DS3000 — Mathematical Foundations of Artificial Intelligence: Reviews & Ratings

DS3000 (Mathematical Foundations of Artificial Intelligence) course reviews and ratings at Northeastern (NEU). Average rating 3.9/5. Compare professors with RateMyProfessor reviews.

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.

Average rating

3.9/5

Difficulty

2.4/5

Ratings

83

Last taught

Fall 2026

Credits

4 Hours

Prerequisites

CS 2100 with a minimum grade of D- or CIS 201M with a minimum grade of D- or CS 2510 with a minimum grade of D- or DS 2500 with a minimum grade of D-

NUpath

Analyzing/Using Data, Natural/Designed World

Professors

• Mohit Singhal
• Chieh Wu
• Sophine Clachar
• Eric Gerber
• Caglar Yildirim
• Xiaoyi Yang
• Akshar Varma
• Matthew Higger

Data updated October 2026.

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