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