Academic subject guide
25 of these 49 Engineering 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 49 listed courses connected to engineering & robotics 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.
A strong fit for students interested in robotics, mechanical or electrical engineering, product design, and autonomous systems.
Readiness describes the material currently available, not a promised number of lessons.
Learning studio
If exploring robots that react to sensors or if-then rules makes you want to build instead of only watch or read, Smart Systems & Human Control lets you make, test, and improve something of your own.
View parent guideLesson-ready
If questions about LEGO buildings that react to light or graphing sensor readings keep making you ask why, AI + LEGO: Responsive Building Maker lets you investigate the question with evidence, then build and defend an extension of your own.
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If questions about robots that stop before obstacles or line-following color sensors keep making you ask why, AI + Robotics: Sensor Explorers lets you investigate the question with evidence, then build and defend an extension of your own.
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If questions about bias in AI classifiers or robots that follow rules keep making you ask why, AI Makers: Data, Decisions & Responsible Agents lets you investigate the question with evidence, then build and defend an extension of your own.
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If questions about wish sentences for an AI agent or how a gift makes someone feel keep making you ask why, Emotion System Design: Grades 3-5 lets you investigate the question with evidence, then build and defend an extension of your own.
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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.
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If questions about robots as computer systems or encrypted wireless messages keep making you ask why, RoboMaster AI Vision: Safe Robot Control lets you investigate the question with evidence, then build and defend an extension of your own.
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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.
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If questions about multi-sensor fusion or marker-based LEGO vision keep making you ask why, AI + LEGO: Intelligent Spatial Systems lets you investigate the question with evidence, then build and defend an extension of your own.
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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.
View parent guideLearning studio
If questions about software architecture for AI apps or fallback paths for LLM output keep making you ask why, High School AI Software: Step-by-Step Assistants lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
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If questions about how robots keep their balance or motor force in robot joints keep making you ask why, Caltech AMBER: Robot Balance Experiments lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
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If questions about humanoid robot safety or safe distances around people and obstacles keep making you ask why, Carnegie Mellon SPARK: Human-Shaped Robot Safety lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
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If questions about AI that predicts the next scene or prediction versus physics simulation keep making you ask why, Columbia AI: Predicting What Happens Next lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
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If questions about motion captured on video or material stiffness keep making you ask why, Columbia PhysTwin: Turning Video into a Virtual Model lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
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If questions about caregiving robots or a robot arm's reach keep making you ask why, Cornell RCareWorld: Safe Assistive Robots lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLearning studio
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.
View parent guideLesson-ready
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If questions about robot training data or dataset bias keep making you ask why, Georgia Tech MimicLabs: Creating Robot Practice Data lets you investigate the question with evidence, then build and defend an extension of your own.
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If questions about how robots locate themselves or uncertain sensor readings keep making you ask why, Georgia Tech: Robot Sensors and Position Finding lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
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If questions about drone obstacle avoidance or reinforcement learning keep making you ask why, Harvard AirLearning: Teaching Drones to Avoid Obstacles lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
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If questions about computing robot joint angles or route planning around obstacles keep making you ask why, MIT Drake: Robot Motion and Route Planning lets you investigate the question with evidence, then build and defend an extension of your own.
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If questions about how robot arms grasp objects or reading objects with a camera keep making you ask why, MIT Robot Arms: See, Grasp, and Plan lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
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If questions about balancing unstable robots or the physics rules behind motion keep making you ask why, MIT: How Unstable Robots Regain Balance lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
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If questions about the simulation-to-reality gap or tuning physics values keep making you ask why, Princeton AdaptSim: Closing the Simulation-to-Reality Gap lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
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If questions about household robot chores or tracking object states keep making you ask why, Stanford BEHAVIOR-1K: Teaching Household Tasks lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
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If questions about crash risk at intersections or safety rules for self-driving cars keep making you ask why, Stanford CARLO: Safe Intersection Experiments lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
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If questions about learning from human demonstrations or demonstration quality keep making you ask why, Stanford robomimic: Learning Robot Actions from Demonstrations lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
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If questions about robot arm grasping or what a robot's cameras see keep making you ask why, Stanford robosuite: How Robot Arms Pick Up Objects lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
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If questions about robots that learn from little practice or helpful human demonstrations keep making you ask why, UC Berkeley SERL: Learning with Less Practice Data lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
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If questions about training many robots at once or robot learning success rates keep making you ask why, UCSD ManiSkill: Teaching Many Simulated Robots at Once lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
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If questions about mobile robots with arms or how floor friction changes motion keep making you ask why, UIUC LeKiwi: Build and Test a Simulated Robot lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
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If questions about language-guided drones or maps built from camera views keep making you ask why, UPenn HALO: Finding Drone Targets from Language lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
If questions about light-sensor calibration or combining several sensors keep making you ask why, AI + LEGO: Multi-Sensor Architecture Lab lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
If questions about grid-map path planning or marker-based object detection keep making you ask why, AI + Robotics: Autonomous Systems Lab lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLearning studio
If questions about the mood a space creates or AI agents that build from a design table keep making you ask why, Emotion System Design: Grades 6-8 lets you investigate the question with evidence, then build and defend an extension of your own.
