingly, this course presents a number of frameworks that are critical for thinking about that which has not yet been invented.
Preparing for the Fields and Jobs of the Future: Read More [+]
Hours & Format
Fall and/or spring: 15 weeks - 3 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Letter grade. Alternate method of final assessment during regularly scheduled final exam group (e.g., presentation, final project, etc.).
Instructor: Ian I. Mitroff
Preparing for the Fields and Jobs of the Future: Read Less [-]
Terms offered: Fall 2024, Summer 2024 Second 6 Week Session, Spring 2024
This course will explore various topics around technology innovation and entrepreneurship. Topics will vary by semester.
Special Topics in Technology Innovation and Entrepreneurship: Read More [+]
Rules & Requirements
Repeat rules: Course may be repeated for credit without restriction.
Hours & Format
Fall and/or spring: 15 weeks - 1-4 hours of seminar per week
Summer:
6 weeks - 2.5-10 hours of seminar per week
8 weeks - 1.5-7.5 hours of seminar per week
10 weeks - 1.5-6 hours of seminar per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Letter grade. Final exam required.
Formerly known as: Industrial Engin and Oper Research 190E
Special Topics in Technology Innovation and Entrepreneurship: Read Less [-]
Terms offered: Fall 2024, Spring 2024, Fall 2023
This lecture series serves as an entry point for undergraduate and graduate curriculum sequences in entrepreneurship and innovation. The series, established in 2005, is named in honor of A. Richard Newton, a visionary technology industry leader and late dean of the University of California Berkeley College of Engineering. The course features a selection of high-level industry speakers who share their insights on industry developments, leadership, and innovation based on their careers.
A. Richard Newton Lecture Series: Read More [+]
Rules & Requirements
Repeat rules: Course may be repeated for credit without restriction.
Hours & Format
Fall and/or spring: 15 weeks - 1.5 hours of colloquium per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Offered for pass/not pass grade only. Alternative to final exam.
Formerly known as: Industrial Engin and Oper Research 195
Terms offered: Fall 2024, Summer 2024 Second 6 Week Session, Spring 2024
This course offers the opportunity to understand the Berkeley Method of Entrepreneurship (BME) in an intensive format. The BME curriculum conveys the latest approaches for training global technology entrepreneurs. This method leverages insights on strategy, tactics, culture, and psychology with an accompanying entrepreneurial infrastructure. The curriculum is structured to provide an optimal global entrepreneurship experience from real life experiences.
Berkeley Method of Entrepreneurship Bootcamp: Read More [+]
Objectives & Outcomes
Course Objectives: * To understand and make use of the value of diversity in idea generation and new venture creation.
Student should become aware of the infrastructure available through UC Berkeley that an support them in developing new ventures.
To understand common tactics in starting new ventures including a lean learning cycle.
To understand the mindset of an entrepreneur, including the soft skills, behaviors, and psychological factors most likely to be needed to develop a new venture.
Student Learning Outcomes: Students should be able to consider a greater number of ideas for global entrepreneurship by observing the effect of background diversity in the class.
Students should be able to follow a process of idea generation, rapid prototyping / venture story development, attraction of stakeholders, data collection, and hypothesis testing and regeneration.
Students should become aware of the mindset and behaviour required for entreprenurship and be able to reinforce some of these behavious (eg rejection tolerance, comfort with failing or being wrong, inductive learning, venture story telling/communication abilities) through excercizes in the program.
Rules & Requirements
Repeat rules: Course may be repeated for credit with instructor consent.
Hours & Format
Fall and/or spring: 1 weeks - 30 hours of lecture and 20 hours of discussion per week
Summer: 1 weeks - 30 hours of lecture and 20 hours of discussion per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Letter grade. Alternative to final exam.
Formerly known as: Industrial Engin and Oper Research 192
Terms offered: Fall 2024, Summer 2024 First 6 Week Session, Summer 2024 Second 6 Week Session
This course is meant for students in engineering and other disciplines who seek a challenging, interactive, team-based, and hands-on learning experience in entrepreneurship and technology. In this highly experiential course, students work in simulated start-up teams to create products or start-up ideas to address a broadly-defined need of an industry partner or social challenge.
Challenge Lab: Read More [+]
Objectives & Outcomes
Course Objectives: 1)
To catalyze learning through experiential entrepreneurship
2)
To help students understand the entrepreneurial context, and how it can create better outcomes.
3)
To help students identify the best role for themselves within an entrepreneurial organization.
Student Learning Outcomes: 1)
Gain experience with effectively refining ideas and pivoting based on feedback and external factors.
2)
Gain experience building effective teams to develop and execute an idea
3)
Become comfortable with failure and how to learn from failure.
4)
Become adept at succinctly communicating ideas in terms of value proposition and business viability.
Rules & Requirements
Repeat rules: Course may be repeated for credit when topic changes.
Hours & Format
Fall and/or spring: 15 weeks - 4 hours of seminar per week
Summer:
6 weeks - 10 hours of seminar per week
8 weeks - 7.5 hours of seminar per week
10 weeks - 6 hours of seminar per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Letter grade. Alternative to final exam.
Formerly known as: Industrial Engin and Oper Research 185
Terms offered: Spring 2024, Spring 2023, Fall 2022
Too often we are enamored in our brilliant ideas, we skip the most important part: building products consumers will want and use. Precious time and effort is wasted on engineering perfect products only to launch to no users. This course teaches product management skills such as attributes of great product managers, reducing risk and cost while accelerating time to market, product life cycle, stakeholder management and effective development processes.
Product Management: Read More [+]
Objectives & Outcomes
Course Objectives: •
Students will experience a live development of a product within the context of a product development process.
•
Students will learn common methods used in product management
•
Students will understand the difference between engineering design and product development as a process commonly used in new venture environments.
Student Learning Outcomes: •
Students will actually develop a real world functioning product, to be described as Minimum Viable.
•
Students will be able to manage a product development process that leads to a product that is technically feasible as well as desired by customers.
•
Students will gain experience needed to work as product managers in real life environments.
Hours & Format
Fall and/or spring: 15 weeks - 3 hours of seminar per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Letter grade. Alternative to final exam.
Formerly known as: Industrial Engin and Oper Research 186
Terms offered: Fall 2024, Spring 2024, Fall 2023
This course explores key entrepreneurial concepts relevant to the high-technology world. Topics include the entrepreneurial perspective, start-up strategies, business idea evaluation, business plan writing, introduction to entrepreneurial finance and venture capital, managing growth, and delivering innovative products. This course prepares technical and business minded students for careers focused on entrepreneurship, intrapreneurship, and high technology. Students undertake intensive study of actual business situations through rigorous case-study analysis. This course can not be used to fulfill any engineering requirement (engineering units, courses, technical electives, or otherwise).
Technology Entrepreneurship: Read More [+]
Rules & Requirements
Prerequisites: Junior or senior standing
Hours & Format
Fall and/or spring: 15 weeks - 3 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Letter grade. Alternative to final exam.
Formerly known as: Industrial Engin and Oper Research 191
Terms offered: Spring 2024
This writing-intensive course surveys and analyzes accounts of AI-generated
writing, while reflecting on the ramifications of AI for human writing practices. In other
words: how do we write about—as well as with—writing machines? How are emergent AI
writing technologies reshaping human writing cultures in STEM fields and beyond? How,
in turn, do accounts of and interactions with writing machines shape cultural conceptions
of human writers and thinkers, as well as technological frontiers for AI developers? What
does it mean to write for someone else, or to let someone or something else write for us?
How do preoccupations fundamental to all writing—audience, context, aims, and
aesthetics—shape both non-human and human writing?
Writing Robots: Read More [+]
Objectives & Outcomes
Course Objectives: To address these questions, we will analyze a broad range of texts framing these
questions, including chat transcripts, essays, and journal articles, alongside novels, plays,
and podcasts. Students will track and research a sub-topic of their choosing through a
cumulative series of summaries, essays, and opinion pieces, while chronicling their
developing writerly identities by reflecting on readings and assignments in a course
journal. At semester’s end, they will revise and present a writing portfolio reflecting their
strongest work.
Student Learning Outcomes: By the end of this course, students will be able to
1) Analyze how technological developments are communicated to different
audiences
2) Identify, reframe, and synthesize explanations of a particular technology.
3) Support arguments about technology and science-related topics using those
identified and synthesized elements
4) Develop and articulate a set of writerly practices, preferences, and beliefs in
relation to automatic writing.
Rules & Requirements
Prerequisites: Reading and Composition R1A and R1B
Hours & Format
Fall and/or spring: 15 weeks - 3 hours of seminar per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Letter grade. Alternative to final exam.
Terms offered: Summer 2024 Second 6 Week Session, Spring 2024, Summer 2023 First 6 Week Session
This course provides engineering majors with the fundamental skills for effective technical communication. During the course of the semester, students will develop communications for public dissemination, covering a project or initiative within UC Berkeley’s College of Engineering. This work will call on students to: (a) cultivate interest in a broad range of topics related to Engineering; (b) become an engaged and critical reader of academic and general-interest science publications; (c) learn how to assess, plan for, and respond to a variety of communicative situations; (d) produce focused, and at the same time, narratively-rich, accounts of Engineering research.
The Art of STEM Communication: Read More [+]
Hours & Format
Fall and/or spring: 15 weeks - 3 hours of lecture per week
Summer: 6 weeks - 8-8 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Letter grade. Alternate method of final assessment during regularly scheduled final exam group (e.g., presentation, final project, etc.).
Terms offered: Fall 2019
The course examines the challenges of innovation beyond new technology development: from the challenges of global expansion, to the issues of unintended consequences of technology and the ability of technology to support or hinder social justice. The course will provide examples in a variety of global locations (e.g., Latin America, Southeast Asia, Africa, China, and India), utilizing case examples (written and presented by speakers) that illustrate the challenges faced in a range of fields of engineering and technology, from water and transportation to information and communications technology, and from start-ups to major corporations, government entities, and policy makers.
Global Engineering: The Challenges of Globalization and Disruptive Innovation: Read More [+]
Rules & Requirements
Repeat rules: Course may be repeated for credit when topic changes.
Hours & Format
Fall and/or spring: 8 weeks - 2-4 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Letter grade. Alternative to final exam.
Global Engineering: The Challenges of Globalization and Disruptive Innovation: Read Less [-]
Terms offered: Fall 2024, Spring 2024, Fall 2023
Students who have completed a satisfactory number of advanced courses may pursue original research under the direction of one of the members of the staff. Final report and presentation required.
Undergraduate Research: Read More [+]
Rules & Requirements
Prerequisites: Consent of instructor and adviser, junior or senior standing
Repeat rules: Course may be repeated for credit without restriction.
Hours & Format
Fall and/or spring: 15 weeks - 0 hours of independent study per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Letter grade. Final exam required.
Terms offered: Fall 2024, Fall 2023, Fall 2022
Thesis work under the supervision of a faculty member. To obtain full credit, the student must submit a satisfactory thesis at the end of two semesters of research. A total of four units must be taken. The units must be distributed between the two semesters (2 units in E195A and 2 units in E195B, or 1+3 or 3+1). Note, completion of a senior thesis does not contribute toward graduation requirements.
Engineering Science Senior Thesis Research: Read More [+]
Objectives & Outcomes
Course Objectives: Gain experience conducting an independent research project in science and/or engineering.
Report research outcomes in a written thesis.
Student Learning Outcomes: Develop familiarity reading scientific literature
Gain expertise in a field closely related to their coursework
Gain practice asking research questions and managing an independent project
Learn how to communicate scientific ideas and methods in a research thesis
Practice good teamwork with their fellow research students and their supervisor
Rules & Requirements
Prerequisites: Must be an Engineering Science student with senior standing, with one fall and one spring semester remaining, and an overall UC GPA of at least 3.3
Hours & Format
Fall and/or spring: 15 weeks - 3-9 hours of independent study per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Offered for pass/not pass grade only. Final exam not required.
Terms offered: Spring 2024, Spring 2023
Thesis work under the supervision of a faculty member. To obtain full credit, the student must submit a satisfactory thesis at the end of two semesters of research. A total of four units must be taken. The units must be distributed between the two semesters (2 units in E195A and 2 units in E195B, or 1+3 or 3+1). Note, completion of a senior thesis
does not contribute toward graduation requirements.
Engineering Science Senior Thesis Research: Read More [+]
Objectives & Outcomes
Course Objectives: Gain experience conducting an independent research project in science and/or engineering.
Report research outcomes in a written thesis.
Student Learning Outcomes: Develop familiarity reading scientific literature
Gain expertise in a field closely related to their coursework
Gain practice asking research questions and managing an independent project
Learn how to communicate scientific ideas and methods in a research thesis
Practice good teamwork with their fellow research students and their supervisor
Rules & Requirements
Prerequisites: ENGIN 195A
Hours & Format
Fall and/or spring: 15 weeks - 3-9 hours of independent study per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Offered for pass/not pass grade only. Final exam not required.
Terms offered: Fall 2024, Summer 2024 First 6 Week Session, Spring 2024
Group study of selected topics.
Directed Group Studies for Advanced Undergraduates: Read More [+]
Rules & Requirements
Prerequisites: Upper division standing, plus particular courses to be specified by instructor
Repeat rules: Course may be repeated for credit without restriction.
Hours & Format
Fall and/or spring: 15 weeks - 1-4 hours of directed group study per week
Summer: 8 weeks - 1.5-7.5 hours of directed group study per week
Additional Details
Subject/Course Level: Engineering/Undergraduate
Grading/Final exam status: Offered for pass/not pass grade only. Final exam not required.
Directed Group Studies for Advanced Undergraduates: Read Less [-]
Terms offered: Prior to 2007
How can we identify and analyze ethical issues in engineering? How do we leave room for rapid and disruptive innovation while responsibly considering the impact of technology on society and identifying the new ethical challenges that arise? This course provides an introduction to how theories, concepts, and methods from the humanities and social science can be applied to ethical problems in engineering.
Ethics, Engineering and Society: Read More [+]
Objectives & Outcomes
Course Objectives:
Apply theoretical and conceptual tools from the humanities and social sciences to engineering problems
Assess and direct one’s own learning
Engage in peer review
Identify and analyze ethical issues in science and engineering.
Lead and contribute to ethics discussions with fellow students, using asynchronous platforms such as Piazza
Understand professional responsibilities
Student Learning Outcomes: Better understand your own values, and how they fit in your understanding of engineering, ethics and society.
