2023 Spring INDENG 231 101 LAB 101

Spring 2023

INDENG 231 101 - LAB 101

Introduction to Data Modeling, Statistics, and System Simulation

Yuhang Wu

Jan 17, 2023 - May 05, 2023
We
04:00 pm - 04:59 pm
Social Sciences Building 60
Class #:33430
Units: 3

Instruction Mode: In-Person Instruction

Current Enrollment

Total Open Seats: -1
Enrolled: 69
Waitlisted: 0
Capacity: 68
Waitlist Max: 6
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.

Other classes by Yuhang Wu

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.

Textbook Lookup

Guide to Open, Free, & Affordable Course Materials

eTextbooks

Associated Sections