CSIS 185 - Computational Theory for Artificial Intelligence
- Recent Professors
- A. Nuzen
- Recent Semesters
- Fall 2026
- Class Size
- 26 students
- Credits
- 3
- Prerequisite
- "C" grade or higher or "Pass" in CSIS 115 or equivalent.
- Fall 2026 Sections
- View Fall 2026 sections of CSIS 185
- Transfers To
- CSU
- Description
- 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)
- Usually Held
- Mon 2:00pm–4:20pm