ALY 3510 — AI Foundations: An Interdisciplinary Approach

3 semester hoursUndergraduateLectureusually offered: fall, springBostonOnlineHybridOnlineTraditional

Introduces artificial intelligence, serving as an excellent starting point for exploring various aspects of AI or understanding its broader societal implications. Designed to help students from all academic backgrounds understand AI's principles and applications. Examines core concepts while exploring the field's true potential and limitations. Covers various AI paradigms, including machine learning, natural language processing, computer vision, and robotics, without requiring prior programming experience. Emphasizes AI's societal impact, discussing its ethical implications, potential benefits, and challenges across different sectors. Employs hands-on projects, interactive sessions, and real-world case studies to offer a critical perspective on AI's evolving role in shaping our future.

Offering history

TermSectionsEnrolledCapacityFullOpen seats/section
Fall 20252276045%16.5
Spring 20262186030%21.0

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 40% · T 0% · W 0% · Th 0% · F 0%

Common patterns: async (60% of sections), M (40% of sections) — in patterns, R means Thursday

Professors

Fall

Spring

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

Links

Official catalog (ALY course descriptions) · All ALY courses · Plan it at numap.app