Award-Winning AP Computer Science Principles Tutors
serving Raleigh, NC

Most AP CSP students get tripped up not by the coding but by the Big Idea questions that ask them to reason about how computing affects the world — privacy, bias in algorithms, digital divide issues. Susie pairs her Duke CS coursework with a genuine interest in the humanities side of tech, which means she can coach students through both the conceptual exam material and the written responses on the Create Task without defaulting to jargon.

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.

I am a graduate student at George Mason University studying Computer Science. I also graduated at Vanderbilt University, with Bachelors Degrees in Computer Science, Mathematics, and Philosophy. When a student does not understand a topic or concept, I believe the best way to teach it is to meet students where they are at, providing individually catered feedback, and exploring the aspects of a student's weaknesses, finding a way to explain the concept in a way that resonates with and makes sense to the student. I am most familiar with tutoring for the SAT, where I have generally increased scores by 120-300 points.

Kevin's Stanford Biocomputation research sits at the intersection of CS and biology, which means he can teach AP CSP's algorithmic thinking and data analysis concepts through real examples — like how machine learning models process biological datasets or how compression algorithms handle genomic sequences. He also brings hands-on Python and C++ fluency to the Create Task, coaching students through both the programming and the written explanation that the rubric demands. Rated 5.0 by students.

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.

Robotics engineering at WPI means Matthew writes code that has to actually control physical systems — sensors, motors, feedback loops — which gives him a practical lens on AP CSP's units on algorithms, abstraction, and data representation. He teaches the pseudocode reasoning behind exam questions by tying each concept back to how real machines process information. Rated 5.0 by students.

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, where clearly explaining your program matters as much as building it. Rated 4.8 by students.

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, breaking down how binary encoding and compression work at the circuit level so the logic sticks. His 36 ACT composite speaks to the kind of structured, analytical thinking he brings to Create Task coaching and exam prep.

Alliyah codes in Python, Java, JavaScript, and C++ as part of her computational science studies at Harvard, which means she can translate AP CSP's pseudocode questions into real programming logic students actually recognize. She's especially sharp on the data representation and algorithmic thinking Big Ideas, grounding them in the kind of hands-on projects — like web development and data structures work — that make abstract exam concepts tangible.

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.

Victoria's CS coursework at Washington University in St. Louis means she can ground AP CSP's abstract Big Ideas — like how abstraction layers simplify complex systems or why algorithms have different efficiencies — in actual programming experience across Java, Python, and C++. That real coding fluency is especially useful when students need to move from pseudocode on the exam to functional code in the Create Task. Rated 5.0 by students.

Kerr is currently building iOS apps and games as a CS major at Vanderbilt, which means the programming and design thinking in AP CSP's Create Task mirrors what he does every week. He teaches pseudocode logic and algorithm design by connecting them to real development decisions — like why a particular data structure speeds up a game or how abstraction keeps an app's codebase manageable. Rated 4.9 by students.

Giovanni's dual training in mathematics and computer science at Emory means he can teach the algorithmic thinking in AP CSP from both a coding perspective and a pure logic perspective — particularly useful when students hit pseudocode trace problems or need to reason through abstraction layers on the exam. He also brings hands-on experience in Java and Python, which gives him a practical toolkit for coaching students through the Create Task from initial design to final written response. Rated 5.0 by students.

Cindy doesn't come from a traditional CS background, but her 36 ACT and analytical training as a Harvard English student give her a sharp edge on AP CSP's most underestimated challenge: the written responses. The Create Task and exam both reward students who can explain computational ideas — abstraction, algorithms, data patterns — in clear, precise language, and that's exactly the skill set she brings to every session.

Payton is a Computer Science major at Texas A&M who codes in Python, C++, and Haskell — but AP CSP's exam cares more about pseudocode reasoning and explaining computational ideas in plain English than writing compilable programs. She teaches students to bridge that gap, translating real programming instincts into the kind of clear, structured responses the Create Task and multiple-choice questions actually reward. Rated 4.9 by students.