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If questions about how Python code runs step by step or fallbacks for wrong AI answers keep making you ask why, Python AI Systems Builder lets you investigate the question with evidence, then build and defend an extension of your own.
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If exploring triangles and squares or sturdy bridge shapes makes you want to build instead of only watch or read, Euclid Architecture Studio lets you make, test, and improve something of your own.
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If exploring battery and bulb circuits or door alarms makes you want to build instead of only watch or read, First Electric Circuits with Switches and Alarms lets you make, test, and improve something of your own.
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If exploring micro:bit boards and sensors or rules for counting steps makes you want to build instead of only watch or read, Micro:bit Wearable Technology lets you make, test, and improve something of your own.
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If exploring robot moves on a grid or left and right turns makes you want to build instead of only watch or read, Robot Math Odyssey lets you make, test, and improve something of your own.
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If exploring the electricity a city uses or solar power math makes you want to build instead of only watch or read, Count Energy Use and Make a Green City Blueprint lets you make, test, and improve something of your own.
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If questions about emotion words on a feelings map or the rise and fall of a story's mood keep making you ask why, Measuring Emotion: Grades 3-5 lets you investigate the question with evidence, then build and defend an extension of your own.
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If questions about screen color and brightness or the speed of music and motion keep making you ask why, Reading Emotion: Grades 3-5 lets you investigate the question with evidence, then build and defend an extension of your own.
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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.
View parent guidePlanned course
If you want to understand the important ideas behind material properties instead of memorizing answers, Cambridge IGCSE Design & Technology (0445) connects mechanisms and electronic circuits to exam-ready reasoning and a record of how you fixed mistakes.
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If questions about the eye's contrast sensitivity or image frequency filters keep making you ask why, Measuring Emotion: Grades 9-12 lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLearning studio
If questions about basic versus constructed emotion theories or rules on emotion-inference AI keep making you ask why, Reading Emotion: Grades 9-12 lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLearning studio
If questions about emotions written as coordinates or A/B tests of two screens keep making you ask why, Measuring Emotion: Grades 6-8 lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLearning studio
If questions about YouTube thumbnails and intros or the limits of emotion-recognition AI keep making you ask why, Reading Emotion: Grades 6-8 lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideClear the filters or choose another age group.
20 of these 49 Engineering 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.
Caltech-AMBER/ambersim
47a9c1848154intelligent-control-lab/spark
2823c9ef3a35WangYixuan12/interactive_world_sim
3ba69b41d070Jianghanxiao/PhysTwin
54106c6357e3empriselab/RCareWorld
ae0900be3e45GaTech-RL2/mimiclabs
0b81d7e8cc07gtbook/robotics
49315552e7f6harvard-edge/AirLearning
9ec5bab2bbecRobotLocomotion/drake
b07bab525ccbRussTedrake/manipulation
cdb8c90f402cRussTedrake/underactuated
26e9a5bbb5b9irom-princeton/AdaptSim
9cf80fb42687StanfordVL/BEHAVIOR-1K
78980ee463b9Stanford-ILIAD/CARLO
1dc7ebe4ca1fARISE-Initiative/robomimic
d309eaecc18aARISE-Initiative/robosuite
5ce6643f3092rail-berkeley/serl
1fa2af7496bemani-skill/ManiSkill
62ff3a5896b4SIGRobotics-UIUC/LeKiwi-sim
c3e38133450bKumarRobotics/HALO
eeb361ef02bcThe 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.
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. Useful evidence may include the research question the student understood, a feature and operator interface they designed, normal and failure tests, and a revision based on measured results. A bounded LLM component counts only when its data, authority, and human-approval limits are tested.
Use age as a starting point, then compare current knowledge, independence, and the work the student wants to sustain. This guide lists 49 listed options and their prerequisites.
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.
Depending on age and readiness, families can explore paths such as engineering projects, LEGO robotics, and autonomous systems. Only currently listed courses appear in the catalog.
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. Useful evidence may include the research question the student understood, a feature and operator interface they designed, normal and failure tests, and a revision based on measured results. A bounded LLM component counts only when its data, authority, and human-approval limits are tested. A university name tells a reader who published the original work; the student's own account is what carries the application.
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.