Spring 2025
INDENG 231 101 - LAB 101
Introduction to Data Modeling, Statistics, and System Simulation
Jinghai He, Yuhang Wu
Class #:33753
Units: 3
Instruction Mode:
In-Person Instruction
Offered through
Industrial Engineering and Operations Research
Current Enrollment
Total Open Seats:
-6
Enrolled: 124
Waitlisted: 0
Capacity: 118
Waitlist Max: 30
No Reserved Seats
Hours & Workload
1 hours of instructional experiences requiring special laboratory equipment and facilities per week, 2 hours of instructor presentation of course materials per week, and 6 hours of outside work hours per week.
Course Catalog Description
This course uses simulation models for analyzing and optimizing systems where the underlying processes and/or parameters are not fully known, but data may be available, sampled, or artificially generated. Monte Carlo simulations are used in a weekly laboratory to model systems that may be too complex to approximate accurately with deterministic, stationary, or static models; and to measure the robustness of predictions and manage risks in decisions based on data-driven models.
Rules & Requirements
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
No Reserved Seats
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials