Award-Winning High School Computer Science Tutors
serving Long Beach, CA

Milan's CS degree means he can teach high school programming concepts — variables, control flow, object-oriented basics — with a real understanding of what's happening under the hood, not just pattern-matching syntax from a textbook. His English double major also sharpens how he explains things: he's practiced at making technical ideas readable and clear, which matters when a student is staring at a block of code that makes no sense yet.

The jump from "using computers" to "thinking computationally" trips up a lot of high schoolers, especially when loops and conditionals first appear. Dennis breaks programming logic into small, testable pieces so students build confidence writing their own code instead of copying examples. He holds a 5.0 client rating.

The jump from using a computer to thinking computationally is where most high school CS students struggle. Sarah's training in physics and math gave her deep practice in the kind of logical decomposition that makes loops, conditionals, and basic data structures click rather than feel arbitrary.

High school CS courses often jump between block-based logic, basic programming, and conceptual topics like binary and networking without much connective tissue. John ties those pieces together by showing how each concept feeds into real software — an approach that makes AP-level material and IB coursework feel less scattered. His CS degree means he can go as deep as a student needs.

Starting out in computer science can feel overwhelming when every assignment introduces new vocabulary — variables, loops, conditionals, functions — all at once. Evan slows that down by building each concept through small, working programs students write themselves, so they see exactly what each line of code does before moving on. His experience teaching across C, C++, and Java means he can match explanations to whatever language the course uses.

High school CS courses often jump quickly from basic syntax to projects involving loops, arrays, and object-oriented design — and that's where students get lost. Jeff breaks down each programming concept into its logical components, showing how a for-loop actually iterates or why a function needs a return statement, so the code starts making sense instead of feeling like memorized spells.

Between AP Computer Science A prep and general programming fundamentals, Clive covers the full scope of what high school CS courses demand — from writing clean loops and conditionals to understanding recursion and sorting algorithms. He codes in multiple languages and adapts explanations to whatever environment a student's class uses. His approach is to build each concept through small, testable programs so students can see results immediately.

High school CS often feels like it's caught between "learn to code" and actual computer science — sorting algorithms, Boolean logic, basic data structures. Daniel bridges that gap by connecting introductory programming concepts to the real engineering decisions he makes as a working developer. His applied math background also means he can reinforce the mathematical reasoning that underpins CS.

High school CS often moves fast from basic control flow to more intimidating topics like recursion, sorting algorithms, and array manipulation. Ignacio breaks these down using Java and Python examples that build intuition step by step, drawing on both his UChicago training and his current graduate-level CS work at DePaul.

I am Chad Bergman, a current Dartmouth student pursuing my Bachelor's in Economics with a physics minor. I have experience tutoring college economics in person on Dartmouth campus as well as online tutoring in high school calculus and physics. I've had great success on the SAT and ACT as well as my AP tests in high school, and I hope to help others succeed as well. My favorite subject to tutor is physics because I feel like learning to apply a few fundamental principles to different real world situations is extremely useful in any discipline. While tutoring I try to help students master the fundamentals so they can apply them to the material we're working on as well as future material. Outside academia, I help look after my four siblings and play more League of Legends online than is perhaps healthy.

High school CS courses often move fast from basic control flow to more complex topics like arrays, sorting algorithms, and introductory object-oriented programming. Noah's computer science degree from Duke means he can explain why a for-loop works the way it does, not just show the syntax. He adjusts his explanations based on whether a student thinks visually, logically, or learns best by building small projects.

Starting computer science can feel overwhelming when variables, loops, and conditionals all hit at once. Wesley eases that learning curve by teaching each concept as a building block, drawing on the systematic problem-solving approach he developed across two engineering degrees. Rated 4.7 by students, he's particularly effective at making that first semester of coding feel manageable.

That first encounter with loops, conditionals, and arrays can feel overwhelming — but it's really an exercise in precise logical thinking. Calin studied both mathematics and computer science formally, so he connects programming concepts to the kind of step-by-step reasoning students already use in algebra and geometry. He's especially effective at making abstract ideas like functions and scope concrete through hands-on coding examples.

For students encountering loops, conditionals, and arrays for the first time, the leap from "I followed the example" to "I can solve a new problem" is the hardest part. Anna bridges that gap by teaching structured problem decomposition — breaking a coding challenge into smaller logical steps before writing a single line. Her background spans multiple programming languages, so she adapts explanations to whatever language the course uses.

That first real programming class can feel overwhelming when you're staring at a screen full of syntax errors with no idea where to start debugging. Kevin breaks down foundational concepts like loops, conditionals, and arrays with enough detail that students learn to read their own code critically. His patience with beginners stands out — he'd rather over-explain than leave a gap.