FACULTY OF ARTS AND SCIENCES

Department of Mathematics

GEHU 302 | Course Introduction and Application Information

Course Name
Popular Culture
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
GEHU 302
Fall/Spring
3
0
3
6

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 This course to engage students in critically thinking about popular culture and its roles in society.
Learning Outcomes The students who succeeded in this course;
  • critically read popular cultural texts.
  • understand popular culture as an historical phenomenon.
  • comment on popular culture’s relationships to other types of culture and power.
  • discuss and critique popular culture in diverse cultural fields
  • discuss and critique a variety of approaches to the analysis of popular culture.
Course Description This course intends to analyze and discuss popular culture and its role in the world. We will scrutinize its major theories and contemporary discussions around it, and relate them with various recent works. We will also elaborate popular culture of Turkey and situate it within wider theoretical debates. The course consists of lectures, screenings and discussions revolving around critical analysis of and engagement with contemporary examples of film, television, adverts and new media.

 



Course Category

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 Course Introduction: Why should we study popular culture?
2 What is popular culture? Why is the distinction between “popular” and “high” culture problematic? J. Storey, Cultural Theory and Popular Culture, London and New York: Routledge, 2018. Bölüm 1, S. 1-17.
3 Culture and Civilization Tradition Storey, Chapter 2, p. 17-35
4 Culturalism: Hoggart, Williams, Thompson, Hall and Whannel. Case study: The use of opera and classical music in advertisements J. Storey, Cultural Theory and Popular Culture, London and New York: Routledge, 2018. Chapter 3, P. 38-60.
5 Marxisms: Frankfurt School, Althusser, Gramsci, post-Marxism and cultural studies Screening: Popular music videos J. Storey, Cultural Theory and Popular Culture, London and New York: Routledge, 2018. Chapter 4, P.61-94.
6 Structuralism and Post-Structuralism Screening: Dances with Wolves (1990) J. Storey, Cultural Theory and Popular Culture, London and New York: Routledge, 2018. Chapter 6, P. 116-139.
7 Midterm exam I
8 Gender and Sexuality Case study: Bitch Magazine: A Feminist Response to Popular Culture J. Storey, Cultural Theory and Popular Culture, London and New York: Routledge, 2018. Chapter 8, P. 152-186.
9 Postmodernism: Postmodern Theories of Popular Culture; Art and Popular Culture J. Storey, Cultural Theory and Popular Culture, London and New York: Routledge, 2018. Bölüm 9, S.204-236.
10 Documentary/Film Screening
11 In-Class Writing Assignment
12 Psychoanalysis and Popular Culture Storey, Chapter 5, p. 91-111
13 Popular Culture and Politics Storey, Chapter 10, p. 213-237
14 Review of the term
15 Second Midterm II
16 Review of the Semester  

 

Course Notes/Textbooks

John Storey, Cultural Theory and Popular Culture. An Introduction. Pearson Longman, 2009 ISBN978-1-4058-7409-0

Suggested Readings/Materials

The course uses the sources that are listed above.

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
1
10
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
1
30
Presentation / Jury
Project
Seminar / Workshop
Oral Exams
Midterm
2
60
Final Exam
Total

Weighting of Semester Activities on the Final Grade
4
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
16
3
48
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
1
24
24
Presentation / Jury
0
Project
0
Seminar / Workshop
0
Oral Exam
0
Midterms
2
30
60
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.

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

 


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