Overview of Topics Covered:

Review of algebra

Functions and limits

Differentiation

Maximization of functions

Integration

Ordinary/Partial Differential Equations

Matrix algebra

Linear equations and least squares

Probability theory

Random variables and common probability distributions

Basic Lecture Structure:

9:00 - 9:30	Introduction Review of previous day Solutions to previous day's problems
9:30 - 9:45	Break
9:45 - 11:00	First lecture
11:00 - 11:15	Break
11:15 - 12:30	Second lecture

Lab Session: 1:30-3:30

Can choose between:

1) More detailed examples of the morning's material 2) Examples of applications of the morning's material to social science research

Lecture Materials, Practice Problems, Solutions - see Mathematics Review