Award-Winning AP Computer Science Principles Tutors
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Award-Winning AP Computer Science Principles Tutors serving Seattle, WA

Certified Tutor
6+ years
Samuel
Samuel's applied math training at Caltech intersects directly with AP CSP's algorithm and data units — he can trace how a sorting algorithm's efficiency scales or why lossy compression works because he uses that math daily. He also taught a discrete mathematics course through PACT, which means pseud...
California Institute of Technology
Bachelor of Science, Applied Mathematics

Certified Tutor
5+ years
Benjamin
Benjamin's finance and economics training at Notre Dame meant constant work with data modeling, algorithmic thinking, and spreadsheet automation — skills that map directly onto AP CSP's units on data analysis, abstraction, and the impact of computing. He approaches the Create Task like a business ca...
University of Notre Dame
Bachelor of Science in Finance and Economics (minor: Innovation and Entrepreneurship)

Certified Tutor
9+ years
Daniel
Daniel's biomedical engineering coursework at Rice means he writes algorithms to process real biological data — exactly the kind of computational thinking AP CSP tests through its Big Ideas on data analysis and abstraction. He brings that applied perspective to the Create Task, coaching students to ...
Rice University
Current Undergrad Student, Biomedical Engineering

Certified Tutor
9+ years
Isabella
Having TA'd computer science courses at MIT and now pursuing a PhD in Operations Research at Georgia Tech, Isabella brings real programming fluency — particularly in Python — to the algorithmic thinking and data analysis threads that run through AP CSP. She digs into how pseudocode on the exam maps ...
Massachusetts Institute of Technology
Bachelor of Science in Mathematics (minors in Management Science and Ancient and Medieval Studies)
Georgia Institute of Technology-Main Campus
Current Grad Student, Operations Research

Certified Tutor
9+ years
David
Cognitive science training at Stanford gave David an unusual lens for AP CSP — he studied how humans process information before studying how computers do, which means he can explain abstraction, algorithms, and data representation in terms that actually click. His experience teaching web and app dev...
Stanford University
Master of Science, Computer Science
Stanford University
Bachelor of Science, Cognitive Science
Stanford University
BS in Cognitive Science

Certified Tutor
9+ years
Daniel
Daniel's electrical engineering coursework at Vanderbilt means he writes actual code in Java and works with hardware-software interfaces daily — background that makes the pseudocode and abstraction concepts in AP CSP click faster for students. He zeroes in on algorithm design and data representation...
Vanderbilt University
Bachelor of Engineering, Electrical Engineering

Certified Tutor
8+ years
Pratik
Pratik doesn't come from a traditional CS background, but his premed training at Cornell — where he regularly works with data sets, statistical models, and logical reasoning — maps directly onto the computational thinking AP CSP tests. He's especially effective at breaking down the data analysis and...
Cornell University
Bachelor in Arts, Biology, General

Certified Tutor
6+ years
Julia
Stanford's economics curriculum leans heavily on data analysis and programming — skills that map directly onto AP CSP's units on data representation, algorithms, and computational thinking. Julia applies that quantitative training to demystify pseudocode logic and the Create Task's written responses...
Stanford University
Bachelor of Science, Economics

Certified Tutor
9+ years
Derek
Derek scored 5s on both AP Computer Science A and AP Physics C while taking 16 APs at the high school level, so he knows how to manage the breadth of a course like AP CSP without letting any Big Idea slip through the cracks. Now studying CS at Harvard with an applied math minor, he digs into the alg...
Harvard University
Bachelor in Arts, Computer Science

Certified Tutor
6+ years
Ronit
Ronit studies computer science at Yale and knows AP CSP's curriculum from the student side — which Big Ideas actually trip people up on the multiple-choice and where the Create Task rubric quietly punishes vague written responses. He digs into the explanatory writing piece that most students underes...
Yale University
Bachelor of Science, Computer Science
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Frequently Asked Questions
AP Computer Science Principles covers five big ideas: creative development (designing programs and apps), data (collecting, processing, and visualizing information), algorithms (solving problems through step-by-step procedures), programming (writing code to implement solutions), and the internet (how systems communicate and share data). The course emphasizes computational thinking and real-world applications rather than focusing on a single programming language, making it accessible to students with varying technical backgrounds.
The AP CSP exam consists of two components: a multiple-choice section (70% of your score) with approximately 70 questions covering all five big ideas, and a through-course assessment (30% of your score) that includes a Create Task where you design and code a program, and an Explore Task analyzing an existing computing innovation. Success requires both understanding core concepts and demonstrating practical programming skills, so balanced preparation across both areas is essential.
Many students struggle with translating conceptual understanding of algorithms into actual code, especially if they're new to programming. Others find the Create Task intimidating because it requires both technical execution and clear written explanations of their design choices. Additionally, the breadth of topics—from binary representation to cybersecurity to data ethics—can feel overwhelming without a structured study plan that connects concepts rather than treating them in isolation.
Score improvement depends on your starting point and how consistently you engage with tutoring. Students who work with a tutor to identify weak areas, practice multiple-choice strategies, and refine their Create Task projects typically see meaningful gains—often 1-2 points on the 1-5 scale. The most significant improvements come from regular practice, targeted feedback on your code and explanations, and building confidence in both the conceptual and practical aspects of the course.
A tutor can guide you through the entire Create Task process: brainstorming a meaningful program idea, breaking it into manageable components, writing clean and functional code, and crafting clear written explanations of your algorithm and design decisions. They can also provide feedback on whether your program meets the AP rubric requirements and help you articulate the purpose, function, and impact of your work—all critical elements that scorers evaluate.
Most students benefit from consistent weekly tutoring sessions starting 2-3 months before the exam, combined with independent practice between sessions. Plan to spend 5-7 hours per week total on the course during this period, including time coding, reviewing practice multiple-choice questions, and working on your Create Task. Starting earlier if you're new to programming allows you to build foundational skills without feeling rushed as the exam approaches.
Look for tutors who have strong programming experience, understand the AP CSP curriculum and exam format, and ideally have experience helping students with the Create Task and Explore Task components. Tutors should be able to explain concepts clearly, provide constructive code review, and help you develop problem-solving strategies rather than just giving you answers. Experience teaching or tutoring computer science at the high school level is a valuable indicator of expertise.
Your first session will typically focus on assessing your current programming skills, understanding your goals, and identifying which topics or tasks feel most challenging. The tutor will likely discuss the exam format, walk through what a strong Create Task looks like, and help you develop a personalized study plan. This is also a great time to ask questions about the course structure and get clarity on any concepts that have been confusing in class.
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