— Probability Models for Computer Science

Prerequisites & course information

Course Description: Probabilistic and statistical models useful in computer/data science. Applications to networks, bioinformatics, database management, machine learning, software engineering and image processing. Learning Activities: Lecture 3 hour(s), Project, Extensive Problem Solving. Enrollment Restriction(s): Open to Graduate Students in Computer Science only. Credit Limitation(s): Not open for credit to students who have completed ECS 256A. Grade Mode: Letter. Learning Activities: Lecture 3 hour(s), Project, Extensive Problem Solving. Enrollment Restriction(s): Open to Graduate Students in Computer Science only. Credit Limitation(s): Not open for credit to students who have completed ECS 256A. Grade Mode: Letter.