Mathematics for Computer Science (M-I-T) (Fall 2010)

• Lecture 1 Introduction and Proofs
• Lecture 2 Induction
• Lecture 3 Strong Induction
• Lecture 4 Number Theory I
• Lecture 5 Number Theory II
• Lecture 6 Graph Theory and Coloring
• Lecture 8 Graph Theory II Minimum Spanning Trees
• Lecture 9 Communication Networks
• Lecture 10 Graph Theory III
• Lecture 11 Relations, Partial Orders, and Scheduling
• Lecture 12 Sums
• Lecture 13 Sums and Asymptotics
• Lecture 14 Divide and Conquer Recurrences
• Lecture 15 Linear Recurrences
• Lecture 16 Counting Rules I
• Lecture 17 Counting Rules II
• Lecture 18 Probability Introduction
• Lecture 19 Conditional Probability
• Lecture 20 Independence
• Lecture 21 Random Variables
• Lecture 22 Expectation I
• Lecture 23 Expectation II
• Lecture 24 Large Deviations
• Lecture 25 Random Walks