CSCI0467A-F24
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) 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) 3 hrs. lect./lab.
- Term:
- Fall 2024
- Location:
- 75 Shannon Street 203(75SHS 203)
- Schedule:
- 2:15pm-3:30pm on Monday, Wednesday (Sep 9, 2024 to Dec 9, 2024)
- Type:
- Lecture
- Course Modality:
- In-Person
- 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):
- 92463
- Subject Code:
- CSCI
- Course Number:
- 0467
- Section Identifier:
- A