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Lecture 1 - [1.1] Background
Lecture 2 - [1.2] Slopes and Straight Lines
Lecture 3 - [1.3] Linear Functions and Mathematical Models
Lecture 4 - [1.4, 1.5] Intersection of Straight Lines, Least Squares
Lecture 5 - [2.1] Systems of Linear Equations
Lecture 6 - [2.4, 2.5] Matrices and Matrix Multiplication
Lecture 7 - [2.6] The Inverse of a Matrix
Lecture 8 - [2.2] Solving Linear Systems
Lecture 9 - [2.3] Solving Linear Systems
Lecture 10 - [3.1, 3.2] Graphing Linear Inequalities
Lecture 11 - [3.3] Linear Programming
Lectures 12a, 12b - [4.1] Simplex Method
Lecture 13 - [6.1] Sets and Set Operations
Lecture 14 - [6.2] Counting Elements in a Set
Lecture 15 - [6.3] Multiplication Principle
Lectures 16a, 16b - [6.4] Permutations and Combinations
Lectures 17 - [7.1] Experiments
Lectures 18 - [7.2] Definition of Probability
Lectures 19 - [7.3] Rules of Probability
Lectures 20 - [7.4] Counting Techniques
Lectures 21a and 21b - [7.5] Conditional Probability
Lectures 22 - [7.5] Independent Events
Lectures 23 - [7.6] Bayes' Theorem
Lectures 24 - [8.1] Random Variables
Lectures 25 - [8.2] Expected Value
Lectures 26 - [8.3] Variance and Standard Deviation
Lectures 27 - [8.4] Binomial Distribution
Lectures 28 - [8.5] Normal Distribution
Lectures 29 - [8.6] Applications
Lectures 30 - [5.1] Compound Interest
Lectures 31 - [5.2] Annuities