AP CSP Complete Course | 2025-2026 | APCSExamPrep.com
AP Computer Science Principles — The Full Course
Everything you need to go from zero to exam-ready — whether you're a student without a great class or a teacher building your curriculum. All 5 Big Ideas, Python coding labs, Create Task prep, and 70-MCQ practice.
Free to start • Big Idea 1 open access • Full course resources in the AP CSP Superpack
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Recommended Course Sequence
This course follows the official College Board Big Idea order (1–5), which is also the best pedagogical sequence. BI2 grounds data concepts before students write code in BI3, and BI4–5 serve as conceptual cooldowns after the Create Task.
Dev
★ Most time
Task
Networks
Computing
Course map
All 5 Big Ideas + Create Task
Click any Big Idea to see lessons, coding labs, and practice.
Creative Development
How programs are designed, built, and refined. Covers the iterative development process, collaboration, testing, debugging, and documentation. Good starting point — no coding background needed.
Data
How computers represent, store, compress, and analyze data. Covers binary, compression (lossless vs. lossy), extracting information from datasets, visualizing data, and the privacy implications of metadata.
Algorithms & Programming
The most important and most tested Big Idea. Covers variables, conditionals, loops, lists, procedures, and algorithms in AP pseudocode — plus Python coding labs for hands-on practice and Create Task prep.
Create Performance Task
The Create Task is submitted before the exam and counts as 30% of your score, more than any single Big Idea. Build your program in a live Python, JavaScript, or Java sandbox, run it, and check it against all six required elements before you submit.
Computer Systems & Networks
How computers communicate and how the internet works. Covers the structure of the internet, how data travels in packets using protocols, fault tolerance in networks, and parallel and distributed computing.
Impact of Computing
The real-world effects of computing on society, economy, and culture. Covers computing innovations, the digital divide, algorithmic bias, legal and ethical issues, and safe computing practices.
Pacing
Two Pacing Options
CSP content runs slightly more than a semester but less than a full year. Plan accordingly.
📅 Full-Year Pacing (36 weeks)
For schools running CSP as a full-year course. Includes buffer for projects, review, and Create Task.
⚡ Semester Pacing (18 weeks)
Compressed but doable. BI1 is trimmed most aggressively. BI3 still gets priority time.
AP CSP Teacher Superpack
Everything a teacher needs to run AP CSP — or a student needs to self-study the entire course. Editable slides, lesson plans, student guides, tests with answer keys, and both pacing guides.
How it works
How to Use This Course
Whether you're a teacher building your curriculum or a student without a great class, here's the play.
Follow the sequence
Start with BI1 to build vocabulary, then go deep into BI3 — the highest-weight Big Idea by far.
Code in every BI3 lesson
Each BI3 lesson has an embedded Python (or JS) coding lab. Run code right in the browser — no setup.
Practice MCQs as you go
Every lesson ends with 3–5 exam-style questions. Don't skip — this is where exam fluency is built.
Build the Create Task after BI3
The CPT module walks you through every rubric row. Start your program before finishing the full course.
Get in Touch
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