| 1 | Concepts of AI and Intelligence: Definitions of human intelligence and artificial intelligence, historical development, the Turing test, and basic concepts. |
| 2 | The Logic of Learning Machines: What is machine learning? How does it learn? Algorithmic thinking structure and types of learning. |
| 3 | Human-Computer Interaction (HCI): The role of humans, principles of interaction with technology, user experience, and interface psychology. |
| 4 | Academic Assistance I (Introduction to Prompt Engineering): Techniques for establishing correct communication with AI, creating context, and assigning roles. |
| 5 | Academic Assistance II (Information Management): Summarizing course notes, simplifying complex texts, and creating concept maps. |
| 6 | Academic Assistance III (Planning and Organization): Time management, preparing weekly course schedules, and creating study calendars. |
| 7 | Language and Communication Applications I: Practice in foreign language learning, vocabulary acquisition techniques, and error analysis. |
| 8 | Midterm Exam |
| 9 | Language and Communication Applications II: Academic translation support, text editing (proofreading), spelling check, and tone management. |
| 10 | Digital Production and Visual Literacy: Creating visuals for presentations, media analysis, detection of disinformation, and deepfakes. |
| 11 | Artificial Intelligence Ethics: Algorithmic bias, discrimination, transparency, and responsibility in AI decisions. |
| 12 | Security and Data Privacy: Protection of personal data (GDPR/KVKK), digital footprint management, and cybersecurity awareness. |
| 13 | Social Transformation and Future: The future of the workforce, the concept of digital citizenship, and sustainable technology use. |
| 14 | General Evaluation: Semester summary and student feedback. |
