AIT 622: Determining Needs for Complex Big Data Systems
Course Information from University Catalog
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
Admission to a graduate program in Applied IT or Health Informatics, or permission of the instructor.