— Probability & Stochastic Processes with Applications to Biology

Prerequisites & course information

This version has ended; see updated course, below. Course Description: Introduction to probability theory and stochastic processes with biological, medical, and bioengineering applications. Combinatorics, discrete and continuous random variables, Bayes’ formula, conditional probability, Markov chains, Poisson processes, and Brownian motion. Computer labs cover mathematical and computational modeling techniques. Learning Activities: Lecture 3 hour(s), Laboratory 2 hour(s). Credit Limitation(s): Only 2 units of credit for students who have completed MAT 135A or STA 131A . Cross Listing: BIS 107 . Grade Mode: Letter. General Education: Science & Engineering (SE). MAT 107 — Probability & Stochastic Processes with Applications to Biology (4 units) Course Description: Introduction to probability theory and stochastic processes with biological, medical, and bioengineering applications. Combinatorics, discrete and continuous random variables, Bayes’ formula, conditional probability, Markov chains, Poisson processes, and Brownian motion. Computer labs cover mathematical and computational modeling techniques. Prerequisite(s): ( MAT 027A C- or better or BIS 027A C- or better) or ( MAT 022A C- or better, ( MAT 022AL C- or better or ENG 006 C- or better or ECS 032A C- or better or ECS 032AV C- or better or ECS 036A C- or better or ECH 060 C- or better or ECH 060V C- or better or EME 005 C- or better)). Learning Activities: Lecture 3 hour(s), Laboratory 2 hour(s). Credit Limitation(s): Only 2 units of credit for students who have completed MAT 135A or STA 131A . Cross Listing: BIS 107 . Grade Mode: Letter. General Education: Science & Engineering (SE). This course version is effective from, and including: Fall Quarter 2026. Learning Activities: Lecture 3 hour(s), Laboratory 2 hour(s). Credit Limitation(s): Only 2 units of credit for students who have completed MAT 135A or STA 131A . Cross Listing: BIS 107 . Grade Mode: Letter. General Education: Science & Engineering (SE). MAT 107 — Probability & Stochastic Processes with Applications to Biology (4 units) Course Description: Introduction to probability theory and stochastic processes with biological, medical, and bioengineering applications. Combinatorics, discrete and continuous random variables, Bayes’ formula, conditional probability, Markov chains, Poisson processes, and Brownian motion. Computer labs cover mathematical and computational modeling techniques. Prerequisite(s): ( MAT 027A C- or better or BIS 027A C- or better) or ( MAT 022A C- or better, ( MAT 022AL C- or better or ENG 006 C- or better or ECS 032A C- or better or ECS 032AV C- or better or ECS 036A C- or better or ECH 060 C- or better or ECH 060V C- or better or EME 005 C- or better)). Learning Activities: Lecture 3 hour(s), Laboratory 2 hour(s). Credit Limitation(s): Only 2 units of credit for students who have completed MAT 135A or STA 131A . Cross Listing: BIS 107 . Grade Mode: Letter. General Education: Science & Engineering (SE). This course version is effective from, and including: Fall Quarter 2026.