Mathematics (English) Preview
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code:

UNI362

Course Name:

Memory and Culture in New Media Ecology

Semester:

Spring
Fall

Course Credits:

ECTS

Language of instruction:

English

Course Condition:

Does the Course Require Work Experience?:

Yes

Type of course:

University Elective

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

E-Learning

Course Coordinator:

Doç. Dr. FERİDE ZEYNEP GÜDER

Course Lecturer(s):

Feride Zeynep Güder

Course Assistants:

Course Objective and Content

Course Objectives:

This course aims to focus on human memory through advances in technology and cultural transformations of contemporary society in digital networks. The course is designed to embrace both theoretical arguments and narratives in the new media ecology through interdisciplinary perspectives that focus on the sociological, political, philosophical, ontological, and cultural trajectories of technology. Students are expected to analyse digital media contents, narrative genres, collective and personal memory, and historical letters, as well as some topics such as hive mind, posthumanism, artificial intelligence, collective trauma, connective turns, myths, hatred, healing discourses, post-truth, and conflicting ideologies.

Course Content:

This course aims to discuss human memory through advances in technology and cultural transformations of contemporary society in digital networks. The course is designed to embrace both theoretical arguments and narratives in the New Media Ecology and Critical Memory studies through interdisciplinary perspectives that focus on the major debates and theoretical frameworks of the analyses of digital society and identifies and analyses key epistemological, sociological, political, philosophical, and ontological assumptions underlying social research as well as cultural trajectories of technology.
The course examines the impact of digital culture and critically assesses technology’s role in society and memory. It explores how digital media challenges traditional notions of identity, community, the body, politics, and personal relationships.

Learning Outcomes

The students who have succeeded in this course;
1) Students taking this course will be able to discuss the relationship between Memory and the Digital Revolution.
2) Students will be able to analyze the digitalized world with a focus on memory and culture through sociological, political, philosophical and cultural aspects of technology and networked popular culture.
3) Students will understand specific concepts and terminologies related to memory and culture in New Media Ecology.
4) Students will be able to read and speak on specific topics related to the course content, such as artificial intelligence and hive minds, collective trauma, connective returns, cultural memory, cultural identity and ideologies, tangible and intangible memories, myths and digital narratives, media memory, hatred and forgiveness, healing discourses and conflicting ideologies.
5) Students will be able to critically analyze and discuss memory and culture.
6) Students will be able to follow debates on historical materialism, philosophy of history, the role of redemption and peaceful discourse in digital media. Students will be able to analyze the post-truth era and develop their own perspectives on presentism and cynical attitudes towards history.
7) Students will be able to engage in discussions on various topics related to futuristic aspects of memory: Astrobiology, Transhumanism, Posthumanism, Cyborgs, Anthropocentrism, Negantropocene, Multi-planetary life and Cyberpunk.
8) Students will talk about anthropocentric life from anthropocentrism to posthumanism.
9) Students will be able to read and talk about Big Data, Data Mining, Data Management, Data Surveillance and Dystopia. The course also explores the darker sides of digital media history narratives.
10) Students can develop critical reading skills through their own interpretations, focusing on the cultural archaeology of popular digital culture and discourses on digital media.

Course Flow Plan

Week	Subject	Related Preparation
1)	Introduction of the Course. What are the merits and demerits of the digital, networked, information Age? Retrospective analysis of the cultural meaning of technology.
2)	What is Media Ecology? Introduction to Memory Studies. Collective Memory and The main components of collective memory and cultural identity. Looking critical to Digital Age and Culture. Main Discussions. Digital Storytelling, Media, and Technological Determinism: The economic, political, and cultural transition as far-reaching as the Industrial Revolution of the early 19th century. The emergence of urban print culture in the 15th. the changing roles of the reader and writer in interactive digital texts and the inherently collaborative nature of digital narratives. Algorithms, Future of AI. Günther Anders: The Role of Technology, Heidegger Gestell, Bernard Stiegler on Techniques.
3)	A meta-level discussion of some important key terminologies: Hive mind, posthumanism, artificial intelligence, collective trauma, binding turns, myths, hatred, healing discourses, post-truth and conflicting ideologies, competitive memory, immanent subject, Social Media, Hypermedia, post-memory, Digital Postmodernism, Digital Aesthetics, Neuroscience, Neuropolitics, Neuropsychology, Technocommunication, Futurism, Artificial Consciousness, AI, VR, XR, MR, Metaverse, Transhumanism, Posthumanism, Cyborgs, Anthropocentrism, Negantropocene, Cyberpunk, Big Data, Data Mining, Data Management, Dataveillance, Dystopia.
4)	Assman: Individual, Social, and Cultural Memory, (pdf) Analysis of Media Memory, Media Memory: Theory and Methodologies, Halbwachs's thought, the philosophy of Henri Bergson, Annales school of social and intellectual history: the historians Marc Bloch and Lucien Febvre, Cultural Memory and Early Civilization: Writing, Remembrance, and Political Imagination-Jan Assmann
5)	Media Memory, Ethics, and Witnessing, New Media Memory, Memory, and Digital Media: Six Dynamics of the Globital Memory Field
6)	Media Memory and Popular Culture, Media Memory, Journalism, and Journalistic Practice, Journalism as an Agent of Prospective Memory, Archive, Media, Trauma
7)	Midterm
8)	Archive, Media, Trauma, Students’ analysis of Digital Media Discourses and presentation on Memory and Culture in New Media Ecology
9)	Students' presentations on the analysis of Digital Media Discourses and Memory and Culture in New Media Ecology
10)	Students' presentations on the analysis of Digital Media Discourses and Memory and Culture in New Media Ecology
11)	Students' presentations on the analysis of Digital Media Discourses and Memory and Culture in New Media Ecology
12)	Students' presentations on the analysis of Digital Media Discourses and Memory and Culture in New Media Ecology
13)	Students' presentations on the analysis of Digital Media Discourses and Memory and Culture in New Media Ecology
14)	Students' presentations on the analysis of Digital Media Discourses and Memory and Culture in New Media Ecology
15)	Evaluation of Memory and Culture Debates in the Context of New Media Ecology

