Schoolhouse.world: peer tutoring, for free.
Schoolhouse.world: peer tutoring, for free.
Schoolhouse.world: peer tutoring, for free.
How to Solve Problems Using Basic Algorithms

SAT Score Range

1 session

This series was cancelled by the tutor on January 26, 2026. We're very sorry–you can explore more Computer Science series here. All 1:1 and group chats related to this series are disabled 7 days after the last session.

About

In this series, we will learn how to approach and solve programming problems step by step.
We will practice breaking problems down and applying simple algorithmic ideas.
All examples will be implemented in C++, but no prior algorithm experience is required.

Tutored by

Changhoon K 🇰🇷

Certified in 1 topic

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Hi! I’m a high school student who is passionate about math and computer science. I enjoy problem-solving, coding, and exploring how algorithms can be applied to real-world challenges. I’m joining Schoolhouse to share my knowledge, help other students build confidence in these subjects, and learn from the global community along the way. My goal is to make math and computer science more approachable and enjoyable for everyone.

Sessions

✋ ATTENDANCE POLICY

• Learners are expected to join on time and stay for the full session, as each lesson builds on concepts introduced earlier.

• If a learner expects to be late or needs to leave early, they should notify the instructor in the chat at the start of the session.

• Active participation is encouraged, especially during problem-solving and code walkthroughs.

• Learners who miss two consecutive sessions without notice may be withdrawn from the series to maintain a productive learning environment.

• Occasional absences are understandable, but learners are responsible for reviewing missed material before the next session.

SESSION 1

26

Jan

SESSION 1

Computer Science

Computer Science

Mon 3:00 AM - 4:00 AM UTCJan 26, 3:00 AM - 4:00 AM UTC

This session will cover the concept of recursion.

Public Discussion

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Jan 26

1 week

60 mins

/ session

SCHEDULE

Monday, Jan 26

3:00AM