Course Detail

Course Description Course Outline Course Contribution to Program Qualifications Assessment Methods ECTS-Workload Detail Informations of the Course Numerical Data

Course Description

Course	Code	Semester	T+P (Hour)	Credit	ECTS
AA	ITF3117696	Fall Semester	3+0	3	5

Course Program

Çarşamba 20:30-21:15

Çarşamba 21:30-22:15

Çarşamba 22:30-23:15

Cumartesi 20:30-21:15

Cumartesi 21:30-22:15

Cumartesi 22:30-23:15

Prerequisites Courses
Recommended Elective Courses

Language of Course	English
Course Level	First Cycle (Bachelor's Degree)
Course Type	Elective
Course Coordinator	Assoc.Prof. Fatih PINARBAŞI
Name of Lecturer(s)	Assoc.Prof. Fatih PINARBAŞI
Assistant(s)
Aim	The aim of this course is to enable students to understand the fundamental concepts and operating principles of artificial intelligence and to use AI tools effectively, critically, and responsibly in academic and business contexts. The course also aims to enable students to evaluate artificial intelligence applications across different business functions and apply AI-supported tools to the solution of real-life business problems.
Course Content	This course contains; Orientation, Team Building, and Introduction to Artificial Intelligence,Large Language Models and How They Work,Artificial Intelligence Literacy and Its Use in Higher Education,Artificial Intelligence in Business: Management and Strategy,Artificial Intelligence in Business: Marketing and Sales,Artificial Intelligence in Business: Human Resources,Artificial Intelligence in Business: Financial Management,Mid-Term Project Presentations,Transforming Real-Life Situations into Business Problems,Prompt Architecture Development and Calibration,Customized Industry Solutions with Custom GPTs,Validation, Comparison, and Reporting of AI-Supported Solutions,Distribution of Final Cases to Project Groups and Sample Reporting,Final Group Presentations and Assessment.

Course Learning Outcomes	Teaching Methods	Assessment Methods
1. Will be able to explain the fundamental concepts and operating principles of artificial intelligence and AI-supported systems.	10, 12, 13, 16, 9	C, F
1.1. Explains the fundamental concepts of artificial intelligence.	10, 12, 13, 16, 9	C, F
1.2. Explains the fundamental operating principles of large language models.	10, 12, 13, 16, 9	C, F
1.3. Distinguishes the fundamental capabilities and limitations of AI-supported systems.	10, 12, 13, 16, 9	C, F
2. Will be able to use artificial intelligence tools effectively, critically, and responsibly in academic and business contexts.	10, 12, 13, 16, 9	C, F
2.1. Selects appropriate artificial intelligence tools for different purposes.	10, 12, 13, 16, 9	C, F
2.2. Critically evaluates outputs generated by artificial intelligence.	10, 12, 13, 16, 9	C, F
2.3. Evaluates ethical considerations and risks associated with the use of artificial intelligence.	10, 12, 13, 16, 9	C, F
3. Will be able to analyse the applications of artificial intelligence across different business functions.	10, 12, 13, 16, 9	C, F
3.1. Analyses artificial intelligence applications in management and strategy.	10, 12, 13, 16, 9	C, F
3.2. Analyses artificial intelligence applications in marketing and sales.	10, 12, 13, 16, 9	C, F
3.3. Analyses artificial intelligence applications in human resources and financial management.	10, 12, 13, 16, 9	C, F
4. Will be able to apply AI-supported tools to solve real-life business problems.	10, 12, 13, 16, 9	C, F
4.1. Transforms real-life situations into structured business problems.	10, 12, 13, 16, 9	C, F
4.2. Develops and calibrates appropriate prompt architectures for business problems.	10, 12, 13, 16, 9	C, F
4.3. Develops customized solutions to business problems using Custom GPTs.	10, 12, 13, 16, 9	C, F
5. Will be able to evaluate AI-supported business solutions and report the resulting outcomes.	10, 12, 13, 16, 9	C, F
5.1. Compares alternative AI-supported solutions.	10, 12, 13, 16, 9	C, F
5.2. Validates the appropriateness and reliability of AI-supported solutions.	10, 12, 13, 16, 9	C, F
5.3. Reports and presents the resulting outcomes in a structured manner.	10, 12, 13, 16, 9	C, F