Sources

Course Notes / Textbooks:

Assman, Jan, Cultural Memory and Early Civilization: Writing, Remembrance, and Political Imagination-Jan assman
Assman, Jan, Communicative and Cultural Memory.
Media Ecologies On Media Memory:
Halbwachs, Maurice, On Collective Memory
Critique of Cynical Reason,
Crary, Jonathan Yeryüzü Yakılıp Yıkılırken
Ranciere Distribution of the Sensible,
Jeffrey K. Olick Vered Vinitzky-Seroussi Daniel Levy, The Collective Memory Reader, Oxford,
Penley, Constance Andrew Ross, editors, Technoculture
Sahai, S. (2023). The Collective Memory. The Southeast Asian Review.
Miller, Vincent. Understanding digital culture
Simon Lindgren, Digital Media, and Society,
Grant David Bollmer, Theorizing Digital Cultures

References:

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3	4	5	6	7	8	9	10
Program Outcomes
1) Have the knowledge of the scope, history, applications, problems, methods of mathematics and knowledge that will be beneficial to humanity as both scientific and intellectual discipline.
2) Have the ability to establish a relationship between mathematics and other disciplines and develop mathematical models for interdisciplinary problems.
3) Have the ability to define, formulate and analyze real life problems with statistical and mathematical techniques.
4) Have the ability to think analytically and use the time effectively in the process of deduction.
5) Have the ability to search the literature, understand and interpret scientific articles.
6) Have the knowledge of basic software to be able to work in the related fields of computer science and have the ability to use information technologies at an advanced level of the European Computer Driving License.
7) Have the ability to work efficiently in interdisciplinary teams.
8) Have the ability to communicate effectively in oral and written form, write effective reports and comprehend the written reports, make effective presentations.
9) Have the consciousness of professional and ethical responsibility and acting ethically; have the knowledge about academic standards.
10) Have the ability to use a foreign language at least at B1 level in terms of European Language Portfolio criteria.
11) Are aware of the necessity of lifelong learning; have the ability to access information, to follow developments in science and technology and to constantly renew themselves.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	Have the knowledge of the scope, history, applications, problems, methods of mathematics and knowledge that will be beneficial to humanity as both scientific and intellectual discipline.
2)	Have the ability to establish a relationship between mathematics and other disciplines and develop mathematical models for interdisciplinary problems.
3)	Have the ability to define, formulate and analyze real life problems with statistical and mathematical techniques.
4)	Have the ability to think analytically and use the time effectively in the process of deduction.
5)	Have the ability to search the literature, understand and interpret scientific articles.
6)	Have the knowledge of basic software to be able to work in the related fields of computer science and have the ability to use information technologies at an advanced level of the European Computer Driving License.
7)	Have the ability to work efficiently in interdisciplinary teams.
8)	Have the ability to communicate effectively in oral and written form, write effective reports and comprehend the written reports, make effective presentations.
9)	Have the consciousness of professional and ethical responsibility and acting ethically; have the knowledge about academic standards.
10)	Have the ability to use a foreign language at least at B1 level in terms of European Language Portfolio criteria.
11)	Are aware of the necessity of lifelong learning; have the ability to access information, to follow developments in science and technology and to constantly renew themselves.

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Homework Assignments	1	% 20
Project	1	% 30
Final	1	% 50
total		% 100
PERCENTAGE OF SEMESTER WORK		% 50
PERCENTAGE OF FINAL WORK		% 50
total		% 100

Workload and ECTS Credit Calculation

Activities	Number of Activities	Workload
Course Hours	16	52
Presentations / Seminar	16	32
Homework Assignments	16	32
Total Workload		116