CCOG for MUC 261 Fall 2022
- Course Number:
- MUC 261
- Course Title:
- Data Visualization & Sonification
- Credit Hours:
- Lecture Hours:
- Lecture/Lab Hours:
- Lab Hours:
Intended Outcomes for the course
Upon completion of the course students should be able to:
- Apply visualization and sonification techniques to data to enhance comprehension and express new insights while noting the advantages and disadvantages of different techniques.
- Compare and contrast the accessibility for target audiences of different audiovisual representations of data.
- Create data sets using common tools and processes.
- Identify how visualizations and sonifications can misrepresent their source data in order to skew the audience’s perception about what the data suggests.
- Acquire and visualize or sonify public data, such as municipal or environmental data, to create public benefits.
- Apply the principles of data visualization and sonification to emerging technologies and interfaces, such as augmented, virtual, and mixed reality.
Course Activities and Design
The material in this course will be presented in a classroom lecture/discussion/demonstration format, and in class hands-on exercises. There will be required readings, projects, and may be short weekly assignments.
Outcome Assessment Strategies
Projects will be the major criteria for evaluation. Emphasis will be placed on creativity, presentations, and participation in collaborations and critiques. Additional methods of assessment may include quizzes, exercises, assignments, and attendance.
Course Content (Themes, Concepts, Issues and Skills)
- Visual and sonic representation of data, from traditional charts to the artistic and experimental.
- The value to an audience and society as a whole in visualizing data. How data may be skewed and propagandized.
- Common manipulations, challenges, and obfuscations of data representation.
- The study, understanding, and contextualization of data in relation to the broader Creative Coding curriculum.
- Practical applications of data visualization and sonification.
- Generating new datasets. Accessing and validating public datasets.