MIT 6.00 Introduction to Computer Science and Programming - Fall 2008

MIT 6.00 Introduction to Computer Science and Programming - Fall 2008

24 Videos · Sep 3, 2008

About

This subject is aimed at students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems. It also aims to help students, regardless of their major, to feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class will use the Python™ programming language.

Course Homepage: 16.00 Introduction to Computer Science and Programming

Course features at MIT OpenCourseWare page: *Exams *Assignments

Videos

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50:59

Lecture 3: Common code patterns: iterative programs

Eric Grimson

Apr 17, 2010

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11370 views

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50:02

Lecture 8: Complexity; log, linear, quadratic, exponential algorithms

Eric Grimson

Apr 17, 2010

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7868 views

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53:29

Lecture 1: Goals of the course; what is computation; introduction to data types,...

Eric Grimson

Apr 17, 2010

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51896 views

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48:55

Lecture 13: Dynamic programming: overlapping subproblems, optimal substructure

John Guttag

Apr 17, 2010

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6958 views

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50:22

Lecture 16: Encapsulation, inheritance, shadowing

Eric Grimson

Apr 17, 2010

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4502 views

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48:58

Lecture 11: Testing and debugging

John Guttag

Apr 17, 2010

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5962 views

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46:18

Lecture 10: Divide and conquer methods, merge sort, exceptions

Eric Grimson

Apr 17, 2010

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6422 views

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49:22

Lecture 17: Computational models: random walk simulation

John Guttag

Apr 17, 2010

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5815 views

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46:21

Lecture 7: Lists and mutability, dictionaries, pseudocode, introduction to effic...

Eric Grimson

Apr 17, 2010

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6806 views

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50:33

Lecture 14: Analysis of knapsack problem, introduction to object-oriented progra...

John Guttag

Apr 17, 2010

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7196 views

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50:49

Lecture 2: Operators and operands; statements; branching, conditionals, and iter...

Eric Grimson

Apr 17, 2010

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18473 views

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49:46

Lecture 12: More about debugging, knapsack problem, introduction to dynamic prog...

John Guttag

Apr 17, 2010

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6710 views

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51:09

Lecture 23: Stock market simulation

John Guttag

Apr 17, 2010

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13261 views

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50:24

Lecture 15: Abstract data types, classes and methods

Eric Grimson

Apr 17, 2010

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4992 views

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53:47

Lecture 21: Validating simulation results, curve fitting, linear regression

John Guttag

Apr 17, 2010

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5704 views

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47:29

Lecture 9: Binary search, bubble and selection sorts

Eric Grimson

Apr 17, 2010

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5760 views

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52:53

Lecture 18: Presenting simulation results, Pylab, plotting

John Guttag

Apr 17, 2010

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4252 views

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50:48

Lecture 22: Normal, uniform, and exponential distributions; misuse of statistics...

John Guttag

Apr 17, 2010

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4631 views

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47:54

Lecture 20: Monte Carlo simulations, estimating

John Guttag

Apr 17, 2010

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8128 views

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42:47

Lecture 24: Course overview; what do computer scientists do?

John Guttag

Apr 17, 2010

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4739 views

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49:52

Lecture 19: Biased random walks, distributions

John Guttag

Apr 17, 2010

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4033 views

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51:26

Lecture 4: Decomposition and abstraction through functions; introduction to recu...

Eric Grimson

Apr 17, 2010

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9671 views

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44:12

Lecture 5: Floating point numbers, successive refinement, finding roots

John Guttag

Apr 17, 2010

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7487 views

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50:10

Lecture 6: Bisection methods, Newton/Raphson, introduction to lists

John Guttag

Apr 17, 2010

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7418 views