Information Package / Course Catalogue
Artificial Intelligence Applications in Business
Course Code: İYP224
Course Type: Required
Couse Group: Short Cycle (Associate's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 0
Credit: 2
Lab: 0
ECTS: 2
Objectives of the Course

This course aims to introduce the applications of artificial intelligence technologies in business environments, provide foundational knowledge of key concepts, and explain the role of AI in the digital transformation of business processes such as marketing, customer relations, finance, and supply chain management.

Course Content

The applications of artificial intelligence technologies in business environments, provide foundational knowledge of key concepts, the role of AI in the digital transformation of business processes such as marketing, customer relations, finance, and supply chain management.

Name of Lecturer(s)
Ins. Mehmet Serdar GÜR
Learning Outcomes
1.Explains the potential uses of artificial intelligence in businesses.
2.Defines basic artificial intelligence and machine learning concepts.
3.Interprets AI-supported applications in customer analysis and marketing decisions.
4.Explains the contributions of chatbots and digital assistants to business processes with examples.
5.Designs and presents its own AI-supported business solution as a mini project.
Recommended or Required Reading
1.Sharda, R., Delen, D., & Turban, E. (2023). Analytics, Data Science, and Artificial Intelligence: Systems for Decision Support, Pearson.
2.Online Araçlar: ChatGPT, Google Teachable Machine, Power BI, Tableau Public, Canva AI.
3.Örnek vaka analizleri: Amazon, Netflix, Zara, Unilever gibi firmaların YZ uygulamaları
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to Artificial Intelligence Concepts in Business
Week 2 - Theoretical
Introduction to Artificial Intelligence and Machine Learning
Week 3 - Theoretical
What is Data Analytics and Business Intelligence?
Week 4 - Theoretical
Customer Data Classification and Predictive Modeling
Week 5 - Theoretical
AI in Marketing Processes (Recommendation Systems, Segmentation)
Week 6 - Theoretical
Chatbot Design and Its Use in Customer Relations
Week 7 - Theoretical
Applications of AI in Human Resources Management
Week 8 - Theoretical
Presentation of Application Examples / Midterm Exam
Week 9 - Theoretical
AI in Supply Chain and Inventory Management
Week 10 - Theoretical
AI in Production Planning and Quality Control
Week 11 - Theoretical
Ethical Considerations and Workforce Impacts of AI
Week 12 - Theoretical
Interim Student Project Presentations
Week 13 - Theoretical
Developing AI-Based Business Solution Proposals
Week 14 - Theoretical
Final Presentations and General Evaluation
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140228
Term Project24212
Midterm Examination1415
Final Examination1415
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
OÇ-1
5
5
OÇ-2
5
5
OÇ-3
5
5
OÇ-4
5
5
OÇ-5
5
5
Adnan Menderes University - Information Package / Course Catalogue
2026