Language of instruction: |
English |
Type of course: |
Non-Departmental Elective |
Course Level: |
Bachelor’s Degree (First Cycle)
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Mode of Delivery: |
Face to face
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Course Coordinator : |
Dr. Öğr. Üyesi TİRŞE ERBAYSAL FİLİBELİ |
Course Lecturer(s): |
Dr. Öğr. Üyesi TİRŞE ERBAYSAL FİLİBELİ
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Recommended Optional Program Components: |
Lind, R. An (2009). Race/Gender/Media: Considering Diversity Across Audiences, Content, and Producers
ISBN-10: 0205537359 |
Course Objectives: |
Discrimination is one of the main and deepest problems of today’s media as it is also a main problem for all societies. On the other hand, diversity is one of the most popular concepts in media. Focusing on media’s role on creating and distributing stereotypes and cultural images, this course aims to inform students about major theories on media, diversity and discrimination issues, to develop a critical perspective on media coverage and to be an occasion for students to deeply discuss about current media content. |
Week |
Subject |
Related Preparation |
1) |
Introduction to the course |
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2) |
Key concepts: stereotypes, discrimination, media pluralism and diversity |
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3) |
Cultural diversity and minority groups 1: race and ethnicity |
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4) |
Cultural diversity and minority groups 2: religion and ethnicity |
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5) |
Discussion: Fact-Checking 101 |
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6) |
Peace studies: Structural and cultural violence |
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7) |
Gender studies part 1: image, role and social conditions of women
Gender studies part 2: representation of LGBTQI+ and sexual orientation |
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8) |
People with disabilities and age discrimination
Media representation of children and young people |
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9) |
Media pluralism and diversity |
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10) |
Media pluralism 2.0: Digital threats and democracy
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11) |
Discussion: Can an algorithm be racist? |
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12) |
Presentations |
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13) |
Presentations |
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14) |
Review of the term |
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Program Outcomes |
Level of Contribution |
1) |
Have sufficient background in mathematics, science and artificial intelligence engineering. |
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2) |
Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions. |
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3) |
Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose. |
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4) |
Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction. |
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5) |
Select and use modern techniques and tools necessary for engineering applications. |
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6) |
Design and conduct experiments, collect data, and analyse and interpret results. |
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7) |
Work effectively both as an individual and as a multi-disciplinary team member. |
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8) |
Access information via conducting literature research, using databases and other resources |
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9) |
Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning. |
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10) |
Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field. |
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11) |
Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level. |
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12) |
Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age. |
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13) |
Have a sense of professional and ethical responsibility. |
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14) |
Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices. |
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