Information Package / Course Catalogue
Utilization of Artifical Intelligence Tools
Course Code: YYÖN267
Course Type: Non Departmental Elective
Couse Group: Short Cycle (Associate's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 1
Prt.: 1
Credit: 2
Lab: 0
ECTS: 2
Objectives of the Course

The aim of this course is to enable students to use AI-supported tools in tasks, processes, and documentation related to their field; to digitalize operations such as writing, analysis, reporting, and planning encountered in professional settings; to generate content based on big data and document types; to organize workflows with the support of artificial intelligence; and to prepare institutional documents, forms, and analytical outputs through digital systems.

Course Content

Introduction to artificial intelligence, the development of AI technologies and fundamental concepts, the role of AI applications in professional life, AI-assisted daily task management, creation of official documents and reports, designing forms and tables, the use of AI in quality control processes, simplification of regulations, data analysis and graph generation, the concept of big data, AI-supported formulations in business decision-making, and applications in task planning and workflow management.

Name of Lecturer(s)
Ins. Cahit İNCİOĞLU
Learning Outcomes
1.Ability to define artificial intelligence concepts
2.Explores artificial intelligence tools and their areas of application
3.Ability to prepare official correspondence and documents
4.Ability to analyze data and generate charts
5.Ability to organize quality forms and process documents
Recommended or Required Reading
1.Prof. Dr. Çetin Elmas / Artificial Intelligence Applications
2.https://chat.openai.com
3.https://gemini.google.com
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to artificial intelligence and basic concepts
Week 2 - Theoretical
Techniques for creating effective prompts
Week 3 - Theoretical
Automating daily tasks
Week 4 - Theoretical
Techniques for creating official documents
Week 5 - Theoretical
Methods for report writing and summarization
Week 6 - Theoretical
Skills for writing emails and petitions
Week 7 - Theoretical
Organizing forms, tables, and documents
Week 8 - Theoretical
Creating quality control forms
Week 9 - Theoretical
Introduction to big data and sample datasets
Week 10 - Theoretical
Reading, summarizing, and simplifying regulations
Week 11 - Theoretical
Data analysis and chart generation using Excel
Week 12 - Theoretical
Formula-based decision making in business operations
Week 13 - Theoretical
Preparing task lists and time schedules
Week 14 - Theoretical
Process automation suggestions and general review
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140228
Lecture - Practice100110
Midterm Examination1415
Final Examination1617
TOTAL WORKLOAD (hours)50
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
OÇ-1
1
1
OÇ-2
4
4
4
2
OÇ-3
4
OÇ-4
2
3
5
OÇ-5
3
4
Adnan Menderes University - Information Package / Course Catalogue
2026