COURSE UNIT TITLE

: ARTIFICIAL INTELLIGENCE APPLICATIONS IN PUBLIC ADMINISTRATION

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
KMY 3069 ARTIFICIAL INTELLIGENCE APPLICATIONS IN PUBLIC ADMINISTRATION ELECTIVE 3 0 0 5

Offered By

Public Administration

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSISTANT PROFESSOR YAKUP ÖZKAYA

Offered to

Public Administration
Public Administration (Evening)

Course Objective

The aim of this course is to introduce students to the uses and effects of artificial intelligence technologies in the general processes of public administration and local government, and to analyze the opportunities offered by these technologies to increase the quality of public service, improve management processes and policy making.

Learning Outcomes of the Course Unit

1   To be able to define the general principles of artificial intelligence in public administration (OP-1, OP-2)
2   To be able to explain the usage areas of artificial intelligence in general public administration and local government processes. (OP-2, OP-3, OP-5, OP-10)
3   To be able to evaluate the advantages and disadvantages of artificial intelligence applications in public administration (OP-3, OP-4).
4   To be able to discuss the ethical, legal and social effects of artificial intelligence technologies in public administration. (OP-2, OP-4, OP-7)
5   Develop artificial intelligence based projects for public administration and local governments. (OP-1, OP-3, OP-5, OP-7, OP-8)

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Artificial Intelligence in Public Administration: Basic Concepts and Overview
2 Main Uses of Artificial Intelligence in Public Administration
3 Use of Artificial Intelligence in Public Service Delivery
4 Artificial Intelligence Supported Public Decision Making Processes
5 Transparency, Accountability and Ethical Dimensions of Artificial Intelligence
6 Artificial Intelligence Applications in Local Governments
7 Data Management and Artificial Intelligence in Public Administration
8 Artificial Intelligence and Citizen Satisfaction in Public Services
9 Artificial Intelligence and Citizen Satisfaction in Public Services
10 Artificial Intelligence and Risk Management in Public Administration
11 International Examples: Artificial Intelligence Applications in Public Administration
12 Examples of Artificial Intelligence in Public and Local Governments from Turkey
13 General Review and Future Discussions
14 Social and Economic Impacts of Artificial Intelligence in Local Governments

Recomended or Required Reading


Cambridge University Press. (2022). AI, Public Policy, and Public Management: A Global Perspective.
Çelik, A. (2023). Artificial Intelligence and Smart City Management. Seçkin Publishing.
Deloitte. (2023). The Future of AI in Government: Opportunities and Challenges.
EU Commission. (2023). Artificial Intelligence and Ethics in Public Administration. European Union Publishing.
Gürses, H. I. (2024). Smart Cities and Public Administration. Ankara: Seçkin Publishing.
Harvard Business Review. (2023). Artificial Intelligence and Public Administration: Insights and Challenges.
IEEE Transactions on Computational Social Systems. (2023). Special Issue on Artificial Intelligence in Local Governments.
OECD. (2022). Artificial Intelligence in the Public Sector: Policy Perspectives.
Russel, S., & Norvig, P. (2022). Artificial Intelligence: A Modern Approach. Ankara: Nobel Publications.
Turkish Journal of Administration (2023). Special Issue on Artificial Intelligence Applications in Public Sector, (96).
TÜBITAK. (2023). Artificial Intelligence in Public Administration: Opportunities and Application Areas.
UN-Habitat. (2023). Artificial Intelligence and Cities: Sustainable Development Challenges.
World Bank. (2022). Artificial Intelligence and Its Impact on Public Sector Efficiency.
Yıldız, M. (2023). Public Administration in the Age of Artificial Intelligence. Ankara: Gazi Bookstore.

Planned Learning Activities and Teaching Methods

Methods and Techniques
- Narration
- Presentations
- Discussion and brainstorming
- Case study analysis
- Group work and student presentations

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 MTEG MIDTERM GRADE MTEG * 1
3 FIN FINAL EXAM
4 FCGR FINAL COURSE GRADE MTEG * 0.40 + FIN * 0.60
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTEG * 0.40 + RST * 0.60


Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

yakup.ozkaya@deu.edu.tr

Office Hours

Thursday 14.00-17.00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 1 12
Preparations before/after weekly lectures 12 3 36
Preparation for midterm exam 1 15 15
Preparation for final exam 1 20 20
Reading 2 20 40
Midterm 1 1 1
Midterm 1 1 1
TOTAL WORKLOAD (hours) 125

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13
LO.154
LO.254444
LO.354455
LO.44454
LO.55455544

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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