Course: Introduction to Artificial Intelligence
Master 2: Software Engineering and Distributed Systems & Artificial Intelligence and Big Data
Preview Exam Papers (Consultation)
Sunday 28/01/2024
M1 - AIBD: 9-10am (Salle 13)
M2 - GLSD: 10-11am (Salle 13)
Final Grades
M2 - GLSD
https://drive.google.com/file/d/1PVUbL60kDMp3PTLJ9f0mVANoJstIYsl0/view?usp=sharing
M1 - AIBD
https://drive.google.com/file/d/140cSvIuO1P15iQY29l4ke2-P_voIFPGw/view?usp=sharing
Course Material
Final Exam - Corrected version
M2 - GLSD
https://drive.google.com/file/d/1vgUjOzUoHvhl1-Yzhs-BctmltxaIiTR0/view?usp=sharing
M1 - AIBD
https://drive.google.com/file/d/14jBnJjbcKosj3G9vHnUO5k5x-dJNur7C/view?usp=sharing
Graded assessments
https://drive.google.com/file/d/1oadSwofZWyP7PzRaqVSd2diPC8QwP3g1/view?usp=sharing
TD - Grades: M2 - GLSD
https://drive.google.com/file/d/1watPiIBKFUbtK0I7x_Zwov_VFeJvjJmZ/view?usp=sharing
TD - Grades: M1 - AIBD
https://drive.google.com/file/d/1gHkkgPLgJwVXX8KUnRfcwwtvhZZnZsXJ/view?usp=sharing
Course content (Master GLSD & AIBD)
English version:
- Chapter 1: AI & Intelligent Agents
Text version
https://drive.google.com/file/d/19sfGGGYpH42YncaygUhSswUbUAS-Xwd0/view?usp=sharing
.ppt version
https://drive.google.com/file/d/1xP6H-7p7r-bCkxBYJKsUi6expTEFXOct/view?usp=sharing
- Chapter 2: Problem-Solving
.ppt version
https://drive.google.com/file/d/1EEJ_l8y6N-P6hVWAXolNJhbPEs2Z5sUR/view?usp=sharing
- Chapter 3: Constraints Satisfaction Problems
.ppt version
https://drive.google.com/file/d/1GX4RpMyLTCgtS8TmtD-bBjTAT-dIxnd1/view?usp=sharing
- Chapter 4: Machine Learning and Classification
.ppt version
https://drive.google.com/file/d/1tE0CdxxwxAQ3Nh53C4-41I7S3Do5S9sf/view?usp=sharing
Old version (fr)
- Chapitre 1: Agents intelligents
https://drive.google.com/file/d/16t06Y6C7fLw3HxTX_2ZfgKGD94EzmSYX/view?usp=sharing
- Chapitre 2 : Algorithmes de recherche
https://drive.google.com/file/d/1hIbiKf_Hz5NEX3R2GuZArszm7CA5rni2/view?usp=sharing
- Chapitre 3 : Apprentissage automatique
https://drive.google.com/file/d/1bPv4T3bXL6o38AbWbmH-awMg0gd0HpkM/view?usp=sharing
- Chapitre 3 (Suite): Algorithme d'apprentissage par rétropropagation
https://drive.google.com/file/d/1mnHPThYP9AZKsJK4hf_GKv2u186IHrEz/view?usp=sharing
- Vidéo dernier cours (Réseaux de neurones artificiels)
https://drive.google.com/file/d/1nfpdw96PW7EQOHRx6PHvO8p1BvcbRdLR/view?usp=sharing
- Chapitre 4 : Classification automatique
https://drive.google.com/file/d/1savlEO7-61_7AUdsxXK2Egvc6J7TcGqG/view?usp=sharing
- Chapitre 5 : Traitement automatique du langage naturel
https://drive.google.com/file/d/1C9RvlYfwUMrnqVB520vKMq2h8eOYzLze/view?usp=sharing
- Exemples TALN Python :
https://drive.google.com/file/d/1YQrEBFEAc8OL9TRueqpHcj1ft63i0ZFY/view?usp=sharing
