In this lecture, Dr. Bell introduces the theory of computation and explains some aspects of computational thinking. Programming languages are discussed, with an emphasis on basic Python syntax and data structures.

Lecture 1: What is Computation?

In this lecture, Prof. Grimson explains basic search and sort algorithms, including linear search, bisection search, bubble sort, selection sort, and merge sort.

Lecture 12: Searching and Sorting

In this lecture, Prof. Grimson continues discussing different classes of algorithmic complexity, including logarithmic complexity, polynomial complexity, and exponential complexity.

Lecture 11: Understanding Program Efficiency, Part 2

In this lecture, Prof. Grimson introduces algorithmic complexity, a rough measure of the efficiency of a program. He then discusses Big "Oh" notation and different complexity classes.

Lecture 10: Understanding Program Efficiency, Part 1

This in-class question demonstrates how subclasses are constructed in Python.

Subclass

This in-class question explains how and why class attribute getters and setters are important in Python.

Getters and Setters

In this lecture, Dr. Bell continues the discussion of Object Oriented Programming in Python, with an emphasis on data control, inheritance, and subclasses.

Lecture 9: Python Classes and Inheritance

This in-class question demonstrates how a custom class method can be constructed in Python.

Special Methods

This question explains the how a class method changes a attribute is altered in Python.

Method Call

This in-class exercise demonstrates class method construction in Python.

Methods

Introduction to Computer Science and Programming in Python

Hmm Xtreme

In this lecture, Prof. Grimson introduces the concept of recursion and the Python dictionary data type.

Lecture 6: Recursion and Dictionaries

In this lecture, Dr. Bell introduces strings and indentation in Python, then discusses basic features of programmatic logic, such as branching, conditionals, iteration, and loops.

Lecture 2: Branching and Iteration

In this lecture, Dr. Bell introduces compound data types, such as lists and tuples, and explains the concepts of aliasing, mutability, and cloning.

Lecture 5: Tuples, Lists, Aliasing, Mutability, and Cloning

In this lecture, Dr. Bell discusses string manipulation, guess-and-check algorithms, approximate solution methods, and bisection search.

Lecture 3: String Manipulation, Guess and Check, Approximations, Bisection

In this lecture, Dr. Bell introduces Object Oriented Programming and discusses its representation in Python.

Lecture 8: Object Oriented Programming

In this lecture, Dr. Bell discusses program structuring, functions, specifications, scoping, and the difference between the "return" and "print" keywords in Python.

Lecture 4: Decomposition, Abstraction, and Functions

This in-class question explains variable bindings and the order of operations in python.

Bindings

This in-class exercise demonstrates working with strings in Python.

Strings

In this lecture, Dr. Bell discusses testing, debugging, and exceptions and assertion statements in Python.

Lecture 7: Testing, Debugging, Exceptions, and Assertions

This in-class exercise demonstrates how conditionals and comparisons work in Python.

Comparisons

This in-class question demonstrates While Loops in Python.  Correction for Lecture_02_exercise_04: The right answer should be print "You got out of the Lost Forest!" 

This in-class question demonstrates While Loops in Python. Correction for Lecture_02_exercise_04: The right answer should be print "You got out of the Lost Forest!"

While Loops

This in-class question demonstrates For Loops and Break statements in Python.

For Loops

This in-class question demonstrates how conditional branching works in Python.

Branching

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