SECTION I: GENERAL INFORMATION ABOUT THE COURSE

Course Code	Course Name	Year	Semester	Theoretical	Practical	Credit	ECTS
TIM7114	Creativity and Innovation	1	Spring	3	0	3	6

Course Type :	Elective Course VI
Cycle:	Master      TQF-HE:7. Master`s Degree      QF-EHEA:Second Cycle      EQF-LLL:7. Master`s Degree
Language of Instruction:	English
Prerequisities and Co-requisities:	N/A
Mode of Delivery:	Face to face
Name of Coordinator:	Doçent Dr. BURCU AYDIN KÜÇÜK
Dersin Öğretim Eleman(lar)ı:	Doçent Dr. BURCU AYDIN KÜÇÜK
Dersin Kategorisi:

SECTION II: INTRODUCTION TO THE COURSE

Course Objectives & Content

Course Objectives:

The aim of this course is to develop a comprehensive understanding of creativity and innovation processes at individual, team, and organizational levels. It seeks to equip students with theoretical frameworks and practical tools to generate, evaluate, and implement novel ideas in complex and dynamic environments. The course also aims to foster critical thinking regarding the antecedents, barriers, and outcomes of creativity and innovation, enabling students to design and manage innovation processes strategically.

Course Content:

This course covers the conceptual foundations and practical applications of creativity and innovation in organizational contexts. It includes key theories of creativity, individual and team-level creative processes, and organizational conditions that foster or hinder innovation. Topics include idea generation techniques, design thinking, creative problem-solving, and innovation strategies. The course also examines the role of leadership, organizational culture, and psychological factors in supporting creativity. In addition, barriers to innovation, resistance to change, and methods for managing and sustaining innovation processes are addressed. Case studies and real-world applications are used to bridge theory and practice.

Course Specific Rules

Attendance is mandatory. Students are expected to attend all sessions regularly. Excessive absenteeism will negatively affect course performance. Active participation is essential. Students are expected to contribute to discussions, critically engage with course materials, and demonstrate analytical thinking. Preparation is required. All assigned readings and case studies must be completed prior to class. Students should come prepared to discuss and evaluate the materials. Case-based contribution. Each student is expected to make original contributions through case analyses, linking theoretical frameworks with real-world applications. Academic integrity. All submissions must adhere to academic ethics. Plagiarism, unauthorized collaboration, or misuse of sources will not be tolerated. Respectful learning environment. Students are expected to respect diverse perspectives and engage in constructive dialogue. Timely submission of assignments. Deadlines must be strictly followed unless prior approval is obtained. Application-oriented learning. Students are encouraged to relate course concepts to their own professional or research contexts

Course Learning Outcomes (CLOs)

Course Learning Outcomes (CLOs) are those describing the knowledge, skills and competencies that students are expected to achieve upon successful completion of the course. In this context, Course Learning Outcomes defined for this course unit are as follows:

Knowledge (Described as Theoritical and/or Factual Knowledge.)

Skills (Describe as Cognitive and/or Practical Skills.)

1) Students can analyze and apply major theories of creativity and innovation to solve complex organizational problem.

2) Students can effectively present and defend their ideas through structured arguments, case analyses, and academic discussions.

Competences (Described as "Ability of the learner to apply knowledge and skills autonomously with responsibility", "Learning to learn"," Communication and social" and "Field specific" competences.)

1) Students can independently evaluate emerging trends (e.g., AI, digital transformation) and continuously update their knowledge in the field of innovation.

2) Students can develop innovative ideas and design original solutions by integrating creativity techniques and innovation strategies.

3) Students can work collaboratively in teams, contribute to group-based problem solving, and engage constructively in discussions on innovation-related topics.

Weekly Course Schedule

Week	Subject	Materials Sharing *
		Related Preparation	Further Study
1)	Introduction to Creativity and Innovation	Lecturer`s Notes	Question- answer, and Discussion.
2)	Theoretical Foundations of Creativity
3)	Cognitive Processes of Creativity
4)	Types of Innovation
5)	Design Thinking
6)	Organizational Barriers to Innovation
7)	Strategic Innovation
8)	Midterm Exam
9)	AI and Innovation
10)	Social Innovation & Entrepreneurship
11)	Frugal & Reverse Innovation
12)	Managing Creative Teams
13)	Ethics of Innovation
14)	Future of Innovation

*These fields provides students with course materials for their pre- and further study before and after the course delivered.

Recommended or Required Reading & Other Learning Resources/Tools

Course Notes / Textbooks:

Core Textbook: Creativity, Inc. – Insights into managing creativity and sustaining innovation within organizations. Supplementary Textbooks: The Innovator’s Dilemma – Understanding disruptive innovation and organizational adaptation. Where Good Ideas Come From – Exploration of the environments that foster innovation. Creative Confidence – Practical approaches to unlocking individual creativity. Academic Articles and Reports: Selected peer-reviewed journal articles from leading journals such as Academy of Management Journal, Journal of Applied Psychology, and Research Policy will be assigned weekly. Additional Materials: Case studies, lecture notes, and multimedia resources (videos, podcasts, and real-world cases) will be provided throughout the course.

