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Computer Science · Fall 2026, Winter 2027, Spring 2027, & Summer 2027

SDSU CS 450 — Intro Artificial Intellig

3.00 units 5 enrollment options

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 Benyamin Allahgholizadeh Haghi 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

Spring 2027 enrollment options

Seat status can change
Class # Format Status Seats Time Location Professor RateMyProfessors
10073 Lrg Lect In person Open 0 / 75 Tue/Thu 3:30 PM–4:45 PM NE 060 Xiaobai Liu 3.1/5 · 14 reviews Difficulty 2.9 · 40% take again
6405 Lrg Lect In person Open 0 / 80 Mon/Wed 7:00 PM–8:15 PM GMCS 301 Xuanji Yu No rating

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