Economics (English)
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
Course Credits:
ECTS
5
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: 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

Course - Program Learning Outcome Relationship

Course Learning Outcomes

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Program Outcomes
1) They have a broad and interdisciplinary perspective on economics using other social sciences and mathematics.
2) They have knowledge and skill about different functions and interactions of economy.
3) They use different theoretical approaches to comprehend and solve various economic problems.
4) They are aware of the needs of society and use their knowledge of economics to meet these needs.
5) They have in-depth knowledge on the current issues of the Turkish economy and the global economy.
6) They have in-depth knowledge on the history of the Turkish economy and basic level knowledge on the history of the global economy.
7) Using various statistical techniques and numerical methods, they establish correct economic models and make analyzes by using statistical programs effectively.
8) They use a foreign language at least at the B1 General Level in terms of European Language Portfolio criteria according to the level of education.
9) They improve their skills of teamwork, negotiation, leadership and entrepreneurship.
10) They have universal ethical values, social responsibility awareness and adequate knowledge of business law.
11) Being able to develop positive attitudes with regards to lifelong learning, they identify their individual learning needs and carry out studies to fulfil them.
12) They express their ideas and solution proposals concerning their field both written and orally, and present and publish them on both national and international platforms.
13) They use information and communication technologies together with a computer software required by the field at least at advanced level of European Computer Driving License .

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Average 3 Highest
       
Program Outcomes Level of Contribution
1) They have a broad and interdisciplinary perspective on economics using other social sciences and mathematics.
2) They have knowledge and skill about different functions and interactions of economy.
3) They use different theoretical approaches to comprehend and solve various economic problems.
4) They are aware of the needs of society and use their knowledge of economics to meet these needs.
5) They have in-depth knowledge on the current issues of the Turkish economy and the global economy.
6) They have in-depth knowledge on the history of the Turkish economy and basic level knowledge on the history of the global economy.
7) Using various statistical techniques and numerical methods, they establish correct economic models and make analyzes by using statistical programs effectively.
8) They use a foreign language at least at the B1 General Level in terms of European Language Portfolio criteria according to the level of education.
9) They improve their skills of teamwork, negotiation, leadership and entrepreneurship.
10) They have universal ethical values, social responsibility awareness and adequate knowledge of business law.
11) Being able to develop positive attitudes with regards to lifelong learning, they identify their individual learning needs and carry out studies to fulfil them.
12) They express their ideas and solution proposals concerning their field both written and orally, and present and publish them on both national and international platforms.
13) They use information and communication technologies together with a computer software required by the field at least at advanced level of European Computer Driving License .

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