UCSD CSE150 Winter 2018
Introduction to AI: Search and Reasoning
Lecture Location: Ledden Auditorium
Lecture Time: Tue/Thu 6:30pm to 7:50pm
Discussion Session: Solis Hall 107, Mon 8pm to 8:50pm (starting from Week 2)
Lecturer: Sicun Gao
TAs: Simran Kapur, Saksham Sharma, Nivetha Thiruverahan
Tutors: Priyanka Kulshreshtha, Carl Tan
Slack: [click to join] (all materials distributed here)
Schedule
The course will cover the following topics; detailed schedule is on Google calendar.
- Classical search (Assignment: A*)
- Adversarial Search (Assignment: 2048)
- Monte Carlo Tree Search (Assignment: Gomoku)
- Reinforcement Learning (Assignment: Pacman)
- Constraint Solving (Assignment: Sudoku)
- SAT Solving (Assignment: Simple SAT solver)
Textbook
Lecture materials are self-contained. Reading "Artificial Intelligence: A Modern Approach" is helpful.
Grading
Assignments (all in Python, all for individuals): 72 (12 * 6)
Midterm: 12
Final: 30
Extra project (optional): 15
(A+: 100+, A: 90+, B: 80+, C: 70+; will not curve)
