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
Lecture 3: Common code patterns: iterative programs
Apr 17, 2010
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11372 views
Lecture 8: Complexity; log, linear, quadratic, exponential algorithms
Apr 17, 2010
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7869 views
Lecture 1: Goals of the course; what is computation; introduction to data types,...
Apr 17, 2010
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51908 views
Lecture 13: Dynamic programming: overlapping subproblems, optimal substructure
Apr 17, 2010
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6959 views
Lecture 16: Encapsulation, inheritance, shadowing
Apr 17, 2010
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4503 views
Lecture 11: Testing and debugging
Apr 17, 2010
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5964 views
Lecture 10: Divide and conquer methods, merge sort, exceptions
Apr 17, 2010
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6424 views
Lecture 17: Computational models: random walk simulation
Apr 17, 2010
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5815 views
Lecture 7: Lists and mutability, dictionaries, pseudocode, introduction to effic...
Apr 17, 2010
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6806 views
Lecture 14: Analysis of knapsack problem, introduction to object-oriented progra...
Apr 17, 2010
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7198 views
Lecture 2: Operators and operands; statements; branching, conditionals, and iter...
Apr 17, 2010
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18474 views
Lecture 12: More about debugging, knapsack problem, introduction to dynamic prog...
Apr 17, 2010
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6712 views
Lecture 23: Stock market simulation
Apr 17, 2010
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13262 views
Lecture 15: Abstract data types, classes and methods
Apr 17, 2010
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4993 views
Lecture 21: Validating simulation results, curve fitting, linear regression
Apr 17, 2010
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5704 views
Lecture 9: Binary search, bubble and selection sorts
Apr 17, 2010
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5763 views
Lecture 18: Presenting simulation results, Pylab, plotting
Apr 17, 2010
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4253 views
Lecture 22: Normal, uniform, and exponential distributions; misuse of statistics...
Apr 17, 2010
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4631 views
Lecture 20: Monte Carlo simulations, estimating
Apr 17, 2010
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8130 views
Lecture 24: Course overview; what do computer scientists do?
Apr 17, 2010
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4739 views
Lecture 19: Biased random walks, distributions
Apr 17, 2010
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4033 views
Lecture 4: Decomposition and abstraction through functions; introduction to recu...
Apr 17, 2010
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9672 views
Lecture 5: Floating point numbers, successive refinement, finding roots
Apr 17, 2010
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7488 views
Lecture 6: Bisection methods, Newton/Raphson, introduction to lists
Apr 17, 2010
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7418 views