Programming Paradigms

Function (computer programming)

Scoping

Algorithmic Complexity

2048

Python

Object-Oriented Programming (OOP)

Tree Recursion

Higher-order function (HOF)

Algorithms

Best Coding Practices

List Mutation

Social Implications

Abstraction (computer science)

List (abstract data type)

Mutability

Recursion (computer science)

Fractals

Python Data Structures

Number Representation

Concurrency

CS 10: The Beauty and Joy of Computing UC Berkeley Summer 2022 A gentle, thorough introduction to computer science, starting with block-based language Snap! and transitioning to Python. The course covers fundamental programming concepts and encourages application in various fields.
Level: Beginner friendly. Welcome to CS10: The Beauty and Joy of Computing! We’re really excited to have you on board with us this Summer for a gentle but thorough introduction to computer science. Our course will start out in the blocks-based language Snap!, but will transition into Python once you have learned some fundamentals of programming. By the end of the class, we hope you walk away with a deeper understanding of the ideas that have come to define computer science, the ability to build your own programs, and the confidence to apply these skills in whichever field you choose to pursue.   

CS 10: The Beauty and Joy of Computing

Computer Programming

Loops

For Loop

Environment Diagrams

Dictionaries

Mutable Data

Linked list

Tree (data structure)

Generators

Databases

Lambda

Abstract Data Type (ADT)

Inheritance (object-oriented programming)

Efficiency

Exception handling

Iterators

CS 88: Computational Structures in Data Science UC Berkeley Fall 2022 This course provides an introduction to computer science with an emphasis on functional programming, data abstraction, object-oriented programming, and program complexity. The course teaches foundational programming concepts primarily in Python. CS 88 is a "connector" for Data 8 that is designed for students who would like a more complete introduction to Computer Science. We will cover a variety of topics such as functional programming, data abstraction, object-oriented programming, and program complexity. This course will be taught primarily in Python. However, we are interested in teaching you foundational programming ideas, not just how to use one particular programming language. Once you have learned the essence of programming and the concepts that appear in various forms in programming languages, you will be able to pick up other languages and other programming concepts rapidly.

The material for this course has significant overlap with CS 61A. We do not cover the interpretation section of CS61A. If you are certain that you want to major or minor in Computer Science, CS 61A is the right introductory course. You can take CS 61A for credit after having taken CS 88. However, you cannot take CS 88 for credit after having taken CS 61A. Data 8 and CS 88 together satisfy the knowledge prerequisite for CS 61B.  It is recommended, but not required, that you are currently enrolled in or have taken Data 8. There is no formal programming-related prerequisite for CS 88. You do not need to be familiar with any particular programming language. The online textbook for the course is [Composing Programs](http://composingprograms.com/), which was created specifically for CS61A but is also the best basis for this course. Readings for each lecture appear in the course schedule. We will be jumping around a little due to the data-centric orientation of the course. You should complete the readings before attending lecture.

In addition, the course website and Piazza will contain additional links to guides, handouts, and practice materials available for the course.

CS 88: Computational Structures in Data Science

Data Structures and Algorithms