Empowered to engage others in conversation about ethics, and engineering and society, and to identify ethical issues when they may arise.
Familiar with engineering professional responsibilities (e.g. passive and active responsibilities, role responsibilities, work within bounds of knowledge etc).
Understand the relationship among risk analysis, design, risk communication, stakeholder engagement, community building, value-sensitive design.
Rules & Requirements
Prerequisites: Undergraduate degree in a STEM field or other training or work experience related to the practice of engineering
Credit Restrictions: Students will receive no credit for ENGIN 200 after completing ENGIN 200. A deficient grade in ENGIN 200 may be removed by taking ENGIN 200.
Hours & Format
Fall and/or spring: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Summer: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Scarlat
Terms offered: Spring 2024, Spring 2023, Spring 2022
Lectures on new developments in ocean, offshore, and arctic engineering.
Graduate Ocean Engineering Seminar: Read More [+]
Objectives & Outcomes
Course Objectives: To provide exposure of the field of ocean engineering, arctic engineering and related subject areas to students at graduate level with intention to show the broad and interdisciplinary nature of this field, particularly recent or new developments.
Student Learning Outcomes: Students will learn of new developments in ocean, offshore, and arctic engineering, connecting much of what is learned in other courses to practical applications and active research topics.
Rules & Requirements
Repeat rules: Course may be repeated for credit with instructor consent.
Hours & Format
Fall and/or spring: 15 weeks - 2 hours of seminar per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Offered for satisfactory/unsatisfactory grade only.
Instructors: Makiharju, Alam
Terms offered: Not yet offered
This course provides an introduction to design methods used in the development of innovative and realistic customer-driven engineered products, services, and systems. Design methods and tools are introduced and the student's design ability is developed via a series of short design process modules: design research, analysis and synthesis, concept generation and creativity. Students will be expected to use tools and methods of professional practice to consider the social, economic and environmental implications of their products, services, or systems. There is an emphasis on hands-on innovative thinking and professional practice.
Human Centered Design Methods I: Read More [+]
Objectives & Outcomes
Course Objectives: The goal of this course is to provide an introduction to design methods used in the development of innovative and realistic customer-driven engineered products, services, and systems.
Student Learning Outcomes: Students will be expected to use tools and methods of professional practice to consider the social, economic and environmental implications of their products, services, or systems.
Rules & Requirements
Prerequisites: Undergraduate degree in a STEM field (engineering or physical science) OR prior experience with the engineering design process or innovation process in business, architecture, or engineering (e.g., ARCH 11A or UGBA C5.)
Hours & Format
Fall and/or spring: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Summer: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Goucher-Lambert
Terms offered: Not yet offered
Students will learn how the body transfers loads during daily activities and how external or internal device design can have a long-term impact on body bio-mechanical function. Some examples include the impact of phone use and forward flexion of the neck and asymmetrical spinal loading due to shoulder bags (e.g., impact on factory workers or military personnel). The role of human-centered design on internal and external devices will be presented through case studies. Lastly, the impact of data from novel portable measurement tools that can be incorporated into wearable devices will be discussed, with a specific focus on disease monitoring, prevention, and early detection.
Designing for the Human Body: Read More [+]
Objectives & Outcomes
Course Objectives:
The main goal of this course is to present how external or internal device design can have a long-term impact on body biomechanical function and the role of human-centered design on internal and external devices.
Student Learning Outcomes: Students will learn how the body transfers loads during daily activities and how external or internal device design can have a long-term impact on body bio-mechanical function.
Rules & Requirements
Prerequisites: *Undergraduate degree in a STEM field. Prerequisites (oponal): hands-on skills (e.g., making 3D models), physics, engineering materials course, engineering design
Hours & Format
Fall and/or spring: 5 weeks - 2.6 hours of web-based lecture and 1 hour of web-based discussion per week
Summer: 5 weeks - 2.6 hours of web-based lecture and 1 hour of web-based discussion per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: O'Connell
Formerly known as: Engineering 202B
Terms offered: Not yet offered
The purpose of this course is to make the student fluent with the context, concepts and key content of the technologies that are driving what is collectively known as “Digital Transformation” (DT), and more specifically, focus on the industrial impact of DT, as captured under the term “Industry 4.0” (I4.0). This topic is quite important: for millennia we have improved our circumstances by managing our material surroundings: tools, shelter, supplies, land. Access to information is meant to enhance our efficiency in doing so, and dwindling resources, impeding climate change, and geopolitical strife are now stressing our planet. This will be an engineering course taught in the context of sociology, economics and geopolitics.
The digital transformation in industry: Read More [+]
Objectives & Outcomes
Course Objectives: The objective is to provide an in-depth introduction to the major Information technology advances
and tools that are impacting industry.
Student Learning Outcomes: The purpose of this course is to make the student fluent with the context, concepts and key content of the technologies that are driving what is collectively known as “Digital Transformation” (DT), and more specifically, focus on the industrial impact of DT, as captured under the term “Industry 4.0” (I4.0).
Rules & Requirements
Prerequisites: Prerequisites* *Undergraduate degree in a STEM field
Hours & Format
Fall and/or spring: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Summer: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Spanos
Terms offered: Prior to 2007
We begin by surveying the electricity grid landscape: smart metering, renewables, flexible loads, electric vehicles, storage, and innovative tariffs.. We introduce energy economics with a focus on electricity markets, consumer and producer behavior. We then analyze the problems that deep renewable integration poses for grid operations and reliability. We explore demand response from distributed resources to enable cost-effective renewable integration. Tomorrow’s grid will have an intelligent periphery. We will explore the architectural and algorithmic components for managing this intelligent periphery for flexible load management. "We then describe a vision for Grid2050 where electricity delivery evolves into interconnected micro-grids."
The Flow of Power, Information and Money in Tomorrow's Smart Grid: Read More [+]
Objectives & Outcomes
Course Objectives: The course will survey the changing landscape of electricity grids, from the basics of electrical grids, the integration of renewable sources through the use of demand response from distributed sources, and to the elements of tomorrow's smart grids using interconnected micro-grids.
Student Learning Outcomes: A comprehensive understanding of (a) central ideas in electricity grids including power flow, state estimation, sensing and actuation in smart grids, (b) electricity markets, locational prices, demand response, models for storage and renewables, (c) policy choices for energy efficiency, pricing of distributed energy resources, and novel market instruments to manage risk and variability.
Rules & Requirements
Prerequisites: 1. Basic complex arithmetic: rectangular and polar coordinates, magnitude, phase, products, ratios. Drawn from any high-school course on complex arithmetic. 2. Basic linear algebra: matrices, vectors, linear equations, inverses, determinants. For example: EECS16A or Math 54. 3. Basic electric circuits: voltage, current, Kirchoff’s current and voltage laws, solving resistive circuits, power, inductors and capacitors. For example: EECS16A or ME 100
Hours & Format
Fall and/or spring: 5 weeks - 2.6 hours of web-based lecture and 1 hour of web-based discussion per week
Summer: 5 weeks - 2.6 hours of web-based lecture and 1 hour of web-based discussion per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Poolla
The Flow of Power, Information and Money in Tomorrow's Smart Grid: Read Less [-]
Terms offered: Not yet offered
This is an engineering introduction to renewable energy technologies and potentials. The course aims to introduce a general engineering/science audience to the basic concepts of renewable energy. Topics to be covered include Solar Energy, Ocean Energy, Wind Energy, and Geothermal Energy. Some mathematical criteria will be covered, e.g. Betz limit for wind, limit of WEC point absorber. Each lecture contains several examples from real world applications and in-progress industrial developments.
Renewable Energy Systems: Read More [+]
Objectives & Outcomes
Course Objectives: To give a big-picture technical overview of different types of renewable energy resources, technologies and opportunities, with the goal of being able to make informed decisions in industry and the government.
Student Learning Outcomes: Graduates of this course should be able to identify the pros and cons of each resource and technology, and to be able to make quantitative and qualitative assessments of the performance of each idea for a given environment.
Rules & Requirements
Prerequisites: Undergraduate degree in a STEM field. As well, minimum prerequisite requirements are: Math 53 (Multivariable Calculus) or equivalent Math 54 (Linear Algebra & Differential Equations) or equivalent Physics 7A, 7B (Physics for Scientists and Engineers) or equivalent ENGIN 7 (Introduction to Programming for Scientists and Engineers) or equivalent
Hours & Format
Fall and/or spring: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Summer: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Alam
Terms offered: Not yet offered
Climate change is arguably the preeminent issue of our time. The transition to a clean energy society can help avoid the worst impacts of climate change. The energy systems engineer's role is to deeply understand the challenges and develop creative technical solutions. This course provides students with an introduction to the technical fundamentals of clean energy challenges and opportunities. Challenges include urbanization, renewable energy integration, and sectors that are difficult to decarbonize. Opportunities include clean energy generation technologies, energy storage, microgrids, and electrified transportation.
Engineering a Net-Zero Carbon Future: Read More [+]
Objectives & Outcomes
Course Objectives: This course focuses on the challenges facing a clean energy transition from the perspective of engineering, science, technology, and economics. Contents include climate change trends, electricity production, transportation, industrial processes, buildings, microgrids, renewables, economics and equity. The emphasis is on connecting technological concepts with scientific fundamentals. More specifically, the course examines the mathematics and physics of energy systems. Upon completion, students will be able to design and analyze energy system solutions, such as solar/wind/storage systems, microgrids, electrified transportation systems, net-zero buildings, and more.
Student Learning Outcomes: 1.
Knowledge of anthropomorphic trends that motivate a clean energy transition
2.
A fundamental understanding of the scientific principles underlying several key clean energy technologies
3.
An ability to understand and communicate about clean energy systems.
Rules & Requirements
Prerequisites: The course prerequisites are: Calculus (Math 1A, Math 1B); Physics: Mechanics (Phys 7A or 8A); Physics: Electricity and Magnetism (Phys 7B or 8B); and General Chemistry (Chem 1A)
Hours & Format
Fall and/or spring: 5 weeks - 1 hour of web-based discussion and 2.6 hours of web-based lecture per week
Summer: 5 weeks - 1 hour of web-based discussion and 2.6 hours of web-based lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Moura
Terms offered: Prior to 2007
Are we running out of energy, land and water? Although the total land area and the volume of water remain constant, their use is under pressure. Energy consumption also increases. Growing population, increasing demand for food, expanding cities, quest for energy, industrialization, and irrational policy are all contributing towards global and local stresses. We will explore the challenges to the availability of water, energy and land as well as potential solutions to the impending crises. We will discuss new technologies for water management, energy production and consumption, and land stewardship. Case studies related to the developing water-land-energy nexus will be presented.
Nexus of Water, Land and Energy in a Sustainable World: Read More [+]
Objectives & Outcomes
Course Objectives: The goal of the course is to explore the challenges to the availability of water, energy and land as well as potential solutions to the impending crisis. Selected applications in various disciplines and economic sectors will be discussed. The course will introduce several mathematical and physical concepts related to system dynamics and sustainability and combine them with normative tenets of ethical behavior. These will be examined in a rigorous way but with emphasis on understanding these concepts rather than on technical details.
Student Learning Outcomes: Ability to formulate and analyze sustainability actions and plans within the three-part framework (Sustainability sphere, time horizon, metrics) and understanding physical and chemical underpinnings of sustainable development.
Rules & Requirements
Prerequisites: Undergraduate degree in a STEM field. Lower division physics (Physics 7A and 7B or equivalent), basic chemistry (Chem 1A or equivalent)
Hours & Format
Fall and/or spring: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Summer: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Hermanowicz
Nexus of Water, Land and Energy in a Sustainable World: Read Less [-]
Terms offered: Prior to 2007
The current rapid evolution of manufacturing technology is reshaping where, when, & by whom objects are produced. The emergence of increasingly sophisticated additive manufacturing processes, coupled w/greater automation, mean that mass customization, decentralized production & more complex geometries & material combinations are more attainable than ever before. Environmental impacts of these new ways of transforming material are challenging to quantify and subject to wide range of differing opinions & assumptions. This course provides participants w/framework for critically analyzing new processing routes, so decisions are made with a clearer view of their implications for energy consumption, recyclability & consumption of finite resources.
Manufacturing in a Climate Emergency: Read More [+]
Objectives & Outcomes
Course Objectives: The main goal of the course is to provide an overview of the impacts of different material and manufacturing process choices and methods of analyzing the impact of a new processing route, which can inform decisions based on a clearer view of their implications for energy consumption, recyclability, and consumption of finite resources.
Student Learning Outcomes: In this course, students will gain a framework for critically analyzing new processing routes, so that decisions can be made with a clearer view of their implications for energy consumption, recyclability, and consumption of finite resources.
Rules & Requirements
Prerequisites: Undergraduate degree in a STEM field. The specific prerequisites are as follows: introductory undergraduate-level physics, chemistry and math, and an introductory undergraduate materials science or mechanics of materials class, or equivalent. These courses at UC Berkeley or their equivalent would satisfy the prerequisites: Phys 7A & 7B, Chem 1A, Math 53, and MEC ENG C85 or Engin 45
Hours & Format
Fall and/or spring: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Summer: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Taylor
Terms offered: Prior to 2007
The physics of water flow is an enabling element in technologies both new & old. The physics concepts are straightforward, but require careful treatment to get meaningful results about water flow. This is because water shows patterns that emerge from the sum of many small motions and are not predicted easily The challenge for a working engineer or manager is knowing when “emergent” patterns can be reliably extrapolated from one system from another, when they can be controlled, and how they connect to the laws of physics when a “sanity check” is needed. This course examines key principles in water physics through a lens of contemporary technology including membranes, turbines, flow cytometers, treatment ponds, gas exchangers & atomizers.
The Physics of Water-Enabled Technology: Read More [+]
Objectives & Outcomes
Course Objectives: This course will enable students to understand the fundamental principles and evaluate the engineering feasibility of contemporary and future technology that relies heavily on the physics of water flow. Application areas for the technology include: energy storage, generation, and transmission; material processing and separation; environmental and climate dynamics. Key concepts include: turbulence, boundary layers, suspension flows, and solute transport.
Student Learning Outcomes: Students will be able to follow and critically evaluate technology proposals that rely on fluid mechanics. Students will be able to calculate the limits and end-members of the most common fluid engineering processes (e.g. mixing, thrust, drag, and resuspension). Students will be able to take a multi-faceted flow problem and rewrite it as a series of linked elements, each one with a known fluid-mechanical nomenclature and standard solution method.
