2022 Fall
COMPSCI 188 001 - LEC 001
Introduction to Artificial Intelligence
Peyrin Kao, Igor Mordatch
Class #:27633
Units: 4
Instruction Mode:
In-Person Instruction
Time Conflict Enrollment Allowed
Offered through
Electrical Engineering and Computer Sciences
Current Enrollment
Total Open Seats:
88
Enrolled: 591
Waitlisted: 0
Capacity: 679
Waitlist Max: 300
Open Reserved Seats:
75 unreserved seats
13 reserved for Undergraduate Data Science Majors
Hours & Workload
1 hours of the exchange of opinions or questions on course material per week, 3 hours of instructor presentation of course materials per week, and 8 hours of outside work hours per week.
Final Exam
THU, DECEMBER 15TH
11:30 am - 02:30 pm
Valley Life Sciences 2040
Evans 6
Evans 2
Evans 75
Evans 71
Evans 81
Evans 72
Evans 55
RSF Fieldhouse
Valley Life Sciences 2060
Other classes by Peyrin Kao
Course Catalog Description
Ideas and techniques underlying the design of intelligent computer systems. Topics include search, game playing, knowledge representation, inference, planning, reasoning under uncertainty, machine learning, robotics, perception, and language understanding.
Class Notes
* Time conflicts ARE allowed for this class.
* EECS/EIS/LSCS minors are allowed to enroll in this class.
* Data Science majors are allowed to enroll in this class.
* Questions? Please email: cs188@berkeley.edu
* EECS/EIS/LSCS minors are allowed to enroll in this class.
* Data Science majors are allowed to enroll in this class.
* Questions? Please email: cs188@berkeley.edu
Rules & Requirements
Requisites
- Undergraduate Students: College of Engineering declared majors or L&S Computer Science or Data Science BA or EIS/EECS/LSCS Minors
Repeat Rules
Course is not repeatable for credit.
Requirements class fulfills
Meets Physical Science, L&S Breadth
Reserved Seats
Current Enrollment
Open Reserved Seats:
75 unreserved seats
13 reserved for Undergraduate Data Science Majors
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials