AI_for_school_students

Exams and Quizzes

This section outlines the structure and content of exams and quizzes that will be administered throughout the course to assess students’ understanding and mastery of the material covered.

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Assignment

• Create a prototype application

• Create a project based on data visualization using Python (Matplotlib, Seaborn, Plotly, etc.) or R (ggplot2, Shiny, etc.).

Datasets

You can use any dataset of your choice. Here are some suggestions:

• Polity dataset
• Gapminder dataset
• UCI machine learning repository

## Report

• Write a cogent report on your project. The report should include a narrative that explains the insights derived from the project and visualizations.

• A prototype

Hints & quick checklist

• Start with a clear scenario and a paper prototype before coding.
• Keep scope small: a single, well-polished interaction beats many half-built features.
• Prioritize explainability and uncertainty over fancy visuals.
• Test early with real people and iterate.

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