AP Computer Science Principles study guide
AP Computer Science Principles · Work through your exam, one topic at a time.
AP Computer Science Principles is an introductory college-level computing course and exam administered by the College Board. It is designed to be equivalent to a first-semester introductory college computing course for non-CS majors, which makes it a natural fit for students who want breadth across the field rather than the deep Java focus of AP Computer Science A. The AP Computer Science Principles study guide has 5 sections and about 1,609 words.
01Creative Development: Design, Collaboration, and Program Purpose
Big Idea 1 is about how programs get made, not just what they compute. You should be able to describe an iterative development process (investigate, design, prototype, test, refine), explain how collaboration and user feedback shape a program, and identify how a program's purpose and audience drive design choices.
341 words, about 2 min02Data: Representation, Compression, and Extraction
Big Idea 2 covers how data is stored, represented, compressed, and used. You must know that all digital data is binary, that bits are grouped into bytes (8 bits), and that numbers, text, images, and sound are encoded using agreed conventions.
327 words, about 2 min03Algorithms and Programming: Logic, Iteration, and Abstraction
Big Idea 3 is the largest programming domain. You must read and reason about algorithms expressed in pseudocode or a block-based language: sequencing, selection (if/else), and iteration (loops).
319 words, about 2 min04Computer Systems and Networks: Hardware, the Internet, and Security
Big Idea 4 covers how computers and networks operate. Know the roles of the CPU, memory (RAM), storage, and input/output devices, and the idea that programs and data are both stored in memory.
313 words, about 2 min05Impact of Computing: Benefits, Harms, and Responsible Use
Big Idea 5 asks you to evaluate computing's effects on society, economy, and culture. You should be able to identify benefits and harms of a technology, recognize bias in data and algorithms, discuss privacy and security trade-offs, and understand intellectual property (copyright, Creative Commons, open source) and the legal/ethical use of digital content.
309 words, about 2 min