Rules & Requirements
Prerequisites: Undergraduate degree in a STEM field. Recommended additional prerequisites: mastery of algebra, fluency with calculus, fluency with data plotting and fitting including uncertainty. Specific Berkeley classes that meet the recommended additional prerequisites: Math1A, Math1B, Physics 7A, Data8
Hours & Format
Fall and/or spring: 5 weeks - 1 hour of web-based discussion and 2.6 hours of web-based lecture per week
Summer: 5 weeks - 1 hour of web-based discussion and 2.6 hours of web-based lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Variano
Terms offered: Prior to 2007
Electricity production from nuclear energy is highly concentrated and free of green-house
gasses. The pressure to decarbonize electricity generation is leading many to think of nuclear
as a near term solution. Nevertheless, public opinion remains in general skeptical of nuclear.
This course aims to familiarize students with nuclear energy, the way it is produced, and its
overall environmental impact. The course will cover fundamental characteristics of nuclear
energy, will provide students with a practical understanding of nuclear reactors, and will review
the benefits and the challenges that nuclear energy can provide.
Nuclear Energy and the Environment: Read More [+]
Objectives & Outcomes
Course Objectives: This course aims to familiarize students with nuclear energy, the way it is produced, and its overall environmental impact.
Student Learning Outcomes: - Students will learn to evaluate the multiple ways different sources of energy impact the
environment
- Students will understand the main features of nuclear energy, its benefits and its challenges
- Students will be able to understand and explain the basic features of new nuclear
technologies
Rules & Requirements
Prerequisites: STEM undergraduate degree. Also, students should have a basic understanding of the atomic structure and basic knowledge of heat transfer mechanisms
Hours & Format
Fall and/or spring: 5 weeks - 1 hour of web-based discussion and 2.6 hours of web-based lecture per week
Summer: 5 weeks - 1 hour of web-based discussion and 2.6 hours of web-based lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Fratoni
Terms offered: Prior to 2007
One of the leading causes of damage during earthquakes is soil liquefaction. It can have devastating consequences on critical infrastructure such as dams, ports and other lifelines. This course will serve as an introduction to the phenomenon of soil liquefaction, as well as details on simplified and advanced methods of analyses. Specifically, this phenomenon will be presented, as well as empirical and mechanistic methods to determine soil liquefaction triggering and post-liquefaction strength loss and its consequences for a range of materials (gravels, sands and silty soils). Laboratory and field testing to collect data that helps determine liquefaction triggering and post-liquefaction soil behavior (e.g. strength loss, dilation and hardening)
Soil Liquefaction 101: Triggering, Consequences and Mitigation: Read More [+]
Objectives & Outcomes
Course Objectives: 1.
To introduce the phenomenon of soil liquefaction and develop an understanding of the factors contributing to soil liquefaction susceptibility.
2.
To familiarize students with laboratory and field tests that can be used to determine liquefaction vulnerability.
3.
To teach students about available simplified and advanced methods for conducting liquefaction triggering analyses.
4.
To introduce concepts of post-liquefaction soil response and teach students methods for estimating post-liquefaction strength and settlement potential.
5.
To discuss state of the art methods for advanced dynamic numerical modeling of pore pressure generation during seismic shaking
6.
To introduce mitigation techniques for soil liquefaction.
Student Learning Outcomes: 1.
Given certain soil characteristics such as grain size distribution, and plasticity, determine whether the soil is susceptible to soil liquefaction.
2.
Given intensity of shaking, soil characteristics and results from field tests, determine whether the soil will liquefy (deterministic approach), or the probability that the soil will liquefy (probabilistic approach).
3.
Interpretation of laboratory data from cyclic loading tests on liquefiable soils.
4.
Given shaking intensity, soil characteristics/properties, determine what the post-liquefaction and/or volumetric strain potential is.
5.
Given soil characteristics and type of affected infrastructure, select appropriate mitigation measures.
Rules & Requirements
Prerequisites: The prerequisites (or their equivalents) are as follows: Math 1A and 1B OR Math 16A or 16B; Physics 7A OR Physics 8A; CivEng C30/MecEng C85 and CivEng 175
Hours & Format
Fall and/or spring: 5 weeks - 1 hour of web-based discussion and 2.6 hours of web-based lecture per week
Summer: 5 weeks - 1 hour of web-based discussion and 2.6 hours of web-based lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Athanasopoulos-Zekkos
Soil Liquefaction 101: Triggering, Consequences and Mitigation: Read Less [-]
Terms offered: Not yet offered
Ocean Engineering is gaining a renewed flood of attention as energy companies (oil, mining,
renewables) eagerly look for extra resources in the oceans, entailing concerns about the
environment and the planet. This course intends to introduce the basics of engineering
principles for working in the area of ocean engineering. Specifically, topics of wave dynamics,
wave, wind and current loads on ocean structures, and cables and mooring are covered. Each
lecture is accompanied with examples from real-life problems, and for each subject a review of
state of the art applications is provided through videos and presentations.
Principles of Modern Ocean Engineering: Read More [+]
Objectives & Outcomes
Course Objectives: To develop a fundamental understanding of how ocean objects (ships and offshore structures) work as they interact with the ocean environment, and to be able to make engineering designand estimations of forces and loads.
Student Learning Outcomes: By the end of this course, students should be able to identify and explain different forcing factors for vehicles, structures and objects in the ocean, and to be able to estimate the forces and moments on those items.
Rules & Requirements
Prerequisites: Undergrad. degree in STEM field. Basic knowledge of undergraduate-level math (particularly differential equations) necessary. We derive all equations from basic principles and therefore students should be able to follow. Following subjects are highly recommended as prerequistes for this course: Undergrad. level Mathematics (include Differential Equations, e.g. Math 54 or equivalent) Undergrad. Fluid Mechanics (ME106 or equivalent) Undergrad. Solid Mechanics (ME C85,CE C30 or equivalent)
Hours & Format
Fall and/or spring: 5 weeks - 2.6 hours of web-based lecture and 1 hour of web-based discussion per week
Summer: 5 weeks - 2.6 hours of web-based lecture and 1 hour of web-based discussion per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Alam
Terms offered: Not yet offered
Wildland fires are both a natural part of Earth’s ecosystem and a destructive force that devastates people and the environment. This course will present an introduction to the global problem of wildland fire starting with the drivers of destructive wildfire: fire exclusion, expansion in the wildland-urban interface (WUI), and climate change. The basic phenomena that control wildland fires including, ignition, fire spread, suppression, crown fires, smoke generation, hazard and risk analysis, the interplay with fire ecology, etc. will be covered. A specific focus of the course will be on the science, technology and applications engineers use to predict, prevent, detect, and suppress wildland fires.
Wildland Fire Engineering: Read More [+]
Objectives & Outcomes
Course Objectives: The course objectives are to provide students with the knowledge necessary to work within the highly interdisciplinary field of wildland fire, including a broad understanding of the social, ecological, and economic factors influencing wildland fire, a firm understanding of the underlying mechanisms affecting wildland fire spread, and an ability to apply the tools necessary to predict the spread rate and intensity of wildland fires and assess protection of WUI communities.
Student Learning Outcomes: After completing this course, students will have an entirely new perspective on the problem of wildland fire and a new breadth of tools to apply to risk analyses, suppression, and to mitigate the effect of wildfires on communities.
Assess protection of WUI communities
Know some environmental, ecological, social, economic and political factors affecting the field
Knowing the major problems affecting the field of wildland fire
Predict the spread rate and intensity of wildland fires
Understand the underlying mechanisms driving wildland fires
Rules & Requirements
Prerequisites: Calculus (Math 1A and Math 1B or the equivalent); Multivariable calculus (Math 53 or the equivalent)
Hours & Format
Fall and/or spring: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Summer: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Michael Gollner
Terms offered: Prior to 2007
This course is designed as an introduction to the growing world of molecular imaging in medicine and research. The current confluence of increased understanding of how genetic differences mitigate drug response, alongside substantial innovation in targeted molecular therapeutics including gene editing approaches, represents an inflection point for the use of molecular imaging.
This course will provide individuals with fundamental understandings of medical imaging modalities that are used in both R&D and clinical settings. Building upon this framework, corresponding methods for targeted molecular imaging including contrast mechanisms and probe design will provide direct relevance to current needs for high throughput in vivo efficacy measurements
Molecular imaging methods for R&D and clinical trials of emerging molecular therapies: Read More [+]
Objectives & Outcomes
Course Objectives:
Discuss the design of targeted molecular contrast agents for each modality across myriad biological applications
Establish a foundational understanding of MRI (multi-spectral), PET/SPECT, Ultrasound (including photo-acoustic imaging), and emerging methods including MPI
To expose students interested in biomedical research or clinical practice to fundamentals of modern imaging methods and interpretation
To learn quantitative approaches to analyze biomedical images (includes pharmacokinetic models, attenuation correction, cross modality registration, etc.)
Student Learning Outcomes: This course will provide individuals with fundamental understandings of medical imaging modalities that are used in both R&D and clinical settings. Building upon this framework, corresponding methods for targeted molecular imaging including contrast mechanisms and probe design will provide direct relevance to current needs for high throughput in vivo efficacy measurements. Quantitative methods for image analysis will be taught in the context of real world disease targeted applications using published data from recent clinical trials.
Rules & Requirements
Prerequisites: Undergraduate degree in a STEM field and skills/knowledge equivalent to what is covered in UCB Math 53 & 54, EE16A, Physics 7A&7B, Bio1A, MCB 32
Hours & Format
Fall and/or spring: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Summer: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Vandsburger
Molecular imaging methods for R&D and clinical trials of emerging molecular therapies: Read Less [-]
Terms offered: Not yet offered
This is an introductory course to the science behind radiopharmaceutical development and use.It will also cover emerging topics in the field, including new exciting methods for disease treatment and diagnosis. The course is tailored to a broad audience.
Radiopharmaceuticals: From the Basics to the Patients: Read More [+]
Objectives & Outcomes
Course Objectives: Describe processes involved in using medical isotope for diagnostic and therapeutic applications, including isotope production, radiolabeling, pharmaceutical agent development, clinical use, and regulations.
Introduce students to medical isotopes.
Introduce students to physical, chemical and biological effects of radiation on humans and tissue. Describe radiation damage to DNA in a cellular environment.
Provide an overview of state-of-the-art radiopharmaceutical agents available today.
Provide students with background in the basic physical and biological factors governing
radiation effects in man.
● Introduce students to mechanisms by which radiation interacts with matter.
Student Learning Outcomes: Students in this course will gain a background in the science behind radiopharmaceutical development and use.
Rules & Requirements
Prerequisites: Undergraduate degree in a STEM field. The following prerequisite courses or their equivalent are recommended: BIO ENG 10; and BIO ENG 11 or BIOLOGY 1A; PHYSICS 7A & 7B; and MATH 54
Hours & Format
Fall and/or spring: 5 weeks - 2.6 hours of web-based lecture and 1 hour of web-based discussion per week
Summer: 5 weeks - 2.6 hours of web-based lecture and 1 hour of web-based discussion per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Abergel
Radiopharmaceuticals: From the Basics to the Patients: Read Less [-]
Terms offered: Prior to 2007
The brain is the most spectacular yet most mysterious organ in our body. It controls every action we make, determines who we are and exceeds in its capacity any existing computer. The course will provide students with a detailed description of the basic principles of brain function, i.e., neurophysiology. The course will start from the cellular resolution and expand into a systems-wide view (such as vision, auditory, motor, memory systems) while underscoring shared neurophysiological principles. Furthermore, the course will provide students with real-life examples of clinical conditions that are associated with malfunctions in those systems as well as examples of solutions that were derived to treat physiological deficits in them.
Introduction to Neurophysiology: Read More [+]
Objectives & Outcomes
Course Objectives: The course will provide students with a detailed description of the basic principles of brain function, i.e., neurophysiology.
Student Learning Outcomes: Students will learn the basic principles of brain function starting from the cellular resolution and expanding into a systems-wide view.
Rules & Requirements
Prerequisites: Undergraduate degree in a STEM field. The following prerequisite courses or their equivalent are recommended: BIO ENG 10 ; and BIO ENG 11 or BIOLOGY 1A ; and MATH 54
Hours & Format
Fall and/or spring: 5 weeks - 2.6 hours of web-based lecture and 1 hour of web-based discussion per week
Summer: 5 weeks - 2.6 hours of web-based lecture and 1 hour of web-based discussion per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Yartsev
Terms offered: Fall 2015, Fall 2014, Fall 2013
Topics include complex variable methods, contour integration, solution of Laplace's equation via analytic function theory; asymptotic methods for evaluating integrals and solving differential equations; introduction to calculus of variations with applications; introductory integral equations. The course is intended to expose students in engineering and physical sciences to a range of methods for solving equations associated with mathematical models of physical processes.
Methods of Applied Mathematics: Read More [+]
Terms offered: Fall 2019, Fall 2018, Fall 2017
This course offers an integrated treatment of three topics essential to modern engineering: linear algebra, random processes, and optimization. These topics will be covered more rapidly than in separate undergraduate courses covering the same material, and will draw on engineering examples for motivation. The stress will be on proofs and computational aspects will also be highlighted. It is intended for engineering students whose research focus has a significant mathematical component, but who have not previously had a thorough exposure to these topics.
Mathematical Methods in Engineering: Read More [+]
Hours & Format
Fall and/or spring: 15 weeks - 3 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructors: Packard, Poolla
Terms offered: Prior to 2007
In this course, Fundamental Data Structures, students will learn about the foundational data structures used by almost all programming languages. Rather than simply presenting these data structures as fait accompli, we will start from scratch, working together to develop the beautiful and important ideas that result. The course assumes familiarity with the Java Programming language, which is covered in the course ENGIN 234 “Introduction to Java and Software Engineering.”
Fundamental Data Structures: Read More [+]
Objectives & Outcomes
Course Objectives: In this course we will learn several different approaches to solving canonical CS problems. We will also learn to study the asymptotic runtime and space complexity of these approaches.
Student Learning Outcomes: After taking this course, students will better understand how to take big complex problems and break them down into digestible subproblems. Students will understand how to analyze the efficiency of their solutions to computational problems. Students will understand some of the most important data structures in computing. Students will understand how an abstract data type can be implemented with many different concrete approaches.
