Course Information
Summer 2008
- I was an instructor/mentor at the Mathematical and Theoretical Biology Institute. Here is my MTBI 2008 web page for those participating (and here is a link to the official MTBI page for those who aren't familiar with it).
Previous Courses
In the past at UMaine I've taught MAT 232 (Intro to Principles of Statistical Inference), MAT 262 (Linear Algebra), MAT 401 (Capstone course), MAT 451 (Differential Equations and Dynamical Systems), MAT 487 (Numerical Analysis), and various independent-study MAT 400 (Topics in Mathematics) courses. Here is a schedule of previous courses I've taught:
Spring 2008
- MAT262, Linear Algebra
- MAT451, Differential Equations and Dynamical Systems
Fall 2007
- MAT262, Linear Algebra (2 sections)
- MAT400, Advanced Linear Algebra
- Here is a list of errata I found in the textbook, Applied Linear Algebra by Olver and Shakiban (Pearson / Prentice Hall, 2006). The authors have now included these errors in their own list (with acknowledgment), but I'll leave my document here for historical purposes (let's say as documentation of service to the profession).
Summer 2007
- I was an instructor/mentor at the Mathematical and Theoretical Biology Institute. Many of the notes are available for those who participated.
Spring 2007
- MAT 400, Topics in Math: Modeling and Simulation, mainly population and epidemiological modeling (including spatial stochastic models in discrete and continuous time), and writing simulations in Matlab and R.
- MAT262 (Linear Algebra).
Fall 2006
- MAT262, Linear Algebra (2 sections)
Summer 2006
- Many of my notes for MTBI are available for those who participated.
Spring 2006
- MAT262, Linear Algebra
Fall 2005
- MAT262, Linear Algebra (2 sections)
Spring 2005
- MAT401, Capstone Course in Mathematics. Different people teach this course differently. The way I teach it, it's a course in mathematical modeling and simulation. The course covered basic modeling using difference equations and differential equations; basic population ecology models, and spatial population models and epidemiological models; finding equilibria and doing linearized stability analysis of difference and differential equations; stochastic processes (Poisson processes), and the connections between probability, simulations, and differential equations; computational statistics. We spent half the class time in the computer lab, using Matlab.
Fall 2004
- MAT262, Linear Algebra (2 sections)
- MAT400, Topics in Math: Epidemiological Models
- MAT487, Numerical Analysis
- Here is a list of errata I found in the textbook, Numerical Methods Using Matlab, 4th edition by Mathews and Fink (Pearson / Prentice Hall, 2004). After I sent this list to the authors, they seem to have included many items from it into their own list of errata, although unfortunately without any acknowledgment.
Spring 2004
- MAT262, Linear Algebra
- MAT400, Topics in Mathematics: Complex Adaptive Systems
- MAT401, Capstone Course in Mathematics
Fall 2003
- MAT232, Principles of Statistical Inference
- MAT262, Linear Algebra
- MAT400, Topics in Mathematics: Spatial Population Models
Spring 2003
- MAT232, Principles of Statistical Inference (2 sections)
- MAT400, Topics in Mathematics: Cellular Automata Modeling
Fall 2002
- MAT262, Linear Algebra
Earlier
- I taught BTRY101 and BTRY102, a sequence called "Intro to Biometry" at Cornell during Fall 2000 through Spring 2002. Here is some information about those two courses (mainly of historical interest now).