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| ULS5661 | States and Artificial Intelligence | 3+0+0 | ECTS:7.5 | | Year / Semester | Fall Semester | | Level of Course | Second Cycle | | Status | Elective | | Department | DEPARTMENT of INTERNATIONAL RELATIONS | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | Doç. Dr. Vahit GÜNTAY | | Co-Lecturer | Assoc. Prof. Özgür Tüfekçi | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | The course has two parametric cases. One of the main case is artifical intelligence and social sciences. The other case is policy makers' initiatives. These initiatives and the reports will be evaluated in this course. |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | comprehend the importance of artificial intelligence. | 1,2 | 1, | | PO - 2 : | establish relationship states and artificial intelligence. | 1,2 | 1, | | PO - 3 : | interpret the role of artificial intelligence in social sciences. | 1,2 | 1, | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome | | |
| Artificial intelligence is the numerical intelligence technique for managing the machines and robots which are human-made. Artificial intelligence has a technical area arithmetic but states have some political agendas for this area. This area presents alternative solutions to people about problem solving and learning and in that case this area is being argued as a central form for the future. In this point the main content of the course is states' politics and their initiatives. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | What is artificial intelligence? | | | Week 2 | Technological Dimension of Social Sciences | | | Week 3 | Artificial Intelligence and Social Sciences | | | Week 4 | Technology and States | | | Week 5 | States' Technology Programs | | | Week 6 | Artifical Intelligence and Politic Competition | | | Week 7 | Foreign Policy and Artifical Intelligence | | | Week 8 | States' Artificial Intelligence Practices | | | Week 9 | Mid-Term exam | | | Week 10 | USA and Artifical Intelligence | | | Week 11 | Russia and Artificial Intelligence | | | Week 12 | China and Artificial Intelligence | | | Week 13 | Far East States and Artifical Intelligence | | | Week 14 | European States and Artificial Intelligence | | | Week 15 | Artificial Intelligence Researches in Turkey | | | Week 16 | General Evaluation | | | |
| 1 | Nilsson Nils J. 2018; Yapay Zeka Geçmişi ve Geleceği, Boğaziçi Üniversitesi Yayınevi, İstanbul | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 18/11/2024 | 2 | 30 | | In-term studies (second mid-term exam) | 12 | 03/01/2025 | 1 | 20 | | End-of-term exam | 16 | 06/01/2025 | 2 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 3 | 14 | 42 | | Sınıf dışı çalışma | 5 | 14 | 70 | | Arasınav için hazırlık | 6 | 5 | 30 | | Arasınav | 2 | 1 | 2 | | Ödev | 5 | 6 | 30 | | Dönem sonu sınavı için hazırlık | 6 | 8 | 48 | | Dönem sonu sınavı | 3 | 1 | 3 | | Total work load | | | 225 |
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