Rules & Requirements
Prerequisites: Undergraduate degree in a STEM field. Students need to be familiar with the Java programming language and linked lists. This prerequisite knowledge is covered in ENGIN 234 - Introduction to Java and Software Engineering
Hours & Format
Fall and/or spring: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Summer: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Hug
Terms offered: Not yet offered
We are often presented with a set of data, often very large, about various processes or phenomena (health data, economic performance, environmental indices, experimental observations). How do we make sense of them? We will describe various statistical tools that will allow us to draw meaningful conclusions (inference). Topics covered include various distribution functions and criteria for their selection (goodness of fit), descriptive statistics compressing the data, estimation of various parameters from the data, measures of relationships between different datasets (correlation, regression), and data related in time (time series).
Making Sense of Data: Introduction to Statistical Inference: Read More [+]
Objectives & Outcomes
Course Objectives: To enable students to draw conclusions from a set of data using statistical methods.
Student Learning Outcomes: Knowledge of how to use statistical techniques, appreciate their assumptions and fundamentals, and to recognize their misuse.
Rules & Requirements
Prerequisites: Calculus (Math 1A and 1B or the equivalent). An undergraduate degree in a STEM field is preferred
Hours & Format
Fall and/or spring: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Summer: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Hermanowicz
Formerly known as: Engineering 236
Making Sense of Data: Introduction to Statistical Inference: Read Less [-]
Terms offered: Spring 2024, Spring 2023, Spring 2022, Spring 2021
Models for parallel programming. Overview of parallelism in scientific applications and study of parallel algorithms for linear algebra, particles, meshes, sorting, FFT, graphs, machine learning, etc. Survey of parallel machines and machine structures. Programming shared- and distributed-memory parallel computers, GPUs, and cloud platforms. Parallel programming languages, compilers, libraries and toolboxes. Data partitioning techniques. Techniques for synchronization and load balancing. Detailed study and algorithm/program development of medium sized applications.
Applications of Parallel Computers: Read More [+]
Rules & Requirements
Prerequisites: No formal pre-requisites. Prior programming experience with a low-level language such as C, C++, or Fortran is recommended but not required. CS C267 is intended to be useful for students from many departments and with different backgrounds, although we will assume reasonable programming skills in a conventional (non-parallel) language, as well as enough mathematical skills to understand the problems and algorithmic solutions presented
Repeat rules: Course may be repeated for credit without restriction.
Hours & Format
Fall and/or spring: 15 weeks - 3-3 hours of lecture and 1-1 hours of laboratory per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructors: Demmel, Yelick
Also listed as: COMPSCI C267
Terms offered: Not yet offered
The Introduction to Java and Software Engineering course provides important principles and
techniques that you can use to minimize overall development and maintenance time when
writing computer programs. To that end, we introduce the Java programming language, a widely used programming language that supports these best practices, though these practices can be applied in other languages as well. The course assumes familiarity with at least one
programming language, not necessarily Java.
Introduction to Data Structures and Software Engineering: Read More [+]
Objectives & Outcomes
Course Objectives: This course will begin by introducing the Java programming language and tools for compiling and running Java programs. We will then introduce some essential software engineering practices in the context of implementing linked lists and array lists.
Student Learning Outcomes: After completing the course, students will have a basic familiarity with Java, an understanding of basic software engineering practices and how Java supports them, and how lists can be implemented in many different ways.
Rules & Requirements
Prerequisites: Prior experience with any programming language, not necessarily Java. Students should be comfortable with recursion. Experience with object oriented programming is encouraged, but not required. Example courses that satisfy this requirement: COMPSCI 61A, COMPSCI 88, and ENGIN 7
Credit Restrictions: Students will receive no credit for ENGIN 234 after completing COMPSCI 61B. A deficient grade in ENGIN 234 may be removed by taking COMPSCI 61B.
Hours & Format
Fall and/or spring: 5 weeks - 2.6 hours of web-based lecture and 1 hour of web-based discussion per week
Summer: 5 weeks - 2.6 hours of web-based lecture and 1 hour of web-based discussion per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Hug
Introduction to Data Structures and Software Engineering: Read Less [-]
Terms offered: Prior to 2007
In recent years Python has emerged as an indispensable programming language for engineers, both practicing and academic, as well as data scientists, web developers, and many others. However the language is vast and includes many features that are not relevant to most engineers. This course helps students to quickly gain a foothold with the parts of the language that they are most likely to use. We will set up our programming environment with Anaconda, Jupyter, and PyCharm. We will learn the basic data types and syntax of the language, and then delve into its most popular numerical packages: Numpy, SciPy, and Pandas. The course includes many demonstrations of the concepts, and sample visualizations created with Matplotlib.
Python for Engineers: Read More [+]
Objectives & Outcomes
Course Objectives: The goal of this course is to help students to quickly gain a foothold with the parts of the language that they are most likely to use.
Student Learning Outcomes: Learn basic Python syntax.
Learn how to navigate the Python universe, including finding and installing new libraries, and overcoming programming obstacles.
Learn to solve engineering problems using Python
Rules & Requirements
Prerequisites: Undergraduate degree in a STEM field. Students who take this course should have a basic understanding of linear algebra and ordinary differential equations (e.g. Math 54). They should also be familiar with the basic concepts of probability and statistics: random variables, Gaussian distribution, up to linear regression (e.g. STAT 2)
Hours & Format
Fall and/or spring: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Summer: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Gomes
Terms offered: Prior to 2007
This course aims at providing basics of Data Science to students and professionals who need to work with and analyze a large volume of data. The base programming language is Matlab, but techniques taught, and topics covered can be coded in any programming language (examples from Python and Fortran will be discussed). The course is aimed at graduate students in engineering, and therefore examples, assignments and the course project are from real life scenarios and engineering problems.
Applied Data Science for Engineers: Read More [+]
Objectives & Outcomes
Course Objectives: The objective is to provide the students with a set of important tools that are necessary in analyzing large data. This course is designed for those with little programming experience or background in data science.
Student Learning Outcomes: By the end of this course students should be able to handle, analyze and interpret a large volume of data associated with a specific problem. The examples are given from the engineering and physical world (oceans, atmosphere, machines). The expected outcome is to make sense of a large data set, identifying features, prediction of the future state of the system, and performing optimization.
Rules & Requirements
Prerequisites: Undergraduate degree in a STEM field. Specifically required courses (or their equivalent) follow below: Math 53 (Multivariable Calculus) or equivalent Math 54 (Linear Algebra & Differential Equations) or equivalent Physics 7A and Physics 7B (Physics for Scientists and Engineers) or equivalent ENGIN 7(Introduction to Programming for Scientists and Engineers) or equivalent
Hours & Format
Fall and/or spring: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Summer: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Alam
Terms offered: Prior to 2007
The Data Science and Machine Learning Fundamentals course provides an introduction to machine learning in the context of data science. By the end of the course, students will know how to clean, visualize, and model real world datasets using basic machine learning techniques. The course assumes a familiarity with the Python programming language.
Data Science and Machine Learning Fundamentals: Read More [+]
Objectives & Outcomes
Course Objectives: Early in the course, we will explore how linear models can be used to solve two of the most important problems in machine learning: Regression and Classification. Along the way, we will learn some important concepts that allow us to avoid overfitting in our models. At the end of the course, we will discuss some practical skills for using and visualizing real world datasets.
Student Learning Outcomes: After the course, students will be able to model and understand real world data and tell insightful and accurate stories about what they discover.
Rules & Requirements
Prerequisites: Undergraduate degree in STEM field. Students should have basic familiarity with Python (e.g. COMPSCI 61A, COMPSCI 88 or the equivalent) and linear algebra (e.g. Math 54 or the equivalent). Experience with NUMPY recommended, but not required
Hours & Format
Fall and/or spring: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Summer: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Hug
Data Science and Machine Learning Fundamentals: Read Less [-]
Terms offered: Prior to 2007
This course will introduce linear algebra, and cover some fundamental algorithms in machine learning including least squares, orthogonal matching pursuit and ridge regression. We will talk about the concepts of validation and testing. This is not intended to be an advanced machine learning course, but more a mathematical course to build out the basic background.
An Introduction to the Basics of Machine Learning: Read More [+]
Objectives & Outcomes
Course Objectives: The course objectives are to give students the firm grounding in linear algebra that is necessary as a foundation for any machine learning work.
Student Learning Outcomes: Students will be able to understand the fundamentals of linear algebra and have exposure to the basic/most commonly used machine learning techniques from a mathematical perspective.
Rules & Requirements
Prerequisites: The course prerequisites are skills in calculus and trigonometry, equivalent to Math 1A
Hours & Format
Fall and/or spring: 5 weeks - 1 hour of web-based discussion and 2.6 hours of web-based lecture per week
Summer: 5 weeks - 1 hour of web-based discussion and 2.6 hours of web-based lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Ranade
An Introduction to the Basics of Machine Learning: Read Less [-]
Terms offered: Prior to 2007
Optimization theory concerns the selection of a best option from a set of available options. Formulating an optimization problem involves describing the feasible set as well as prescribing a notion of “best”. This setup, although simple, is one of the most important and widespread ideas in engineering and the sciences. The course will begin by demonstrating the use of optimization theory in many contexts. Then, the second module of the course will delve into the class of tractable “convex” problems. In the third module we willreview more advanced topics, including optimal control and solving non-convex problems with algorithms.
Optimization Theory and Practice: Read More [+]
Objectives & Outcomes
Course Objectives: The main goal of this course is to demonstrate the use of optimization theory in many contexts where the students will learn the standard categorization of optimization problems, and the mathematical and numerical tools available in each category. These will be applied to applications in the real world.
Student Learning Outcomes: Students will learn to formulate decision problems from the real world as mathematical optimization problems,
To classify these problems and select an appropriate solution technique
To solve the problems with a computer program.
Rules & Requirements
Prerequisites: Undergraduate degree in a STEM field. Also, prerequisites include Math 53, Math 54, Physics 7A, and Physics 7B or their equivalents). In addition, prerequisites include programming (e.g. ENGIN 7 and ENGIN 177 or their equivalents)
Hours & Format
Fall and/or spring: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Summer: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Gomes
Terms offered: Not yet offered
Optimization is a fascinating topic that finds applications across a wide array of disciplines, including finance, energy, data science, physical sciences, public policy, social science, and more. After completing the course, students will have an entirely new perspective on designing systems using mathematical optimization. Specifically, this course provides students with an introduction to mathematical optimization from the point-of-view of data science applications,
e.g. mobility, energy, finance. Foundational concepts include optimization formulations, linear programming, quadratic programming, convex optimization, and machine learning.
Optimization of Engineering Systems: Read More [+]
Objectives & Outcomes
Course Objectives: This course is designed to provide students with an introduction to mathematical optimization from the point-of-view of data science applications, e.g. mobility, energy, finance.
Student Learning Outcomes: After completing this course, students will have an entirely new perspective on designing systems using mathematical optimization.
Learn to abstract practical engineering design problems into mathematical optimization programs
Construct a foundation for the fundamental principles of optimization, including objective functions vs. constraints, linear, nonlinear, and convex formulations, gradient-based methods vs. non-gradient based methods, and solution properties
Increase programming skills and familiarity with modern optimization packages, such as CVX/CVXPY, IPOPT, and more.
Interpret machine learning models as optimization problems
Rules & Requirements
Prerequisites: Undergraduate degree in a STEM field. The course prerequisites are: - Calculus (Math 1A and Math 1B or the equivalent); - Multivariable calculus (Math 53 or the equivalent); - Linear Algebra (Math 54 or the equivalent); - Introduction to Programming, Computer or Data Science (ENGIN 7 or COMPSCI 61A or DATA C8 or the equivalent)
Hours & Format
Fall and/or spring: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Summer: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Moura
Terms offered: Prior to 2007
Robust optimization is concerned with decision-making under uncertainty, where the emphasis
is on guaranteeing a maximal level of performance despite unknown-but-bounded uncertainty.
This course covers the essentials of robust optimization and applications to various areas of
engineering and machine learning.
Robust Optimization and Applications: Read More [+]
Objectives & Outcomes
Course Objectives: Students will learn the basic techniques and be exposed to various ways one can model uncertainty so that the robust optimization problem is easily solvable.The course aims to equip students to use optimization for real-world problems in a way that is resilient and reliable despite uncertainty.
Rules & Requirements
Prerequisites: Undergrad. degree STEM field, w/strong linear algebra background. Expected proficiency: Basic linear algebra concepts: vector norms, scalar products & hyperplanes. Useful but not required: symmetric matrices and their eigenvalues, PCA and SVD. Limited exposure to basic concepts in optimization: optimiz. models, optimal value, constraints, feasible & optimal set. Moderate level/higher computing programming language: Python and/or Matlab EECS 127: Optimiz. Model1 recommended prior to class
Hours & Format
Fall and/or spring: 5 weeks - 2.6 hours of web-based lecture and 1 hour of web-based discussion per week
Summer: 5 weeks - 2.6 hours of web-based lecture and 1 hour of web-based discussion per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Ghaoui
Terms offered: Not yet offered
This course takes the students from atomic arrangements, to crystal structure, grain structure, texture, defects in materials, and finally to thermodynamic assessment of materials microstructure. The main focus is on metallic materials with steel metallurgy and steel classification being commonly used to demonstrate course content, while an introduction to ceramics are provided. Basic introduction in materials characterization is provided to give the students the background necessary to distinguish different materials in use.
Design and Analysis of Modern Structural Materials 1: Read More [+]
Objectives & Outcomes
Course Objectives: The main goal of the course is to provide an introduction from atomic arrangements, thermodynamic assessment of materials to microstructure, as well as to give the students the background necessary to distinguish different materials in use.
Student Learning Outcomes: The students will learn crystal structure, grain structure, texture, defects, and a basic introduction in materials characterization is provided to give the students the background necessary to distinguish different materials in use.
Rules & Requirements
Prerequisites: Undergraduate degree in STEM field. This course will build upon the principles learned in an introductory chemistry course, such as Chem 1A, and thus Chem 1A or its equivalent is recommended as a prerequisite. Also, the exploration of materials properties necessitates the reading interpretation of figures and graphs understanding of slopes and related features, therefore a basic course in calculus such as Math 53 or its equivalent is recommended
Hours & Format
Fall and/or spring: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Summer: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructors: Hosemann, Sherburne
Design and Analysis of Modern Structural Materials 1: Read Less [-]
Terms offered: Prior to 2007
This class builds upon the 241A “Introduction to Structural Materials 1” class and expands towards diffusion, phase diagrams, phase transformation, solidification, and alloy systems. Examples include steels, aluminum and titanium alloys. Furthermore, composite materials and ceramics are featured for high performance applications.
