CSCI0467A-S20
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 2020
- Location:
- 75 Shannon Street 224(75SHS 224)
- Schedule:
- 1:30pm-2:45pm on Tuesday, Thursday (Feb 10, 2020 to May 11, 2020)
- 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):
- 22463
- Subject Code:
- CSCI
- Course Number:
- 0467
- Section Identifier:
- A