MATH 7338 — Probability and Measure
4 semester hoursGraduateLectureusually offered: springtypical days: M/WBostonTraditional
Focuses on measure-theoretic probability theory, with an emphasis on proofs. Introduces measure spaces and the different notions of convergence that are relevant for random variables. Studies the classical limit theorems about sums of independent, identically distributed random variables. Proves both the law of large numbers and central limit theorem under optimal assumptions. Covers the theory of martingales, with applications toward random walks, Markov chains, and continuous time diffusion processes.
Prerequisites
- MATH 5102 (min C-)
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Spring 2024 | 1 | 11 | 23 | 48% | 12.0 |
| Spring 2025 | 1 | 6 | 23 | 26% | 17.0 |
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 65% · T 35% · W 65% · Th 35% · F 0%
Common patterns: MW (65% of sections), TR (35% of sections) — in patterns, R means Thursday
Professors
Spring
- Matan Harel (100% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Links
Official catalog (MATH course descriptions) · Student reviews on RateMyHusky · All MATH courses · Plan it at numap.app