IE 4520 — Stochastic Modeling
4 semester hoursUndergraduateLectureusually offered: fall, springtypical days: FBostonTraditional
Covers the analytical development and solution to stochastic models in operations research. Topics include Markov chains, queuing theory, and dynamic programming.
Prerequisites
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Fall 2023 | 1 | 23 | 35 | 66% | 12.0 |
| Spring 2024 | 1 | 52 | 54 | 96% | 2.0 |
| Fall 2024 | 1 | 34 | 34 | 100% | 0.0 |
| Spring 2025 | 1 | 30 | 54 | 56% | 24.0 |
| Fall 2025 | 1 | 12 | 42 | 29% | 30.0 |
| Spring 2026 | 1 | 42 | 43 | 98% | 1.0 |
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 22% · T 18% · W 37% · Th 22% · F 51%
Common patterns: F (45% of sections), MWR (22% of sections), W (16% of sections), T (12% of sections), TF (6% of sections) — in patterns, R means Thursday
Professors
Fall
- Kayse Maass (67% of students) · reviews
- Hande Musdal Ondemir (33% of students) · reviews
Spring
- Hande Musdal Ondemir (100% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Links
Official catalog (IE course descriptions) · Student reviews on RateMyHusky · All IE courses · Plan it at numap.app