Information Package
baskent.edu.tr

Program of Radio, Television and Cinema (English 30%)

EILF407

VIRTUAL CULTURE

Course Code
EILF407
Semester
-
Theory+Practice
3 + 0
ECTS
5
Course TypeElective Course
Course LevelBachelor's Degree
Year of Study-
Semester-
ECTS5
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. Know the role and the importance of the new media in contemporary globalized cultures,
  2. Will be able to discuss the effects of AI technologies (e.g., algorithms, generative AI, content recommendation systems) on culture, identity, and society.
  3. Will be able to evaluate the ethical, social, and cultural dimensions of AI-based tools in digital cultural environments.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionIn the broadest sense, emerging technologies and the emerging communities they form can play a very significant role in your life, your career, and humanity's potential possibilities. In order to understand these digital cultures, this course is designed to teach you concepts, processes, and experience. This means that when the course is over, you will have an example of original research that you can use when applying for employment or graduate school. The ability to work on a research and also to do original thinking and original research is highly valued in today?s job market and also in higher education.
Course Contents
WEEK TOPICS
1st Week Digital Theory
2nd Week Understanding Digital Culture
3rd Week On the net
4th Week Digital TV
5th Week Digital art
6th Week Digital play
7th Week Midterm
8th Week Digital music
9th Week Digital democracy
10th Week New media
11th Week Digital device
12th Week Digital sociology
13th Week Self representation and Digital culture
14th Week Final
Recommended or Required ReadingVirtual Culture: The Way We Work Doesn't Work Anymore, a Manifesto Book by Bryan Miles
Virtual Culture: Identity and Communication in Cybersociety by Steven Jones
Helbing, D. (2023). Artificial Intelligence and Society: Risks and Opportunities. Springer.
Crawford, K. (2021). Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence. Yale University Press.
Floridi, L., & Cowls, J. (2022). A Unified Framework of Five Principles for AI in Society. Harvard Data Science Review, 4(1).
Planned Learning Activities and Teaching Methods
  • Lecture
  • Discussion
  • Presentation
  • Project
Assessment Methods and Criteria
Quantity Percentage (%)
Oral Exam 1 40
Attendance 1 10
Total(%) 50
Contribution of In-term Studies to Overall Grade(%) 50
Contribution of Final Examination to Overall Grade(%) 50
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 2 2
Preparation for Quiz
Individual or group work
Preparation for Final exam 1 40 40
Course hours 14 3 42
Preparation for Midterm exam 1 40 40
Laboratory (including preparation)
Final exam 1 2 2
Homework 2 15 30
Total Work Load156
Total Work Load / 30 (h)5.2
ECTS Credit of the Course5
Language of InstructionEnglish
Work Placement(s)No

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