Spring 2021
INDENG 265 001 - LEC 001
Learning and Optimization
Anil Jayanti Aswani
Jan 19, 2021 - May 07, 2021
Tu, Th
02:00 pm - 03:29 pm
Internet/Online
Class #:28426
Units: 3
Instruction Mode:
Pending Review
Offered through
Industrial Engineering and Operations Research
Current Enrollment
Total Open Seats:
24
Enrolled: 36
Waitlisted: 0
Capacity: 60
Waitlist Max: 10
Open Reserved Seats:
7 unreserved seats
17 reserved for Industrial Engineering and Operations Research: Master of Science, Master of Engineering, and PhD Students
Hours & Workload
3 hours of instructor presentation of course materials per week, and 6 hours of outside work hours per week.
Other classes by Anil Jayanti Aswani
Course Catalog Description
This course will cover topics related to the interplay between optimization and statistical learning. The first part of the course will cover statistical modeling procedures that can be defined as the minimizer of a suitable optimization problem. The second part of the course will discuss the formulation and numerical implementation of learning-based model predictive control (LBMPC), which is a method for robust adaptive optimization that can use machine learning to provide the adaptation. The last part of the course will deal with inverse decision-making problems, which are problems where an agent's decisions are observed and used to infer properties about the agent.
Rules & Requirements
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
Open Reserved Seats:
7 unreserved seats
17 reserved for Industrial Engineering and Operations Research: Master of Science, Master of Engineering, and PhD Students
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