MS&E 121 Introduction to Stochastic Modeling (Spring 2016)

Department of Management Science and Engineering,
Stanford University


    Location: Shriram Ctr BioChemE 104
    Time: Tues. and Thurs. 10:30 AM - 11:50 AM

    Instructor: Rob J. Wang
    Course Assistants (CAs): Simon Anastasiadis, Xin Jin

Office Hours

    Simon: Monday 3:30 PM - 5:30 PM (Y2E2 335)
    Xin: Friday 3:00 PM - 5:00 PM (Spilker 143)
    Rob: Wednesday 9:30 AM - 11:30 AM (Spilker 317)

Review Sessions

    An optional 50-minute review session (led by either the instructor or one of the CAs) will be held every Wednesday (first session on Apr.6, last session on Jun.1) in Hewlett 102 from 5:30 PM to 6:20 PM.

Course Description

    MS&E 121 serves as an introduction to stochastic processes and their applications in management science and operations research. The primary focus will be on Markov chains (in both discrete and continuous time), but additional topics such as queueing theory, inventory modeling, and Monte Carlo will also be treated. Throughout the quarter, we will try to strike a balance between mathematical theory and real-world applications.

Course Requirements

    Your course grade will be determined via:

    8 assignments (lowest 2 scores dropped): 40%
    in-class midterm exam: 15%
    in-class final exam: 45%.

Course Materials

    All materials (e.g. detailed syllabus, assignments/solutions, lecture notes) will be distributed via Canvas.