Sep 3, 2008 
24 videos 
MIT 6.00 Introduction to Computer Science and Programming - Fall 2008
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
Lecture 3: Common code patterns: iterative programs
Apr 17, 2010 11418 views
Lecture 1: Goals of the course; what is computation; introduction to data types,...
Apr 17, 2010 52017 views
Lecture 16: Encapsulation, inheritance, shadowing
Apr 17, 2010 4518 views
Lecture 11: Testing and debugging
Apr 17, 2010 5986 views
Lecture 10: Divide and conquer methods, merge sort, exceptions
Apr 17, 2010 6443 views
Lecture 17: Computational models: random walk simulation
Apr 17, 2010 5833 views
Lecture 14: Analysis of knapsack problem, introduction to object-oriented progra...
Apr 17, 2010 7223 views
Lecture 23: Stock market simulation
Apr 17, 2010 13284 views
Lecture 21: Validating simulation results, curve fitting, linear regression
Apr 17, 2010 5721 views
Lecture 9: Binary search, bubble and selection sorts
Apr 17, 2010 5787 views
Lecture 18: Presenting simulation results, Pylab, plotting
Apr 17, 2010 4271 views
Lecture 19: Biased random walks, distributions
Apr 17, 2010 4045 views
Lecture 22: Normal, uniform, and exponential distributions; misuse of statistics...
Apr 17, 2010 4650 views
Lecture 20: Monte Carlo simulations, estimating
Apr 17, 2010 8150 views
Lecture 24: Course overview; what do computer scientists do?
Apr 17, 2010 4767 views
Lecture 4: Decomposition and abstraction through functions; introduction to recu...
Apr 17, 2010 9689 views
Lecture 6: Bisection methods, Newton/Raphson, introduction to lists
Apr 17, 2010 7432 views
Lecture 5: Floating point numbers, successive refinement, finding roots
Apr 17, 2010 7501 views
Lecture 8: Complexity; log, linear, quadratic, exponential algorithms
Apr 17, 2010 7885 views
Lecture 2: Operators and operands; statements; branching, conditionals, and iter...
Apr 17, 2010 18523 views
Lecture 12: More about debugging, knapsack problem, introduction to dynamic prog...
Apr 17, 2010 6727 views
Lecture 7: Lists and mutability, dictionaries, pseudocode, introduction to effic...
Apr 17, 2010 6827 views
Lecture 15: Abstract data types, classes and methods
Apr 17, 2010 5006 views
Lecture 13: Dynamic programming: overlapping subproblems, optimal substructure
Apr 17, 2010 6972 views