Information Package / Course Catalogue
Artificial Intelligence and Business Applications
Course Code: İŞT113
Course Type: Area Elective
Couse Group: Short Cycle (Associate's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 1
Credit: 3
Lab: 0
ECTS: 2
Objectives of the Course

The aim is for students to learn the basic concepts of artificial intelligence technologies, identify areas where artificial intelligence is used in business functions, and evaluate AI-supported applications in business processes.

Course Content

1. Fundamental Concepts of Artificial Intelligence and Its Use in the Business World 2. Artificial Intelligence Applications in Marketing, Sales, and Customer Relations 3. The Use of Artificial Intelligence in Human Resources, Accounting, and Finance Processes 4. AI-Supported Decision-Making and Data Analytics 5. AI Ethics, Data Security, and the Businesses of the Future

Name of Lecturer(s)
Learning Outcomes
1.It explains the basic concepts of artificial intelligence technologies and their importance for businesses.
2.Evaluates artificial intelligence applications used in the company’s core functions.
3.Interprets AI-powered decision-making and data analytics applications.
4.It analyzes the opportunities and risks of artificial intelligence for businesses.
5.It analyzes the opportunities and risks of artificial intelligence for businesses.
Recommended or Required Reading
1.Mollick, E. (2024). Co-Intelligence: Living and Working with AI.
2.Davenport, T. H. & Miller, S. Working with AI.
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to Artificial Intelligence
Week 2 - Theoretical
The Historical Development of Artificial Intelligence
Week 3 - Theoretical
Digital Transformation in Businesses
Week 4 - Theoretical
Generative AI Tools
Week 5 - Theoretical
Artificial Intelligence in Marketing and Sales
Week 6 - Theoretical
Artificial Intelligence in Customer Relations
Week 7 - Theoretical
Artificial Intelligence in Human Resources
Week 8 - Theoretical
Artificial Intelligence in Operations and the Supply Chain
Week 9 - Theoretical & Practice
Data Analytics and Decision Support Systems
Week 10 - Theoretical
Artificial Intelligence Ethics and Data Security
Week 11 - Theoretical
Artificial Intelligence and Productivity and Business Processes
Week 12 - Theoretical & Practice
Businesses of the Future and Artificial Intelligence
Week 13 - Theoretical & Practice
Businesses of the Future and Artificial Intelligence
Week 14 - Theoretical & Practice
Case Studies and Current Practices
Assessment Methods and Criteria
Type of AssessmentCountPercent
Assignment1%5
Quiz1%5
Midterm Examination1%30
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140228
Lecture - Practice140114
Assignment1112
Quiz1112
Midterm Examination1112
Final Examination1112
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
OÇ-1
4
3
4
2
3
1
2
3
OÇ-2
4
4
5
4
5
1
3
4
OÇ-3
3
4
5
5
4
2
5
4
OÇ-4
3
3
3
5
4
2
4
5
OÇ-5
2
2
3
3
2
5
2
4
Adnan Menderes University - Information Package / Course Catalogue
2026