Information
| Day | Item | Time | Location |
|---|---|---|---|
| Tuesday | Lise's office hours | 2:00-4:00pm | E2-341B |
| Tuesday | Class | 5:20-6:55pm | Merrill Acad, 102 |
| Wednesday | Office Hours (Dhawal) | 3:00-5:00pm | E2-553 |
| Thursday | Office Hours (Dhawal) | 12:30-2:30pm | E2-553 |
| Thursday | Office Hours (Varun) | 3:00-5:00pm | E2-553 |
| Thursday | Class | 5:20-6:55pm | Merrill Acad, 102 |
| Friday | Office Hours (Varun) | 3:00-5:00pm | E2-553 |
- Schedule: Tu & Thu, 5:20 pm - 6:55 pm
- Location: Merrill Acad, 102[Room Information] [Map]
- Instructor: Prof. Lise Getoor (getoor@ucsc.edu)
- Office: E2-341B
- Office Hours: Tu: 2:00-4:00pm
- TA 1: Varun Embar (vembar+ai@ucsc.edu)
- Office: E2-485
- Office Hours / Lab: Thu: 3:00-5:00pm
Fri: 3:00-5:00pm
- TA 2: Dhawal Joharapurkar (dhawal+ai@ucsc.edu)
- Office: E2-483
- Office Hours / Lab: Wed: 3:00-5:00pm
Thu: 12:30-2:30pm
Course Description
This course provides an introduction to the field of artificial intelligence. Topics include knowledge representation, reasoning and learning. Emphasis will be on algorithms for search, inference, constraint satisfaction and optimization. Prerequisites: working knowledge of probability, linear algebra, and ability to (learn to) program in Python.