Artistic Research 2
| Code | Completion | Credits | Range | Language Instruction | Semester |
|---|---|---|---|---|---|
| 307AR2 | exam | 6 | 6 hours (45 min) of instruction per week, 96 to 126 hours of self-study | English | winter |
Subject guarantor
Name of lecturer(s)
Barbora MRÁZKOVÁ, Tereza VELÍKOVÁ
Department
The subject provides Department of Photography
Contents
This course continues the work of Artistic Research 1, expanding basic knowledge
and skills in the field of artistic research. Emphasis is placed on choosing appropriate methodology and systematically developing research questions and placing them in broader theoretical and social contexts. Students learn to define and articulate their concepts and present their projects in group discussions.
Learning outcomes
The semester theme focuses on algorithms from different perspectives.
Students will explore how images generated by artificial intelligence are based on hidden structures and how these processes shape our perceptions, tastes, and decisions. At the same time, we will look at algorithms in a broader cultural and anthropological context—as cultural artifacts and mechanisms that influence the ways we treat images, the workflows we choose, and how our digital and physical behavior patterns intersect.
Students will become familiar with key concepts in artistic research (invisible processes that determine the outcome, data extraction and harvesting, „phygital“ realities, collective creation, and the algorithm of collaboration).
The course will include field trips and an online lecture and discussion with contemporary artist Jörg Sasse.
The final outcome is the presentation of each student's own project.
Prerequisites and other requirements
Requirred:
LEE, Rosemary. Algorithm Image Art. Atropos Press, 2024.
WARK, McKenzie. Capital Is Dead: Is This Something Worse? Verso Books, 2019.
Literature
Recommended:
STEYERL Hito,Mean Images
PIORECKÝ, Karel a HUSÁROVÁ, Zuzana. The culture of neural networks: synthetic literature and art in (not only) the Czech and Slovak context. Czech literature studies. Praha: Institute of Czech Literature of the CAS, 2024.
DAVID M. BERRY. Synthetic media and computational capitalism: towards a critical theory of artificial intelligence. Online. AI & Society. 2025.
RUCKENSTEIN, Minna. The Feel of Algorithms. Univ of California Press, 2023.
Evaluation methods and criteria
The course is concluded with a pass/fail credit.
Requirements:
Regular attendance (min. 80 %)
Active participation in discussions and workshops
Research review (textual and visual) related to the student’s project
The final outcome is the presentation of each student's own project.
Note
Bára Mrázková baramraz@email.cz
Tereza Velíková velter@seznam.cz
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Schedule for winter semester 2025/2026:
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06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
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| Date | Day | Time | Tutor | Location | Notes | No. of paralel |
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| Tue | 09:00–13:00 | Barbora MRÁZKOVÁ | Room. No. 111 Lažanský palác |
lecture parallel1 |
Schedule for summer semester 2025/2026:
The schedule has not yet been prepared
The subject is a part of the following study plans
- Photography CZ - Master_2021 (Required subjects)
- Photography EN - Master - 2022 (Required subjects)