Description
This course introduces students to the fundamental concepts, methods, and models of applied probability and stochastic processes. The course is application-oriented and focuses on the development of probabilistic thinking and intuitive feel of the subject rather than on a more traditional formal approach based on measure theory. The main goal is to equip science and engineering students with necessary probabilistic tools they can use in future studies and research.
General Information
Name | Office Hours | |
---|---|---|
Kostia Zuev | When? Where? | |
Rachael Kim | When? Where? | |
Cloris Cheng | When? Where? | |
Theresa Zhang | When? Where? | |
Derek Tian-Hua Ing | When? Where? | |
Angel Wang | When? Where? | |
Saraswati Soedarmadji | When? Where? | |
Damon Lin | When? Where? | |
Victor Li | When? Where? | |
Rohan Iyer | When? Where? | |
Pearl Chen | When? Where? |