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Last updated July 2009

The following lists some of my recent teaching activities

• PhD dissertations: I am listing below only my advisees who have graduated. There are a few others who are in the process of developing their dissertation research and still others who are finishing their course work. I am on the committee of numerous other PhD students.

  Name	Dissertation Title/Graduation Date	Current Employment	Picture
  Iftikhar U. Sikder	Uncertainty Management in Empirical Knowledge Discovery and Classification in Spatial Databases, August 2003	Associate Professor (tenured), Computer and Information Systems, Cleveland State University	Graduation picture
  Zhensen Huang	The Value of Information Sharing in Supply Chain Management with Demand Uncertainty, May 2004	IT Director, Financial Industry Regulatory Authority (FINRA), formerly NASD	Graduation picture
  Navin Kumar	Exploring Multidimensional Data Cubes Using Skewness Based Navigation Rules, August 2006	Technical Lead, Advisory Board Company	Picture
  Shibnath Mukherjee	Efficient Data Reduction and Privacy Preserving Frameworks for Distance-based Data Mining Algorithms, May 2007	Yahoo! Research and Decelopment, India
  Pimwadee Chaovalit	Clustering by Example and Variable for Transient Data Streams, May 2009	National Science and Technology Development Agency, Thailand	Picture

   

• Graduate courses
  • IS 698/800: Special Topics in  Information Systems

    • The purpose of this course is to provide a comprehensive foundation to apply formal research methods in solving problems in Information Systems. This course should enhance students’ reasoning and problem-solving abilities, particularly in dealing with algorithmic problems. More specifically, the course has the following objectives: (1) Familiarize students with the concepts and applications of mathematics to solve computational problems, and (2) teach students how to think and formalize problems algorithmically.

  • IS620: Advanced topics in database management
    • This is a second graduate level course on database that deals with advanced database applications such as object-relational databases, Internet applications including XML databases, database applications for decision support including warehousing and mining (introductory concepts), transactions models, spatial databases etc. I am no longer teaching this course but might get back to it in the future.
  •  IS733: Data Warehousing and mining
    •  This is a graduate level course on how data warehousing and mining techniques are used in organizational decision making. Finding the "nuggets" in the ever increasing organizational data is a challenging problem with tremendous potential rewards. This is a content-heavy course that covers dimensional modeling, data warehouse architecture and design, data preprocessing, as well as algorithms for association rules, classification, and clustering. There are typically hands-on components for both data warehousing and mining using commercial software.
  •  IS633: Database Management Systems
    • This is the only database course in our online Masters program. It covers the traditional database topics including relational model, ER modeling, normalization, SQL, transaction management, object-oriented databases, and web-database development.

• Undergraduate courses
  • IS 420: Advanced database applications

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