Teaching Methods:	10: Discussion Method, 12: Problem Solving Method, 13: Case Study Method, 16: Question - Answer Technique, 9: Lecture Method
Assessment Methods:	C: Multiple-Choice Exam, F: Project Task

Course Outline

Order	Subjects	Preliminary Work
1	Orientation, Team Building, and Introduction to Artificial Intelligence
2	Large Language Models and How They Work
3	Artificial Intelligence Literacy and Its Use in Higher Education
4	Artificial Intelligence in Business: Management and Strategy
5	Artificial Intelligence in Business: Marketing and Sales
6	Artificial Intelligence in Business: Human Resources
7	Artificial Intelligence in Business: Financial Management
8	Mid-Term Project Presentations
9	Transforming Real-Life Situations into Business Problems
10	Prompt Architecture Development and Calibration
11	Customized Industry Solutions with Custom GPTs
12	Validation, Comparison, and Reporting of AI-Supported Solutions
13	Distribution of Final Cases to Project Groups and Sample Reporting
14	Final Group Presentations and Assessment

Resources

AI in Business: Creating Value Responsibly by Patrick J. Johanns, James W. Chaffee and Jackie Rees Ulmer, McGraw Hill, 2026, ISBN10: 1264859740 | ISBN13: 9781264859740

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
No	Program Qualification	Contribution Level
No	Program Qualification	1	2	3	4	5
1	Uluslararası ticaret ve finansman alanında teorik bilgileri tanımlar.
2	Uluslararası ticaret ve finansman alanında gerekli matematiksel ve istatistiki yöntemleri anlatır.
3	Uluslararası ticaret ve finansman alanında gerekli en az bir bilgisayar programı kullanır.
4	Uluslararası ticaret ve finansman alanında gerekli olan mesleki yabancı dil yeterliliğini gösterir.
5	Uluslararası ticaret ve finansman alanında projeler hazırlar ve takım çalışmalarını yönetir.
6	Mesleki alanda yaşam boyu öğrenmenin gerekliliği bilinciyle bilim ve teknolojideki gelişmeleri izleyerek kendini sürekli yenileyip edindiği bilgi ve becerileri eleştirel olarak değerlendirir.
7	Uluslararası ticaret ve finansman alanında teorik ve uygulamaya yönelik bilgileri kullanır
8	En az A1 düzeyinde bir yabancı dili kullanarak güncel teknolojileri takip eder, sözlü / yazılı iletişim kurar.
9	Örgüt / kurumsal, iş ve toplumsal etik değerlerini benimser ve kullanır.
10	Topluma hizmet duyarlılığı çerçevesinde, sosyal sorumluluk ilkelerini benimser ve gerektiğinde inisiyatif alır.
11	Disiplinler arası çalışmalar yürütebilmek için farklı disiplinlerde (ekonomi, finans, sosyoloji, hukuk, işletme) temel bilgileri ve verileri analiz ederek alanında kullanır.
12	Öğrenciler, küresel ticaret, ihracat-ithalat işlemleri, gümrük işlemleri ve dış ticaretin finansmanı alanlarında uzmanlık elde eder.

Assessment Methods

Contribution Level	Absolute Evaluation
Rate of Midterm Exam to Success		40
Rate of Final Exam to Success		60
Total		100

ECTS / Workload Table
Activities	Number of	Duration(Hour)	Total Workload(Hour)
Course Hours	14	3	42
Guided Problem Solving	6	2	12
Resolution of Homework Problems and Submission as a Report	10	2	20
Term Project	0	0	0
Presentation of Project / Seminar	3	5	15
Quiz	3	3	9
Midterm Exam	5	2	10
General Exam	10	2	20
Performance Task, Maintenance Plan	5	5	25
Total Workload(Hour)			153
*Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30=(153/30)**			5
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.

Detail Informations of the Course