Quantitative Methods for Research

Course #IS4720

Est.imated Completion Time: 3 months

Overview

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.

Included in degrees & certificates

  • 473
Offerings database access
Asset Publisher

Academic Calendar

  •  06 Jun 2023

    Spring quarter pre-graduation awards ceremony

  •  09 Jun 2023

    Spring quarter last day of classes

  •  13 Jun 2023

    Spring quarter final examinations begin