George Mason University
George Mason University Mason
George Mason University

AIT 622: Determining Needs for Complex Big Data Systems

Course Information from University Catalog

Not Repeatable


Explores Big Data Systems Engineering methodologies for consensus in system needs among stakeholders having different perspectives, competing objectives. Course goal is more efficient delivery of results coming from the rigor of traditional methods. Traditional methods establish foundation for extensions to non-traditional, streamlining methods. Principles, explained and demonstrated, are applied by students to a case study based project and individual assignments/labs.

When Offered: Fall, Spring

Hours of Lecture or Seminar per week: 3

Credits: 3

Prerequisites:

Admission to a graduate program in Applied IT or Health Informatics, or permission of the instructor.

2 Course Sections Scheduled for Fall 2017

2 Course Sections Scheduled for Fall 2018

2 Course Sections Scheduled for Spring 2018

Expertise