Mathematical models have become indispensable research tools in the ecological sciences. There is a wide variety of modeling approaches and objectives, from seemingly simple conceptual models that are used primarily to generate new testable hypotheses to complex, highly mechanistic models that attempt to mimic natural systems behavior. For the inexperienced, it is often difficult to recognize the quality of a modeling study and the scope of useful application in the light of assumptions and the quality of input data. This course teaches literacy in scientific modeling, as well as the practical skills needed to conduct independent research using models.

Goals:

  • Attain working knowledge in C/C++ programming;
  • Learn some of the fundamental properties of dynamical systems;
  • Explore some classic models in ecology and evolution;
  • Critically read relevant modeling papers covering a broad range of modeling objectives;
  • Work on a modeling project of your choice.

The course requires no advanced knowledge of ecology, mathematics or any knowledge of computer programming. However, students will be challenged to improve their quantitative skills. The more effort you invest into this course, the more you will get out!

Instructors:

Instructor:
Teaching Assistant:

Susan Schwinning
312 Supple
Tel: 512- 245-3753
Email: schwinn@txstate.edu
Office hours: by appointment
Julie Parlos
449 Supple
Email: jparlos@txstate.edu
Office Hours: by appointment