Mathematical Population Biology
Foundational principles for modeling and analysis of real-life phenomena in population biology. Topics include design and analysis of models for general classes of unstructured (single species discrete-time and continuous-time, interacting populations etc.) and structured (spatially-structured, age- structured, sex-structured) population biology models in ecology and epidemiology, dynamics analysis of population biology models (asymptotic stability and bifurcation theory), numerical discretization of continuous-time models, statistical analysis (parameter estimation, uncertainty quantification).
Topics
- design and analysis of models for general classes of unstructured (single species discrete-time and continuous-time
- interacting populations etc
Topics explicitly listed in official catalogue description
Prerequisites & course information
Cross-listed with: MATH721 . Credit Only Granted for: AMSC721 , BIOL721 or MATH721 . Additional Information: Open to advanced undergraduates by permission of instructor. Students must have completed Calculus, differential equations, modeling, linear algebra, familiarity with mathematical software and programming languages (e.g., MATLAB, R, Python etc.).
Sources
- Course catalogue ↗2026-2027