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
NMD3104	Communication, New Media and Society	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 TİRŞE ERBAYSAL FİLİBELİ
Course Lecturer(s):	Dr. Öğr. Üyesi AYBERK CAN ERTUNA
Recommended Optional Program Components:	None.
Course Objectives:	This course is designed to introduce the students both the classical and contemporary arguments about construction of reality in traditional and new media and equip them with theoretical means to challenge various ways of information disorder.

Learning Outcomes

The students who have succeeded in this course;
The students who have succeeded in this course;
- Will have an understanding about the critical perspectives on construction of reality in traditional media.
- Will learn about opportunities and limits of social media tools.
- Will learn about the recent discussions about concepts such as 'information disorder' and 'fake news'.
- Will be able to critically analyse (new) media content.

Course Content

Yeni medya teknolojileri haber ve eğlence tüketim alışkanlıklarını çok hızlı değiştirecek bir şekilde gelişmeye devam etmektedir. Medya üretim ve tüketim pratiklerinin birbirine yaklaşması pasif tüketicinin yerini hem üreten hem tüketen 'üretketici'ye bırakmasına sebep oldu. Dolayısıyla yaşadığımız bu çağda, doğruluk, mahremiyet, sorumluluk gibi temel ilkelere bağlı kalma sözü veren geleneksel medya kuruluşlarının bilgi paylaşımı pratikleri birçok üretketici tarafından sorgulanıyor. Ancak, bilgi kirliliği yalnızca bu ağ toplumunun yarattığı durum neticesinde ortaya çıkan bir sonuç olmaktan öte hükümetlerden muhalif hareketlere kadar birçok farklı muhatabının olduğu bir düzensizlik durumu. Bu derste öğrenciler, yeni medya alanındaki bütün bu meseleleri teorik tartışmalarla güçlendirerek analiz edip tartışacak.

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Introduction and Overview of the Course
2)	News, truth and post-truth
3)	Making news: Critical analysis
4)	TV Journalism and 24-hour news cycle (National and international scale)
5)	Critical analysis of social media
6)	Social media and the future of journalism
7)	Social media and politics
8)	Social media and politics
9)	Social media and politics
10)	Post-truth era
11)	Social media age
12)	Project paper presentations & discussion
13)	Project paper presentations & discussion
14)	Final review of the term

Sources

Course Notes / Textbooks:

- The New Media Monopoly : Ben Bagdikian
- Hakikat Sonrası Çağ : Ralph Keyes
- Making News: Gaye Tuchman
- Manufacturing Consent: Edward Herman / Noam Chomsky
- On Television: Pierre Bourdieu
- Media on the Move: Daya Kishan Thussu
- Big Data (in Social Media): Christian Fuchs
- The Power and Political Economy of Social Media (in Social Media) Christian Fuchs
- Summarizing the Logic and Operations of Surveillance Capitalism: Shoshana Zuboff
- New Media and Changing Perceptions of surveillance: A. Albrechtslund
Politics 2.0: Social Media Campaigning: J. Baldwin – Philippi
- Nationalism on the social media (C. Fuchs)
Cambridge Analytica, IRS scandals
- Social Media and New Protest Movements: T. Poell & J. v. Dijck
- Challenges of filter bubbles and echochambers: C. Wardle, H. Derakhshan
- Social Media Marketing: M. Serazio & B.E. Duffy
- Self Representation in Social Media : J. W. Rettberg

References:

- Wag the Dog – Barry Levinson
- The loudest voice (ep. 1-2)
- Film: The Great Hack

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Attendance	14	% 10
Midterms	1	% 40
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	14	3	42
Study Hours Out of Class	14	5	70
Midterms	1	3	3
Final	1	3	3
Total Workload			118

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.