References:

DERS ÖĞRENME ÇIKTILARI - PROGRAM ÖĞRENME ÇIKTILARI İLİŞKİSİ

Contribution of The Course Unit To The Programme Learning Outcomes

Ders Öğrenme Çıktıları (DÖÇ)	1	2	3	4	5
Program Öğrenme Çıktıları (PÖÇ)
1) Has the knowledge to deepen the knowledge acquired at the undergraduate level and put it into practice.
2) Is sensitive to ethical values ​​and social responsibilities in professional life.
3) Has experience in participating in research/project processes and presenting/publishing outputs effectively.
4) Has the ability to work creatively and responsibly in multi-disciplinary environments, either individually or as a team member/leader.
5) Has the ability to communicate effectively verbally, in writing, graphically and through technological means.
6) Has the habit of accessing independent information, improving oneself and being up to date.
7) Has the ability to design engineering systems related to artificial intelligence, model them and solve problems with innovative methods.
8) Has the competence to organize experiments/simulations on artificial intelligence, collect, analyze and interpret data.
9) Applying knowledge of mathematics, science and engineering with artificial intelligence; being informed about current issues and using this information effectively in research or product development processes.
10) Has the ability to think deeply, reason and develop an analytical perspective in his/her field.

SECTION III: RELATIONSHIP BETWEEN COURSE UNIT AND COURSE LEARNING OUTCOMES (CLOs)

Level of Contribution of the Course to PLOs

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Programme Learning Outcomes	Contribution Level (from 1 to 5)
1)	Has the knowledge to deepen the knowledge acquired at the undergraduate level and put it into practice.	3
2)	Is sensitive to ethical values ​​and social responsibilities in professional life.	3
3)	Has experience in participating in research/project processes and presenting/publishing outputs effectively.	3
4)	Has the ability to work creatively and responsibly in multi-disciplinary environments, either individually or as a team member/leader.	3
5)	Has the ability to communicate effectively verbally, in writing, graphically and through technological means.	3
6)	Has the habit of accessing independent information, improving oneself and being up to date.	3
7)	Has the ability to design engineering systems related to artificial intelligence, model them and solve problems with innovative methods.	3
8)	Has the competence to organize experiments/simulations on artificial intelligence, collect, analyze and interpret data.	3
9)	Applying knowledge of mathematics, science and engineering with artificial intelligence; being informed about current issues and using this information effectively in research or product development processes.	3
10)	Has the ability to think deeply, reason and develop an analytical perspective in his/her field.	3

SECTION IV: TEACHING-LEARNING & ASSESMENT-EVALUATION METHODS OF THE COURSE

Teaching & Learning Methods of the Course

(All teaching and learning methods used at the university are managed systematically. Upon proposals of the programme units, they are assessed by the relevant academic boards and, if found appropriate, they are included among the university list. Programmes, then, choose the appropriate methods in line with their programme design from this list. Likewise, appropriate methods to be used for the course units can be chosen among those defined for the programme.)

Teaching and Learning Methods defined at the Programme Level	Teaching and Learning Methods Defined for the Course
Lectures
Discussion
Case Study
Problem Solving
Reading
Questions Answers
Active Participation in Class

Assessment & Evaluation Methods of the Course

(All assessment and evaluation methods used at the university are managed systematically. Upon proposals of the programme units, they are assessed by the relevant academic boards and, if found appropriate, they are included among the university list. Programmes, then, choose the appropriate methods in line with their programme design from this list. Likewise, appropriate methods to be used for the course units can be chosen among those defined for the programme.)

Aassessment and evaluation Methods defined at the Programme Level	Assessment and Evaluation Methods defined for the Course
Midterm
Final Exam

Contribution of Assesment & Evalution Activities to Final Grade of the Course

Measurement and Evaluation Methods	# of practice per semester	Level of Contribution
Midterms	1	% 40.00
Semester Final Exam	1	% 60.00
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
Total		% 100

SECTION V: WORKLOAD & ECTS CREDITS ALLOCATED FOR THE COURSE

WORKLOAD OF TEACHING & LEARNING ACTIVITIES
Teaching & Learning Activities	# of Activities per semester	Duration (hour)	Total Workload
Course	14	3	42
Laboratory	0	0	0
Application	6	2	12
Special Course Internship (Work Placement)	0	0	0
Field Work	0	0	0
Study Hours Out of Class	0	0	0
Presentations / Seminar	6	3	18
Project	1	30	30
Homework Assignments	6	8	48
Total Workload of Teaching & Learning Activities	-	-	150
WORKLOAD OF ASSESMENT & EVALUATION ACTIVITIES
Assesment & Evaluation Activities	# of Activities per semester	Duration (hour)	Total Workload
Quizzes	0	0	0
Midterms	1	1	1
Semester Final Exam	1	1	1
Total Workload of Assesment & Evaluation Activities	-	-	2
TOTAL WORKLOAD (Teaching & Learning + Assesment & Evaluation Activities)			152
ECTS CREDITS OF THE COURSE (Total Workload/25.5 h)			6