Lectures S19

In Spring 2019, we incorporated R programming into the syllabus.

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Topic 1, Intro To RStudio

Topic 2, Working with data

Topic 3, Regrssion Lines

Topic 4, Multivariable Regression Models

Topic 5, Plurality and Runoff Voting methods

Topic 6, Borda Count

Topic 7, Head_To_Head Comparisons, Condorcet

Topic 8, Arrow's theorem

Topic 9, Systems of Linear Equations

Topic 10, Matrices

Topic 11, Colley's Method

Topic 12, Massey's Method

Topic 12 and a half, Filling in Brackets

Topic 13, Code For Massey and Colley Methods

Topic 14, Functions and Logical Operators

Topic 15, Subsetting data.

Topic 16, Summarizing Univariate data

Topic 17, Populations

Topic 18, Normal Distribution

Topic 19, Hypothesis testing