MS&E 121 Introduction to Stochastic Modeling (Spring 2016)
Department of Management Science and Engineering
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
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)
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.
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.
Your course grade will be determined via:
8 assignments (lowest 2 scores dropped): 40%
in-class midterm exam: 15%
in-class final exam: 45%.
All materials (e.g. detailed syllabus, assignments/solutions, lecture notes) will be distributed