Award-Winning AP Computer Science Principles Tutors
serving Fremont, CA

Caltech's CS curriculum drills computational thinking at a level that makes AP CSP's big ideas — abstraction, algorithm design, data representation — feel like familiar territory for Brian. He teaches students to reason through pseudocode and explain their design choices in plain language, which is exactly what the Create Task and the multiple-choice exam reward. His 1580 SAT speaks to the kind of precise, analytical communication that carries across disciplines.

The AP CSP exam's multiple-choice section leans heavily on reading comprehension — interpreting pseudocode, parsing scenario descriptions, and eliminating wrong answers under time pressure. Dennis's communication background makes him unusually good at teaching students to slow down and decode what a question is actually asking before jumping to an answer. Rated 5.0 by students.

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 pseudocode logic and combinatorial reasoning come naturally when prepping students for both the multiple-choice exam and the Create Task.

Susanna codes in Java, Python, and MATLAB — but for AP CSP, she shifts gears from syntax to the bigger questions: how does data move across the internet, why does abstraction matter, and what makes an algorithm efficient? Her physics training at UC Berkeley means she's used to translating messy real-world problems into clean logical models, which is exactly the skill the Create Task and exam reward.

Intensely curious, I am interested in STEM subjects and the liberal arts. I tutor to help you reach your educational goals and because it's immensely gratifying to see my students succeed.

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 algorithmic thinking and pseudocode reasoning that drive the multiple-choice section — and coaches students through the Create Task with the structured planning habits that come from building real software projects.

Electrical engineering taught Jake to think in systems — how signals move, how data gets encoded, how layers of abstraction stack to make hardware and software talk to each other. That mindset maps directly onto AP CSP's trickiest material, from binary representation to internet protocols to algorithm tracing in pseudocode. He also teaches across five programming languages, so the Create Task's coding component comes naturally.

Studying Computer Science at UNC Chapel Hill, Jack brings hands-on programming experience in Java and C to a course where most students are writing their first real program for the Create Task. He digs into the pseudocode logic and algorithm design questions that trip up students on the multiple-choice section, connecting them back to actual coding patterns so the reasoning clicks. Rated 4.7 by students.

Computer engineering majors live inside the concepts AP CSP tests — binary representation, how the internet's layers talk to each other, the way abstraction turns messy problems into clean designs. Alfred studies exactly this at URI, so he can ground pseudocode questions and Create Task planning in the real engineering systems he's building in his own coursework. Rated 5.0 by students.

Studying both neuroscience and computer science at Duke means Ankit lives at the intersection AP CSP actually tests — how computing shapes real-world systems, from brain imaging pipelines to cybersecurity ethics. He digs into the algorithmic thinking and data representation questions that trip students up on the multiple-choice section, and coaches the Create Task from initial planning through the written response. Rated 4.8 by students.

Lance studied both theoretical mathematics and computer science as an undergraduate before entering medical school, which means he's written real code in Java, C, and SQL — not just traced pseudocode on a worksheet. That practical depth lets him teach AP CSP's algorithmic thinking and abstraction concepts through actual programming logic, giving students a clearer mental model when they hit the Create Task or encounter unfamiliar algorithm-tracing questions on the exam.

Teaching discrete math at Penn means Keenan spends his weeks translating abstract computational thinking into language undergraduates actually absorb — a skill that maps directly onto AP CSP's pseudocode reasoning and algorithm analysis questions. His philosophy degree also gives him an unusual edge on the exam's societal-impact questions, where students need to construct clear written arguments about data privacy, bias in algorithms, and computing ethics. Rated 5.0 by students.

I am a current student at the University of Michigan. I am studying molecular biology in the school of literature, science, and the arts. I will graduate in 2025. I am most passionate about teaching SAT test material, because that was an area that I focused on and improved my own score to reach my goals. I am excited to teach both the english and the math sections. I teach using extensive practice problems and practice tests, because that is what helped me learn best and improve my relevant skills. In my spare time I like to workout, swim at the beach, and surf. I would love to work with you to achieve your goals!

Irene's PhD in Mathematics and Computer Science means she understands the computational thinking that underpins AP CSP — not just the vocabulary, but the discrete math and logic behind how algorithms work and why abstraction matters. She unpacks pseudocode problems by connecting them to the mathematical structures students rarely see in a survey course, which makes exam questions feel less like guesswork.