NMD3106 Cyberculture and Social NetworksBahçeşehir UniversityDegree Programs ARTIFICIAL INTELLIGENCE ENGINEERINGGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
ARTIFICIAL INTELLIGENCE ENGINEERING
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
NMD3106 Cyberculture and Social Networks Spring 3 0 3 5
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Non-Departmental Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator : Dr. Öğr. Üyesi SİNAN AŞÇI
Course Lecturer(s): Dr. Öğr. Üyesi SİNAN AŞÇI
Recommended Optional Program Components: None.
Course Objectives: Aim of the course to help students develop advanced philosophical, historical and anthropological viewpoints on the issues of cyberculture and social networks and acquire the analytical skills necessary for putting this knowledge into practice.

Learning Outcomes

The students who have succeeded in this course;
- will be develop a historical understanding of the notion of cyberculture, from which historical moment it has first been developed to later adventures of the term,
- will be able to trace the notion of cyberculture in the contemporary world, through the different meanings and connotations it posesses today,
- will develop advanced knowedge about the avant-garde and niche practices which can be brough together under the umbrella cyberculture as a term,
- will be able to gather the skills required for a deep understanding of the importance in life of an ordinary person of the communication and interaction modalities which can be associated with cyberculture and of the significance social networks play within this framework.

Course Content

The main elements of the content of this course are composed of original texts that contribute to the generation of the term, studies with philosophical and anthropological approaches to the issue and texts and applications that deal with the place of cyberculture in the contemporary world.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Culture vs. Digital Culture & Cyberculture
2) History of the Internet
3) Digital Technology and Society
4) Digital Media in Everyday Life
5) Self and Identity Online
6) Subjectivity and Self-constitution
7) Digital and Daily Practices of Self-representation
8) Midterm
9) Online Communities
10) Digital Divide and Social Divisions
11) Mobile - Network Culture
12) Networked Media, Information and Democratic Discussion
13) Algorithms
14) Discussion of the overall topics

Sources

Course Notes / Textbooks: 1) Manovich, Lev (2009). “The Practice of Everyday (Media) Life: From Mass Consumption to Mass Cultural Production?” Critical Inquiry, Vol. 35, pp. 319-331.
2) Sauter, Theresa. “'What's on your mind?' Writing on Facebook as a tool for self-formation.” New Media & Society 16 (2014): 823-839.
3) Fred Turner, “Burning Man at Google: A Cultural Infrastructure for New Media Production,” New Media & Society, April 2009.
4) Wilson, S. M., & Peterson, L. C. (2002). The Anthropology of Online Communities. Annual Review of Anthropology, 31(1), 449–467.
References:

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Quizzes 2 % 20
Midterms 1 % 30
Final 1 % 50
Total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 13 3 39
Study Hours Out of Class 14 6 84
Quizzes 2 2 4
Midterms 1 2 2
Final 1 2 2
Total Workload 131

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Have sufficient background in mathematics, science and artificial intelligence engineering.
2) Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions.
3) Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose.
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.
5) Select and use modern techniques and tools necessary for engineering applications.
6) Design and conduct experiments, collect data, and analyse and interpret results.
7) Work effectively both as an individual and as a multi-disciplinary team member.
8) Access information via conducting literature research, using databases and other resources
9) Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning.
10) Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field.
11) Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level.
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.
13) Have a sense of professional and ethical responsibility.
14) Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices.