— Introduction to Probability Theory

Prerequisites & course information

This version has ended; see updated course, below. Course Description: Fundamental concepts of probability theory, discrete and continuous random variables, standard distributions, moments and moment-generating functions, laws of large numbers and the central limit theorem. Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Credit Limitation(s): Not open for credit to students who have completed MAT 135A . Grade Mode: Letter. General Education: Science & Engineering (SE); Quantitative Literacy (QL). STA 131A — Introduction to Probability Theory (4 units) Course Description: Fundamental concepts of probability theory, discrete and continuous random variables, standard distributions, moments and moment-generating functions, laws of large numbers and the central limit theorem. Prerequisite(s): MAT 021C C- or better; ( MAT 022A C- or better or MAT 027A C- or better or MAT 067 C- or better); MAT 021D strongly recommended. Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Enrollment Restriction(s): Pass One restricted to Statistics & Data Science majors and Statistics & Biostatistics graduate students. Credit Limitation(s): Not open for credit to students who have completed MAT 135A . Grade Mode: Letter. General Education: Science & Engineering (SE); Quantitative Literacy (QL). This course version is effective from, and including: Fall Quarter 2026. Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Credit Limitation(s): Not open for credit to students who have completed MAT 135A . Grade Mode: Letter. General Education: Science & Engineering (SE); Quantitative Literacy (QL). STA 131A — Introduction to Probability Theory (4 units) Course Description: Fundamental concepts of probability theory, discrete and continuous random variables, standard distributions, moments and moment-generating functions, laws of large numbers and the central limit theorem. Prerequisite(s): MAT 021C C- or better; ( MAT 022A C- or better or MAT 027A C- or better or MAT 067 C- or better); MAT 021D strongly recommended. Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Enrollment Restriction(s): Pass One restricted to Statistics & Data Science majors and Statistics & Biostatistics graduate students. Credit Limitation(s): Not open for credit to students who have completed MAT 135A . Grade Mode: Letter. General Education: Science & Engineering (SE); Quantitative Literacy (QL). This course version is effective from, and including: Fall Quarter 2026.