Spring 2022
INDENG 173 001 - LEC 001
Introduction to Stochastic Processes
Zeyu Zheng
Class #:22054
Units: 3
Instruction Mode:
In-Person Instruction
Offered through
Industrial Engineering and Operations Research
Current Enrollment
Total Open Seats:
24
Enrolled: 96
Waitlisted: 0
Capacity: 120
Waitlist Max: 30
Open Reserved Seats:
23 unreserved seats
1 reserved for Industrial Engineering and Operations Research Majors with 5 or more Terms in Attendance or Transfer students in their first term at Berkeley
Hours & Workload
2 hours of instructor presentation of course materials per week, 6 hours of outside work hours per week, and 2 hours of the exchange of opinions or questions on course material per week.
Final Exam
WED, MAY 11TH
03:00 pm - 06:00 pm
Physics Building 1
Other classes by Zeyu Zheng
Course Catalog Description
This is an introductory course in stochastic models. It builds upon a basic course in probability theory and extends the concept of a single random variable into collections of random variables known as stochastic processes. The course focuses on discrete-time Markov chains, Poisson process, continuous-time Markov chains, and renewal theory. It also discusses applications to queueing theory, risk analysis and reliability theory. Along with the theory, the course covers stochastic simulation techniques that will allow students to go beyond the models and applications discussed in the course.
Rules & Requirements
Credit Restrictions
Students will receive no credit for Ind Eng 173 after taking Ind Eng 161.
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
Open Reserved Seats:
23 unreserved seats
1 reserved for Industrial Engineering and Operations Research Majors with 5 or more Terms in Attendance or Transfer students in their first term at Berkeley
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials