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Instructor



MAT594GL Techniques, History & Aesthetics of the Computational Photographic Image


George Legrady

Elings Hall, lab 2611, CNSI Building 2nd floor - Tues-Thurs 1-2:50pm


Course Information
An interdisciplinary course that examines, thorugh case studies, the state of the photographic image, its history, the theoretical, conceptual, and philosophical underpinnings. The course bridges studio arts, engineering, and humanities. This course may be of interest to artists, humanities researchers or programmers as there are three directions to explore:
  1. The aesthetic creative applications, opportunities and constraints,

  2. The computational processes from image processing to machine-learning, and

  3. The social considerations – to what degree can we believe in the image given the considerable software-based processing and autonomous image detail generation we are seeing through machine-learning processes.

The end goal is to investigate the photograph’s transformation through weekly presentations of projects, methods and discussion leading up to the impact of machine-learning on the creative process resulting in computational generated artworks.


Course Workload

Course workload includes attendance and participation at zoom lectures, followed by student presentations that can include either or both a research paper and project. For this kind of class, the zoom format works as it involves online accessible documents, individual research and production.

09/29

10/01


Course Overview, Introductions

Historical Analog Photographic Examples (1830-1990)

10/06

10/08


Optical Perspective, Point-of-View

Early Digital Photographic Explorations (1960-1990)

10/13

10/15


Image Processing Fundamentals

Computer Vision Fundamentals

10/20

10/22


Data, Signal & Noise/Glitch

Volumetric Data Points, Photogrammetry

10/27

10/29


Aesthetics as Organizational System

Computational Aesthetics

11/03

11/05


Vision Science & Neuro-Aesthetics

Generative Art

11/10

11/12


Machine-Learning, CNN, Deep Learning

Aesthetic Explorations of ML, CNN, DL

11/17

11/19


Aesthetic Explorations of ML, CNN, DL

Various Deep Fakes, Social Implications

11/24

11/26


Project Proposals

Project Proposals

12/01

12/03


Project Development

Project Development

12/08

12/10


Final Presentation & Reporting

Final Presentation & Reporting