F1TG 4000 - Intensive Pre-Semester Bootcamp: AI Fundamentals

The bootcamp aims to refresh essential quantitative reasoning skills and to introduce key concepts in data, algorithms, machine learning and artificial intelligence. It is designed for students with no or limited background in math and in computing.

• Mathematical Refresher
• What probability means in everyday decision-making
• Conditional probability
• From probabilities to predictions
• False positives and false negatives
• A Soft Introduction to Computing
• From Analog to Digital Computers: A Journey
• The Turing Machine
• Computer Languages
• Data and Databases
• What is data: structured and unstructured information
• The Relational Model: A Prelude to Databases
• Common data sources
• Introduction to Artificial Intelligence and Machine Learning
• What is Artificial Intelligence (AI)?
• Historical evolution of AI
• Rule-based systems versus machine learning
• The idea of learning from data

Learning Outcomes

By the end of the bootcamp, students will be able to:

• Interpret basic quantitative information used in data-driven decision-making
• Understand foundational concepts in probability, statistics and uncertainty
• Explain how data can be transformed to predictions and decisions
• Distinguish between databases and machine learning models

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