Introduction to CS and Programming using Python

Overview

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.

Syllabus

Lecture 1: Introduction to CS and Programming Using Python
Lecture 2: Strings, Input/Output, and Branching
Lecture 3: Iteration
Lecture 4: Loops over Strings, Guess-and-Check, and Binary
Lecture 5: Floats and Approximation Methods
Lecture 6: Bisection Search (FIXED)
Lecture 7: Decomposition, Abstraction, and Functions
Lecture 8: Functions as Objects
Lecture 9: 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