Introduction to Structural Materials II: Read More [+]
Objectives & Outcomes
Course Objectives: The main goal of this course is to build upon the 241A “Introduction to Structural Materials I” class and expand towards diffusion, phase diagrams, phase transformation, solidification, and alloy systems.
Student Learning Outcomes: The main goal of the course is to build upon 241A “Introduction to Structural Materials I” toward an understanding of how processing leads to structure and how to characterize the microstructures. Students will understand how defects affect properties. Also, students will gain an understanding of the criteria by which a working professional would select materials for specific applications.
Rules & Requirements
Prerequisites: 1.This course will build upon principles learned in an introductory chemistry course (ie Chem 1A or equivalent). 2. Exploration of materials properties necessitates the exploration of figures, and interpretation of the figures requires understanding of slope, therefore a basic course in calculus (ie Math 53 or equivalent recommended). 3. Students expected to have solid foundation in thermodynamics (ie Engin 40 or equiv.) 4. 241A “Introduction to Structural Materials I"
Hours & Format
Fall and/or spring: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Summer: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructors: Hosemann, Sherburne
Terms offered: Prior to 2007
This course emphasizes background, theory, analysis, assessment, design frameworks & engineering tools to achieve resiliency of smart structural systems. We focus on use of sensors, structural analyses, experimental methods, & probabilistic modeling & structural health monitoring using artificial intelligence tools. Concepts are holistically integrated towards a paradigm of resilient design engineering of sustainable critical infrastructure systems
subjected to extreme and service conditions.
Course topics cover a variety of numerical methods, experimental methods, combination of numerical and experimental methods (hybrid simulation), structural health monitoring, structural reliability, decision making under uncertainty and deep learning.
Resilient Structural Systems to Natural Hazard: Read More [+]
Objectives & Outcomes
Course Objectives: The main goal of this course is to emphasize the background, theory, analysis, assessment, and
design frameworks and engineering tools to achieve resiliency of smart structural systems.
Student Learning Outcomes: The course will empower the participants with the general multipurpose trans-disciplinary knowledge, background and tools needed for successful assessment and design of resilient structural and infrastructural systems in the face of natural hazards and extreme events.
Rules & Requirements
Prerequisites: Undergraduate degree in a STEM field (1) Skills-based requirements are: basic knowledge of mathematics, physics and basic programming. (2) Although not necessary, the following UG courses at UCB are suggested as prerequisites: CIV ENG 120 or equivalent, and CS C8 or equivalent
Hours & Format
Fall and/or spring: 5 weeks - 2.6 hours of web-based lecture and 1 hour of web-based discussion per week
Summer: 5 weeks - 2.6 hours of web-based lecture and 1 hour of web-based discussion per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Mosalam
Resilient Structural Systems to Natural Hazard: Read Less [-]
Terms offered: Prior to 2007
This course is focused on the design and assessment of structures subjected to fire. The course material emphasizes a 3-phase approach to structural-fire engineering: (1) fire modeling, (2) heat transfer modeling, and (3) structural modeling. Students will become familiar with both current prescriptive approaches to structural-fire engineering and emerging performance-based design approaches. Students will be able to appreciate several important topics related to performance of structures under the effect of fires.
Structural Fire Engineering: Read More [+]
Objectives & Outcomes
Course Objectives: The main goal of this course is to provide a background on the design and assessment of structures subjected to fire. The course material emphasizes a 3-phase approach to structural-fire engineering: (1) fire modeling, (2) heat transfer modeling, and (3) structural modeling.
Student Learning Outcomes: Students will become familiar with both current prescriptive approaches to structural-fire engineering and emerging performance-based design approaches. Students will be able to appreciate several important topics related to performance of structures under the effect of fires.
Rules & Requirements
Prerequisites: Undergraduate degree in a STEM field (1) Skills-based requirements are: basic knowledge of mathematics (i.e. Math 53 and Math 54 or equivalent), physics (i.e. Physics 7A and Physics 7B or equivalent) and basic programming (COMPSCI C8 or equivalent). (2) Although not necessary, the following undergraduate course at UC Berkeley is suggested as a prerequisite: CIV ENG 120 or equivalent
Hours & Format
Fall and/or spring: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Summer: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructors: Mosalam, Eslami
Terms offered: Not yet offered
This course aims at providing the basics of Aerodynamics for students and professionals who are considering the Aerospace industry as an academic focus area, a job target, or for those who are aircraft enthusiasts. A basic knowledge of mathematics (undergraduate level) is recommended for students to follow everything discussed in the course, but even without that the audience should be able to follow most of the course. Several experiments will be shown, and concepts are discussed with the help of videos of real-life scenarios, incidents and
controlled-experiments.
Fundamentals of Modern Aerodynamic Design and Analysis: Read More [+]
Objectives & Outcomes
Course Objectives: To develop a fundamental understanding of fluid flow with a focus on how air behaves near moving objects. Specifically, the objective is to learn about how lift is generated by airfoils, form and skin friction drags, separation, turbulence, wing boundary layer, and different approximate theories to analyze flight.
Student Learning Outcomes: By the end of this course, students should have an in-depth understanding of how aerial vehicles work, and be able to estimate different characteristics of moving objects in air.
Rules & Requirements
Prerequisites: Undergraduate degree in a STEM field. Specifically required courses (or their equivalent) follow below: - Math 53 (Multivariable Calculus) or equivalent - Math 54 (Linear Algebra & Differential Equations) or equivalent - Physics 7A and Physics 7B (Physics for Scientists and Engineers) or equivalent - ENGIN 7 (Introduction to Programming for Scientists and Engineers) or equivalent
Hours & Format
Fall and/or spring: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Summer: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Alam
Fundamentals of Modern Aerodynamic Design and Analysis: Read Less [-]
Terms offered: Prior to 2007
This course provides an overview of the basic concepts in linear systems and feedback control. The first module of the course begins with an exploration of the feedback control problem and its applications in various fields: robotics, manufacturing, traffic, etc. We will present the unifying mathematical formulation of the problem, as well as its fundamental concepts: equilibrium and stability. In the second module we explore output feedback techniques. In the third module we describe the pole placement approach to state feedback, and couple it with the analogous state estimator. We conclude the course by solving the example of the previous module with state feedback techniques, and motivating other advanced topics in control theory.
Feedback control for linear systems: Read More [+]
Objectives & Outcomes
Course Objectives: The main goal of the course is to provide an overview of the basic concepts in linear systems and feedback control.
Student Learning Outcomes: An appreciation for the tradeoffs involved in control systems design.
An understanding of the behavior of linear systems and how they can be influenced with feedback control.
An understanding of the power and limitations of output feedback control with PID, and the versatility of pole placement coupled with state estimation.
Rules & Requirements
Prerequisites: Students who take this course should have a basic understanding of linear algebra, physics, and ordinary differential equations (e.g. Math 53, Math 54, Physics 7A, and Physics 7B or the equivalent). Students should also have programming skills (e.g. ENGIN 7 and ENGIN 177 or the equivalent)
Hours & Format
Fall and/or spring: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Summer: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Gomes
Terms offered: Prior to 2007
This course provides a basic introduction to nonlinear dynamical systems and their control. The first module begins with an overview of nonlinear system models,and types of behaviors that can only arise in nonlinear systems. The second module introduces Lyapunov stability theory and Lyapunov functions. The third module focuses on feedback control design for nonlinear systems, starting with back stepping as an example of Lyapunov-based feedback design to stabilize an operating point. The fourth module introduces feedback linearization for stabilization, then proceeds to sliding mode control for
stabilization in the presence of model uncertainty. The course will illustrate all concepts with
physically-motivated examples.
Analysis and Control of Nonlinear Systems: Read More [+]
Objectives & Outcomes
Course Objectives: To provide an introduction to nonlinear systems and control.
Student Learning Outcomes: Ability to self-study further results in nonlinear control.
Familiarity with nonlinear control techniques, such as backstepping, feedback linearization, and sliding mode control.
Understanding of nonlinear systems and how their behavior can be regulated by feedback control.
Rules & Requirements
Prerequisites: Undergraduate degree in a STEM field. The following prerequisite courses or their equivalent are recommended: MATH 53; plus MATH 54 or EECS 16B. Note: the course 250 “Feedback Control for Linear Systems” is better taken before 250A, but 250 is not a prerequisite for 250A
Hours & Format
Fall and/or spring: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Summer: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Arcak
Terms offered: Prior to 2007
Forecasts are fundamental in new generation of autonomous & semi-autonomous systems. Predictions of systems dynamics, human behavior and environment conditions can improve safety & performance of resulting system. Predictive control is the discipline of feedback control where forecasts are used to change in real time behavior of a dynamical system. Optimization-based control design is a highly requested skill from many industries, including energy automotive, aerospace, process control & manufacturing. This course covers basic design of SISO & MIMO and predictive feedback controllers for linear & nonlinear systems. The student will be exposed to applying predictive control design & analysis tools to classical & modern control problems.
Model Predictive Control for Autonomous Systems Introduction: Read More [+]
Objectives & Outcomes
Course Objectives: To enable students to understand the basic design predictive feedback controllers for autonomous systems. The student will understand when and how to apply predictive control design to autonomous systems including self-driving cars and robotic manipulators.
Student Learning Outcomes: The student will master the basic skills needed to apply predictive control design to modern control problems. In particular, the participant will be exposed to and develop expertise in MPC control design, the tradeoff between linear and nonlinear modeling, pre-computation versus online optimization.
Rules & Requirements
Prerequisites: The recommended course prerequisites are ordinary differential equations (Math 1B, Math 53, Math 54), Physics (7A-7B), and Programming (E7 or Data C100)
Hours & Format
Fall and/or spring: 5 weeks - 1 hour of web-based discussion and 2.6 hours of web-based lecture per week
Summer: 5 weeks - 1 hour of web-based discussion and 2.6 hours of web-based lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Borrelli
Model Predictive Control for Autonomous Systems Introduction: Read Less [-]
Terms offered: Prior to 2007
Bipedal robot locomotion is a challenging problem. This course will introduce students to the math behind bipedal legged robots. We will cover modeling and dynamics of legged robots, trajectory planning for designing walking and running gaits, and common control strategies to achieve the planned motions. The course also includes applied techniques of programming up a simulator with a dynamical model of a bipedal robot as well as a controller that stabilizes a walking gait. This course will take students through every step of the process, including:
Mathematical modeling of walking gaits in planar robots.
Analysis of periodic orbits representing walking gaits.
Algorithms for synthesizing feedback controllers for walking.
Algorithms for op
Legged Robots: How to Make Robots Walk and Run: Read More [+]
Objectives & Outcomes
Course Objectives: The goal of this course is to introduce students to the math behind bipedal legged robots. We will cover modeling and dynamics of legged robots, trajectory planning for designing walking and running gaits, and common control strategies to achieve the planned motions.
Student Learning Outcomes: Students in this course will learn applied techniques of programming up a simulator with a dynamical model of a bipedal robot as well as a controller that stabilizes a walking gait.
Rules & Requirements
Prerequisites: Undergraduate degree in STEM field. Background in dynamics (ME 104 or equivalent), background in linear differential equations and feedback control (ME 132 or equivalent) will be required. Additionally, some knowledge of state-space models and linear algebra will also be helpful
Hours & Format
Fall and/or spring: 5 weeks - 2.6 hours of web-based lecture and 1 hour of web-based discussion per week
Summer: 5 weeks - 2.6 hours of web-based lecture and 1 hour of web-based discussion per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Sreenath
Legged Robots: How to Make Robots Walk and Run: Read Less [-]
Terms offered: Prior to 2007
Aerial robots are increasingly becoming part of our daily lives. This course is aimed at a broad audience, and intends to give an introduction to the main considerations made when designing aerial robots. We will consider sizes ranging from less than 1 kilogram to vehicles that can carry multiple passengers. Using simple physics, we will derive some fundamental constraints and trade-offs. We will also discuss autonomy of such systems, and specifically different components used in the sense-decide-act feedback control loop.
Flying Robots: From Small Drones to Aerial Taxis: Read More [+]
Objectives & Outcomes
Course Objectives: This course intends to give an introduction to the main considerations made when designing aerial robots.
Student Learning Outcomes: At the end of the course the student will have an understanding of the physics governing aerial robotics; the most important forms of actuation and sensing; and a high-level understanding of how autonomous flight is achieved through feedback.
Rules & Requirements
Prerequisites: Multivariable calculus, Linear algebra, Differential equations (e.g. Math 53 & 54). Engineering physics (e.g. Physics 7A and Physics 7B)
Hours & Format
Fall and/or spring: 5 weeks - 1 hour of web-based discussion and 2.6 hours of web-based lecture per week
Summer: 5 weeks - 1 hour of web-based discussion and 2.6 hours of web-based lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Mueller
Flying Robots: From Small Drones to Aerial Taxis: Read Less [-]
Terms offered: Prior to 2007
Predictive control is the discipline of feedback control where forecasts are used to change in real time the behavior of a dynamical system. Optimization-based control design is a highly requested skill from a number of industries, including energy, automotive, aerospace, process control and manufacturing. Forecasts are fundamental in the new generation of autonomous and semi-autonomous energy systems. This course covers the basic design of applied predictive control. The student will be exposed to how to apply predictive control design and analysis tools to classical and modern control problems with application to renewable energy systems including solar power plants, energy storage systems and Heating, Ventilation and Air Conditioning (HV
Model Predictive Control for Energy Systems - Introduction: Read More [+]
Objectives & Outcomes
Course Objectives: To enable students to understand the basic design predictive feedback controllers for energy systems. The student will understand when and how to apply predictive control design to autonomous systems including solar power plants and HVAC.
Student Learning Outcomes: The student will master the basic skills needed to apply predictive control design to modern energy systems. In particular, the participant will be exposed to and develop expertise in MPC control design for energy storage, solar power plants and HVAC systems.
