
Lecture 1: Introduction. (September 6)
Lecture 2: Mathematica notation. (September 6)
Lecture 3: Constructing a model. (September 11)
Lecture 4: One variable Models: Exponential growth. (September 11 and 13)
Lecture 5: One variable Models: Logistic growth. (September 13)
Lecture 6: One variable Models: Selection. (September 18)
Lecture 7: Methods of Analysis. I. Graphing. (September 20)
Lecture 8: Methods of Analysis. II. Equilibria. (September 25)
Lecture 9: Methods of Analysis. III. Stability (Local). (Sept. 27 and Oct. 2)
Lecture 10: Methods of Analysis. III. Stability (Global). (October 2)
Lecture 11: Methods of Analysis. IV. General Solutions. (October 4)
Lecture 12: Applications of Theory (October 4 and 9)
Lecture 13: Putting all this together  Methylation Levels (October 9)
EXAMPLES & REVIEW (October 11)
MIDTERM (October 16)
Lecture 14: Introduction to Matrices (October 18 and 23)
Lecture 15: Using Matrices to Analyse Linear Equations (October 25)
Lecture 16: Solving Linear Equations: Methylation Levels (October 25 and 30)
Lecture 17: Solving Linear Equations: Red Blood Cell Count (November 6)
Lecture 18: Solving Linear Equations: Introduction to Demography (October 30 and November 1)
Lecture 19: Analysing NonLinear Equations: LotkaVolterra Model of Competition (November 8)
Lecture 20: Local Stability Analysis: LotkaVolterra Model of Competition (November 13)
Lecture 21: Analysing NonLinear Equations: Spread of Disease (November 15)
Lecture 22: Introduction to Probability Theory (November 20)
Lecture 23: Discrete Probability Distributions (November 22)
PRELIMINARY PROJECT (preliminary question and equations or diagram) DUE November 22
Lecture 24: Probability Theory: The Coalescent Process (Example)
Lecture 25: Continuous Probability Distributions (November 27)
Lecture 26: Probability Theory: Fixation Probability (Example)
EXAMPLES & REVIEW November 29
FINAL PROJECT DUE November 29
EXAMS December 419
Note: Schedule is tentative and subject to change.
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