Welcome to STATS 115 - Introduction to Probability and Statistics for Computer Science in Winter 2026
Basic Bayesian concepts and methods with emphasis on data analysis. Special emphasis on specification of prior distributions. Includes linear, logistic, and Poisson regression.
Prerequisite: STATS 120C
Recommended STATS 110
By the end of this course you will be able to:
distinguish frequentist and Bayesian approaches to data analysis;
choose appropriate prior distributions for a Bayesian model;
use Stan to fit Bayesian models;
interpret Bayesian model results.
Important Dates
Midterm exam on Feb 11 during lecture time in class
Final project deadlines
on Fri, Feb 20 at 5:00 pm: Final project proposals due
Fri, Mar 20 at 1:00 pm: Final project presentations due. Virtual.
Fri, Mar 20 at 1:30 - 3:30 pm: Final project peer review. Virtual.