Rules & Requirements
Prerequisites: The recommended course prerequisites are: Ordinary differential equations (e.g. Math 1B, Math 53, and Math 54 or the equivalent), Physics (Physics 7A and Physics 7B or the equivalent), and Programming (ENGIN 7 or DATA C100 or the equivalent)
Hours & Format
Fall and/or spring: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Summer: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Borrelli
Model Predictive Control for Energy Systems - Introduction: Read Less [-]
Terms offered: Prior to 2007
The first module begins with foundational concepts and an overview of the use of models in engineering. What is a model? What is the role of data and measurements? The second module will be devoted to mechanistic models: those that are built on prior physical principles. We will classify these into static and dynamical models. The third module will focus on data-based models, culminating with the modern techniques of deep learning. In the process we will learn the basic techniques of linear regression and logistic regression, as well as practical considerations such as training versus testing data sets and over-fitting.
Models in Engineering: Read More [+]
Objectives & Outcomes
Course Objectives: The main goal of the course is to provide foundational concepts and an overview of the use of models in engineering to answer questions such as: What is a model? What is the role of data and measurements? What are mechanistic, data-based, and mixed models? What are static and dynamical models? Where do optimization theory and control theory fit in?
Student Learning Outcomes: 1.
A unified understanding of a number of modeling techniques, including regression, classification (deep neural networks), differential equations, and finite elements.
2.
A grasp of the role of control theory and optimization in solving engineering problems.
3.
A broad view of the available techniques, which will allow them to make better engineering decisions in their academic and professional careers.
Rules & Requirements
Prerequisites: Undergraduate degree in a STEM field. Students who take this course should have a basic understanding of linear algebra and ordinary differential equations (e.g. Math 54 or the equivalent). They should also be familiar with the basic concepts of probability and statistics: random variables, Gaussian distribution. We will implement many of the concepts in Matlab and/or Python, so some knowledge of one of these languages is needed ENGIN 7, COMPSCI C8, COMPSCI 10, or the equivalent)
Hours & Format
Fall and/or spring: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Summer: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Gomes
Terms offered: Prior to 2007
Motivated by applications to health care, the field of soft robotics has witnessed explosive
growth in the past decade. Most research has focused on prototype design and development
while engineering analyses and material science research have slowly lagged. This course has
been constructed to introduce nonlinear models and analyses of soft robotic devices whose
primary purpose is either to locomote or grip. During the course, students will be exposed to the rapidly developing field of soft robotics and learn some of the technical challenges in this field. Students will learn about the wide range of nonlinear modeling strategies that can be used to develop mathematical models for the dynamics of a soft robot.
Modeling and Analyzing the Dynamics of Location and Gripping Soft Robots: Read More [+]
Objectives & Outcomes
Course Objectives: The course objectives include surveying the rapidly developing field of soft robotics. Through case studies and a capstone project, students will develop skills in and an appreciation for the wide range of possible modeling techniques and analyses available with which to explore the dynamics of soft robotic devices.
Rules & Requirements
Prerequisites: Undergraduate degree in a STEM field
Hours & Format
Fall and/or spring: 5 weeks - 1 hour of web-based discussion and 2.6 hours of web-based lecture per week
Summer: 5 weeks - 1 hour of web-based discussion and 2.6 hours of web-based lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: O'Reilly
Modeling and Analyzing the Dynamics of Location and Gripping Soft Robots: Read Less [-]
Terms offered: Fall 2012, Fall 2010, Spring 2007
Application of finite difference methods to current problems of fluid dynamics, including compressible and incompressible flow. Sponsoring department: Mechanical Engineering.
Finite Difference Methods for Fluid Dynamics: Read More [+]
Rules & Requirements
Prerequisites: A graduate-level course in fluid dynamics or numerical methods for differential equations, or consent of instructor
Hours & Format
Fall and/or spring: 15 weeks - 3 hours of lecture, 1 hour of discussion, and 3 hours of laboratory per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Marcus
Formerly known as: 266
Terms offered: Fall 2023, Spring 2020, Spring 2018
Application of spectral methods to current problems of fluid dynamics, including compressible and incompressible flow. Sponsoring department: Mechanical Engineering.
Spectral Methods for Fluid Dynamics: Read More [+]
Rules & Requirements
Prerequisites: A graduate-level course in fluid dynamics or numerical methods for differential equations, or consent of instructor
Hours & Format
Fall and/or spring: 15 weeks - 3 hours of lecture, 1 hour of discussion, and 3 hours of laboratory per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Marcus
Formerly known as: 266
Terms offered: Fall 2021, Fall 2020, Fall 2019
Designed for professionally-oriented engineering graduate students, this course explores key topics in organizational behavior, including negotiations, power and conflict.
Organizational Behavior for Engineers: Read More [+]
Rules & Requirements
Prerequisites: Admission to MEng or MTM program
Hours & Format
Fall and/or spring:
2 weeks - 6-8 hours of lecture per week
8 weeks - 1.5 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Terms offered: Fall 2022, Fall 2021, Fall 2020
Designed for professionally-oriented engineering graduate students, this course explores key topics in R&D technology management and ethics through faculty-led case analysis and discussion.
R&D Technology Management & Ethics: Read More [+]
Rules & Requirements
Prerequisites: Admission to MEng or MTM program
Hours & Format
Fall and/or spring:
2 weeks - 6-8 hours of lecture per week
8 weeks - 1.5 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Terms offered: Spring 2023, Fall 2022, Spring 2022
Designed for professionally-oriented engineering graduate students, this course applies key topics in project management and team dynamics to students concurrent capstone projects.
Teaming & Project Management: Read More [+]
Rules & Requirements
Prerequisites: Admission to MEng or MTM program
Repeat rules: Course may be repeated for credit up to a total of 1 time.
Hours & Format
Fall and/or spring:
8 weeks - 1.5 hours of lecture per week
12 weeks - 1 hour of lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Himelstein
Terms offered: Spring 2022, Spring 2021, Spring 2020
Designed for professionally-oriented engineering graduate students, this course explores key topics in entrepreneurship and entrepreneurial finance.
Entrepreneurship for Engineers: Read More [+]
Rules & Requirements
Prerequisites: Admission to MEng or MTM program
Hours & Format
Fall and/or spring:
2 weeks - 6-8 hours of lecture per week
10 weeks - 1.5-1.5 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Mason
Terms offered: Spring 2017
Designed for professionally-oriented engineering graduate students, this course explores key topics in technology strategy and industry analysis.
Technology Strategy & Industry Analysis: Read More [+]
Rules & Requirements
Prerequisites: Admission to MEng or MTM program
Hours & Format
Fall and/or spring: 2 weeks - 6-8 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Terms offered: Spring 2017
Designed for professionally-oriented engineering graduate students, this course explores key topics in data analytics.
Data Analytics: Read More [+]
Rules & Requirements
Prerequisites: Admission to MEng or MTM program
Hours & Format
Fall and/or spring: 2 weeks - 6-8 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Terms offered: Spring 2022, Spring 2021, Spring 2020
Designed for professionally-oriented engineering graduate students, this course explores key topics in marketing and product management.
Marketing & Product Management: Read More [+]
Rules & Requirements
Prerequisites: Admission to MEng or MTM program
Hours & Format
Fall and/or spring:
2 weeks - 6-8 hours of lecture per week
7 weeks - 2-2 hours of lecture per week
10 weeks - 1.5-1.5 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Terms offered: Spring 2022, Spring 2021, Spring 2020
Designed for professionally-oriented engineering graduate students, this course explores key topics in accounting and finance.
Accounting & Finance for Engineers: Read More [+]
Rules & Requirements
Prerequisites: Enrollment in MEng or MTM programs
Hours & Format
Fall and/or spring:
2 weeks - 7.5 hours of lecture per week
7 weeks - 2 hours of lecture per week
10 weeks - 1.5 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Terms offered: Spring 2022, Spring 2021, Spring 2020
Designed for MEng and MTM students, this course explores key topics using the case discussion method. We will discuss technology strategy with the following meta themes; we will open with a case that applies traditional strategy analysis, contrast the traditional framework with new conceptions of platforms and competition. We’ll come to understand traditional economies of scale and barriers to entry and contrast those with network dynamics, winner take all markets, and platform strategy. Finally, we will critique platform competition and debate how platforms and their competitive dynamics will change business and society.
Technology Strategy for Engineering Leaders: Read More [+]
Rules & Requirements
Prerequisites: Enrollment in the MEng or MTM programs
Hours & Format
Fall and/or spring:
2 weeks - 7 hours of lecture per week
7 weeks - 2-2 hours of lecture per week
10 weeks - 1.5-1.5 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Terms offered: Spring 2022, Spring 2021, Spring 2020
Designed for professionally-oriented engineering graduate students, this course explores key topics in industry analysis.
Industry Analysis for Engineering Leaders: Read More [+]
Rules & Requirements
Prerequisites: Enrollment in the MEng or MTM programs
Hours & Format
Fall and/or spring:
2 weeks - 7 hours of lecture per week
7 weeks - 2-2 hours of lecture per week
10 weeks - 1.5-1.5 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Terms offered: Prior to 2007
Designed for professionally-oriented engineering graduate students, this course applies key topics in project management and team dynamics to students concurrent capstone projects.
Coaching for High Performance Teams: Read More [+]
Rules & Requirements
Prerequisites: Open to MEng or MTM students only
Credit Restrictions: Students will receive no credit for ENGIN W270K after completing ENGIN 270K. A deficient grade in ENGIN W270K may be removed by taking ENGIN 270K.
Hours & Format
Fall and/or spring:
8 weeks - 0.25 hours of workshop and 0.25 hours of lecture per week
8 weeks - 0.25 hours of workshop and 0.25 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Beliaev
Formerly known as: Engineering W270K
Terms offered: Spring 2022, Spring 2021, Spring 2020
The objective of this course is to provide Master of Engineering and Master of Translational Medicine students with insights into the type of leadership skills required to be a successful cross-cultural leader in today's increasingly complex global marketplace.
Global Leadership Expertise: Read More [+]
Objectives & Outcomes
Course Objectives: Over the course of this intensive boot camp, students will be required to employ technical abilities and multidisciplinary analysis while examining and engaging in case studies, simulations, and in-class exercises in order to achieve some key course goals:
• Develop a global mindset
• Become more interculturally competent
• Learn to lead people from different cultures
• Understand the implications of global leadership
Student Learning Outcomes: The goal is for each student to develop a personalized global leadership "toolkit" that they will be able utilize as their professional careers unfold. There will be a specific focus on how to deploy that “toolkit” to assist with business decision making in the fiduciary context.
Rules & Requirements
Prerequisites: Enrollment in the MEng or MTM programs
Hours & Format
Fall and/or spring:
2 weeks - 7.5 hours of lecture per week
7 weeks - 2-2 hours of lecture per week
10 weeks - 1.5-1.5 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Himelstein
Terms offered: Spring 2022, Spring 2021, Spring 2020
Designed for MEng and MTM students. Over the course of the boot camp, students will gain proficiency in verbal leadership, through discussions of technology, legal and business case studies. Topics will include technology management, governance, privacy and disclosure, codes of conduct, whistleblowing, internal investigations, ethical and effective business practices in foreign countries, and ethical and effective leadership.
Professional Ethics in Technology, Law and Business: Read More [+]
Objectives & Outcomes
Course Objectives: Students will be required to employ technical and qualitative analysis while digesting and dissecting case studies, in-class projects, and guest speaker presentations. Class discussions will focus on issues raised in case studies, including analysis, brainstorming, diagnosis, and recommendations.
Student Learning Outcomes: Students will gain exposure to a wide variety of leadership approaches, technologies, personalities, and business models.
Rules & Requirements
Prerequisites: Enrollment in the MEng or MTM programs
Hours & Format
Fall and/or spring:
2 weeks - 7.5 hours of lecture per week
7 weeks - 2-2 hours of lecture per week
10 weeks - 1.5-1.5 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Professional Ethics in Technology, Law and Business: Read Less [-]
Terms offered: Spring 2022
Designed for MEng and MTM students. This 1 unit elective provides an in-depth look at the discipline and function of innovation management. The class begins by answering the questions, “What is innovation, innovation management, and how does it differ from product management”. Modules then cover setting an innovation strategy, building support structures inside firms, managing innovation pipelines and processes, and creating a holistic innovation culture. Last, students will get an in-depth look at a “day in the life” of an innovation manager and finish with a class project.
Innovation Management: Read More [+]
Hours & Format
Fall and/or spring:
2 weeks - 6.75-7.5 hours of lecture per week
10 weeks - 1.5 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Terms offered: Spring 2022
This course is designed to provide Masters of Engineering and Masters of Translational Medicine students the opportunity to develop their skills and confidence in power and influence dynamics. It can help change how you see the world and move through it. Future leaders in technology and scientific fields will learn to avoid over-reliance on rational persuasion and apply power dynamics skillfully.
Power and Persuasion for Engineering Leadership: Read More [+]
Hours & Format
Fall and/or spring:
2 weeks - 6.75-7.5 hours of lecture per week
10 weeks - 1.5 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Power and Persuasion for Engineering Leadership: Read Less [-]
Terms offered: Prior to 2007
Engineering efforts in a globalized, multicultural world require a variety of techniques to effectively lead diverse teams. This course examines Diversity, Equity, and Inclusion (DEI) goals, best practices, and strategies of today's inclusive leaders. Through professional interactions, examination of current research, and understanding the competitive advantage of DEI initiatives, students will be prepared to successfully lead in diverse engineering environments.
The Power of Diversity and Inclusion for Engineering Leaders: Read More [+]
Hours & Format
Fall and/or spring:
2 weeks - 6.75-7.5 hours of lecture per week
8 weeks - 1.5 hours of lecture per week
10 weeks - 1.5 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Yang
The Power of Diversity and Inclusion for Engineering Leaders: Read Less [-]
Terms offered: Prior to 2007
An understanding of the role of Product Manager, and the core skills and frameworks that are the basis of good product practices are important for anyone who wants to build
great products that address customer needs and drive true business value. In this highly interactive course, you'll learn about the product development lifecycle & what makes a good product manager. You'll also dig into tactics and core product skills such as building hypothesis & impactful problem statements, conducting effective user interviews, financial modeling/business case development, building a roadmap & backlog, slicing scope for iterative development, prioritization, storytelling, and user journey mapping using real world examples & hands on practice.
Product Management for Engineering Leaders: Read More [+]
Hours & Format
Fall and/or spring:
2 weeks - 6-7.5 hours of lecture per week
8 weeks - 1.5 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Wellborn
Terms offered: Not yet offered
This course gives students the opportunity to experience a full cycle of product development by developing and refining series of prototypes leading to delivering a functioning MVP (Minimally Viable Product) at the Finals. Student teams design a product that will solve real problems and start implementing series of 3 prototypes culminating with a working product MVP. Students will be introduced to professional product development processes & approaches through series of lectures, case study analysis, simulations and exercises and apply these techniques to their development approach.
