2023 Fall

INDENG 231 001 - LEC 001

Introduction to Data Modeling, Statistics, and System Simulation

Class #:35098

Units: 3

Instruction Mode: In-Person Instruction

Offered through Industrial Engineering and Operations Research

Current Enrollment

Total Open Seats: 0

Enrolled: 1

Waitlisted: 0

Capacity: 1

Waitlist Max: 0

No Reserved Seats

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.