Stanford MS&E 221 – Stochastic Modeling

Class description – Spring 2020

Focus is on time-dependent random phenomena. Topics: discrete and continuous time Markov chains, renewal processes, queueing theory, and applications. Emphasis is on building a framework to formulate and analyze probabilistic systems. Prerequisite: 220 or consent of instructor.

Announcements

Please sign up for the class on Canvas; all lecture videos, discussion section notes, and homeworks will be posted there.

Please also sign up for Gradescope; you can find the entry code needed on Canvas. All homework submission and grading will be handled through Gradescope.

Logistics

Class times and locations:

There will be no classroom sections in Spring 2020. All content will be posted online. Lecture videos will be made available each week on Canvas.
Discussion sections (schedule TBA) through Zoom. The Zoom code will be announced on Canvas.

Professor:
Peter Glynn
E-mail: glynn@stanford.edu
Office Hours: Thu 10am-11am, and 5pm-6pm

TAs:
Teng Zhang
E-mail: tengz@stanford.edu
Office Hours: Mon 8pm-9pm (all weeks), Wed 8pm-9pm (HW due weeks) and Fri 10am-11am (HW due weeks)
Linjia Wu
E-mail: linjiawu@stanford.edu
Office Hours: Mon 2pm-3pm (all weeks), Tue 10:30am-11:30am and 8pm-9pm (HW due weeks)
Bernardo Ramos
E-mail: bramos@stanford.edu
Office Hours: Mon, Wed 11am-12pm
Yanlin Qu
E-mail: quyanlin@stanford.edu
Office Hours: Tue, Wed 5pm-6pm

All Office Hours will be imparted via Zoom. Please check Canvas for the full Office Hour schedule as well as codes to join.

For questions, please use Piazza.