Spring 2017 Course Announcements


DS 501 Wearable Technology

wearabletechposter

 

This class is meant to give students hands-on experience in building wearable computing platforms. Students will learn fundamentals of both AC and DC circuitry, weaving, basic microcontroller programming, techniques of sensor integration and interfacing for external machines. Students will produce a final project that will be showcased to the public. The class is designed for students who:

  • Have a background in textile and apparel design and are looking to take their work in new directions
  • Have a background in computer science or engineering and are looking to explore new interface technologies.
  • Have a background in media arts or robotics and have experience interfacing with microcontrollers and sensors

By the completion of the completion of the course students will:

  • Have fundamental knowledge of electronic circuitry, programming, and “maker skills” such as sowing, soldering,
    couching, and spinning.
  • Be able to successfully plan out, develop, document and create a project that utilizes technology and wearable
    components.
  • Be able to showcase work through poster and verbal communication in an event for the public.

See the 2016 course website: https://blogs.discovery.wisc.edu/wearable2016/

CS765 Data Visualization

Unofficial Title: Visualization: getting from data to understanding

image image image image

This course will explore the foundations of visualization: how we turn data into pictures to help in understanding or communicating it. We’ll cover visualization in the broad sense: including scientific visualization, information visualization (the presentation of abstract data), and visual analytics (the use of interactive tools for exploring large and/or complex data sets). Visualization is a mix of perceptual psychology, cognitive science, design, computer graphics, data analysis, statistics, human computer interaction, system building, etc. The course is aimed to serve two different types of students:

  • students who work with data and want to understand how to better use visualizations in their work (e.g. students in the sciences or humanities)
  • students who are interested in creating tools to help people work with data (e.g. computer scientists and statisticians)

This class is more about what pictures to make to understand data than how to make them. We will spend a lot of time understanding design principles. We will not spend lots of time talking about how to program visualizations, or how to use tools to make visualizations.

Read more: http://graphics.cs.wisc.edu/WP/vis17/course-announcement/