Lecture 1: Introduction. (September 5)

Lecture 2: Maxima notation [download in maxima as PDF] (September 5)

Lecture 3: Constructing a model. (September 10)

Lecture 4: One variable Models: Exponential growth. (September 10 and 12)

Lecture 5: One variable Models: Logistic growth. (September 12)

Lecture 6: One variable Models: Selection. (September 17)

Lecture 7: Methods of Analysis. I. Graphing. (September 19)

Lecture 8: Methods of Analysis. II. Equilibria. (September 24 & 26)

Lecture 9: Methods of Analysis. III. Stability (Local). (October 1 & 3)

Lecture 10: Methods of Analysis. III. Stability (Global). (October 3)

Lecture 11: Methods of Analysis. IV. General Solutions. (October 8)

Lecture 12: Applications of Theory (October 8 and 10)

Lecture 13: Putting all this together -- Methylation Levels (October 10)

EXAMPLES & REVIEW (October 15)

MIDTERM (October 17)

Lecture 14: Introduction to Matrices (October 22 and 24)

Lecture 15: Using Matrices to Analyse Linear Equations (October 29)

Lecture 16: Solving Linear Equations: Methylation Levels (October 29 & 31)

Lecture 17: Solving Linear Equations: Red Blood Cell Count (October 31)

Lecture 18: Solving Linear Equations: Introduction to Demography (November 5 and 7)

Lecture 19/20: Analysing Non-Linear Equations: Model of Cooperative Breeding (November 14)

Lecture 21: Analysing Non-Linear Equations: Spread of Disease (November 19)

Lecture 22: Introduction to Probability Theory (November 21)

Lecture 23: Discrete Probability Distributions (November 26)

PRELIMINARY PROJECT (preliminary question and equations or diagram) DUE November 28

Lecture 24: Continuous Probability Distributions (November 28)

Lecture 25: Applications of Probability Theory: Fixation Probability and others (December 3)

EXAMPLES & REVIEW December 5

FINAL PROJECT DUE December 5

EXAMS December 10-21

Note: Schedule is tentative and subject to change.

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