AP Computer Science Principles
Explore the big ideas of computing: creativity, abstraction, data, algorithms, programming, the internet, and impact.
Start here
Take the free AP CS Principles diagnostic
It finds what you already know and builds your study plan: the topics to clear first, each a short lesson plus an exit quiz.
Take the free diagnosticCourse Overview
This AP Computer Science Principles course on Study Mondo covers 10 topics organized across 5 categories. Each topic includes detailed written explanations, worked examples, practice problems with step-by-step solutions, flashcards for review, and interactive lessons to help you master the material.
What You'll Learn
Creative Development
Collaboration, program design, and iterative development
Data
Binary representation, data compression, and data analysis
Algorithms & Programming
Variables, control structures, procedures, lists, and algorithm efficiency
Computing Systems & Networks
The internet, protocols, fault tolerance, and cybersecurity
Impact of Computing
Digital divide, bias, crowdsourcing, legal/ethical issues, and safe computing
Start with any category below, or jump to a specific topic that you need help with.
Study tools
📚 Study schedules & cram guides
Pick the schedule that matches your timeline — from a 1-month build-up to a night-before review.
A focused 72-hour rescue plan when the exam is almost here.
~12 hours total study
One full week to lock in the highest-leverage topics and FRQ patterns.
~25 hours total study
A structured 4-week plan that builds mastery without burning out.
~60 hours total over 4 weeks
How to attack free-response questions and earn easy partial credit.
~3-4 hours of focused work
The night-before checklist: top formulas, common traps, and what NOT to do.
~45 minutes to skim
Explore Related Topics
Jump into high-impact topics and keep your study momentum moving.
Collaboration, program design, and iterative development
Binary representation, data compression, and data analysis
Variables, control structures, procedures, lists, and algorithm efficiency
Variables & Control Structures
Variables, data types, assignment, sequencing, selection (if/else), and iteration (loops)
Procedures & Lists
Procedures with parameters, return values, lists, list operations, and managing complexity
Algorithms
Algorithm design, efficiency, searching, sorting, and undecidable problems
The internet, protocols, fault tolerance, and cybersecurity
Digital divide, bias, crowdsourcing, legal/ethical issues, and safe computing