| Hafta | Teori Konu Başlıkları |
|---|---|
| 1 | Introduction to AI |
| 2 | Intelligent Agents and Problem-solving |
| 3 | Introduction to Machine Learning: Learning from Data |
| 4 | Supervised Learning: Regression & Classification |
| 5 | Model Evaluation and Generalization |
| 6 | Probabilistic AI and Bayesian Inference |
| 7 | Midterm Week |
| 8 | Unsupervised Learning |
| 9 | Reinforcement Learning |
| 10 | Neural Networks and Deep Learning |
| 11 | AI Applications: NLP and Vision |
| 12 | AI Systems and Real-World Deployment |
| 13 | Explainable AI (XAI) |
| 14 | Ethics, Philosophy and Trustworthy AI |
| Hafta | Uygulama Konu Başlıkları |
|---|---|
| 1 | Introduction to AI |
| 2 | Intelligent Agents and Problem-solving |
| 3 | Introduction to Machine Learning: Learning from Data |
| 4 | Supervised Learning: Regression & Classification |
| 5 | Model Evaluation and Generalization |
| 6 | Probabilistic AI and Bayesian Inference |
| 7 | Midterm Week |
| 8 | Unsupervised Learning |
| 9 | Reinforcement Learning |
| 10 | Neural Networks and Deep Learning |
| 11 | AI Applications: NLP and Vision |
| 12 | AI Systems and Real-World Deployment |
| 13 | Explainable AI (XAI) |
| 14 | Ethics, Philosophy and Trustworthy AI |