Start from Stanford and Carnegie Mellon research, then build an independent Research project
Stanford
Carnegie Mellon
Colorado Boulder
University of Geneva
TU Delft
Wisconsin-Madison
8 of these 42 Research courses are built on open research and tools those labs published. Students work out what the researchers asked, how they tested it, and what the result cannot prove, then turn one part of it into a question of their own, build it, and explain that work in a college application or interview. Compare online and Apgujeong in-person lessons, one-to-one or small group, by readiness.
CIT currently lists 42 listed courses connected to research & portfolio for children and teens. Families can learn online or in person in Apgujeong, Gangnam, Seoul, in one-to-one or small-group formats, subject to course availability.
Courses by age and readiness
A strong fit for students preparing independent research, competitions, capstones, technical portfolios, or longer extracurricular work.
How to read curriculum readiness
Readiness describes the material currently available, not a promised number of lessons.
Lesson-ready
Every learning item includes the evidence, worked example, practical work, and tutor guidance required by CIT's lesson-ready standard.
Learning studio
A structured learning studio with goals, deliverables, and follow-up work is available. Tutors confirm supporting materials before delivery.
Curriculum plan
A sequenced course plan exists, but its dedicated learning studio is still being prepared.
Planned course
This subject is available for consultation, but a teachable lesson sequence is not yet published.
Competition entryPlacement by readinessBiology & Health, AI & Data
If you enjoy pushing through hard questions about sodium and sugar in sauces or reformulating recipes, Conrad Challenge Nutrition & AI Project helps you turn that interest into a solution you can test, revise, and explain as your own.
If questions about how DNA becomes protein or natural variation in living things keep making you ask why, Read Biology Data with Tables, Graphs, and AI lets you investigate the question with evidence, then build and defend an extension of your own.
If questions about DNA regulatory sequences or public genomics data keep making you ask why, Test a Research Question with Public Genomics Data lets you investigate the question with evidence, then build and defend an extension of your own.
If questions about gene activity data or differences between groups keep making you ask why, Compare and Explain Biology Data with Statistics lets you investigate the question with evidence, then build and defend an extension of your own.
If questions about biological pattern recognition or fair ways to test AI keep making you ask why, Build and Evaluate AI that Learns from Biology Data lets you investigate the question with evidence, then build and defend an extension of your own.
If questions about JavaScript web pages or biology data analysis keep making you ask why, School-Linked Open-Source Bio-Finance Research lets you investigate the question with evidence, then build and defend an extension of your own.
If questions about cell image analysis or protein structure AI keep making you ask why, Stanford, MIT & Columbia Open-Source Bio-Finance Research lets you investigate the question with evidence, then build and defend an extension of your own.
If questions about prices and exchange rates across countries or economic data analysis in Python keep making you ask why, Economics Data Science Portfolio lets you investigate the question with evidence, then build and defend an extension of your own.
If you enjoy pushing through hard questions about gesture recognition or why recognition models fail, Research Human-AI Interfaces for KSEF helps you turn that interest into a solution you can test, revise, and explain as your own.
If you enjoy pushing through hard questions about AI model implementation or AI for scientific research, IAI2O Preparation helps you turn that interest into a solution you can test, revise, and explain as your own.
If you enjoy pushing through hard questions about how neural networks learn or image classification errors, KOAI Preparation helps you turn that interest into a solution you can test, revise, and explain as your own.
If you enjoy pushing through hard questions about math derivations by hand or model training under contest rules, USAAIO Preparation helps you turn that interest into a solution you can test, revise, and explain as your own.
If questions about failure modes of multi-agent systems or statistics for AI evaluation keep making you ask why, High School AI Assistants: Build, Test, and Explain lets you investigate the question with evidence, then build and defend an extension of your own.
If questions about rebuilding match data from video or jersey number recognition keep making you ask why, Open Football Video: Rebuild Player, Number, and Position Data lets you investigate the question with evidence, then build and defend an extension of your own.
If questions about comparing player-tracking algorithms or ID switches in tracking keep making you ask why, Compare Player-Tracking Methods in Video lets you investigate the question with evidence, then build and defend an extension of your own.
If questions about expressed versus felt emotion in music or music dataset licensing keep making you ask why, AI + Music: Affective Computing Research lets you investigate the question with evidence, then build and defend an extension of your own.
If questions about YOLO versus marker detection or multi-frame object tracking keep making you ask why, AI + Robotics: Vision and Autonomy Research lets you investigate the question with evidence, then build and defend an extension of your own.
If questions about interpreting salary regression residuals or denominators in injury statistics keep making you ask why, AI + Sports: Data and Vision Research lets you investigate the question with evidence, then build and defend an extension of your own.
If questions about measurements from app development or operational definitions of concepts keep making you ask why, AP Research lets you investigate the question with evidence, then build and defend an extension of your own.
If questions about emotional design in interactive media or AI agents directed by specs keep making you ask why, Emotion System Design: Grades 9-12 lets you investigate the question with evidence, then build and defend an extension of your own.
If you enjoy pushing through hard questions about local issue data or public API integration, Congressional App Challenge 2026 helps you turn that interest into a solution you can test, revise, and explain as your own.
If questions about character controls and collisions or difficulty balance keep making you ask why, Game Development Project lets you investigate the question with evidence, then build and defend an extension of your own.
Start with a language you can already use for loops and functions. Across 12 lessons, turn a problem statement into a small model, test its boundaries, and explain why your solution works before moving to Silver.
