FACULTY OF ARTS AND SCIENCES
Department of Mathematics
SOCIAL MEDIA
GEAR 302 | Course Introduction and Application Information
| Course Name |
World Museums
|
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
|
GEAR 302
|
Fall/Spring
|
3
|
0
|
3
|
6
|
| Prerequisites |
None
|
|||||
| Course Language |
English
|
|||||
| Course Type |
Service Course
|
|||||
| Course Level |
First Cycle
|
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| Mode of Delivery | - | |||||
| Teaching Methods and Techniques of the Course | DiscussionQ&ALecture / Presentation | |||||
| Course Coordinator | ||||||
| Course Lecturer(s) | ||||||
| Assistant(s) | - | |||||
| Course Objectives | The objective of this course is to introduce examples of different forms of cultural and artistic expressions in museums. |
| Learning Outcomes |
The students who succeeded in this course;
|
| Course Description | This course provides information about the museums established for different purposes. |
|
|
Core Courses | |
| Major Area Courses | ||
| Supportive Courses | ||
| Media and Management Skills Courses | ||
| Transferable Skill Courses |
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
| Week | Subjects | Related Preparation |
| 1 | Introduction to the course. Overview of the Course Syllabus (Assignments, Midterm, Presentations). | |
| 2 | Introduction to the Four Legs of a Museum Visit: Visitor, Artwork, Artist, Museum. | |
| 3 | Formal and Contextual Analysis. Slow Looking Techniques. Prehistoric Art. Paleolithic &Neolithic Art. Museums: Lascaux Cave Museum, France. Naturhistorisches Museum, Vienna. Anatolian Civilizations Museum, Ankara | Kleiner, Introduction, pp.1-14. Kleiner, Chp.1. Please check Blackboard for additional reading material on Slow Looking and Visual Fundementals. |
| 4 | Egyptian Art. Museums: The Egyptian Museum, Cairo. Metropolitan Museum of Art, New York. The Ancient Near Eastern Art. Museums: Louvre Museum, Paris. | Kleiner, Chp. 2. Kleiner, Chp. 3. |
| 5 | Greek Art. Hellenistic Art. Roman Art. Byzantine Art. Museums: National Archaeological Museum, Athens. Pergamon Museum, Berlin, Vatican Museum, Italy. The Getty Villa, USA. | Kleiner, Chp. 5. Kleiner, Chp. 10 Kleiner, Chp. 12 |
| 6 | Renaissance, Mannerism, Baroque, Rococo Periods. Museums: Uffizi Gallery, Florence. Borghese Gallery, Italy. Galleria dell’Academia. | Kleiner, Chp. 21 & 22. (For Rococo; pls check Chp. 29) |
| 7 | Neoclassicism. Romanticism. Realism. Museums: Tate Gallery, London. Boston, Museum of Fine Arts, USA. Kunsthistorisches Museum, Vienna. * Short Essay submission on Blackboard on the day of Lecture. | Kleiner, Chp. 29 & 30. |
| 8 | Impressionism. Post-Impressionism. Museums: Orsay Museum, Paris. Musée Rodin, Paris. Amsterdam Van Gogh Museum. Musée de L’Orangerie, Paris. * Artist choice for the Presentation is finalized on Google Doc. | Kleiner, Chp. 31. |
| 9 | Fauvism. Cubism. Museums: Museum Of Modern Art (MoMA), New York. Picasso Museum, Paris. * Museum of Modern Art Documentary. | Kleiner, Chp. 35. |
| 10 | Dadaism. Surrealism. Museums: Baltimore Museum of Art, USA The Art Institute of Chicago, USA. Yale Art Gallery, USA. | Kleiner, Chp. 35. |
| 11 | Abstract Expressionism. Pop Art. Contemporary Art. Museums: Fondation Louis Vuitton, Paris. Guggenheim Museum, Bilbao, Spain. | Kleiner, Chp. 36. |
| 12 | Midterm. * Submission of Presentations on Blackboard. | |
| 13 | Student Presentations (1) | |
| 14 | Student Presentations (2) | |
| 15 | Semester Review | |
| 16 | Semester Review |
EVALUATION SYSTEM
| Semester Activities | Number | Weigthing |
| Participation | ||
| Laboratory / Application | ||
| Field Work | ||
| Quizzes / Studio Critiques | ||
| Portfolio | ||
| Homework / Assignments |
1
|
25
|
| Presentation / Jury |
1
|
35
|
| Project | ||
| Seminar / Workshop | ||
| Oral Exams | ||
| Midterm |
1
|
40
|
| Final Exam | ||
| Total |
| Weighting of Semester Activities on the Final Grade |
3
|
100
|
| Weighting of End-of-Semester Activities on the Final Grade | ||
| Total |
ECTS / WORKLOAD TABLE
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Theoretical Course Hours (Including exam week: 16 x total hours) |
16
|
3
|
48
|
| Laboratory / Application Hours (Including exam week: '.16.' x total hours) |
16
|
0
|
|
| Study Hours Out of Class |
14
|
3
|
42
|
| Field Work |
0
|
||
| Quizzes / Studio Critiques |
0
|
||
| Portfolio |
0
|
||
| Homework / Assignments |
1
|
30
|
30
|
| Presentation / Jury |
1
|
30
|
30
|
| Project |
0
|
||
| Seminar / Workshop |
0
|
||
| Oral Exam |
0
|
||
| Midterms |
1
|
30
|
30
|
| Final Exam |
0
|
||
| Total |
180
|
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
|
#
|
Program Competencies/Outcomes |
* Contribution Level
|
||||
|
1
|
2
|
3
|
4
|
5
|
||
| 1 | To be able to have a grasp of basic mathematics, applied mathematics or theories and applications of statistics. |
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| 2 | To be able to use advanced theoretical and applied knowledge, interpret and evaluate data, define and analyze problems, develop solutions based on research and proofs by using acquired advanced knowledge and skills within the fields of mathematics or statistics. |
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| 3 | To be able to apply mathematics or statistics in real life phenomena with interdisciplinary approach and discover their potentials. |
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| 4 | To be able to evaluate the knowledge and skills acquired at an advanced level in the field with a critical approach and develop positive attitude towards lifelong learning. |
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| 5 | To be able to share the ideas and solution proposals to problems on issues in the field with professionals, non-professionals. |
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| 6 | To be able to take responsibility both as a team member or individual in order to solve unexpected complex problems faced within the implementations in the field, planning and managing activities towards the development of subordinates in the framework of a project. |
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| 7 | To be able to use informatics and communication technologies with at least a minimum level of European Computer Driving License Advanced Level software knowledge. |
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| 8 | To be able to act in accordance with social, scientific, cultural and ethical values on the stages of gathering, implementation and release of the results of data related to the field. |
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| 9 | To be able to possess sufficient consciousness about the issues of universality of social rights, social justice, quality, cultural values and also environmental protection, worker's health and security. |
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| 10 | To be able to connect concrete events and transfer solutions, collect data, analyze and interpret results using scientific methods and having a way of abstract thinking. |
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| 11 | To be able to collect data in the areas of Mathematics or Statistics and communicate with colleagues in a foreign language. |
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| 12 | To be able to speak a second foreign language at a medium level of fluency efficiently. |
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| 13 | To be able to relate the knowledge accumulated throughout the human history to their field of expertise. |
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*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
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