COGS2020
  • Lectures
  • Practice
  • Tutorials

Lectures

  • Week 1
    • Understanding variable types in R
    • Understanding the Workspace in R
    • Container Variable Types and Accessing Elements in R
    • Writing and Calling Functions in R
    • Container Variable Type Coercion in R
    • Assignment Operators in R
    • Loops and Conditional Flow in R
    • Getting Help in R
    • Creating a Minimal Reproducible Example
  • Week 2
    • Using external libraries
    • Introduction to data.table
    • Adding and updating data.table columns
    • data.table joins
    • data.table reshaping
    • Chaining data.table calls
  • Week 3
    • Introduction to ggplot
    • Basic Aesthetics in ggplot
    • Common Geoms in ggplot
    • Scales in ggplot2
    • Customization and Themes in ggplot2
    • Faceting with ggplot2
    • Creating PDFs with R Markdown
  • Week 4
    • Visuals Visuals Visuals
    • Core Concepts of Statistical Thinking
    • Descriptive Statistics and Data Visualization in R: Central Tendency
    • Descriptive Statistics and Data Visualization in R: Dispersion and Spread
    • Basic Experiment Design in Psychology and Cognitive Science
  • Week 5
    • Fundamentals of Probability
    • Random Variables and Probability Distributions
    • Moments of Random Variables
    • Key Probability Functions
  • Week 6
    • Central Limit Theorem part 1
    • Central Limit Theorem part 2
    • Central Limit Theorem part 3
    • Distribution of Sample Means
    • Normal test
    • Two-tailed tests
    • Critical Values
    • Confidence Intervals
    • Three Ways to Make a Decision
  • Week 7
    • Inferential Error and Statistical Power
    • Review of Power
    • Effect Size
    • P-Hacking
  • Week 8
    • Standardisation and the \(z\) distribution
    • The single sample \(t\)-test
    • \(t\)-tests for comparing two means
    • Putting it all together
  • Week 9
    • Assumptions in \(t\)-tests
    • One-way ANOVA
    • Assumptions in one-way ANOVA
  • Week 10
    • Repeated Measures One-way ANOVA
    • Two-way ANOVA
    • Mixed ANOVA
    • ANOVA practice questions
    • Final project example (1st draft – TOO LONG!)
  • Week 11
    • Correlation
    • Estimation in simple linear regression
    • Assumptions in simple linear regression
    • Model comparison in simple linear regression
    • Simple linear regression example questions
  • Week 12
    • Multiple regression
    • Maybe: regressions with categorical predictors
    • Maybe: Seeing how every NHST can be seen as fitting a linear model
    • Maybe: partial correlation
  • Week 13
    • Loose ends and review