Doctoral Programs
CIS Course Descriptions

Course Prefix/Number: CIS 9280

Course Title:  Quantitative Research Methods in Information Systems

Prerequisite: None

Course Description:

This course develops skills in designing, evaluating, and understanding quantitative methods and methodologies for IS research. Students will also acquire skills in developing research proposals, supporting methodological choices, and understanding how to successfully publish their work.

This course presents topics in quantitative methods and develops skills in designing, evaluating, and understanding quantitative methods and methodologies for IS research. It iwll develop skills in designing, evaluating, and understanding the trade-offs of various research methods. Each topic course provides a survey of the methodlogical literature on quantitative research methods paired with appropriate article-length exemplars in the IS domain. The feasible set of topics covered bivariate and multivariate statistical techniques, simulation, optimization methods, and disseminating research findings.

Learning Objectives:

At the conclusion of the course, students should be able to: 

  • Define and describe essential characteristics of the major quantitative research methods covered in the course 
  • Discuss, in oral and written form, key philosophies of science and intellectual currents underlying the domain(s) of study
  • Identifying potential research designs and select one that will obtain the desired results
  • Formulate research design, data analysis, and evaluation techniques for research projects
  • Present a cogent argument, in written and oral form, for a selected research topic in information systems, the importance of a selected research, for the literature that has been advanced in this area, and for a research method appropriate for studying this research area
  • Describe the process of preparing manuscripts for publication and effectively presenting ideas to a journal readership

 



 

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