Information Package / Course Catalogue
Artificial Intelligence and Banking Applications
Course Code: BSS120
Course Type: Area Elective
Couse Group: Short Cycle (Associate's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 0
Credit: 2
Lab: 0
ECTS: 3
Objectives of the Course

The aim of this course is to introduce students to the basic concepts of artificial intelligence, to explain the historical development, the use of artificial intelligence in daily life and banking and insurance to show application areas and raise awareness about ethics. Also students. Develop a basic understanding of how artificial intelligence systems work and gain knowledge in relevant professions reach the competence to follow artificial intelligence-based technologies in their fields is targeted.

Course Content

Definition of artificial intelligence, artificial intelligence tools, artificial intelligence and ethics and artificial intelligence in the future Includes concepts of intelligence

Name of Lecturer(s)
Learning Outcomes
1.Able to evaluate how artificial intelligence technologies can be used in a business context.
2.Creates artificial intelligence strategies that suit business goals.
3.Evaluates the benefits and limitations of implementing AI solutions in businesses.
4.Analyzes how productive artificial intelligence technologies can be used in businesses.
5.Recognizes the potential opportunities and risks that robotics and machine learning applications can create in business functions.
Recommended or Required Reading
1.Nilüfer Serinlikli, Artificial Intelligence and Artificial Intelligence Applications in Businesses, Özgür Publication, 2026
2.Dr. Lecturer Polathan Küspeci, Artificial Intelligence in Business, Periodical Book, 2021
Weekly Detailed Course Contents
Week 1 - Theoretical
Artificial Intelligence Definition
Week 2 - Theoretical
Development and Future of Artificial Intelligence
Week 3 - Theoretical
Machine Learning and Deep Learning Concepts
Week 4 - Theoretical
Big Data and Its Importance in Artificial Intelligence
Week 5 - Theoretical
Current Artificial Intelligence Tools and Effective Scripting
Week 6 - Theoretical
Banking and Insurance Applications
Week 7 - Theoretical
Banking and Insurance Applications
Week 8 - Theoretical
Banking and Insurance Applications
Week 9 - Theoretical
Banking and Insurance Applications
Week 10 - Theoretical
Banking and Insurance Applications
Week 11 - Theoretical
Banking and Insurance Applications
Week 12 - Theoretical
Banking and Insurance Applications
Week 13 - Theoretical
AI Ethics in Finance: Algorithmic Bias, Data Privacy, and Legal Regulations
Week 14 - Theoretical
The Banking and Insurance World of the Future: Changing Business with Artificial Intelligence Roles
Assessment Methods and Criteria
Type of AssessmentCountPercent
Assignment1%5
Quiz1%5
Midterm Examination1%30
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory141242
Assignment101120
Quiz1213
Midterm Examination1415
Final Examination1415
TOTAL WORKLOAD (hours)75
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
PÇ-11
PÇ-12
PÇ-13
PÇ-14
OÇ-1
3
4
4
5
4
OÇ-2
4
3
4
4
3
OÇ-3
4
4
5
4
4
OÇ-4
3
3
4
3
5
OÇ-5
3
3
4
4
4
Adnan Menderes University - Information Package / Course Catalogue
2026