Agile Product Development for Engineering Leaders: Read More [+]
Rules & Requirements
Prerequisites: Enrollment in the MEng or MTM degree programs
Hours & Format
Fall and/or spring: 15 weeks - 2 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Erbilgin
Agile Product Development for Engineering Leaders: Read Less [-]
Terms offered: Fall 2023, Fall 2022, Fall 2021
This course will explore technology-based innovation from an interdisciplinary approach that integrates technology, business, and law. An intellectual property approach will be applied to emphasize the relationship among technology, market, and control positions required to analyze and develop intellectual property based business models. The course will contain a significant collaborative project that will require application of course concepts, through development and recommendation of a commercialization strategy for various external collaborators.
Intellectual Property and Innovation: Analysis, Strategy, and Management: Read More [+]
Objectives & Outcomes
Course Objectives: Fifth, a core set of models for the strategic management of intellectual property for both small and large firms will be delivered through exercises on real commercial scenarios, finishing with the identification and calculation of the value of technology/IP that is required for effective decision making in complex settings.
First, the course will start with a discussion of the fundamentals of IP and innovation, in particular, the transformation from an industrial to a knowledge-based economy with new resources and business models.
Fourth, tools to identify and develop potential value propositions and business models will be presented and applied to the previous analysis on the competitive position, in particular, models for technology licensing will be explored.
Second, a framework will be presented and applied for identifying and analyzing the key technology and IP assets that make up the foundational building blocks of an innovation.
Third, techniques for mapping and analyzing competitive technology positions, market positions, and patent-based control positions will be presented and applied.
Student Learning Outcomes: Students will understand the theory of intellectual property, control, and business strategy. They will have practiced with a toolset that assesses a firm’s intellectual property and its strategic position.
Hours & Format
Fall and/or spring: 15 weeks - 3 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Intellectual Property and Innovation: Analysis, Strategy, and Management: Read Less [-]
Terms offered: Spring 2024, Spring 2023, Spring 2022
This course will explore the path from creative breakthroughs in science and technology through their (typically and unfortunately rare) successful impact on society. We will first explore models of creativity in science and engineering, managing the technical professional, and the differences between academic and industrial research. We will then discuss the pitfalls of technology push and academic research transfer, review the basics of Intellectual Property strategy, compare licensing vs. entrepreneurship strategies, discuss incubators and how investors think about entrepreneurial opportunities, and explore a range of possible business models.
Commercializing Science and Technology Breakthroughs: Read More [+]
Objectives & Outcomes
Course Objectives: The course will contain a significant hands-on and collaborative project that will require application of course concepts, through development and recommendation of a commercialization strategy for a UC Berkeley, Berkeley National Labs, or Xerox PARC breakthrough. Students can also supply or identify a science or technology breakthrough for their project (subject to instructor approval).
We will discuss entrepreneurship in the modern platform economy, in particular, how to bypass incumbent barriers to entry, overturn winner-take-all markets, and compete with technological breakthroughs. We will close with consideration of entrepreneurial ethics and how to work with institutional and regulatory stakeholders.
Student Learning Outcomes: Students will understand the theory of how scientific and technological breakthroughs occur and how those breakthroughs are developed and impact society and the economy. They will have analyzed a real breakthrough and provided recommendations on how it can best be commercialized.
Hours & Format
Fall and/or spring: 15 weeks - 3 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Commercializing Science and Technology Breakthroughs: Read Less [-]
Terms offered: Prior to 2007
Introduction to the physical principles underlying the electronic properties of solids from macroscopic to nano dimensions. General solid state physics will be taught in the context of technological applications, including the structure of solids, behavior of electrons and atomic vibration in periodic lattice, and interaction of light with solids. Emphasis will be on semiconductors and the materials physics of electronic and optoelectronic devices.
Electronic Properties of Materials: Read More [+]
Objectives & Outcomes
Course Objectives:
Students will gain a fundamental understanding of the following topics: i) electrical conduction
(transport) in solids based on quantum mechanics and modern band theory, ii) lattice vibration
and thermal conduction (transport) in solids, iii) major properties of bulk and nanostructured
semiconductors, iv) effects of dopant impurities and defects in semiconductors, and v) the
principles of light-solid interactions.
Rules & Requirements
Prerequisites: Undergraduate degree in a STEM field
Hours & Format
Fall and/or spring: 5 weeks - 2.6 hours of web-based lecture and 1 hour of web-based discussion per week
Summer: 5 weeks - 2.6 hours of web-based lecture and 1 hour of web-based discussion per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Wu
Terms offered: Prior to 2007
This course focuses on the fundamentals of photovoltaic energy conversion with respect to the physical principles of operation and design of efficient semiconductor solar cell devices. This course aims to equip students with the concepts and analytical skills necessary to assess the utility and viability of various modern photovoltaic technologies in the context of a growing global renewable energy market.
Photovoltaic Materials: Read More [+]
Objectives & Outcomes
Course Objectives: The main goal of this course is to provide an overview of the fundamentals of photovoltaic energy conversion with respect to the physical principles of operation and design of efficient semiconductor solar cell devices.
Student Learning Outcomes: Students will learn the concepts and analytical skills necessary to assess the utility and viability of various modern photovoltaic technologies in the context of a growing global renewable energy market.
Rules & Requirements
Prerequisites: Students should have a background in chemistry, physics, and mathematics, including what is covered in UC Berkeley’s Chem 1A, Physics 7A, Physics 7B, Physics 7C, and Math 53 or their equivalents
Hours & Format
Fall and/or spring: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Summer: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructors: Balushi, Sherburne
Terms offered: Not yet offered
This course covers the materials science and processing of thin film coatings that incorporates fundamental knowledge of materials transport, accumulation, defects and epitaxy. Through this course, an understanding of the fundamental physical and chemical processes which are involved in crystal growth and thin film fabrication will be gained. Important synthesis and processing techniques used for the fabrication of electronic and photonic devices will be discussed. Finally, this course will provide an understanding of how material characteristics are influenced by processing and deposition conditions. This course is designed to directly address current challenges and future needs of the semiconductor and coating industries.
Development of Modern Materials for the Microelectronics Industry: Read More [+]
Objectives & Outcomes
Course Objectives: The main goal of this course is to provide an overview of the materials science and processing of thin film coatings that incorporates fundamental knowledge of materials transport, accumulation, defects and epitaxy. This course is designed to directly address current challenges and future needs of the semiconductor and coating industries.
Student Learning Outcomes: Through this course students will gain an understanding of the fundamental physical and chemical processes which are involved in crystal growth and thin film fabrication.
Rules & Requirements
Prerequisites: Undergraduate degree in engineering, physics or chemistry. Physics 7A & 7B or equivalent recommended
Hours & Format
Fall and/or spring: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Summer: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructors: Balushi, Sherburne
Development of Modern Materials for the Microelectronics Industry: Read Less [-]
Terms offered: Not yet offered
This is an introduction to non-relativistic quantum physics. General quantum mechanics will be taught in the context of technological relevance, including the brief history and introduction to quantum mechanics, the Schrodinger equation and its solution in one and three dimensions, the formalism of quantum mechanics, and the perturbation theory. Connections to basic atomic, laser and materials physics will be highlighted.
The course will prepare students with the basics of quantum physics for entering the emerging field of quantum computation, quantum communications and other quantum information science and technologies.
Quantum Physics for Semiconductor Engineers: Read More [+]
Objectives & Outcomes
Course Objectives: Course objectives are to equip students with a fundamental understanding of the following topics: i) basic concepts of quantum physics, ii) Schrodinger equation solutions to simple
quantum systems, iii) notations and language of quantum mechanics, and iv) perturbation theory and quantum transitions.
Student Learning Outcomes: Students will be able to establish and solve Schrodinger equation in simple quantum systems in one dimension and higher dimensions.
Students will be able to use perturbation theory to describe quantum effects such as optical quantum transitions.
Students will be familiar with basic concepts of quantum physics, such as wavefunctions, eigen-states and eigen energies.
Students will understand the notations and language of quantum mechanics, including operators, the Dirac brackets and the Hilbert space.
Rules & Requirements
Prerequisites: Undergraduate degree in a STEM field; knowing basic, college-level physics (Physics 7A & 7B) and mathematics (Math 53 & 54)
Hours & Format
Fall and/or spring: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Summer: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Junqiao Wu
Terms offered: Prior to 2007
This course is designed to give an introduction, and overview of, the techniques used in fabrication of electronic devices. Topics such as materials deposition, patterning, laboratory safety and best practices will be covered. The students will learn basic processes used in the fabrication of silicon-based devices and novel semiconducting materials. After covering the fundamental processes and technologies needed to form an electronic device, the fabrication flow of NMOS devices will be studied in detail.
Techniques for Electronic Devices Fabrication: Read More [+]
Objectives & Outcomes
Course Objectives: The objective of this course is to provide the student with a fundamental understanding of the basic techniques used for deposition, patterning and integration of electronic materials for the purpose of forming a functional electronic device. By the end of the course, students will be able to design a device and propose a fabrication and process flow.
Rules & Requirements
Prerequisites: Undergraduate degree in a STEM field. Skills needed are basic physics and math skills. Recommended prerequisite courses from Berkeley: EE16A,B or Math 53 and Physics 7B
Hours & Format
Fall and/or spring: 5 weeks - 2.6 hours of web-based lecture and 1 hour of web-based discussion per week
Summer: 5 weeks - 2.6 hours of web-based lecture and 1 hour of web-based discussion per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Arias
Techniques for Electronic Devices Fabrication: Read Less [-]
Terms offered: Spring 2024, Spring 2022, Spring 2020, Fall 2015, Fall 2013, Fall 2011
Topics in this course will include the latest technology of various types of ion and electron sources, extraction and formation of charge particle beams, computer simulation of beam propagation, diagnostics of ion sources and beams, and the applications of beams in fusion, synchrotron light source, neutron generation, microelectronics, lithography, and medical therapy. This is a general accelerator technology and engineering course that will be of interest to graduate students in physics, electrical engineering, and nuclear engineering.
Charged Particle Sources and Beam Technology: Read More [+]
Hours & Format
Fall and/or spring: 15 weeks - 3 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructors: Leung, Steier
Also listed as: NUC ENG C282
Terms offered: Fall 2024, Summer 2024 First 6 Week Session, Summer 2024 Second 6 Week Session
This course will explore various topics around technology innovation and entrepreneurship. Topics will vary by semester.
Special Topics in Technology Innovation and Entrepreneurship: Read More [+]
Rules & Requirements
Repeat rules: Course may be repeated for credit without restriction. Students may enroll in multiple sections of this course within the same semester.
Hours & Format
Fall and/or spring: 15 weeks - 1-4 hours of seminar per week
Summer:
6 weeks - 2.5-10 hours of seminar per week
8 weeks - 1.5-7.5 hours of seminar per week
10 weeks - 1.5-6 hours of seminar per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Special Topics in Technology Innovation and Entrepreneurship: Read Less [-]
Terms offered: Fall 2024, Spring 2024, Fall 2023
This lecture series serves as an entry point for undergraduate and graduate curriculum sequences in entrepreneurship and innovation. The series, established in 2005 is named in honor of A. Richard Newton, a visionary technology industry leader and late dean of the University of California-Berkeley College of Engineering. The course features a selection of high-level industry speakers who share their insights on industry developments, leadership and innovation based on their careers.
A. Richard Newton Lecture Series: Read More [+]
Rules & Requirements
Repeat rules: Course may be repeated for credit without restriction.
Hours & Format
Fall and/or spring: 15 weeks - 1.5 hours of colloquium per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Offered for satisfactory/unsatisfactory grade only.
Instructor: Sidhu
Formerly known as: Industrial Engin and Oper Research 295
Terms offered: Spring 2012, Fall 2011, Spring 2011
Specific topics, hours and units of credit will vary from section to section, year to year. Courses are related classes in the Management of Technology certificate program.
Special Topics in Management of Technology: Read More [+]
Rules & Requirements
Prerequisites: Graduate standing
Repeat rules: Course may be repeated for credit when topic changes.
Hours & Format
Fall and/or spring: 15 weeks - 2-3 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Terms offered: Spring 2012, Spring 2011, Spring 2010
This course is designed to give students a broad overview of the main topics encompassed by management of technology. It includes the full chain of innovative activities beginning with research and development and extending through production and marketing. Why do many existing firms fail to incorporate new technology in a timely manner? At each stage of innovation, we examine key factors determining successful management of technology. What constitutes a successful technology strategy? The integrating course focus will be on the emergence of the knowledge economy and technology as a key knowledge asset and will involve both general readings and cases. The course also introduces students to Haas and COE faculty working in the relevant areas.
Introduction to Management of Technology: Read More [+]
Hours & Format
Fall and/or spring: 15 weeks - 3 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Proctor
Terms offered: Fall 2011, Fall 2010, Fall 2009
This course is designed to examine the strategic issues that confront the management of the development stage biotech company, i.e., after its start-up via an initial capital infusion, but before it might be deemed successful (e.g., by virtue of a product launch), or otherwise has achieved "first-tier" status. Thus, the intention is to study the biotech organization during the process of it growth and maturation from an early stage existence through "adolescence" into an "adult" company. The focus of the class will be on business development, i.e., the deal making that must occur to accomplish the corporate objectives of bringing in new technologies and getting the initial products to market. We will explore the critical deal issues from both the perspective of the development stage company and the viewpoint of the larger, more mature biotech or big pharma company with which it seeks to partner.
Biotechnology: Industry Perspectives and Business Development: Read More [+]
Rules & Requirements
Credit Restrictions: Students will receive no credit for 290E after taking Master of Business Administration 290B or Evening Weekend Master of Business Administration 290B.
Hours & Format
Fall and/or spring: 15 weeks - 2 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructors: Hoover, Sanders
Biotechnology: Industry Perspectives and Business Development: Read Less [-]
Terms offered: Fall 2011, Fall 2010
The primary goal of this course is to develop in the student the marketing skills needed to compete aggressively as an entrepreneur in technology fields. Upon completion of the course, the student should have developed the following skills: the ability to assess and predict customer needs in markets that may not yet exist; the ability to create and execute marketing plans that necessarily integrate sophisticated technological development with rapidly evolving customer requirements; the ability to create and grow a focused marketing organization rapidly and efficiently; and the ability to create and use marketing communications to reach prospects, customers, OEMs, and sales channels efficiently and inexpensively.
