TÜRKÇE
ENGLISH
Information
| Unit | INSTITUTE OF SOCIAL SCIENCES |
| PUBLIC FINANCE (MASTER) (WITHOUT THESIS) (EVENING EDUCATION) | |
| Code | PFT715 |
| Name | Artificial Intelligence in the Public Sector |
| Term | 2025-2026 Academic Year |
| Term | Fall and Spring |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Yüksek Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Doç. Dr. İSMAİL GÜNEŞ |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
This course aims to analyze the emerging role of artificial intelligence (AI) technologies in the public sector and evaluate their impact on service delivery, policymaking, financial management, and decision-making processes. It also addresses ethical issues, governance frameworks, and data security while introducing best practices at national and international levels.
Course Content
It covers foundational concepts such as AI, machine learning, big data, and algorithmic decision-making. Applications of AI in areas such as e-government, smart cities, social assistance, health, and education services are examined in depth. The course also investigates how AI influences policymaking, data-driven public finance, and governance issues including ethics, transparency, data security, and accountability. Regulatory frameworks of international organizations (e.g., OECD, EU) are analyzed in comparison with Turkey’s national strategies. Throughout the term, students are expected to conduct case studies and develop project work related to AI applications in the public domain.
Course Precondition
No prerequisites
Resources
Martin Ford, Robotların Yükselişi Isaac Asimov, Ben Robot Chen Qiufan, Yapay Zeka 2041 - Geleceğimiz İçin On Vizyon Altınç Yılmaz, Derin Öğrenme Kolektif Düşünen Makineler - Yaklaşan Yapay Zeka Çağı Ve... Kolektif, Yapay Zeka Etiği Standorf University Artificial Intelligence Index Report 2025 UN Governing AI for Humanity: Final Report
Notes
UN Office for Digital and Emerging Technologies https://www.un.org/digital-emerging-technologies/ai-advisory-body UNDP Artificial Intelligence AI for Sustainable Development https://www.undp.org/digital/ai
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Relate AI systems to present-day use cases in the public sector |
| LO02 | Defines artificial intelligence systems. |
| LO03 | Assess the risks and implications of an AI system |
| LO04 | Analyzes the impact of AI on public service delivery. |
| LO05 | Develop the concept and project for an AI-based service in the public sector |
| LO06 | Makes comparative analyses with international good practice examples. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Explain the fundamental concepts, theories, and principles of public finance and evaluate these concepts within the framework of economic policies. | |
| PLO02 | Bilgi - Kuramsal, Olgusal | Analyze the structure, sources, and economic impacts of public revenues and expenditures. | |
| PLO03 | Bilgi - Kuramsal, Olgusal | Comprehend the budget processes, principles of fiscal discipline, and the theoretical foundations of public debt management. | |
| PLO04 | Bilgi - Kuramsal, Olgusal | Interpret the structure, types, and impacts of tax systems on economic growth using factual data. | 3 |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Analyzes the economic and social effects of public finance policies. | 5 |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Develops solution proposals for real world scenarios of public finance policies. | 4 |
| PLO07 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Conducts independent research in the field of public finance. | |
| PLO08 | Yetkinlikler - Öğrenme Yetkinliği | Learns current developments and new approaches in the field of public finance independently. | 3 |
| PLO09 | Yetkinlikler - Öğrenme Yetkinliği | Critically evaluate the knowledge in the field of public finance. | 4 |
| PLO10 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Communicate effectively with stakeholders on public finance issues. | 5 |
| PLO11 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Present fiscal policy proposals clearly and persuasively in written/verbal form. | 4 |
| PLO12 | Yetkinlikler - Alana Özgü Yetkinlik | Designs public finance policies within the framework of ethical principles. | 5 |
| PLO13 | Yetkinlikler - Alana Özgü Yetkinlik | Ensures effective use of public resources in line with fiscal sustainability objectives. | 3 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Challenges of digital transformation in the public sector " | Reading Related Book Chapter | Öğretim Yöntemleri: Soru-Cevap, Tartışma, Anlatım |
| 2 | AI use cases in the Public Sector | Reading Related Book Chapter | Öğretim Yöntemleri: Soru-Cevap, Tartışma, Anlatım |
| 3 | Public procurement and AI | Reading Related Book Chapter | Öğretim Yöntemleri: Tartışma, Soru-Cevap, Anlatım |
| 4 | AI project management cycle | Reading Related Book Chapter | Öğretim Yöntemleri: Anlatım, Tartışma, Soru-Cevap |
| 5 | Understanding Data | REading RElated Book Chapter | Öğretim Yöntemleri: Anlatım, Tartışma, Soru-Cevap |
| 6 | Types of AI systems | Reading Related Book Chapter | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 7 | Socio-Technical Dimensions of AI | Reading Related Book Chapter | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 8 | Homework Presentation Mid-Term Exam | Ölçme Yöntemleri: Ödev, Performans Değerlendirmesi |
|
| 9 | Public Service Design and AI | REading RElated Book Chapter | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 10 | AI ethics basics | reading Related Book Chapter | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 11 | Global governance of AI | Reading Related Book Chapter | Öğretim Yöntemleri: Soru-Cevap, Tartışma, Anlatım |
| 12 | Different regulatory approaches for AI | Reading Related Book Chapter | Öğretim Yöntemleri: Soru-Cevap, Tartışma, Anlatım |
| 13 | Developing an AI-Based Service in the Public Sector – A Hands-On Approach | Reading Related Book Chapter | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 14 | Team Work 1 | In-Group Task Distribution | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 15 | TEam Work 2 | In-Group Task Distribution | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 16 | Term Exams | Ölçme Yöntemleri: Performans Değerlendirmesi |
|
| 17 | Term Exams PRESENTATION | Ölçme Yöntemleri: Performans Değerlendirmesi |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 3 | 42 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 1 | 16 | 16 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 16 | 16 |
| Final Exam | 1 | 24 | 24 |
| Total Workload (Hour) | 140 | ||
| Total Workload / 25 (h) | 5,60 | ||
| ECTS | 6 ECTS | ||