MIT 6.00SC | Introduction to Computer Science and Programming (Spring 2011)

This page is the index for my blog post on the MIT 6.00SC | Introduction to Computer Science and Programming (Spring 2011).

Blog Post of Lecture

  1. Lecture 01 | MIT 6.00SC Introduction to Computer Science and Programming
  2. Lecture 02 | Core Elements of a Program
    1. Recitation 1| Review Of Lecture 01 and 02
  3. Lecture 3 | Problem Solving
  4. Lecture 04 | Machine Interpretation of a Program
    1. Recitation 02 | Loops, Tuples, String and Functions
  5. Lecture 05 | Objects in Python
  6. Lecture 06 |  Recursion
  7. Lecture 07 | Debugging
    1. Recitation 04 | Recursion, Pseudo code and Debugging
  8. Lecture 08 | Efficiency and Order of Growth
    1. Optional Recitation | Algorithm Complexity and Class Review
  9. Lecture 09 | Memory and Search Methods
  10. Lecture 10 | Hashing and Classes
  11. Lecture 11 | OOP and Inheritance
    1. Recitation 05 | Quiz 1 Answers and Object-Oriented Programming
  12. Lecture 12 | Introduction to Simulation and Random Walks
  13. Lecture 13 | Some Basic Probability and Plotting Data
  14. Lecture 14 | Sampling and Monte Carlo Simulation
  15. Lecture 15 | Statistical Thinking
    1. Recitation 06 | Probability and Statistics
  16. Lecture 16 | Using Randomness to Solve Non-random Problems
  17. Lecture 17 | Curve Fitting
    1. Recitation 07 | Distributions, Monte Carlo, and Regressions

References

  1. MIT OpenCourseWare Home Page for the Course.
  2. YouTube PlayList of Course
  3. GitHub Link for solution to Problem Set and Experiments.
  4. OpenStudy for group study and help on the course
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