ITC 555 - Data Visualization

Credit Hours: 3
This course introduces data visualization concepts, principles, techniques and tools. Data visualization is an effective approach to discover insights from data. It is a necessary component in the skills portfolio of a data analytics professional. Students will learn relevant principles from fields such as psychology and human computer interaction. This course is designed as hands-on, experience oriented. The principles, concepts, ideas and insights discovering are taught by using data visualization software. The designed learning outcome is that students are able to (1) interpret and explain commonly used data visualization presentations, (2) suggest visualization methods for specific decision making purpose, (3) understand special features of visualization formats such as possible biases that readers may be subject to, and (4) use a software package to design and implement a visualization project. May be taught concurrently with ITC 655. The graduate level (655) students will have a significant research project required above and beyond the undergraduate level (555) students. Cannot receive credit for both ITC 555 and 655.

Prerequisite: QBA 237; and undergraduate business majors must be admitted to degree program.
Lecture contact hours: 3

Typically offered: Fall, Spring