Marketing Emerging Technologies: Read More [+]
Rules & Requirements
Credit Restrictions: Students will receive no credit for 290E after taking Master of Business Administration 290E.
Hours & Format
Fall and/or spring: 15 weeks - 3 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Isaacs
Terms offered: Prior to 2007
This course seeks to make sense of, inter alia, the decline and prospective recovery of U.S. high-technology industries, the evolution of innovation and technology strategies and policies in Western Europe and Asia, the historic and current roles of governments in shaping markets for high-technology goods, and the impact on business strategies of recent developments in early-stage capital markets. Our general approach views technological innovation and competition as dynamic processes that reflect previous choices made by firms and governments. Modern technologies develop in markets that are international scope, often imperfectly competitive, and subject to influence by a variety of economic and political stakeholders. We will use an eclectic mix of theoretical, historical, and practical perspectives throughout the course in examining these issues, although no special familarity with any of these is assumed. From time to time, we will be joined by venture capitalists, corporate executives, and technologists engaged in global high-technology markets for discussion of these issues.
International Trade and Competition in High Technology: Read More [+]
Rules & Requirements
Credit Restrictions: Students will receive no credit for 290G after taking Master of Business Administration 290G.
Hours & Format
Fall and/or spring: 15 weeks - 2 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Wu
International Trade and Competition in High Technology: Read Less [-]
Terms offered: Fall 2009
This course prepares students to found a startup business in China or to work with an MNC in China, develops their critical analysis and strategic decision tools and skills needed to compete in the world's most dynamic emerging market, and provides access and useful introductions/Guanxi to aid future business development in China.
Management of Technology - Doing Business in China: Read More [+]
Rules & Requirements
Credit Restrictions: Students will receive no credit for 290H after taking Master of Business Administration 290H.
Hours & Format
Fall and/or spring: 15 weeks - 2 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Sanderson
Management of Technology - Doing Business in China: Read Less [-]
Terms offered: Spring 2012, Spring 2011, Spring 2010
This course will provide students an introduction to the complexities and unique problems of starting a life sciences company. It is designed for both entrepreneurs and students who may someday work in a biotechnology or medical device startup. Students will be exposed to the topics most critical for successfully founding, financing, and operating a life science company, and will be expected to perform many of the same tasks that founders would normally undertake. Discussions with life-science entrepreneurs, case studies of recent companies, and hands-on work developing entrepreneurial endeavors will all be utilized.
Entrepreneurship in Biotechnology: Read More [+]
Hours & Format
Fall and/or spring: 15 weeks - 2 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Lasky
Terms offered: Spring 2012, Fall 2011, Spring 2011
This course is intended to provide the core skills needed for the identification of opportunities that can lead to successful, entrepreneurial high technology ventures, regardless of the individual's "home" skill set, whether technical or managerial. We examine in depth the approaches most likely to succeed for entrepreneurial companies as a function of markets and technologies. Emphasis is placed on the special requirements for creating and executing strategy in a setting of rapid technological change and limited resources. This course is open to both MBA and Engineering students (who enroll through the College of Engineering), and is particularly suited for those who anticipate founding or operating technology companies.
Opportunity Recognition: Technology and Entrepreneurship in Silicon Valley: Read More [+]
Hours & Format
Fall and/or spring: 15 weeks - 3 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Opportunity Recognition: Technology and Entrepreneurship in Silicon Valley: Read Less [-]
Terms offered: Spring 2012, Spring 2011, Spring 2010
This course will provide you with a comprehensive view of the elements of modern project management, guidelines for success, and related tools. In organizations today, successful operations keep the organization alive and successful projects move it towards strategic objectives. A project is a one-time or infrequently occurring operation with a unique goal, limited lifespan, and limited resources. The fundamental concepts come from the field of operations management, but projects present special types of operations because of their intended focus, limited lives, constraints, and uncertainties. In organizations today, projects are many, diverse, and frequently overlapping.
Project Management: Read More [+]
Hours & Format
Fall and/or spring: 15 weeks - 2 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Terms offered: Fall 2011, Fall 2010, Fall 2009
This course involves the flows of materials and information among all of the firms that contribute value to a product, from the source of raw materials to end customers. Elements of supply chain management have been studied and practiced for some time in marketing, logtistics, and operations management. We will attempt to integrate these different perspectives to develop a broad understanding of how to manage a supply change. This course will focus on effective supply chain strategies for companies that operate globally with emphasis on how to plan and integrate supply chain components into a coordinated system. You will be exposed to concepts and models important in supply chain planning with emphasis on key trade offs and phenomena. The course will introduce and utilize key tactics such as risk pooling and inventory placement, integrated planning and collaboration, and information sharing. Lectures, Internet simulations, computer exercises, and case discussions introduce various models and methods for supply chain analysis and optimization.
Supply Chain Management: Read More [+]
Rules & Requirements
Credit Restrictions: Students will receive no credit for 290S after taking Master of Business Administration 248A or Evening Weekend Master of Business Administration 248A.
Hours & Format
Fall and/or spring: 15 weeks - 3 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Angelus
Terms offered: Fall 1996
Positive leadership is the science and application of the leader’s character strengths and subjective experiences to create a personal leadership style that supports employee engagement, productivity, innovation, organizational citizenship, and a culture of well-being. Many Silicon Valley companies already actively promote the creation of a culture of well-being. The course is divided into three sections, (I) gaining insight into one’s individual psychological operating system, (II) positive psychology as a foundation for leadership development, and (III) positive leadership application strategies. The course will conclude with the development of a personal leadership plan.
Positive Leadership for Engineers: Read More [+]
Objectives & Outcomes
Course Objectives: (I)
gaining insight into one’s individual psychological operating system, (II) positive psychology as a foundation for leadership development (III) positive leadership application strategies.
Student Learning Outcomes: Develop a 5-year personal leadership plan that draws upon identified strengths and various theories to guide students toward becoming successful leaders.
Explore how empathy, gratitude, positive emotions, job crafting, meaning in work, forgiveness, and character strengths can be used to connect better to teammates, followers, and stakeholders.
Understand how the science and application of Positive Psychology and Positive Leadership Theory can help leaders motivate employees and create a culture of wellbeing.
•
Examine how our subjective experiences and crucibles shape how we engage, interact, and respond to others.
Rules & Requirements
Prerequisites: Undergraduate degree in a STEM field. Otherwise, there are no prerequisites for the course
Credit Restrictions: Students will receive no credit for ENGIN 291B after completing ENGIN 291B. A deficient grade in ENGIN 291B may be removed by taking ENGIN 291B.
Hours & Format
Fall and/or spring: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Summer: 5 weeks - 1 hour of lecture and 2.6 hours of discussion per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructors: Sherburne, Gatto
Terms offered: Spring 2024, Spring 2023, Fall 2022
Engineering leadership principles integrated with concurrent technical capstone projects for Master of Engineering students. Students enroll in this supplementary course while they are enrolled in Engineering 296M, Capstone project, with their technical department capstone advisor. This project-based course will apply communication skills to the capstone project with a focus on presentations and writing in a professional context.
Communications for Engineering Leaders: Read More [+]
Rules & Requirements
Prerequisites: Admission to MEng program or College of Engineering PhD program
Repeat rules: Course may be repeated for credit up to a total of 2 times.
Hours & Format
Fall and/or spring:
2 weeks - 8 hours of lecture per week
7 weeks - 2 hours of lecture per week
8 weeks - 2 hours of lecture per week
10 weeks - 1.5 hours of lecture per week
15 weeks - 1 hour of lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructors: Bauer, Fitzpatrick, Halpern, Houlihan
Terms offered: Prior to 2007
Professional communications for Master of Engineering students. The course has two objectives: to develop and/or hone your individual communication skills, as you generate content supporting your career development [fall] and to further your individual and team-based communication skills, as your team generates content for your capstone reporting deliverables [spring].
Communications for Engineering Leaders: Read More [+]
Rules & Requirements
Prerequisites: Restricted to Master of Engineering degree students
Hours & Format
Fall and/or spring: 10 weeks - 0.5 hours of web-based lecture and 0.5 hours of tutorial per week
Online: This is an online course.
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Beliaev
Terms offered: Prior to 2007
Professional communications for Master of Engineering students. The course has two objectives: to develop and/or hone your individual communication skills, as you generate content supporting your career development [fall] and to further your individual and team-based communication skills, as your team generates content for your capstone reporting deliverables [spring].
Communications for Engineering Leaders: Read More [+]
Rules & Requirements
Prerequisites: Restricted to Master of Engineering degree students
Hours & Format
Fall and/or spring: 10 weeks - 0.4 hours of web-based lecture and 0.7 hours of workshop per week
Online: This is an online course.
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Beliaev
Terms offered: Fall 2021, Fall 2019, Fall 2018
This course is the first of a sequence of two capstone project courses for candidates of the Masters of Engineering degree. Students engage in professionally oriented independent or group research or study under the supervision of a research advisor. The research and study synthesizes the technical, environmental, economic, and social issues involved in the design and operation of complex engineering devices, systems, and organization.
Master of Engineering Capstone Project: Read More [+]
Rules & Requirements
Prerequisites: Acceptance into the Master of Engineering program
Repeat rules: Course may be repeated for credit without restriction. Students may enroll in multiple sections of this course within the same semester.
Hours & Format
Fall and/or spring: 15 weeks - 1-12 hours of seminar per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade. This is part one of a year long series course. A provisional grade of IP (in progress) will be applied and later replaced with the final grade after completing part two of the series.
Terms offered: Spring 2023, Spring 2022, Spring 2019
This course is the second of a sequence of two capstone project courses for candidates of the Masters of Engineering degree. Students engage in professionally oriented independent or group research or study under the supervision of a research advisor. The research and study synthesizes the technical, environmental, economic, and social issues involved in the design and operation of complex engineering devices, systems, and organizations.
Master of Engineering Capstone Project: Read More [+]
Rules & Requirements
Prerequisites: ENGIN 296MA
Hours & Format
Fall and/or spring: 15 weeks - 1-5 hours of seminar per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade. This is part two of a year long series course. Upon completion, the final grade will be applied to both parts of the series.
Terms offered: Not yet offered
This course is a Capstone Project class for candidates of the Master of Advanced Study in Engineering (MAS-E) degree. Students engage in a professionally-oriented independent research or study, under the supervision of a research advisor, with the goal of synthesizing the technical, environmental, economic, and social issues involved in the design and operation of complex engineering devices, systems, and organizations. Students will develop and demonstrate these synthesis skills through their engagement in a capstone project.
Capstone Project: Read More [+]
Objectives & Outcomes
Course Objectives: To engage students in a professionally-oriented independent research or study to integrate the technical dimensions of the Master of Advanced Study in Engineering.
Rules & Requirements
Prerequisites: Acceptance into the Master of Advanced Study in Engineering (MAS-E) program
Hours & Format
Fall and/or spring: 15 weeks - 6 hours of independent study per week
Summer: 12 weeks - 7.5 hours of independent study per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Zohdi
Terms offered: Spring 2021
This course provides the framework for leadership development. The class focuses on development of self and emotional intelligence; identification of core values, creation of purpose statements; growth mind-set; ethical decision-making; inspiration of others, conflict resolution, goal setting and teamwork; global and cultural awareness; and development of plans of action. Weekly introspective reflections are required. The class comprises three parts: (I) Exploration of your leadership journey; (II) Discovery of your Personal Leadership Style; and (III) Development of a Personal Leadership Plan.
Introspective Leadership: Read More [+]
Objectives & Outcomes
Course Objectives: This course offers the requisite framework for personal leadership development. The course provides students with requisite skills for authentic leadership, self-discovery, team work, global awareness, ethical decision-making, service to society and creation of personal leadership plans.
Student Learning Outcomes: Students will learn how to assess personal strengths, identify core values requisite for ethical decision-making, ascertain skills to inspire others and navigate difficult conversations, enhance cultural awareness, implement plans of action and develop purpose statements.
Rules & Requirements
Credit Restrictions: Students will receive no credit for ENGIN 297 after completing ENGIN 297. A deficient grade in ENGIN 297 may be removed by taking ENGIN 297.
Hours & Format
Fall and/or spring: 15 weeks - 2 hours of lecture per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Instructor: Pruitt
Terms offered: Spring 2024, Spring 2023, Spring 2022
This lecture series serves as an inspirational supplement to Master of Engineering graduate curriculum in leadership and innovation. The course features insightful conversations with high-level industry speakers who share their experience with engineering leadership and innovation. Speakers draw from Silicon Valley leadership, Fung Institute capstone project partners and advisory board, MEng Alumni featured in Forbes 30 under 30 and Inc’s Top 50 Young Entrepreneur’s to watch.
Fung Institute Engineering Leadership Speaker Series: Read More [+]
Rules & Requirements
Prerequisites: Enrollment in the Master of Engineering program
Repeat rules: Course may be repeated for credit without restriction.
Hours & Format
Fall and/or spring: 15 weeks - 1.5 hours of colloquium per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Offered for satisfactory/unsatisfactory grade only.
Fung Institute Engineering Leadership Speaker Series: Read Less [-]
Terms offered: Fall 2015, Fall 2014, Fall 2013
Advanced group studies or seminars in subjects which are interdisciplinary in the various fields of engineering or other sciences associated with engineering problems. Topics which form the basis of seminars will be announced at the beginning of each semester.
Group Studies or Seminars: Read More [+]
Rules & Requirements
Repeat rules: Course may be repeated for credit without restriction.
Hours & Format
Fall and/or spring: 15 weeks - 1-6 hours of seminar per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Letter grade.
Terms offered: Spring 2016, Fall 2015, Spring 2015
Advanced group studies or seminars in subjects which are interdisciplinary in the various fields or engineering or other sciences associated with engineering problems. Topics which form the basis of seminars will be announced at the beginning of each semester.
Group Studies or Seminars: Read More [+]
Rules & Requirements
Repeat rules: Course may be repeated for credit without restriction.
Hours & Format
Fall and/or spring: 15 weeks - 0 hours of seminar per week
Additional Details
Subject/Course Level: Engineering/Graduate
Grading: Offered for satisfactory/unsatisfactory grade only.