2013 Fall

• INFO 281-601 INTERMEDIATE BUSI STATISTICS
  Study of modern statistical techniques with emphasis on data analysis in a computer assisted environment. Topics include analysis of variance and experimental design, categorical data analysis, regression analysis, model building, time series analysis and index numbers. Prerequisites: INFO 111 or COSC 116, MATH 160 and a C or better in MATH 155. Three hours per week.

• INFO 281-602 INTERMEDIATE BUSI STATISTICS
  Study of modern statistical techniques with emphasis on data analysis in a computer assisted environment. Topics include analysis of variance and experimental design, categorical data analysis, regression analysis, model building, time series analysis and index numbers. Prerequisites: INFO 111 or COSC 116, MATH 160 and a C or better in MATH 155. Three hours per week.

• INFO 340-601 DATA MINING FOR BUSN INTEL
  A high growth area, data mining is used by organizations to better underrstand teir situations as well as the world in which they function in order to devise effective strategies and policy options. Covers the concepts, software tools and related skills to help students become professional data analysts. A term project and presentation adopts a real-world problem-solving context. Prerequisites: Majors: INFO 211 and 281, admission to the Professional Program; Non-majors: Junior standing. Three hours per week.

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Article(s)

DiBartolo, M.C., Salimian, F., Kotteman, J.E. & DiBartolo, G.R. 
(2012). 
Engaging Baccalaureate Nursing Students in Statistics. 
Nurse Educator, 
37(4), 
145-146. 
*

Boyer-Wright, K., Summers, G.F., & Kottemann, J.E. 
(2010). 
XBRL: Is It Time? 
Issues in Informing Science & Technology, 
7, 
509-518. 
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Kottemann, J. E. & Boyer-Wright, K. M. 
(2009). 
Human resource development, domains of information technology use, & levels of economic prosperity. 
Information Technology for Development, 
15(1), 
32-42. 
*

Wright, K. & Kottemann, J. 
(2008). 
High-level factors affecting availability of online government services worldwide. 
Electronic Government, An International Journal, 
5(4), 
375-389. 
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Please send any updates to smfridie@salisbury.edu.

• Four Earn 2011 SU Alumni Association Faculty Appreciation Awards
  Tuesday, December 20, 2011

Visit the Press & Publications site for more information.