Mathematical and Computational Modeling in Ecology

Description

Lecture, three hours; discussion, one hour. Requisite: Life Sciences 30B or Mathematics 3B or 31A. Recommended: courses 100, 122, Life Sciences 1 or 7B, Mathematics 3C. Introduction to modeling dynamics of ecological systems, including formulation and analysis of mathematical models, basic techniques of scientific programming, probability and stochastic modeling, and … For more content click the Read More button below.

Lecture, three hours; discussion, one hour. Requisite: Life Sciences 30B or Mathematics 3B or 31A. Recommended: courses 100, 122, Life Sciences 1 or 7B, Mathematics 3C. Introduction to modeling dynamics of ecological systems, including formulation and analysis of mathematical models, basic techniques of scientific programming, probability and stochastic modeling, and methods to relate models to data. Examples from ecology but techniques and principles applicable throughout life and physical sciences. Concurrently scheduled with course C219A. P/NP or letter grading.

Instructional Format

Primary Format

Lecture

Secondary Format

Discussion

Concurrent Course

EE BIOL C219A - Mathematical and Computational Modeling in Ecology

A pair of upper-division undergraduate and graduate courses that share a primary activity. They are scheduled at the same time and place with the same instructor.

General Catalog 2022-23