Course Name | Clothes in the Movies |
Code | Semester | Theory (hour/week) | Application/Lab (hour/week) | Local Credits | ECTS |
---|---|---|---|---|---|
GEAR 303 | Fall/Spring | 2 | 2 | 3 | 4 |
Prerequisites | None | |||||
Course Language | English | |||||
Course Type | Service Course | |||||
Course Level | First Cycle | |||||
Mode of Delivery | - | |||||
Teaching Methods and Techniques of the Course | ||||||
Course Coordinator | ||||||
Course Lecturer(s) | ||||||
Assistant(s) | - |
Course Objectives | The aim of this course is to enable students to comprehend the relationship between fashion and cinema by means of films and readings and to acquire the necessary skills for analysis at academic level. |
Learning Outcomes | The students who succeeded in this course;
|
Course Description | This course will provide an advanced level of knowledge in the cultural and artistic context of fashion. This course will consist of 3 thematically divided sections: a. films about the fashion industry; b. Films, clothing and identity, c. Films, clothing and storytelling. |
Related Sustainable Development Goals |
| Core Courses | |
Major Area Courses | ||
Supportive Courses | ||
Media and Managment Skills Courses | ||
Transferable Skill Courses |
Week | Subjects | Required Materials |
1 | Introduction | |
2 | Costume and Character: The Great Gatsby | Reading: http://clothesonfilm.com/costume-in-the-great-gatsby-use-your-imagination/ http://clothesonfilm.com/martinprada-great-gatsby-collaboration-fashion-as-costume/ |
3 | Lecture on Costume and character and explanation of assignment | |
4 | Costume and Character: Elizabeth: The Golden Age, Shekhar Kapur,2007 | Chapter 4, Laver, James, A Concise History of Fashion, Thames and Hudson, 1992 |
5 | Costume and Gender: Orlando, Sally Potter,1992 | Chapter 4, Laver, James, A Concise History of Fashion, Thames and Hudson, 1992 |
6 | Costume and Gender: The Iron Lady, Phyllida Lloyd 2011 | https://clothesonfilm.com/the-iron-lady-co stume-as-distinction-gender-and-protecti on/ |
7 | Costume and Time: Marie Antoinette Sophia Coppola 2006 | http://costumevault.blogspot.com/2016/02/marie-antoinette-working-with.html http://costumevault.blogspot.com/2015/11/marie-antoinette-telling-story-through.html |
8 | Costume and Time: The Grand Budapest Hotel, Wes Anderson,2014 | https://clothesonfilm.com/the-wes-anderson-collection-the-grand-budapest-hotel/ |
9 | Costume and Time: Phantom Thread | Chapter 10: Laver, James, History of Fashion, Thames and Hudson, 1992,p.252-292. |
10 | Lecture on Subcultures and Style | |
11 | Costume and Subcultures: Funny Face | Chapter 10: Laver, James, History of Fashion, Thames and Hudson, 1992,p.252-292. |
12 | MIDTERM EXAM | All movies and literature mentioned above, plus class discussions |
13 | PRESENTATIONS | Group work |
14 | PRESENTATIONS | Group work |
15 | Semester Review | |
16 | Final project |
Course Notes/Textbooks | Stella Bruzzi, Undressing cinema. Clothing and identity in the movies, London 1997. Laver, James, A Concise History of Fashion, Thames and Hudson, 1992, ISBN:0-500-20348-2 Blog: www.clothesonfilm.com |
Suggested Readings/Materials | Blog: www.clothesonfilm.com |
Semester Activities | Number | Weigthing |
Participation | ||
Laboratory / Application | ||
Field Work | ||
Quizzes / Studio Critiques | ||
Portfolio | ||
Homework / Assignments | 1 | 30 |
Presentation / Jury | ||
Project | 1 | 30 |
Seminar / Workshop | ||
Oral Exam | ||
Midterm | 1 | 40 |
Final Exam | ||
Total |
Weighting of Semester Activities on the Final Grade | 4 | 100 |
Weighting of End-of-Semester Activities on the Final Grade | ||
Total |
Semester Activities | Number | Duration (Hours) | Workload |
---|---|---|---|
Course Hours (Including exam week: 16 x total hours) | 16 | 2 | 32 |
Laboratory / Application Hours (Including exam week: 16 x total hours) | 16 | 2 | |
Study Hours Out of Class | 10 | 2 | 20 |
Field Work | |||
Quizzes / Studio Critiques | |||
Portfolio | |||
Homework / Assignments | 1 | 10 | |
Presentation / Jury | |||
Project | 1 | 8 | |
Seminar / Workshop | |||
Oral Exam | |||
Midterms | 1 | 20 | |
Final Exams | |||
Total | 122 |
# | 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. | |||||
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. | |||||
3 | To be able to apply mathematics or statistics in real life phenomena with interdisciplinary approach and discover their potentials. | |||||
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. | |||||
5 | To be able to share the ideas and solution proposals to problems on issues in the field with professionals, non-professionals. | |||||
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. | |||||
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. | |||||
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. | |||||
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. | |||||
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. | |||||
11 | To be able to collect data in the areas of Mathematics or Statistics and communicate with colleagues in a foreign language. | |||||
12 | To be able to speak a second foreign language at a medium level of fluency efficiently. | |||||
13 | To be able to relate the knowledge accumulated throughout the human history to their field of expertise. |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest