Information
| Day | Item | Time | Location |
|---|---|---|---|
| Monday | Office Hours (Connor & Eriq) | 2:00 - 4:00 pm | E2 - 483 |
| Tuesday | Class | 11:40 - 1:15 pm | N. Sci. Annex, 101 |
| Tuesday | Discussion (Connor & Eriq) | 3:20 - 4:25 pm | Thimann Lab 101 |
| Wednesday | Discussion (Connor & Eriq) | 12:00 - 1:05 pm | Earth & Marine B210 |
| Thursday | Class | 11:40 - 1:15 pm | N. Sci. Annex, 101 |
| Thursday | Lise's office hours | 2:00 - 4:00 pm | E2 - 341B |
| Friday | Office Hours (Connor & Eriq) | 2:00 - 4:00 pm | E2 - 483 |
- Class: Tuesdays & Thursdays, 11:40 - 1:15 pm
- Location: N. Sci Annex 101[Room Information] [Map]
- Discussion: Tuesdays, 3:20 - 4:25 pm
- Location: Thimann Lab 101 [Room Information] [Map]
- Discussion: Wednesdays, 12:00 - 1:05 pm
- Location: Thimann Lab 101 [Room Information] [Map]
- Instructor: Prof. Lise Getoor (getoor@ucsc.edu)
- Office: E2 - 341B
- Office Hours: Thursdays 2:00 - 4:00 pm or by appointment
- TA 1: Connor Pryor (cfpryor@ucsc.edu)
- Office: E2 - 483
- Office Hours: Mondays and Fridays 2:00 - 4:00 pm
- TA 2: Eriq Augustine (eaugusti@ucsc.edu)
- Office: E2 - 483
- Office Hours: Mondays and Fridays 2:00 - 4:00 pm
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.