CSCI0467A-S23
Generative Art
Generative Art
In this course we will explore the field of generative art – the artistic practice based on the creation of processes that yield art and design as an output. Through projects, we will find new applications for computing techniques such as visualization, physical simulation, stochastic processes, agent-based modeling, iterated function systems, fractals, genetic algorithms and machine learning. A portion of the class will also be devoted to reading research literature and discussing the nature of computation creativity. A background in art is not required. (CSCI 0201) (not open to students who have taken CSCI 1003) 3 hrs. lect./lab.
In this course we will explore the field of generative art – the artistic practice based on the creation of processes that yield art and design as an output. Through projects, we will find new applications for computing techniques such as visualization, physical simulation, stochastic processes, agent-based modeling, iterated function systems, fractals, genetic algorithms and machine learning. A portion of the class will also be devoted to reading research literature and discussing the nature of computation creativity. A background in art is not required. (CSCI 0201) (not open to students who have taken CSCI 1003) 3 hrs. lect./lab.
- Term:
- Spring 2023
- Location:
- 75 Shannon Street 203(75SHS 203)
- Schedule:
- 2:15pm-3:30pm on Tuesday, Thursday (Feb 13, 2023 to May 15, 2023)
- Type:
- Lecture
- Instructors:
- Christopher Andrews
- Subject:
- Computer Science
- Department:
- Computer Science
- Division:
- Natural Sciences
- Requirements Fulfilled:
- ART DED
- Levels:
- Undergraduate
- Availability:
- View availability, prerequisites, and other requirements.
- Course Reference Number (CRN):
- 22373
- Subject Code:
- CSCI
- Course Number:
- 0467
- Section Identifier:
- A