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

(25 Lectures Available)

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

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