IS4720 Quantitative Methods for Research

This course equips Information Science doctoral students with the quantitative methods necessary to support dissertation research, using real-world project data and case studies. Topics include: defining research objectives, formulating and testing hypotheses, designing experiments, developing analytic and simulation models, collecting data, analyzing data, validating models, using quantitative software tools, and presenting results in written and oral reports. Prerequisites: None.

Lecture Hours

3

Lab Hours

2

Quarter Offered

  • As Required
  • Summer