3 courses
Actuarial Statistics for Risk Modeling introduces statistical learning theory and methods for analyzing risks in actuarial applications, covering linear/nonlinear models, diagnostics, and variable selection.
Offering recorded · Spring 2027 · Sources
Recent recorded grades — Spring 2026: 3.65 GPA, 80.0% A/AB (n=30 letter grades).
historical GPA · grades
Fall 2024–Spring 2026 · limited sampleFundamentals of short-term actuarial modeling covering the definition and selection of probability distributions for heavily tailed and skewed insurance data.
Offering recorded · Spring 2027 · Sources
Past student reviews · Paul Johnson
Paul Johnson explained difficult material clearly using examples and proved concepts during lectures. Students found the tests and homework challenging but manageable through practice problems and his office hours, where he confirmed answers and remained available for questions.
historical GPA · grades
Fall 2022–Spring 2026Calculus-based introduction to statistical inference and modeling (regression, time series) applied to business data for decision-making under uncertainty.
Offering recorded · Spring 2027 · Sources
Recent recorded grades — Spring 2025: 3.41 GPA, 59.4% A/AB (n=32 letter grades).
historical GPA · grades
Spring 2024–Spring 2026