DS 3000 — Mathematical Foundations of Artificial Intelligence

4 semester hoursUndergraduateLectureNUpath ADNUpath NDusually offered: fall, spring, summerBostonOnlineOnlineTraditional

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.

Prerequisites

Offering history

TermSectionsEnrolledCapacityFullOpen seats/section
Fall 2023639952276%20.5
Spring 2024435337893%6.3
Summer A 20241848797%3.0
Summer B 20241358740%52.0
Fall 2024759763993%6.0
Spring 2025438239297%2.5
Summer A 20251939796%4.0
Summer B 20251637386%10.0
Fall 2025762764997%3.1
Spring 2026534541084%13.0

Snapshots from scheduled scrapes — not live seat availability. "Full" can exceed 100% when sections over-enroll.

Meeting times

Share of recent sections by weekday: M 9% · T 36% · W 6% · Th 6% · F 24%

Common patterns: async (46% of sections), TF (24% of sections), T (9% of sections), U (7% of sections), S (6% of sections), MTWR (3% of sections) — in patterns, R means Thursday

Professors

Fall

Spring

Summer A

Summer B

Percentages are each professor's average share of the season's enrolled students in recent terms.

Unlocks

CNET 5442, CS 3250, CS 4100, CS 4160, CS 4180, CS 4220, CS 4300, CS 4350, CS 4360, CS 4610, DS 4400, ME 3460

Courses that list DS 3000 in their prerequisites.

Links

Official catalog (DS course descriptions) · Student reviews on RateMyHusky · All DS courses · Plan it at numap.app