• 1 Homepage
    • 1.0.1 Course Updates
  • 2 Course Syllabus
    • 2.0.1 Course Description
    • 2.0.2 Learning Goals
    • 2.0.3 Grading
    • 2.0.4 Schedule
  • 3 Lecture Notes
    • 3.1 Class 2: Intro to R
      • 3.1.1 Data Types, Variables, Math
      • 3.1.2 Comparing Values
      • 3.1.3 Collections
      • 3.1.4 Iteration
      • 3.1.5 Data Frames: Tabular Data
      • 3.1.6 Plotting
      • 3.1.7 Wide to Long
    • 3.2 Class 3: Exponential Growth and Age Structure
      • 3.2.1 Comparison to Real Data
      • 3.2.2 Age Structure
      • 3.2.3 The Leslie Matrix
    • 3.3 Class 5: Lotka-Volterra I: Competition
      • 3.3.1 Equilibirum from multiple starting points
    • 3.4 Class 7: Infectious Diseases
      • 3.4.1 The SIR Model
      • 3.4.2 SEIR
    • 3.5 Class 9: The Wright-Fisher Model I - Neutral Evolution
      • 3.5.1 Random Walks
      • 3.5.2 Wright-Fisher Simulation
  • 4 R Guidebook
    • 4.1 Data Types
    • 4.2 Variables
      • 4.2.1 Overwriting Variables
    • 4.3 Math
      • 4.3.1 Order of Operations
    • 4.4 Comparisons
      • 4.4.1 AND and OR
    • 4.5 Vectors
      • 4.5.1 Indexing
      • 4.5.2 Logical Indexing
      • 4.5.3 Modifying Vectors
      • 4.5.4 Adding to Vectors
    • 4.6 Data Frames
      • 4.6.1 Subsetting Data Frames
      • 4.6.2 Logical Indexing
    • 4.7 Plotting
    • 4.8 Linear Regression
  • 5 Lecture Slides
  • Authors
  • Published with bookdown (by The Johns Hopkins Data Science Lab)

    Style adapted from: rstudio4edu-book (CC-BY 2.0)

Population Genetics Modeling

5 Lecture Slides

Slides from all class session will be hosted on this page.

Lecture 1 (8/27)

Lecture 3 (9/3)

Lecture 4 (9/5)

Lecture 5 (9/10)

Lecture 6 (9/12)

Lecture 7 (9/17)

Lecture 9 (9/24)

Lecture 10 (9/26)

Lecture 13 (10/8)

Lecture 14 (10/10)

Lecture 15 (10/15)

Lecture 17 (10/24)

Lecture 18 (10/31)

Lecture 19 (11/5)

Lecture 20 (11/7)


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All other materials CC-BY unless noted otherwise.