Artificial Intelligence in Mechanical Engineering

by Marc BUFFAT, dpt Mécanique, Université Lyon 1[1]

Part I Course content

• 1. Initial reflexion
• 2. Introduction and E-book content
• 3. General Introduction
• 4. Minimization methods
• 5. Algorithms for AI/ML
• 6. Implementation of IA/ML
• 7. Time series analysis with AI/ML
• 8. Software and hardware for AI/ML Computing
• 9. Introduction to PyTorch
• 10. Physics-Informed Neural Network (PINN)

Part II Practical works

• 1. Practical work: Character recognition using scikit-learn
• 2. Practical work: Multi-dimensional minimization

Annexe

• 1. References

(C) Marc BUFFAT, 2024

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[1]

cours de M2 MAM en master Mécanique