IFD:SMPH SoSe22: Difference between revisions

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Assignment: If you have not done so already, for next week please review the following:<br />
Assignment: If you have not done so already, for next week please review the following:<br />
[https://web.stanford.edu/class/history34q/readings/Baudrillard/Baudrillard_Simulacra.html "Simulacra and Simulation"] by Jean Baudrillard<br />
[https://web.stanford.edu/class/history34q/readings/Baudrillard/Baudrillard_Simulacra.html ''Simulacra and Simulation''] by Jean Baudrillard<br />
and prepare for next week's experiment 'New Identity, Who Dis?'<br />
and prepare for next week's experiment 'New Identity, Who Dis?'<br />
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Revision as of 11:08, 12 April 2022

Projektmodul / Project Module
Synthetic Media for Parallel Hyperrealities
Instructor: Vertr.-Prof. Jason Reizner
Credits: 18 ECTS, 16 SWS
Capacity: max. 12 students
Language: English
Date: Plenum: Tuesdays, 13:30-17:00; Consultations by appointment
Location: Online/Marienstraße 7b
First Meeting: 12 April 2022, 13:30 on BBB
(Link to online meeting will be sent to accepted participants by email.)
BISON Course ID: [TBA]

Description


The simulacrum is never that which conceals the truth
– it is the truth which conceals that there is none.
The simulacrum is true.

– Jean Baudrillard, Simulacres et Simulation, 1981


In a world where machines have become more than capable of autonomously generating (seemingly) credible newspaper articles, danceable techno tracks, adorable cat memes and plausible Nicolas Cage videos, the ability to algorithmically produce and transform digital media forms – so-called deepfakes – has arrived on the desktops and devices of millions. This project module focuses not on the demise of the distinction between real and rendered, but on a future where this distinction becomes increasingly blurred and irrelevant.

Through a series of lectures, workshops and targeted discussions, participants will address topics including human and artificial intelligence, generative and autonomous systems, supervised and unsupervised machine learning, neural networks, GANs and hyperreality, and will engage with state-of-the-art tools and methodologies for the synthetic production of text, images and audiovisual media.

Admission requirements

Enrollment in MKG/MAD MFA or MediaArchitecture MSc programs

Application and registration procedure

Application with CV and Statement of Motivation to jason.reizner [ät] uni-weimar.de

Evaluation

Successful completion of the course is dependent on regular attendance, active participation, completion of assignments and delivery of a relevant semester prototype and documentation. Please refer to the Evaluation Rubric for more details.

Eligible participants

MFA Medienkunst/-gestaltung, MFA Media Art and Design, MSc MediaArchitecture candidates

Platforms and Tools

This Wiki
BigBlueButton (only as necessary)
Cisco WebEx
Are.na
MURAL
Miro
Google Jamboard

Syllabus (subject to change)

12 April 2022 / Week 1
Introduction
Course Organization
Administrative Housekeeping

Assignment: If you have not done so already, for next week please review the following:
Simulacra and Simulation by Jean Baudrillard
and prepare for next week's experiment 'New Identity, Who Dis?'



19 April 2022 / Week 2
Fake Synthetic Media
Algorithmic, Computational & Generative Forms

Assignment: Please watch [https://archive.org/details/f-for-fake F for Fake (Orson Welles, 1975)


26 April 2022 / Week 3
Project Roundtable I

Assignment: TBA



3 May 2022 / Week 4
Guest Lecture with Prof. Mario Verdicchio, University of Bergamo (IT)

Assignment: TBA



10 May 2022 / Week 5
From Machine Learning to Machine Intelligence

Assignment: TBA




17 May 2022 / Week 6
GPT Lab

Assignment: TBA



24 May 2022 / Week 7
Midterm Presentations

Assignment: TBA



31 May 2022 / Week 8
GAN Lab

Assignment: TBA



7 June 2022 / Week 9
Deepfake Lab I

Assignment: TBA



14 June 2022 / Week 10
Deepfake Lab II

Assignment: TBA



21 June 2022 / Week 11
Project Roundtable II

Assignment: TBA



28 June 2022 / Week 12
Debug Lab

Assignment: TBA



5 July 2022 / Week 13
No Class: xCoAx2022

Assignment: TBA



12 July 2022 / Week 14
Final Presentations