Home > Instructors > John Guttag
John Guttag Professor MIT

John Guttag

Professor
MIT

Courses

  1. Introduction to Computer Science and Programming Course

    Introduction to Computer Science and Programming

    MIT / Computer Science
    Eric Grimsom
    John Guttag

Lectures

  1. Introduction and Goals of the Course Lecture
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    Introduction and Goals of the Course

    MIT / Computer Science
    Eric Grimsom
    John Guttag
  2. Operators and operands Lecture
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    Operators and operands

    MIT / Computer Science
    Eric Grimsom
    John Guttag
  3. Common code patterns Lecture
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    Common code patterns

    MIT / Computer Science
    Eric Grimsom
    John Guttag
  4. Decomposition and abstraction through functions Lecture
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    Decomposition and abstraction through functions

    MIT / Computer Science
    Eric Grimsom
    John Guttag
  5. Floating point numbers Lecture
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    Floating point numbers

    MIT / Computer Science
    Eric Grimsom
    John Guttag
  6. Bisection methods Lecture
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    Bisection methods

    MIT / Computer Science
    Eric Grimsom
    John Guttag
  7. Lists and mutability Lecture
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    Lists and mutability

    MIT / Computer Science
    Eric Grimsom
    John Guttag
  8. Complexity Lecture
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    Complexity

    MIT / Computer Science
    Eric Grimsom
    John Guttag
  9. Binary search Lecture
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    Binary search

    MIT / Computer Science
    Eric Grimsom
    John Guttag
  10. Divide and conquer methods Lecture
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    Divide and conquer methods

    MIT / Computer Science
    Eric Grimsom
    John Guttag
  11. Testing and debugging Lecture
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    Testing and debugging

    MIT / Computer Science
    Eric Grimsom
    John Guttag
  12. Knapsack problem Lecture
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    Knapsack problem

    MIT / Computer Science
    Eric Grimsom
    John Guttag
  13. Dynamic programming Lecture
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    Dynamic programming

    MIT / Computer Science
    Eric Grimsom
    John Guttag
  14. Introduction to object-oriented programming Lecture
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    Introduction to object-oriented programming

    MIT / Computer Science
    Eric Grimsom
    John Guttag
  15. Abstract data types Lecture
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    Abstract data types

    MIT / Computer Science
    Eric Grimsom
    John Guttag
  16. Encapsulation Lecture
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    Encapsulation

    MIT / Computer Science
    Eric Grimsom
    John Guttag
  17. Computational models Lecture
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    Computational models

    MIT / Computer Science
    Eric Grimsom
    John Guttag
  18. Presenting simulation results Lecture
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    Presenting simulation results

    MIT / Computer Science
    Eric Grimsom
    John Guttag
  19. Biased random walks Lecture
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    Biased random walks

    MIT / Computer Science
    Eric Grimsom
    John Guttag
  20. Monte Carlo simulations Lecture
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    Monte Carlo simulations

    MIT / Computer Science
    Eric Grimsom
    John Guttag
  21. Validating simulation results Lecture
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    Validating simulation results

    MIT / Computer Science
    Eric Grimsom
    John Guttag
  22. Stock market simulation Lecture
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    Stock market simulation

    MIT / Computer Science
    Eric Grimsom
    John Guttag
  23. Course overview: What do computer scientists do? Lecture
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    Course overview: What do computer scientists do?

    MIT / Computer Science
    Eric Grimsom
    John Guttag
  24. Normal, uniform, and exponential distributions Lecture
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    Normal, uniform, and exponential distributions

    MIT / Computer Science
    Eric Grimsom
    John Guttag

Related Lectures

  1. Dependent sources and amplifiers Lecture

    Dependent sources and amplifiers

    MIT / Computer Science
    Anant Agarwal
  2. Memory Lecture

    Memory

    Stanford / Computer Science
    Mehran Sahami
  3. Encapsulation Lecture

    Encapsulation

    MIT / Computer Science
    Eric Grimsom
    John Guttag
  4. Compare Map Implementations Lecture

    Compare Map Implementations

    Stanford / Computer Science
    Julie Zelenski