College application research evidence · understanding and original contribution · Seoul and online
Project courseThe student keeps the work and the record they made.
Measuring Emotion: Grades 9-12
Grades 9-12: the eye's contrast sensitivity, image...
Where this course comes fromThe universities and labs named here made the open projects or materials this course draws on. CIT designed the course independently; it is not an official, affiliated, or endorsed course of those institutions.
- Carnegie Mellon UniversityOpen research referenced
- Stanford UniversityOpen research referenced
- Free consultation and level check
- Apgujeong classroom or online
- One-to-one or small group
- Registered academy no. 11882
Is Measuring Emotion: Grades 9-12 a good fit for high school students in Grades 9-12?
Measuring Emotion: Grades 9-12 is a good fit for students in grades 9-12 who are interested in the eye's contrast sensitivity and image frequency filters. CIT offers online or in-person lessons in Apgujeong, Gangnam, Seoul, in one-to-one or small-group formats. Students make contrast tables with a sensitivity curve, image frequency plots with filter rules, and a first parameter-curve spec.
The course was designed from open research published by Carnegie Mellon and Stanford. Students in Grades 9-12 calculate Michelson contrast from screen brightness values to compare scenes, then use a four-point calculation to draw the contrast sensitivity curve, which shows the pattern widths the eye picks up most easily. A simulation of how a state such as fear shifts that curve and 2D Fourier magnitude plots of coarse and fine image components lead to a parameter-curve spec that sets color temperature, contrast, and pacing along a timeline. Emotional responses come only from ratings people give themselves; faces and voices are never measured. The student then designs and tests an extension of their own: a new question, feature, model, interface, or solution. In an application or interview, the student separates the source research from their own decisions, results, failed attempts, revisions, and limits.
Google sign-in is required. Existing account permissions determine access.
My child loved that the teacher explained things really well and made the lesson enjoyable. We are very glad too.
- Age group
- Grades 9-12
- Academic subject
- Engineering & Robotics, Mathematics & Statistics, Arts, Media & DesignBrowse subject
- Course type
- Course
- Format
- Online or Apgujeong in person · one-to-one or small group
- Teaching language
- Korean by default, with complete English materials
- Curriculum status
- Learning studioA structured learning studio with goals, deliverables, and follow-up work is available. Tutors confirm supporting materials before delivery.
From open research to student-owned work
Students inspect a relevant public source, reproduce the idea, then add an original question, feature, or test. The material this course reads was made at Carnegie Mellon University, Stanford University. Names identify the source, not affiliation or endorsement.
- Carnegie Mellon UniversityOpen research referenced
- Stanford UniversityOpen research referenced
How can I explain this course to my child?
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.
Which interests suggest this course?
- the eye's contrast sensitivity
- image frequency filters
- color and contrast curves over time
What does the student finish?Contrast tables with a sensitivity curve, image frequency plots with filter rules, and a first parameter-curve spec.
Is this a good fit?
A strong fit for students interested in robotics, mechanical or electrical engineering, product design, and autonomous systems.
Course placement follows current subject and coding readiness.
Students should be ready to document sources, methods, and limits.
Advanced tools are introduced after a clear baseline.
What will my child learn?
- Calculate Michelson contrast from brightness values, compare scenes, and form a hypothesis about the effect on emotion coordinates.
- Draw a contrast sensitivity curve and connect it to design decisions such as caption size and pattern width.
- Confirm with Fourier magnitude plots that a blur filter is low-pass and an edge filter is high-pass.
- Write a parameter-curve spec with notes on the intended emotional shift in each segment.
- Carnegie Mellon UniversityOpen research referenced
- Stanford UniversityOpen research referenced
How does the course progress?
- 1The Mathematics of Perception Lab
Contrast calculations, the contrast sensitivity curve, Fourier magnitude plots, and filter tests lead to a parameter-curve spec for an emotional arc.
What counts as useful evidence?
Contrast tables with a sensitivity curve, image frequency plots with filter rules, and a first parameter-curve spec.
What should an admissions reader be able to see?
The course was designed from open research published by Carnegie Mellon and Stanford. The student works out what those researchers were trying to learn, why the question matters, and how they tested it, then designs and tests an extension of their own: a new question, feature, model, interface, or solution. In an application or interview, the student separates the source research from their own decisions, results, failed attempts, revisions, 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.
These names identify who published the open project the course starts from. The evidence an application reads is what the student understood, completed, and can explain.
Which sources were reviewed?
Catalog reviewed: 2026-09-30
- Carnegie Mellon UniversityOpen research referenced
- Stanford UniversityOpen research referenced
Questions parents search before choosing this course
Is Measuring Emotion: Grades 9-12 a good fit for high school students in Grades 9-12?
Measuring Emotion: Grades 9-12 is a good fit for students in grades 9-12 who are interested in the eye's contrast sensitivity and image frequency filters. CIT offers online or in-person lessons in Apgujeong, Gangnam, Seoul, in one-to-one or small-group formats. Students make contrast tables with a sensitivity curve, image frequency plots with filter rules, and a first parameter-curve spec.
Can my child take Measuring Emotion: Grades 9-12 online or in person, one-to-one or in a small group?
Yes. CIT offers online and in-person lessons at its Apgujeong academy in Gangnam, Seoul, with one-to-one and small-group options. A readiness consultation confirms the available format and starting point for the course.
Does my child need prior subject knowledge or coding experience for Measuring Emotion: Grades 9-12?
Course placement follows current subject and coding readiness. Students should be ready to document sources, methods, and limits. Advanced tools are introduced after a clear baseline.
What will my child make or practice in Measuring Emotion: Grades 9-12?
The main evidence is contrast tables with a sensitivity curve, image frequency plots with filter rules, and a first parameter-curve spec. Students also document decisions, tests, feedback, and limits in age-appropriate language.
How can Measuring Emotion: Grades 9-12 show research understanding in a college application?
The course was designed from open research published by Carnegie Mellon and Stanford. The student works out what those researchers were trying to learn, why the question matters, and how they tested it, then designs and tests an extension of their own: a new question, feature, model, interface, or solution. In an application or interview, the student separates the source research from their own decisions, results, failed attempts, revisions, 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.
How are the schedule and tuition for Measuring Emotion: Grades 9-12 determined?
CIT confirms the student's readiness, goal, location, class size, and current availability before recommending a course plan. The consultation and level check are free; tuition is explained before enrollment.
When should a student start?
There is no fixed intake month. CIT reviews the student's current school term, readiness, and available hours, then names the point in the course where they should begin.
The teachers are always attentive and considerate, so we feel comfortable trusting them with our child.
Where else parents check CIT
Choose the course after a readiness check
CIT can compare this course with nearby options by age, subject, and current preparation.