2015-04-25

Mathematics for Computer Science (Fall 2010) by Tom Leighton at MIT

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source: MIT OpenCourseWare    Last updated on 2014年7月2日
MIT 6.042J Mathematics for Computer Science, Fall 2010
Instructor(s): Tom Leighton, Marten van Dijk
This course covers elementary discrete mathematics. Mathematical definitions and proofs are emphasized. Topics include formal logic, induction, graph theory, asymptotic notation and growth of functions, counting principles, and discrete probability.
View the complete course: http://ocw.mit.edu/6-042JF10
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu

Lec 1   Introduction and Proofs 44:10
Lec 2   Induction 1:19:25
Lec 3  Strong Induction 1:22:00
Lec 4  Number Theory I 1:20:25
Lec 5  Number Theory II 1:18:45
Lec 6  Graph Theory and Coloring 1:22:51
Lec 7  Matching Problems 1:22:41
Lec 8  Graph Theory II Minimum Spanning Trees 1:23:26
Lec 9  Communication Networks 1:23:26
Lec 10  Graph Theory III 1:22:50
Lec 11  Relations, Partial Orders, and Scheduling 1:04:00
Lec 12  Sums 1:18:22
Lec 13  Sums and Asymptotics 1:23:40
Lec 14  Divide and Conquer Recurrences 1:22:46
Lec 15  Linear Recurrences 1:18:20
Lec 16  Counting Rules I 1:20:03
Lec 17  Counting Rules II 1:25:24
Lec 18  Probability Introduction 1:23:56
Lec 19  Conditional Probability 1:21:46
Lec 20  Independence 1:22:02
Lec 21  Random Variables 1:23:00
Lec 22  Expectation I 1:23:54
Lec 23  Expectation II 1:23:44
Lec 24  Large Deviations 1:23:23
Lec 25  Random Walks 1:17:53