Computer Science · Fall 2026
SDSU CS 450 — Intro Artificial Intellig
First-order logic. Heuristic and uninformed search. Deep neural networks, hierarchical clustering, k-means, linear regression, support vector machines. Image classification and object tracking. Language models, parsing, speech generation. Formerly numbered as CS 550.
Course requirements
Prerequisites: CS 210 or CS 305 or CS 496-Data Structures or CS 496-Data Structures for Scientists/Engineers; MATH 254; STAT 250 or one of the following: STAT 119, BIOL 215, CIV E 160, ECON 201, LING 270, POL S 201, PSY 280, or SOC 201.
- CS 210 or CS 305 or CS 496-Data Structures or CS 496-Data Structures for Scientists/Engineers; MATH 254; STAT 250 or one of the following: STAT 119, BIOL 215, CIV E 160, ECON 201, LING 270, POL S 201, PSY 280, or SOC 201.
Fall 2026 enrollment options
Seat status can change| Class # | Format | Status | Seats | Time | Location | Professor | RateMyProfessors |
|---|---|---|---|---|---|---|---|
| 4099 Lrg Lect | In person | Open | 66 / 68 | Mon/Wed 7:00 PM–8:15 PM | PSFA 310 | Xuanji Yu | No rating |
| 7619 Lrg Lect | In person | Open | 52 / 60 | Thu 7:00 PM–9:40 PM | AL 204 | To be Announced | No RateMyProfessor match available |
| 8838 Lrg Lect | In person | Open | 71 / 72 | Tue/Thu 7:00 PM–8:15 PM | LSS 365 | Benyamin Allahgholizadeh Haghi | No RateMyProfessor match available |