Studying computer science at Cornell means Mohammed lives in Java — it's the language his program uses to teach data structures, algorithms, and the object-oriented thinking that AP CSA tests on every free-response question. He breaks down topics like array manipulation and recursive tracing by showing students how to read code the way he learned to: line by line, predicting exactly what happens at each step before running anything.

NYU's five-year CS program has Kevin writing Java from day one — not just toy exercises but full object-oriented projects with real class hierarchies, so AP CSA topics like inheritance, encapsulation, and array manipulation are things he's actively using, not just recalling from a textbook. He's the kind of tutor who over-explains on purpose, walking through every step of a recursive trace or loop iteration until the logic is genuinely clear rather than just plausible. Rated 4.8 by students.

Currently studying Computer Science and Data Science at NYU's Courant Institute, Diego writes code in C++, Python, and Java as part of his daily coursework — so AP CSA's object-oriented concepts like arrays, loops, and class structure are things he's actively using, not distantly remembering. His 34 ACT speaks to the kind of careful, detail-oriented thinking that pays off when students need to trace through recursive methods or debug free-response code on exam day.

The AP Computer Science A exam lives and dies on Java fundamentals: arrays, ArrayLists, loops, recursion, and object-oriented design with inheritance and polymorphism. David's daily immersion in computer science at UCLA — plus a software engineering internship at Adobe — means he can pinpoint exactly where a student's logic breaks down in a free-response problem and rebuild understanding from that point.

Most of the math Nikhil studies at NYU — proofs, logic, abstraction — is the same thinking Java demands when you're designing classes or tracing recursive calls, which gives him a natural entry point into AP CSA's trickiest material. He teaches students to reason through what their code should do before writing it, turning free-response problems into structured arguments rather than guesswork.

I'm a professional software engineer at a top tech company in New York City. I have a strong passion for software development, most notably in the areas of full-stack web development, iOS development, Artificial intelligence, large scale distributed systems, and micro services.

Neural engineering research at Barnard means Meghna writes code to solve real problems — and that computational thinking transfers directly to AP CSA's Java-heavy curriculum, where understanding how loops, conditionals, and object interactions fit together matters more than syntax memorization. She approaches topics like array manipulation and recursive methods the way she'd debug a research script: tracing logic step by step until the error reveals itself.

The AP Computer Science A exam tests Java fluency under pressure — recursion, inheritance, ArrayLists, and two-dimensional arrays all need to feel automatic by May. Kirollos unpacks each of these topics with the precision of someone who codes in Java regularly as part of his dual CS and Electrical Engineering program at NYU. He scored a 33 on the ACT, so he understands what it takes to perform on high-stakes standardized assessments.

I am a senior studying computer science at MIT. I have 5+ years experience teaching students through nonprofit organizations, private tutoring, and being a teaching assistant for MIT courses. I have experience teaching computer science, math, and SAT to students ranging from middle school to college. I hope to help students reach their goals and gain a love for learning.

I'm not tutoring or buried in my textbooks, you will either find me rock climbing at the Triangle Rock Club, playing Ultimate Frisbee, working on my car, or enjoying the great outdoors (beaches, mountains, forests--you name it, I love it). On rainy weekends I enjoy tinkering with computers and old electronics, playing Pokemon, or picking at my guitar.

I am an interdisciplinary educator with an Ed.M. from the Harvard Graduate School of Education and a B.A. from Dartmouth College. My background is primarily in integrated arts learning and museum education and I specialize in visual arts, history and art history, and object-based learning. In all subjects, I take a creative, inquiry-based and learner-centered approach, designing opportunities for each unique individual to meet their learning goals.

I am a recent graduate from a masters program in biostatistics at Columbia University. I received my Bachelor of Arts in biological sciences, with a focus in neurobiology at Northwestern University. In August, I will be starting a doctoral program in biostatistics at NYU. I was a teaching assistant at Columbia University in my department and also have tutored graduate students and undergraduates privately as well. My primary areas of tutoring are math and statistics coursework in addition to math sections on standardized tests such as the GRE and GMAT. I am very passionate about helping students feel more confident and excited about math. In my spare time, I enjoy running, playing piano, and spending time with friends and family.