ECS 132: Probability and Statistical Modeling for Computer Science

Welcome to ECS 132 - Winter Quarter 2026!

Course Overview

This course covers the fundamentals of probability theory and statistical modeling with applications to computer science. Topics include:

• Probability foundations and combinatorics
• Discrete and continuous random variables
• Probability distributions
• Law of Large Numbers and Central Limit Theorem
• Maximum Likelihood Estimation
• Hypothesis testing and classification
• Linear regression and joint distributions

Course Information

• Instructor: [To be updated]
• Quarter: Winter 2026
• Prerequisites: Calculus and basic programming skills

Getting Started

• Check the Schedule for lecture topics and important dates
• Review the Syllabus for course policies and grading
• Visit Canvas for assignments and announcements

Resources

All lecture materials, slides, and resources will be available through this site and Canvas.