BIOLOGY 301 
 LECTURES 

Lecture 1: Introduction. (September 10)

Lecture 2: Mathematica notation. (September 10)

Lecture 3: Constructing a model. (September 15)

Lecture 4: One variable Models: Exponential growth. (September 15 and 17)

Lecture 5: One variable Models: Logistic growth. (September 17)

Lecture 6: One variable Models: Selection. (September 22)

Lecture 7: Methods of Analysis. I. Graphing. (September 24)

Lecture 8: Methods of Analysis. II. Equilibria. (September 29)

Lecture 9: Methods of Analysis. III. Stability (Local). (October 1 and 6)

Lecture 10: Methods of Analysis. III. Stability (Global). (October 6)

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

Lecture 12: Applications of Theory (October 8 and 13)

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

EXAMPLES & REVIEW (October 15)

MIDTERM (October 20)

Lecture 14: Introduction to Matrices (October 22 and 27)

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

Lecture 16: Solving Linear Equations: Methylation Levels (Oct. 29 and Nov. 3)

Lecture 17: Solving Linear Equations: Red Blood Cell Count (November 3)

Lecture 18: Solving Linear Equations: Introduction to Demography (November 5 and 10)

Lecture 19: Analysing Non-Linear Equations: Lotka-Volterra Model of Competition (November 12)

Lecture 20: Local Stability Analysis: Lotka-Volterra Model of Competition (November 17)

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

Lecture 22: Introduction to Probability Theory (November 24)

Lecture 23: Discrete Probability Distributions (November 26)

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

Lecture 25: Continuous Probability Distributions (December 1)

Lecture 26: Probability Theory: Fixation Probability (Example)

EXAMPLES & REVIEW December 3

PRELIMINARY PROJECT (preliminary question and equations or diagram) DUE November 26

FINAL PROJECT DUE December 3

EXAMS December 2-22

Note: Schedule is tentative and subject to change.

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