| Course Objectives: |
This course aims to introduce the fundamental concepts, divine beings, heroic narratives, and symbolic representations of Turkish mythology, enabling students to understand mythological thought within its historical and cultural contexts and to evaluate this heritage in the fields of contemporary art, literature, and popular culture. |
| Course Content: |
The course covers the conceptual foundations of Turkish mythology, including divine beings, shamanism, nature and animal cults, heroic narratives, and mythic images of space and time. It concludes with the founding myths of Turkic tribes and the reflections of these narratives in art, literature, and popular culture. |
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:
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| Knowledge
(Described as Theoritical and/or Factual Knowledge.)
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| Skills
(Describe as Cognitive and/or Practical Skills.)
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1) Illustrate and interpret nature and animal cults, zoomorphic images, and female figures.
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| 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.)
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1) Define the fundamental concepts, belief systems, and symbolic narratives of Turkish mythology.
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2) Explain divine beings such as Gök Tanrı, Umay, and Erlik, as well as rituals related to shamanism.
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3) Analyze heroic narratives (e.g., Oğuz Kağan, Alp Er Tunga, Manas) and conduct comparative evaluations.
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4) Interpret the founding myths of Turkic tribes (such as tamga, dream, and color) within the context of cultural identity.
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| Week |
Subject |
Materials Sharing * |
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Related Preparation |
Further Study |
| 1) |
Giriş ve Kavramsal Çerçeve |
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| 2) |
Türk Mitolojisinin Temel Özellikleri |
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| 3) |
İlahi Varlıkların Tasviri: Gök Tanrı, Umay ve Erlik |
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| 4) |
Şaman, Kam ve Mitik Yolculuk İmgeleri |
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| 5) |
Doğa Kültleri ve Peyzajın Mitik Anlamı |
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| 6) |
Türk İmgeleminde Zoomorfik Temsil |
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| 7) |
Kadın Figürleri ve Dişil Mitoloji |
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| 8) |
Midterm Exam |
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| 9) |
Ölüm, Ruh ve Öte Dünya Temsilleri |
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| 10) |
Kahramanlar I – Oğuz Kağan ve Görsel Motifleri |
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| 11) |
Heroes 2- Alp Er Tunga, Manas, and Others |
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| 12) |
Mythic Spaces and Images of Time |
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| 13) |
Totemic Myths among Turkic Tribes- Tamga, Dream, and Color |
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| 14) |
Reflections of Turkish Mythology in Art and Popular Culture |
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Programme Learning Outcomes |
Contribution Level (from 1 to 5) |
| 1) |
It explains fundamental concepts in mathematics, statistics, and probability; and applies this knowledge to data analysis, modeling, and interpretation of results. |
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| 2) |
It explains the principles of algorithm design and develops software for solving problems using at least one programming language. |
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| 3) |
It compares machine learning and data mining algorithms, selects the appropriate method, and applies it to real data. |
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| 4) |
Big data platforms utilize distributed systems and cloud computing architectures to perform data processing operations. |
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| 5) |
They apply natural language processing techniques to text data and develop basic NLP-based applications. |
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| 6) |
It analyzes different data sources, transforms them into meaningful outputs, and presents them using appropriate visualization tools. |
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| 7) |
It creates data-driven decision models using decision support systems. |
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| 8) |
It develops optimization models and produces solutions for industrial and sectoral problems. |
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| 9) |
In professional practice, we operate within the framework of ethical principles, data security, and social responsibility. |
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| 10) |
They keep up with current technological developments in their field, actively participate in teamwork, and develop a lifelong learning awareness. |
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| WORKLOAD OF TEACHING & LEARNING ACTIVITIES |
| Teaching & Learning Activities |
# of Activities per semester |
Duration (hour) |
Total Workload |
| Course |
14 |
42 |
588 |
| Laboratory |
0 |
0 |
0 |
| Application |
0 |
0 |
0 |
| Special Course Internship (Work Placement) |
0 |
0 |
0 |
| Field Work |
0 |
0 |
0 |
| Study Hours Out of Class |
1 |
3 |
3 |
| Presentations / Seminar |
1 |
3 |
3 |
| Project |
0 |
0 |
0 |
| Homework Assignments |
1 |
5 |
5 |
| Total Workload of Teaching & Learning Activities |
- |
- |
599 |
| WORKLOAD OF ASSESMENT & EVALUATION ACTIVITIES |
| Assesment & Evaluation Activities |
# of Activities per semester |
Duration (hour) |
Total Workload |
| Quizzes |
1 |
5 |
5 |
| Midterms |
1 |
6 |
6 |
| Semester Final Exam |
1 |
10 |
10 |
| Total Workload of Assesment & Evaluation Activities |
- |
- |
21 |
| TOTAL WORKLOAD (Teaching & Learning + Assesment & Evaluation Activities) |
620 |
| ECTS CREDITS OF THE COURSE (Total Workload/25.5 h) |
6 |