Detailed Course Information |
Fall 2026 Semester
Nov 15, 2026 |
|
 |
||
 | Select the desired Level or Schedule Type to find available classes for the course. |
| DS 3000 - Mathematical Foundations of Artificial Intelligence |
|
Introduces methods and concepts from linear algebra and probability that form a basis for modern artificial intelligence. Emphasizes mathematical foundations with written work and computational aspects using programming assignments. Students work with tensors and may be tasked with implementing from scratch algorithms central to numerical linear algebra, introductory machine learning, and artificial intelligence.
4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Data Science Department Course Attributes: NUpath Analyzing/Using Data, NUpath Natural/Designed World, Computer&Info Sci Restrictions: Must be enrolled in one of the following Levels: Undergraduate Prerequisites: Undergraduate level CS 2100 Minimum Grade of D- or Undergraduate level CIS 201M Minimum Grade of D- or Undergraduate level CS 2510 Minimum Grade of D- or Undergraduate level DS 2500 Minimum Grade of D- |
| Return to Previous | New Search |
|