Lecture 1: Introduction. (September 9)

Lecture 2: Mathematica notation. (September 9)

Lecture 3: Constructing a model. (September 14)

Lecture 4: One variable Models: Exponential growth. (September 14 and 16)

Lecture 5: One variable Models: Logistic growth. (September 16)

Lecture 6: One variable Models: Selection. (September 21)

Lecture 7: Methods of Analysis. I. Graphing. (September 23)

Lecture 8: Methods of Analysis. II. Equilibria. (September 28)

Lecture 9: Methods of Analysis. III. Stability (Local). (September 30 and October 5)

Lecture 10: Methods of Analysis. III. Stability (Global). (October 5)

Lecture 11: Methods of Analysis. IV. General Solutions. (October 7)

Lecture 12: Applications of Theory (October 7 and 12)

Lecture 13: Putting all this together -- Methylation Levels (October 12)

EXAMPLES & REVIEW (October 19)

MIDTERM (October 21)

Lecture 14: Introduction to Matrices (October 26 and 28)

Lecture 15: Using Matrices to Analyse Linear Equations (November 2)

Lecture 16: Solving Linear Equations: Methylation Levels (November 2 and 4)

Lecture 17: Solving Linear Equations: Red Blood Cell Count (November 4)

Lecture 18: Solving Linear Equations: Introduction to Demography (November 9 and 16)

Lecture 19: Analysing Non-Linear Equations: Lotka-Volterra Model of Competition (November 18)

Lecture 20: Local Stability Analysis: Lotka-Volterra Model of Competition (November 18 and 23)

Lecture 21: Analysing Non-Linear Equations: Spread of Disease (November 25)

Lecture 22: Introduction to Probability Theory (November 25 and 30)

Lecture 23: Discrete Probability Distributions (November 30)

Lecture 24: Probability Theory: The Coalescent Process (Example)

Lecture 25: Continuous Probability Distributions (December 2)

Lecture 26: Probability Theory: Fixation Probability (Example)

PRELIMINARY PROJECT (preliminary question and equations or diagram) DUE November 25

FINAL PROJECT DUE December 2

EXAMS December 7-21

Note: Schedule is tentative and subject to change.

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