MIT OpenCourseWare Math for Computer Science - Search Videos

Lecture 1: Predicates, Sets, and Proofs

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Lecture 1: Predicates, Sets, and Proofs

MIT 6.1200J Mathematics for Computer Science, Spring 2024Instructor: Zachary AbelView the complete course: https://ocw.mit.edu/courses/6-1200j-mathematics-f...

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MIT OpenCourseware Lectures

Lec 1 | MIT 18.01 Single Variable Calculus, Fall 2007

Lec 1 | MIT 18.01 Single Variable Calculus, Fall 2007

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2.7M viewsAug 18, 2009

Lec 1 | MIT 6.00 Introduction to Computer Science and Programming, Fall 2008

Lec 1 | MIT 6.00 Introduction to Computer Science and Programming, Fall 2008

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6.5M viewsAug 20, 2009

Lecture 01: Introduction to 14.310x Data Analysis for Social Scientists

Lecture 01: Introduction to 14.310x Data Analysis for Social Scientists

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140.2K viewsFeb 20, 2024

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Lecture 7: Recurrences

Lecture 7: Recurrences

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Lecture 5: Sums

Lecture 5: Sums

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Lecture 2: Contradiction and Induction

Lecture 2: Contradiction and Induction

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32K views7 months ago

MIT OpenCourseware Computer Science

Lec 1 | MIT 6.00SC Introduction to Computer Science and Programming, Spring 2011

Lec 1 | MIT 6.00SC Introduction to Computer Science and Programming, Spring 2011

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812.2K viewsMar 2, 2012

Lec 2 | MIT 6.00 Introduction to Computer Science and Programming, Fall 2008

Lec 2 | MIT 6.00 Introduction to Computer Science and Programming, Fall 2008

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1.2M viewsAug 20, 2009

Lec 3 | MIT 6.00 Introduction to Computer Science and Programming, Fall 2008

Lec 3 | MIT 6.00 Introduction to Computer Science and Programming, Fall 2008

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587.5K viewsAug 20, 2009

Lecture 7: Recurrences

Lecture 7: Recurrences

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Lecture 5: Sums

Lecture 5: Sums

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Lecture 2: Contradiction and Induction

Lecture 2: Contradiction and Induction

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Lecture 19: Conditional Probability

Lecture 19: Conditional Probability

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Lecture 3: Casework and Strong Induction

Lecture 3: Casework and Strong Induction

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Lecture 9: Modular Arithmetic

Lecture 9: Modular Arithmetic

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Lecture 8: Divisibility

Lecture 8: Divisibility

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Lecture 21: Random Variables

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Lecture 23: Expectation and Variance

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Lecture 6: Asymptotics

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Lecture 16: Counting Techniques

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Lecture 4: State Machines

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Lecture 13: Connectivity and Trees

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Lecture 12: Matching

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Lecture 22: Expectation

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Lecture 11: Graphs and Coloring

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Lecture 17: More Counting Techniques

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Lecture 20: Independence

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Lecture 15: Relations and Counting

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Lecture 14: Digraphs and DAGs

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Lecture 10: Cryptography

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Lecture 1, Part I: Introduction of the Class

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Introductory Science and Math | MIT OpenCourseWare | Free Online Cours…

Lec 1 | MIT 6.042J Mathematics for Computer Science, Fall 2010

2.7M viewsDec 31, 2012

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Lec 4 | MIT 6.042J Mathematics for Computer Science, Fall 2010

370.8K viewsDec 31, 2012

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Lecture 2: Linear Algebra

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Lecture 24: Large Deviations: Chebyshev and Chernov Bound, Wra…

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Lecture 18: Probability

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What's Worth Making? with Prof. Hal Abelson

17.7K viewsMay 29, 2024

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