MATH133
MATHEMATICAL MODELING
- Department
- Mathematics
- Terms offered
- 1
- Data refreshed
- Jun 27, 2026
Description
Section information text: Mathematical models are fundamental for understanding, predicting, and decision-making in almost every field. The goal of this course is to enable students to build mathematical models of real-world phenomena, analyze them, and make predictions about their behavior. A variety of models will be addressed with examples taken from natural and social sciences such as biology, chemistry, economics, and physics. Students are expected to actively engage in the modeling process by showing understanding and questioning the models constituents and extrapolating the presented examples to other situations. This course is project based. By the end of this course students are expected to present a report on their project with a focus on describing the modeling procedure and an analysis of the extent to which their model is accurate and its limitations.
Syllabi
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Offerings and forecast 2022
2022
| Year | Fall | Spring | Summer | Intersession |
|---|---|---|---|---|
| 2030 | 2030 Fall: not enough history to forecast. | 2030 Spring: not enough history to forecast. | 2030 Summer: not enough history to forecast. | 2030 Intersession: not enough history to forecast. |
| 2029 | 2029 Fall: not enough history to forecast. | 2029 Spring: not enough history to forecast. | 2029 Summer: not enough history to forecast. | 2029 Intersession: not enough history to forecast. |
| 2028 | 2028 Fall: not enough history to forecast. | 2028 Spring: not enough history to forecast. | 2028 Summer: not enough history to forecast. | 2028 Intersession: not enough history to forecast. |
| 2027 | 2027 Fall: not enough history to forecast. | 2027 Spring: not enough history to forecast. | 2027 Summer: not enough history to forecast. | 2027 Intersession: not enough history to forecast. |
| 2022 | Not offered | 1 section | Not offered | Not offered |
Meeting times
Recent firstNo meeting times.
| Term | Professor | Type | Credits | Enrollment | CRN |
|---|---|---|---|---|---|
| Spring 2022 | Ali Maalaoui | Lecture | 1 | 8 of 25 enrolled | 31670 |