MAT SCI 262 · MSE 262Probabilistic Modeling and Simulation of Complex Systems
Materials Science and Engineering · 4 units · Graduate courses (200-299)
Introduction to simulation methodologies and model development approaches that provide insight into systemic risks or performance characteristics involved in random processes and/or complex systems. These simulation methodologies are designed to inform decision-making at all stages of the system’s lifecycle. Key elements include underlying mathematic principles, numerical analysis techniques, and application of results to solve problems in range of science and engineering fields. Students gain experience in creating properly scoped simulation models, verifying models, and presenting results to communicate information. Students are equipped with working knowledge of fundamental simulation techniques and ability to create meaningful models of their own.
Letter grading.
When it runs
- Winter 2026
- Winter 2027
Scheduled, not typical — from UCLA’s Schedule of Classes, which publishes Fall 2025 through Spring 2027 and nothing before it.
Requisites
UCLA lists no requisites for this course.
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
Nothing — this is an entry point.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
No course in the catalog lists this as a requisite.