Foundations of AI and CS

5-6 weeks

Representation & ReasoningPerception

Overview

This unit introduces students to the fundamentals of artificial intelligence, computer science, and machine learning. Students will learn what AI is, how data is represented, and build their first predictive models using decision trees. They will gain hands-on experience with Python, Jupyter Notebooks, and scikit-learn while beginning to reason about AI as both a technical and sociotechnical phenomenon.

Learning Objectives

1
Define AI, distinguish narrow from general AI, and identify AI applications in the real world.
2
Represent real-world information as structured data and engineer features for machine learning.
3
Build, train, and evaluate simple decision tree classifiers.
4
Reason about model performance, overfitting, and the role of data quality.
5
Consider ethical implications of AI systems, including bias and fairness.

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