ECAM LaSalle Mechanical and Electrical Engineering Programme
| General Data | ||||
|---|---|---|---|---|
| Academic program | ECAM LaSalle Mechanical and Electrical Engineering Programme | Module Manager(s) :
BARILLON Cristelle |
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| EC Type : Lectures | Introduction to AI (LIIEEng08EIntroAI) | |||
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Lab Work : 4h00 Lectures : 8h00 Total duration: 12h00 |
Status
|
Period
Semester 8 |
Teaching language :
English |
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| Learning Outcomes |
|---|
| Understand key concepts and basic mathematical techniques. Consider implementing AI projects in a professional context. The course is organized around four skills: ° Understand the data challenges associated with an AI project ° Know and differentiate between AI models ° Understand the concepts and use of LLMs ° Implement AI in projects |
| Content |
|---|
| * Key Concepts and Terminology – Applications – Ethics and environmental concerns * Data – Models (KNN – K-Means – Regressions – PCA – Decision Tree) * Deep Learning – LLM – Generative AI * Applications |
| Corequis |
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| Matrix algebra and calculus Probability and Statistics Algorithmic |
| Bibliographie |
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| - Artificial Intelligence: A Modern Approach, Stuart Russell and Peter Norvig (2020 Pearson) - the 100 page machine Learning Book, Andriy Burkov - Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow, Aurélien Geron (2019 - O Reilly) - Deep Learning With Python, François Chollet, (2021, Manning) |
| Assessment(s) | |||
|---|---|---|---|
| N° | Nature | Coefficient | Observable objectives |
| 1 | Written exam | 100 | 2h |