MAT SCI 262
Probabilistic Modeling and Simulation of Complex Systems
Grades
3.62
Average grade awarded in MAT SCI 262. Not a student rating: this is what the grades were.
In the A range
60%
of the 57 letter grades
D, F or W
0.0%
of every letter grade awarded, plus withdrawals
Taken pass/no pass
0%
nobody in the record took it pass/no pass
The registrar's own records: 57 grades over 2 terms, Fall 2021 to Fall 2025. Every instructor is pooled here.
What is inside that record
No summer session is in that record.
The table below splits them, and term averages across those 2 terms ran 3.61 to 3.62.
Historical grades for all professors, across recorded terms. The course summary above includes all professors.
- A+ 9 · 15.8%
- A 15 · 26.3%
- A- 10 · 17.5%
- B+ 14 · 24.6%
- B 9 · 15.8%
Percentages are of the 57 letter grades. Grey bars are non-letter outcomes.
How the non-letter outcomes are counted
They are excluded from the GPA entirely rather than scored, because counting a P as a 4.0 would be a fabrication.
By instructor
| Instructor | Predicted GPA | Raw | n | Terms | A range | Workload | Winter 2027 |
|---|---|---|---|---|---|---|---|
| MOSLEH, ALI reviews ↗ | 3.61 | 3.62 | 57 | 2 | 60% | - | not teaching it |
Why Predicted is not the Raw average
“Predicted” is shrunk toward the course average, which is itself shrunk toward the department, so an instructor with a handful of students sits near the course mean rather than topping the list.
Grade records describe outcomes. For what a course is like to take, read student reviews written on dibs below or follow the separate external review link.
Workload and assignments
Work types reported in BruinWalk reviews of this course, across recorded instructors and terms. They may differ from this term's syllabus.
dibs has not read this course’s reviews, so it cannot say what kind of work it sets. That is dibs not having looked. It is not a course without papers or exams, and the reviews linked below are the answer until dibs catches up.
What comes first
dibs has not read a class page for MAT SCI 262 in any term it holds, so it cannot say what comes before it.
Counted in courses rather than quarters: dibs does not know which of them a department lets you take together.
From the registrar's catalog
Seminar, four hours; discussion, one hour; outside study, seven hours. 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.
Sections in Winter 2027
From the people who took it
Student reviews
What taking MAT SCI 262 was like: the work, the teaching, and what students wish they’d known.
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