College application research evidence · understanding and original contribution · Seoul and online
Project courseThe student keeps the work and the record they made.
Open Match Data: Build a Shot and Pass Analysis App
Grades 9-12: football event data, question-led match...
Is Open Match Data: Build a Shot and Pass Analysis App a good fit for high school students in Grades 9-12?
Open Match Data: Build a Shot and Pass Analysis App is a good fit for students in grades 9-12 who want to learn football event data through question-led match analysis. CIT offers online or in-person lessons in Apgujeong, Gangnam, Seoul, in one-to-one or small-group formats. Students make a working project with tests, reflection, and a clear explanation. Course completion alone does not guarantee admission, an award, or a score.
Students use a working example to trace the research question behind football event data and how researchers use question-led match analysis to test it. Running a working example is only the starting point. First understand the questions university researchers ask in this field and how they test them. Then design and test a student-owned extension: a new question, feature, model, interface, or solution. In an application or interview, the student distinguishes 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 found the AI classes interesting and stayed with them. It made for a worthwhile school break. Thank you for teaching so attentively.
- Age group
- Grades 9-12
- Academic subject
- AI & DataBrowse 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
- Reviewed curriculum
From open research to student-owned work
Students inspect a relevant public source, reproduce the idea, then add an original question, feature, or test. Every source is public, and each lesson names the exact page it opens.
How can I explain this course to my child?
If questions about football event data or question-led match analysis keep making you ask why, Open Match Data: Build a Shot and Pass Analysis App lets you investigate the question with evidence, then build and defend an extension of your own.
Which interests suggest this course?
- football event data
- question-led match analysis
- reproducible dashboard evidence
What does the student finish?The student leaves with a working project with tests, reflection, and a clear explanation.
Is this a good fit?
A strong fit for students who want to understand, build, test, or responsibly use AI 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?
- Explain football event data in clear, age-appropriate language.
- Use question-led match analysis in a guided analysis or build.
- Compare evidence, test assumptions, and identify limits in reproducible dashboard evidence.
- Create a working project with tests, reflection, and a clear explanation. Document the student's own role and decisions.
How does the course progress?
- 1Build clear foundations in football event data
- 2Apply question-led match analysis in a guided task
- 3Compare evidence and review errors
- 4Explain a result using reproducible dashboard evidence
What counts as useful evidence?
A working project with tests, reflection, and a clear explanation.
What should an admissions reader be able to see?
Running a working example is only the starting point. First understand the questions university researchers ask in this field and how they test them. Then design and test a student-owned extension: a new question, feature, model, interface, or solution. In an application or interview, the student distinguishes the source research from their own decisions, results, failed attempts, revisions, and limits.
Useful evidence may include a documented dataset, baseline comparison, model evaluation, error analysis, and a clear record of the student's own decisions.
A university name, course title, or project source is not admissions evidence by itself. The student must explain what they understood and completed; no course guarantees admission.
The real research project this course reads
- hudl/open-data
- pinned commit
b0bc9f22dd77 - licence StatsBomb Open Data terms
- text files 8,979
The student decides what to count in public football records and sees that changing the definition changes the conclusion. In class the project is separated into five boxes (input, memory, process, output, control). The lesson opens one of them, changes one value, and leaves the rest closed.
- InputWhat comes in?
Choosing a match from the competition list and opening that match's event file
- Memoryopened hereWhat persists?
One match written down as a list of events. What counts as a pass, and where one event ends, is already decided here
- ProcessWhat transforms?
Counting and grouping events into metrics. This does not exist in the repository; the student writes it
- OutputWhat leaves, and who uses it?
The tables and charts that compare players and teams, built by the student
- ControlWhat decides when anything runs?
What decides which match is read again and when; it lives in the student's program
The files the lesson opens, by name. The course is not a walk through the repository; it opens a chosen few and says which.
One value moves and everything else stays. The right-hand column is the prediction written before the run, not a result; the work is reconciling the two.
On a narrow screen, swipe the picture sideways.
The universities and labs named here made the open projects this course reads. CIT designed the course independently; it is not an official, affiliated, or endorsed course.
Questions parents search before choosing this course
Is Open Match Data: Build a Shot and Pass Analysis App a good fit for high school students in Grades 9-12?
Open Match Data: Build a Shot and Pass Analysis App is a good fit for students in grades 9-12 who want to learn football event data through question-led match analysis. CIT offers online or in-person lessons in Apgujeong, Gangnam, Seoul, in one-to-one or small-group formats. Students make a working project with tests, reflection, and a clear explanation. Course completion alone does not guarantee admission, an award, or a score.
Can my child take Open Match Data: Build a Shot and Pass Analysis App 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 Open Match Data: Build a Shot and Pass Analysis App?
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 Open Match Data: Build a Shot and Pass Analysis App?
The main evidence is a working project with tests, reflection, and a clear explanation. Students also document decisions, tests, feedback, and limits in age-appropriate language.
How can Open Match Data: Build a Shot and Pass Analysis App show research understanding in a college application?
Running a working example is only the starting point. First understand the questions university researchers ask in this field and how they test them. Then design and test a student-owned extension: a new question, feature, model, interface, or solution. In an application or interview, the student distinguishes the source research from their own decisions, results, failed attempts, revisions, and limits. Useful evidence may include a documented dataset, baseline comparison, model evaluation, error analysis, and a clear record of the student's own decisions. A university name or course title never guarantees admission.
How are the schedule and tuition for Open Match Data: Build a Shot and Pass Analysis App 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.
I appreciated that a simple early idea was extended into an 'AI debate tool'. My child has always been interested in debate and social issues, so seeing that interest connect to the project makes me expect a more complete and distinctive result.
Choose the course after a readiness check
CIT can compare this course with nearby options by age, subject, and current preparation.