My Smilin' Face
Detailed Research Description
Book: Simulating Ecological and Evolutionary Systems in C.
Book: Constructed Climates
Constructed Climates Related Course
Useful, free, scientific software.
Detailed Teaching Description
Open Access Publishing Information
Ecosystem Services Course Information
Links (open in new window):
Durham Open Space and Trails Information
Graduate Program in Ecology
Department of Biology
Will Wilson's Teaching Interests


  • Bio 295S.74 (Fall 97) Topics in Theoretical Ecology and Evolution
    This term's proposed topic is a series of talks on theoretical population genetics. Goals: 1) Get a group together talking about topics in theoretical ecology and evolution. 2) All N participants give seminars (each participant gives 16/N seminars). These will be structured presentations with outlines and conclusions, with feedback to help you master this extremely important skill (think JOB TALK). 3) Presentations on tangentially related topics are very welcome.
  • Bio 295S.23 (Fall 97) Population Ecology (Wilson/Morris)
    Goal of the course: To explore several key questions in population ecology from a theoretical perspective, and to link the main theoretical conclusions to the empirical evidence. Tentative list of topics: 1) Demography and dynamics of structured populations, 2) Stochastic population dynamics, 3) Life history characteristics.
  • Bio/Bot/Zoo 293 (Spring 98) Simulating Ecological Systems
    This course covers the use of C programming applied to ecological and evolutionary problems, including such topics as predator-prey dynamics and resource allocation in plants. The topics covered will be driven mostly (well, partly) by student interest. Analytic modelling will be discussed, including differential equations and the like, but the primary tool will be simulation and computational techniques.
  • Bio 294 (Spring 97) Successes in Theoretical Ecology and Evolution
    I examine a variety of empirical and experimental case studies covering many processes operating in ecological and evolutionary systems. The course's primary goal is to provide an understanding of ecological and evolutionary systems by blending results from the biological world with the language of mathematics. Each case study involves a quantitative theoretical analysis that generalizes the results beyond a specific system. In-depth mathematical analysis of each case study will take roughly two weeks: I will introduce/review all the necessary mathematical concepts (i.e., definitions of the derivative and integral). A seminar session meets once a week to discuss homework assignments and lecture material. Course is open to advanced undergraduates.