Introduction to Computer Science and Programming in Python
_6.0001 Introduction to Computer Science and Programming in Python_ is intended for students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems and to help students, regardless of their major, feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class uses the Python 3.5 programming language.
Syllabus
- 1 Lecture 1: What is Computation?
- 2 Lecture 2: Branching and Iteration
- 3 Lecture 3: String Manipulation, Guess and Check, Approximations, Bisection
- 4 Lecture 4: Decomposition, Abstraction, and Functions
- 5 Lecture 5: Tuples, Lists, Aliasing, Mutability, and Cloning
- 6 Lecture 6: Recursion and Dictionaries
- 7 Lecture 7: Testing, Debugging, Exceptions, and Assertions
- 8 Lecture 8: Object Oriented Programming
- 9 Lecture 9: Python Classes and Inheritance
- 10 Lecture 10: Understanding Program Efficiency, Part 1
- 11 Lecture 11: Understanding Program Efficiency, Part 2
- 12 Lecture 12: Searching and Sorting
Course materials
- Course on MIT OpenCourseWare β website