Spring 2024
CIVENG 291D 001 - LEC 001
Data-driven Control Methods for Civil Engineering
Maria Laura Delle Monache
Class #:32833
Units:3
Instruction Mode:
In-Person Instruction
Offered through
Civil and Environmental Engineering
Current Enrollment
Total Open Seats:
10
Enrolled: 50
Waitlisted: 0
Capacity: 60
Waitlist Max: 10
No Reserved Seats
Hours & Workload
3 hours of instructor presentation of course materials, and 6 hours of outside work hours.
Other classes by Maria Laura Delle Monache
Course Catalog Description
Introduction to current areas of research at the intersection of machine learning and control with application to civil systems. Investigations of
machine learning and data-driven algorithms that interact with the physical world. Topics of study will include learning models of dynamical systems, using these models to represent civil systems, and machine learning techniques to manage and control civil applications spanning from energy systems to water networks, to transportation and supply chains. The course will introduce students to methods to either infer dynamics from data with the goal of using classical control algorithms or develop model-free control strategies starting from data.
Rules & Requirements
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
No Reserved Seats
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials
Associated Sections
None