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Mathematics for Computer Science (MIT) (Fall 2010)

(25 Lectures Available)


S# Lecture Course Institute Instructor Discipline
1 Lecture 1 Introduction and Proofs Mathematics for Computer Science (MIT) (Fall 2010) MIT Tom Leighton Basic and Health Sciences
2 Lecture 2 Induction Mathematics for Computer Science (MIT) (Fall 2010) MIT Tom Leighton Basic and Health Sciences
3 Lecture 3 Strong Induction Mathematics for Computer Science (MIT) (Fall 2010) MIT Tom Leighton Basic and Health Sciences
4 Lecture 4 Number Theory I Mathematics for Computer Science (MIT) (Fall 2010) MIT Marten van Dijk Basic and Health Sciences
5 Lecture 5 Number Theory II Mathematics for Computer Science (MIT) (Fall 2010) MIT Marten van Dijk Basic and Health Sciences
6 Lecture 6 Graph Theory and Coloring Mathematics for Computer Science (MIT) (Fall 2010) MIT Tom Leighton Basic and Health Sciences
7 Lecture 7 Matching Problems Mathematics for Computer Science (MIT) (Fall 2010) MIT Tom Leighton Basic and Health Sciences
8 Lecture 8 Graph Theory II Minimum Spanning Trees Mathematics for Computer Science (MIT) (Fall 2010) MIT Marten van Dijk Basic and Health Sciences
9 Lecture 9 Communication Networks Mathematics for Computer Science (MIT) (Fall 2010) MIT Marten van Dijk Basic and Health Sciences
10 Lecture 10 Graph Theory III Mathematics for Computer Science (MIT) (Fall 2010) MIT Marten van Dijk Basic and Health Sciences
11 Lecture 11 Relations, Partial Orders, and Scheduling Mathematics for Computer Science (MIT) (Fall 2010) MIT Marten van Dijk Basic and Health Sciences
12 Lecture 12 Sums Mathematics for Computer Science (MIT) (Fall 2010) MIT Tom Leighton Basic and Health Sciences
13 Lecture 13 Sums and Asymptotics Mathematics for Computer Science (MIT) (Fall 2010) MIT Tom Leighton Basic and Health Sciences
14 Lecture 14 Divide and Conquer Recurrences Mathematics for Computer Science (MIT) (Fall 2010) MIT Tom Leighton Basic and Health Sciences
15 Lecture 15 Linear Recurrences Mathematics for Computer Science (MIT) (Fall 2010) MIT Tom Leighton Basic and Health Sciences
16 Lecture 16 Counting Rules I Mathematics for Computer Science (MIT) (Fall 2010) MIT Marten van Dijk Basic and Health Sciences
17 Lecture 17 Counting Rules II Mathematics for Computer Science (MIT) (Fall 2010) MIT Marten van Dijk Basic and Health Sciences
18 Lecture 18 Probability Introduction Mathematics for Computer Science (MIT) (Fall 2010) MIT Tom Leighton Basic and Health Sciences
19 Lecture 19 Conditional Probability Mathematics for Computer Science (MIT) (Fall 2010) MIT Tom Leighton Basic and Health Sciences
20 Lecture 20 Independence Mathematics for Computer Science (MIT) (Fall 2010) MIT Tom Leighton Basic and Health Sciences
21 Lecture 21 Random Variables Mathematics for Computer Science (MIT) (Fall 2010) MIT Tom Leighton Basic and Health Sciences
22 Lecture 22 Expectation I Mathematics for Computer Science (MIT) (Fall 2010) MIT Tom Leighton Basic and Health Sciences
23 Lecture 23 Expectation II Mathematics for Computer Science (MIT) (Fall 2010) MIT Tom Leighton Basic and Health Sciences
24 Lecture 24 Large Deviations Mathematics for Computer Science (MIT) (Fall 2010) MIT Tom Leighton Basic and Health Sciences
25 Lecture 25 Random Walks Mathematics for Computer Science (MIT) (Fall 2010) MIT Tom Leighton Basic and Health Sciences

of 1 25 Lectures Available.