Electrical and Electronic Engineering (English) Preview
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code:

UNI438

Course Name:

AI and Transformation Management

Semester:

Spring
Fall

Course Credits:

ECTS

Language of instruction:

English

Course Condition:

Does the Course Require Work Experience?:

Type of course:

University Elective

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

E-Learning

Course Coordinator:

Dr. Öğr. Üy. BURCU ARSAN

Course Lecturer(s):

Dr. Burcu Arsan

Course Assistants:

Course Objective and Content

Course Objectives:

The objectives of this course are to:
• Introduce students to key AI technologies and their applications in organizations.
• Examine how AI drives organizational transformation and change management.
• Develop students’ ability to analyze, plan, and implement AI-driven initiatives.
• Explore the ethical, social, and operational challenges of AI adoption.
• Enhance critical thinking and problem-solving skills in AI-enabled business contexts.
• Prepare students to communicate AI strategies and transformation plans effectively.

Course Content:

This course examines the role of Artificial Intelligence (AI) in driving organizational transformation and change. Students will explore how AI technologies influence strategy, operations, and decision-making processes, while also considering ethical, managerial, and human factors. The course combines theoretical foundations with practical applications to prepare students to manage AI-enabled transformations effectively.

Learning Outcomes

The students who have succeeded in this course;
1) By the end of the course, students will be able to: • Understand the key concepts and technologies of AI in business and management contexts.
2) Analyze the impact of AI on organizational processes and strategies.
3) Apply change management principles to AI-driven transformations.
4) Identify challenges and risks in AI adoption, including ethical, social, and operational considerations.
5) Develop practical solutions for implementing AI initiatives in organizations

Course Flow Plan

Week	Subject	Related Preparation
1)	Introduction to AI and Transformation Management (Definitions, scope, and importance of AI in organizations)
2)	AI Technologies and Capabilities (Machine learning, natural language processing, robotics, and automation)
3)	AI in Strategic Management (Aligning AI initiatives with organizational strategy)
4)	Organizational Change and Transformation (Kotter, ADKAR, Lewin)
5)	AI Adoption Challenges and Barriers (Resistance to change, skills gap, techno-stress and infrastructure requirements)
6)	Midterm Exam
7)	Data Management and AI Ethics (Data quality, privacy, bias, and responsible AI practices)
8)	AI-Driven Decision Making (Augmented intelligence, AI in operational and strategic decisions)
9)	AI Implementation Planning (Project management, stakeholder engagement, and risk assessment)
10)	Human Factors in AI Transformation (Employee engagement, training, and culture change)
11)	AI in Digital Transformation (Integration with other technologies (IoT, cloud, analytics))
12)	Term Project Presentations
13)	Term Project Presentations
14)	Term Project Presentations
15)	Final Exam

Sources

Course Notes / Textbooks:	Lecturer's Notes, Ders Notları
References:	Ders süresince sağlanacak seçilmiş makaleler ve vaka çalışmaları Selected articles and case studies (provided throughout the course)

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3	4	5
Program Outcomes
1) Has sufficient knowledge in mathematics and natural sciences.
2) Has sufficient knowledge in Electrical and Electronics engineering–specific subjects.
3) Has the ability to apply theoretical and practical knowledge of mathematics, natural sciences, and Electrical and Electronics engineering to solve complex engineering problems.
4) Has the ability to identify, formulate, and solve complex engineering problems, and to select and apply appropriate analysis and modeling methods for this purpose.
5) Has the ability to design complex systems, processes, devices, or products under realistic constraints and conditions to meet specific requirements, and to apply modern design methods for this purpose.
6) Has the ability to select and use modern techniques and tools required for the analysis and solution of complex engineering problems encountered in engineering practice, and to use information technologies effectively.
7) Has the ability to design and conduct experiments, collect data, analyze and interpret results for the investigation of complex engineering problems or Electrical and Electronics engineering–specific research topics.
8) Has the ability to work effectively in disciplinary teams.
9) Has the ability to work effectively in multidisciplinary teams.
10) Has the ability to work individually.
11) Has the ability to communicate effectively in oral and written form; has knowledge of at least one foreign language; writes effective reports, understands written reports, prepares design and production reports, makes effective presentations, and gives and receives clear and understandable instructions.
12) Has awareness of the necessity for lifelong learning; accesses information, follows developments in science and technology, and continuously renews oneself.
13) Acts in accordance with ethical principles; has knowledge of professional and ethical responsibilities and of the standards used in engineering practices.
14) Has knowledge of business practices such as project management, risk management, and change management.
15) Has awareness of entrepreneurship and innovation.
16) Has knowledge of sustainable development.
17) Has knowledge of the impacts of engineering practices on health, environment, and safety on a universal and societal scale, and awareness of contemporary issues reflected in the field of engineering.
18) Has awareness of the legal consequences of engineering solutions.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	Has sufficient knowledge in mathematics and natural sciences.
2)	Has sufficient knowledge in Electrical and Electronics engineering–specific subjects.
3)	Has the ability to apply theoretical and practical knowledge of mathematics, natural sciences, and Electrical and Electronics engineering to solve complex engineering problems.
4)	Has the ability to identify, formulate, and solve complex engineering problems, and to select and apply appropriate analysis and modeling methods for this purpose.
5)	Has the ability to design complex systems, processes, devices, or products under realistic constraints and conditions to meet specific requirements, and to apply modern design methods for this purpose.
6)	Has the ability to select and use modern techniques and tools required for the analysis and solution of complex engineering problems encountered in engineering practice, and to use information technologies effectively.
7)	Has the ability to design and conduct experiments, collect data, analyze and interpret results for the investigation of complex engineering problems or Electrical and Electronics engineering–specific research topics.
8)	Has the ability to work effectively in disciplinary teams.
9)	Has the ability to work effectively in multidisciplinary teams.
10)	Has the ability to work individually.
11)	Has the ability to communicate effectively in oral and written form; has knowledge of at least one foreign language; writes effective reports, understands written reports, prepares design and production reports, makes effective presentations, and gives and receives clear and understandable instructions.
12)	Has awareness of the necessity for lifelong learning; accesses information, follows developments in science and technology, and continuously renews oneself.
13)	Acts in accordance with ethical principles; has knowledge of professional and ethical responsibilities and of the standards used in engineering practices.
14)	Has knowledge of business practices such as project management, risk management, and change management.
15)	Has awareness of entrepreneurship and innovation.
16)	Has knowledge of sustainable development.
17)	Has knowledge of the impacts of engineering practices on health, environment, and safety on a universal and societal scale, and awareness of contemporary issues reflected in the field of engineering.
18)	Has awareness of the legal consequences of engineering solutions.

Assessment & Grading

Değerlendirme Yöntemleri ve Kriterleri	Number of Activities	Level of Contribution
Attendance	1	% 10
Presentation	1	% 20
Midterms	1	% 30
Final	1	% 40
total		% 100

Workload and ECTS Credit Calculation

Activities	Number of Activities	Workload
Course Hours	15	30
Presentations / Seminar	4	8
Homework Assignments	2	10
Quizzes	8	32
Midterms	2	11
Final	4	22
Total Workload		113