Lecture 1: Introduction. (September 4)

Lecture 2: Maxima notation [download in maxima as PDF] (September 4)

Lecture 3: Constructing a model. (September 9)

Lecture 4: One variable Models: Exponential growth. (September 9 and 11)

Lecture 5: One variable Models: Logistic growth. (September 11)

Lecture 6: One variable Models: Selection. (September 16)

Lecture 7: Methods of Analysis. I. Graphing. (September 18)

Lecture 8: Methods of Analysis. II. Equilibria. (September 23 & 25)

Lecture 9: Methods of Analysis. III. Stability (Local). (Sept 30 & Oct 2)

Lecture 10: Methods of Analysis. III. Stability (Global). (October 2)

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

Lecture 12: Applications of Theory (October 7 and 9)

Lecture 13: Putting all this together -- Methylation Levels (October 9)

EXAMPLES & REVIEW (October 14)

MIDTERM (October 16)

Lecture 14: Introduction to Matrices (October 21 and 23)

Lecture 15: Using Matrices to Analyse Linear Equations (October 28)

Lecture 16: Solving Linear Equations: Methylation Levels (October 28 & 30)

Lecture 17: Solving Linear Equations: Red Blood Cell Count (October 30)

Lecture 18: Solving Linear Equations: Introduction to Demography (November 4 and 6)

Lecture 19/20: Analysing Non-Linear Equations: Model of Cooperative Breeding (November 13)

Lecture 21: Analysing Non-Linear Equations: Spread of Disease (November 18)

Lecture 22: Introduction to Probability Theory (November 20)

Lecture 23: Discrete Probability Distributions (November 25)

PRELIMINARY PROJECT (preliminary question and equations or diagram) DUE November 27

Lecture 24: Continuous Probability Distributions (November 27)

Lecture 25: Applications of Probability Theory: Fixation Probability and others (December 2)

EXAMPLES & REVIEW December 4

FINAL PROJECT DUE December 4

EXAMS December 10-21

Note: Schedule is tentative and subject to change.

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