CSIS 185Computational Theory for Al

Grossmont College · 3 credits · UGRD

Catalog

This course covers the mathematical foundations of artificial intelligence, focusing on applied matrix theory using TensorFlow, optimization via gradient algorithms, and Bayesian methods for pattern recognition and decision-making. Students will learn to implement and optimize AI models, applying these techniques to real-world problems in AI. (CSU/UC)

Recent sections

Fall 2026 · 1 section

Aug 24 – Dec 21

Section	Days & time	Location	Instructor
0468Class #0468-CSIS-185-0468	Monday 2:00 PM - 4:20 PM Bldg 70 113 (Lecture)2:00 PM - 4:20 PM Times TBD Distance Education/Online WEB (Internet 51+% Online)	Bldg 70 113Distance Education/Online WEB	Nuzen, A
0468 notes: Section 0468 is a hybrid course that will require both on-campus and online meetings. Scheduled meeting times are noted above. TBA/TBD = To be announced/determined and will be offered asynchronously (WEB). Familiarity with computers, Internet required. For more information, email the instructor. [https://www.gcccd.edu/staffdirectory/search.asp] ZTC Zero Textbook Cost section: This course does not require purchase of a textbook and may use free Open Educational Resources (OER) or free textbook alternatives.