Learn to define the state before writing a dynamic program and to choose a graph or range structure from the input constraints. These 20 Java/C++ lessons include reference comparisons, proof questions, homework checks and an independent practice mock.
Advanced algorithms are useful only when their assumptions hold. In 18 Java/C++ lessons, prove why decompositions and DP optimizations reduce work, build counterexamples when conditions change, and separate correctness evidence from timing and memory measurements.
Use Java or C++ to replace repeated work with prefix sums, ordered searches and graph traversals. The 16 lessons ask you to explain each method's conditions and compare your program with a simpler solution, not just pass the sample.
If you enjoy pushing through hard questions about experimental design or measurement data, KSEF Science & Engineering Research helps you turn that interest into a solution you can test, revise, and explain as your own.
If questions about open-source quantum simulation frameworks or how environments erase quantum oscillations keep making you ask why, Explore Quantum Physics with Computer Models lets you investigate the question with evidence, then build and defend an extension of your own.
If questions about qubit superposition or qubit motion on the Bloch sphere keep making you ask why, Quantum Physics Lab with Python lets you investigate the question with evidence, then build and defend an extension of your own.
If questions about the forces on a wing or wingtip vortices keep making you ask why, Aerodynamic Analysis: Compare Wing Designs and Flight Performance lets you investigate the question with evidence, then build and defend an extension of your own.
If questions about spacecraft attitude dynamics or feedback control toward a target keep making you ask why, Make a Spacecraft Hold Its Own Heading lets you investigate the question with evidence, then build and defend an extension of your own.
If questions about electromagnetic wave reflection or interference patterns between waves keep making you ask why, Electromagnetic Waves: Test Reflection and Interference lets you investigate the question with evidence, then build and defend an extension of your own.
If questions about thrust that changes over time or chamber pressure inside a motor keep making you ask why, Rocket Motor Internals: Compare Pressure and Thrust lets you investigate the question with evidence, then build and defend an extension of your own.
If questions about rocket stability or drag from fins and nose cones keep making you ask why, Fly a Rocket On Screen: Test the Physics of Flight lets you investigate the question with evidence, then build and defend an extension of your own.
If questions about planetary rover mobility or wheel slip on loose ground keep making you ask why, Physics Models: Compare Moon and Mars Rover Motion lets you investigate the question with evidence, then build and defend an extension of your own.
If questions about propellant mixture ratios or gas acceleration in a nozzle keep making you ask why, Combustion Analysis: Compare Fuel Conditions and Propulsion Performance lets you investigate the question with evidence, then build and defend an extension of your own.
If questions about weather effects on rocket trajectories or rocket motion in six degrees of freedom keep making you ask why, Python Flight Analysis: Compare Trajectory and Weather Uncertainty lets you investigate the question with evidence, then build and defend an extension of your own.
If questions about satellite orbits under gravity or small forces that disturb orbits keep making you ask why, Calculate Satellite Orbits and What Disturbs Them lets you investigate the question with evidence, then build and defend an extension of your own.
Ever wondered whether growth-mindset feedback changes the choice to retry after a mistake, why peer feedback gets so much attention in adolescence, or how the brain learns to revise a strategy? Social Brain Lab turns Stanford and Harvard research questions into privacy-safe behavioral experiments, data analysis, and a GitHub research record.
If you enjoy pushing through hard questions about program tracing or bit-string operations, ACSL Preparation helps you turn that interest into a solution you can test, revise, and explain as your own.
If questions about competing perspectives on one issue or the credibility of evidence keep making you ask why, AP Seminar lets you investigate the question with evidence, then build and defend an extension of your own.
If questions about research question design or source evaluation keep making you ask why, IB Extended Essay lets you investigate the question with evidence, then build and defend an extension of your own.
11 of these 42 Research courses open a public code repository in class. Each is pinned to a single commit so students see the same version every lesson; open the pinned version on a card to read it.
The preview cards are the images GitHub generates for each repository. CIT downloaded them on 2026-09-02. CIT is not affiliated with the people who publish these repositories and designed the courses separately. Usage terms differ by repository; each card copies what was recorded at review.
What should an admissions reader be able to see?
The student can explain what university researchers asked, how they tested it, and what their evidence cannot prove. The student then identifies the question, decision, result, and limit that belong to their own extension. Admissions value comes from sustained, student-owned work with verifiable evidence.
Questions parents search about Research courses
Which Research course is right for my child's age?
Use age as a starting point, then compare current knowledge, independence, and the work the student wants to sustain. This guide lists 42 listed options and their prerequisites.
Are Research classes available online or in person, one-to-one or in small groups?
Yes. CIT offers online and in-person lessons at its Apgujeong academy in Gangnam, Seoul, with one-to-one and small-group options. A free readiness consultation confirms availability for the selected course.
What Research learning paths can parents compare at CIT?
Depending on age and readiness, families can explore paths such as science competition preparation, high school portfolio, and capstone project. Only currently listed courses appear in the catalog.
How can a student show understanding of university Research research in a college application?
The student should explain the researchers' question, why it matters, how it was tested, and what the evidence cannot prove. Then the student should extend one method through an independent question and document their decisions, result, and limits. Admissions value comes from sustained, student-owned work with verifiable evidence. A university name tells a reader who published the original work; the student's own account is what carries the application.
How do parents check the schedule and tuition for Research courses?
CIT first reviews the student's goal, readiness, preferred location, class size, and current availability. The consultation and level check are free; the proposed schedule and tuition are explained before enrollment.