Week - 1 |
Definition and history of the concept of artificial intelligence |
Week - 2 |
Basic concepts of artificial intelligence: intelligence, intelligent behavior, types of artificial intelligence |
Week - 3 |
The importance of artificial intelligence applications in daily life and industry |
Week - 4 |
Machine learning fundamentals, Supervised and unsupervised learning |
Week - 5 |
Machine learning algorithms: decision trees, K-nearest neighbors, support vector machines |
Week - 6 |
Deep learning and artificial neural networks, Convolutional neural networks and fully connected neural networks |
Week - 7 |
Deep learning applications: image classification, natural language processing |
Week - 8 |
Natural language processing and text classification |
Week - 9 |
Image processing and recognition |
Week - 10 |
Artificial intelligence application areas: healthcare, automotive, finance, education |
Week - 11 |
Artificial intelligence ethical principles and concerns, Data-driven decision making and ethical issues. Societal impacts and responsibilities of artificial intelligence technologies |
Week - 12 |
Security threats and vulnerabilities of artificial intelligence systems, Data privacy and security measures related to artificial intelligence, Artificial intelligence security solutions and applications |
Week - 13 |
Students develop projects using artificial intelligence techniques. |
Week - 14 |
Project presentations and evaluations |