This emphasis is all about machine learning, artificial intelligence, computer vision and data visualization for artists as tools for design and storytelling.
- Data Visualization
- Artifical Intelligence
- Machine Learning
- Smart Environments
What is an emphasis?
In the second year, BFA-EMA students will select two emphases (undergraduate specialty areas). Each emphasis consists of a minimum of four courses. Data + Art is one emphasis option. The chart below shows how an emphasis makes up one part of the emerging media curriculum.
|Total in Degree||120|
Data + Art Emphasis Courses
The Data + Art emphasis consists of the following courses. These courses will be taken in addition to the core courses, a second required emphasis, an interdisciplinary concentration, electives, and general education (ACE) courses. See detailed degree and curriculum information at go.unl.edu/bfa-ema.
Machine Intelligence for Artists (EMAR 349)
An approachable introduction to machine learning for people with minimal computer science background.
Data Visualization (EMAR 348)
Data is the new oil, and data visualization is telling the story of that data in visual, sonic and/or haptic ways.
Creative Machines (EMAR 445)
Building on EMAR 349, students explore the question of “Can we use machine learning and artificial intelligence to create compelling art and music?
Smart Environments (EMAR 345)
Introduction to smart environments and the Internet of Things, sensors, smartlighting, smart sound, geospatial projection mapping.