D.Sc. Summer 2012 Schedule

First 6-Week Session, May 14- June 22

INFS 792 Topics: Predictive Analytics for Decision Making (3 cr. hrs)
Course Description: This course provides a broad understanding of the state of the research and practice of predictive analytics, while emphasizing its applications for decision-making in different domains. It provides an introduction to predictive analytics lifecycle to address business challenges that leverage big data. Applications of predictive analytic techniques are emphasized through example scenarios, case studies, research articles, as well as extensive hand-on exercises with techniques, relevant technologies and tools. From a research standpoint, the course includes discussion on research opportunities for applying predictive analytics in different domains. Upon completing the course, students will have the knowledge and practical experience to participate effectively in predictive analytics projects or pursue research topics in this area.
   Delivery Methods:
      o Internet
   Instructor: Amit Deokar, Amit.Deokar@dsu.edu

INFS 890 Seminar (1 cr.)
Delivery Methods:
o Internet
Instructor: Amit Deokar, Amit.Deokar@dsu.edu

Second 6-Week Session, June 25 – August 3

INFS 892 Topics: Theory Development and Use in Design Research (3 cr. hrs.)
Pre-requisites: INFS 805 or INFS 810 or INFS 815 or Instructor permission.
Course Description: This course focuses on theory development and use in design science research through intensive research in a specific topic area. Students will select one of three approaches described below in their topic area to develop a conceptual paper by the end of the semester. Information Systems Design Theories: In-depth analysis of behavioral research in specific topic areas and the development of information system design theories to address IS design problems in the area. Formal Models and Design Frameworks: Use for mathematical modeling techniques such as set theory, graph theory, and logic based mechanisms to model information system problems and develop information system design frameworks. Simulation-based Socio-Technical Theories: Use of social network analysis, data-mining and agent-based simulation tools to understand and model socio-technical systems.

Additional course information: The course includes twice a week synchronous small group or 1-on-1 meetings with instructor using Elluminate or tele-conference.
   Delivery Methods:
      o Internet
   Instructor: Surendra Sarnikar, Surendra.Sarnikar@dsu.edu