6.100L Introduction to CS and Programming Using Python
6.100L Introduction to CS and Programming Using Python (Fall 2022, MIT OCW). Instructor: Dr. Ana Bell. This subject is aimed at students with little to 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, feel justifiably confident in their ability to write simple programs that allow them to accomplish useful goals. The class will use the Python 3 programming language.
(from ocw.mit.edu)
| Lecture 01 - Introduction |
| Lecture 02 - Strings, Input/Output, and Branching |
| Lecture 03 - Iteration |
| Lecture 04 - Loops over Strings, Guess-and-Check, and Binary |
| Lecture 05 - Floats and Approximation Methods |
| Lecture 06 - Bisection Search (Fixed) |
| Lecture 07 - Decomposition, Abstraction, and Functions |
| Lecture 08 - Functions as Objects |
| Lecture 09 - Lambda Functions, Tuples, and Lists |
| Lecture 10 - Lists and Mutability (Fixed) |
| Lecture 11 - Aliasing and Cloning |
| Lecture 12 - List Comprehension, Functions as Objects, Testing, and Debugging (Fixed) |
| Lecture 13 - Exceptions and Assertions |
| Lecture 14 - Dictionaries |
| Lecture 15 - Recursion |
| Lecture 16 - Recursion on Non-numerics |
| Lecture 17 - Python Classes |
| Lecture 18 - More Python Class Methods |
| Lecture 19 - Inheritance |
| Lecture 20 - Fitness Tracker Object-Oriented Programming Example |
| Lecture 21 - Timing Programs and Counting Operations |
| Lecture 22 - Big Oh and Theta |
| Lecture 23 - Complexity Classes Examples |
| Lecture 24 - Sorting Algorithms |
| Lecture 25 - Plotting |
| Lecture 26 - List Access, Hashing, Simulations, and Wrap-up |