Courses

SYS CORE COURSE LIST

Typical Fall offerings

Typical Spring offerings

• CE 262: Analysis of Transportation Data (1)
• CE 263H Human Mobility and Network Science
• CE 290I: Civil Systems: Control and Information Management
• CE278: Infrastructure Sensing and Modeling
• CE 294 Disaster Risk Analysis of Infrastructure Systems

• CE 295: Data Science for Energy
• CE 291D: Data-driven Control Methods for Civil Systems
• CE 222: Finite Element Methods
• CE 200B: Numerical Methods for Environmental Flow Modeling
• CE 293 Uncertainty Quantification for Engineering
• CE 290 Intelligent Urban Systems: Games, Uncertainty, and Learning
• CE 191: CEE Systems Analysis (not MEng)

RECOMMENDED ELECTIVES

Note: Check classes.berkeley.edu to determine if they are offered this Academic Year and in which semester

Civil & Environmental Engineering

• CE 110 Water Systems of the future
• CE 112 Water and Wastewater Systems Design and Operation
• CE 186 - Design of Internet of things for smart cities
• CE 193: Engineering Risk Analysis
• CE 200A Environmental Fluid Mechanics
• CE 200B Numerical Methods for Environmental Flow Modeling
• CE 206 Water Resources Management
• CE 220 Structural Analysis Theory & Applications
• CE 221 Nonlinear Structural Analysis
• CE 225 Dynamics of Structures
• CE 259 Public Transportation
• CE 260 Air Transportation
• CE 252: Systems Analysis in Transportation
• CE 255: Highway Traffic Operations
• CE 261 Transportation Infrastructure Management 

Computer Science

• CS/Data 100 – Principles & Techniques of Data Science
• CS 289A – Introduction to Machine Learning
• CS 194-5 - Internet of Everyday Things
• CS 294-112 – Reinforcement Learning

Electrical Engineering

• EE 127A/227A – Optimization Models in Engineering
• EE 227BT – Convex Optimization
• EE C220A Advanced Control Systems I
• EE 221A – Linear Systems Theory
• EE 222 – Nonlinear Systems

Data Science

• CS/Data 100 – Principles & Techniques of Data Science
• Stat 140 – Probability for Data Science
• INFO 288 – Big Data and Development
• INDENG 262A –Mathematical Programming
• IEOR 135 – Applied Data Science w/ Venture Applications
• IEOR 142 – Intro to Machine Learning & Data Analytics
• IEOR 165 – Engineering Statistics, Quality Control, and Forecasting
• IEOR 242 – Applications in Data Analysis

Note 1: You need 12 course units in CEE at the graduate level needed to graduate

Note 2: MEng students are also required to take the Business Leadership courses facilitated by the Fung Institute. Consequently, MEng students may not be able to fit elective courses into their schedules.

Note 3:  Courses numbered less than 100 cannot count towards your degree. (Data 8, CE 88, etc.)