Spring 2024
INDENG 142B 1 - LEC 1
Machine Learning and Data Analytics II
Paul Grigas
Class #:34037
Units: 4
Instruction Mode:
In-Person Instruction
Offered through
Industrial Engineering and Operations Research
Current Enrollment
Total Open Seats:
-2
Enrolled: 19
Waitlisted: 0
Capacity: 17
Waitlist Max: 2
Open Reserved Seats:
5 reserved for Operations Research and Management Science Majors with 7 or more Terms in Attendance
Hours & Workload
3 hours of instructor presentation of course materials per week, 8 hours of outside work hours per week, and 1 hours of the exchange of opinions or questions on course material per week.
Other classes by Paul Grigas
Course Catalog Description
Following IEOR 142A/242A, this course further introduces students to essential
methodologies and recent trends in machine learning and data analytics. The
course will bridge theoretical foundations with applied data analytics by using
examples and real datasets from domains such as e-commerce, social media, finance,
and more. Students will gain experience with various data analytics packages in
Python and will deliver a comprehensive team project. Topics include: deep
learning, time series and survival analysis, end-to-end learning, causal inference,
reinforcement learning, and ethics, fairness and safety in artificial intelligence.
Rules & Requirements
Credit Restrictions
Students will receive no credit for IND ENG 142B after completing IND ENG 242B.
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
Open Reserved Seats:
5 reserved for Operations Research and Management Science Majors with 7 or more Terms in Attendance
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials