MATH 433
Mathematical Modeling
Last Offered Spring 2021
Division III Quantitative/Formal Reasoning
This course is not offered in the current catalog

Class Details

Mathematical modeling means (1) translating a real-life problem into a mathematical object, (2) studying that object using mathematical techniques, and (3) interpreting the results in order to learn something about the real-life problem. Mathematical modeling is used in biology, economics, chemistry, geology, sociology, political science, art, and countless other fields. This is an advanced, seminar-style, course appropriate for students who have strong enthusiasm for applied mathematics, data science, and collaborative teamwork.
The Class: Format: seminar
Limit: 20
Expected: 20
Class#: 5367
Grading: yes pass/fail option, yes fifth course option
Requirements/Evaluation: Students will complete reading assignments, writing assignments, modeling activities, research projects, and will record several presentations to be shared with the rest of the class. To move towards a non-hierarchical, transparent, and egalitarian grading system, the instructor follows the policy of "ungrading." Over the course of the semester, students will develop a rubric to assess their own learning and will evaluate themselves according to this rubric.
Prerequisites: MATH 250; MATH 309 or similar; and some experience with computer programming (equivalent to CSCI 134 or MATH 307).
Enrollment Preferences: Professor's discretion
Distributions: Division III Quantitative/Formal Reasoning
QFR Notes: This course focuses substantially on using mathematical and statistical tools and frameworks to describe, predict, and understand real-world systems.

Class Grid

Updated 1:58 pm

Course Catalog Search

(searches Title and Course Description only)



Start Time
End Time