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Computer Science

Computer Science

For CS students who want to master algorithms and modern development practices.

Term Fall 2025
Classes 11 total
Schedule Thursdays 6:00PM - 8:00PM
Cost $660/term ($60/class)
Computer Science

Computer Science

For CS students who want to master algorithms and modern development practices.

  • checkmark Fundamental data structures and algorithms
  • checkmark Modern development tools and practices
  • checkmark Contest preparation (CCC, Leetcode)

Fall Term 2025 (11 weekly classes)

Thursdays 6:00PM - 8:00PM

October 9 - December 18, 2025

$660/term ($60/class)

About this course

The computer science program is designed for secondary students of any grade, as long as they have a basic grounding in Python programming (or a similar language). We will not be covering the absolute basics from scratch in this section. We will assume that students have a basic understanding of the following concepts:

  • Variables and data types
  • Control flow
  • Functions
  • Lists and dictionaries

Format

Each week will consist of an in-person 2 hour session, which will divided into a lecture and a lab. The lecture will cover a specific topic in depth, and the lab will be used to collaboratively code review student solutions to the weekly problem set.

The weekly problem set will consist of approximately 3 problems, which exercise the weekly topic in depth. Students are encouraged to work on the problems during the week, and commit their solutions to their GitHub repository. Instructors can provide mid-week support in the community Discord server.

No special supplies are required for the course. The classroom is fully equipped with development computers, perhipherals, etc. We will require a GitHub account, but this can be created for free during the first class.

Topics covered

Data Structures

Data Structures

We will cover in depth the fundamental data structures used in competitive programming, including linked lists, stacks, queues, graphs, heaps, and trees.

Algorithms

Algorithms

The analysis and implementation of algorithms is the core focus of this course, and serves as a foundation for all other specializations in computer science. In-depth topics like recursion, state machines, dynamic programming, and graph algorithms will serve as a foundation for virtually all advanced topics in other courses.

Version Control

Version Control

All development will be done with industry-standard workflows for version control and continuous integration. The collaboration model we will use can be carried forward to other projects, university work, and industry.

Testing

Testing

Well-specified problems such as those in competitive programming are a perfect environment for test-driven development. We will equip students with a testing framework that allows them to write specifications and verify correctness with a high degree of confidence.

Debugging

Debugging

Many of the topics and problems we cover will be among the most intricate pieces of code high school students will have written up to this point. Debugging techniques including breakpoints, tracing, and profiling will be essential to taming this new level of complexity.

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Please ensure you've read through our Terms of Service and Policies before enrolling.