MATH4426 · Mathematics
Morrissey College of Arts & Sciences
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 experience
Averages use the original five-point historical evaluation scale.
Organization
4.3 / 5
How well the course was organized
Challenge
4.8 / 5
How intellectually challenging students found it
Attendance
4.6 / 5
How necessary attendance was
Assignments
4.5 / 5
How helpful assignments were
Weekly effort
~5.5
hours per week
Estimated from the original workload response buckets. Individual sections may differ.
Instructor options
Ratings below reflect only recovered evaluations connected to this course.
Across time
Section-level results available in the recovered archive.
Spring 2025
2 sectionsFall 2024
2 sectionsSpring 2024
2 sectionsFall 2023
2 sectionsSpring 2023
2 sectionsFall 2022
2 sectionsSpring 2022
2 sectionsFall 2021
2 sectionsSpring 2021
2 sectionsFall 2020
2 sectionsSpring 2020
2 sections