INSH 6101 — Agent-Based Modeling for Applied and Social Sciences
4 semester hoursGraduateLectureusually offered: falltypical days: ThBostonTraditional
Introduces complexity-based models, most notably agent-based models, and their possible applications to a range of planning and public policy issues. Exposes students to complexity theory and methods, including interactions, adaptation, and evolution; cellular automata, agents, networks, and genetic algorithms; and epistemology—the meaning and applications of models. Focuses on modeling and software, including building on sample models; running experiments and analyzing results; and verification, sensitivity, and validation.
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Fall 2023 | 1 | 7 | 25 | 28% | 18.0 |
| Fall 2025 | 1 | 17 | 25 | 68% | 8.0 |
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 0% · T 0% · W 0% · Th 100% · F 0%
Common patterns: R (100% of sections) — in patterns, R means Thursday
Professors
Fall
- Moira Zellner (100% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Links
Official catalog (INSH course descriptions) · Student reviews on RateMyHusky · All INSH courses · Plan it at numap.app