MATH4426

Probability

This course provides a general introduction to modern probability theory. Topics include probability spaces, discrete and continuous random variables, joint and conditional distributions, mathematical expectation, the central limit theorem, and the weak law of large numbers. Applications to real data will be stressed, and we will use the computer to explore many concepts.

Course overview

Department
Mathematics
School
MCAS
Credits
3

Requirements fulfilled

No source-backed degree requirement is attached to this course yet.

Official evaluation summary

3.59 / 5

Based on 406 aggregate responses from BC Avalanche/Blue evaluations.

Data freshness

Course and evaluation data last updated 2026-07-23. Source details and limitations are documented in Data Sources and Methodology.

Instructors

  • Robert Gross
    Fall 2026, Spring 2025, Fall 2023, Spring 2023 · Official rating 2.42/5
  • Daniel Chambers
    Spring 2022 · Official rating 4.45/5
  • Jamison Wolf
    Fall 2025, Fall 2024, Spring 2024, Fall 2022, Fall 2021 · Official rating 3.66/5
  • Rishi Sonthalia
    Spring 2026 · Official rating 4.12/5

Sections

  • Section 01
    Fall 2026 · Robert Gross · Gasson Hall 302 MWF 01:00PM-01:50PM · Offered
  • Section 02
    Fall 2026 · Robert Gross · Gasson Hall 302 MWF 02:00PM-02:50PM · Offered