Directories
Holloway Hall

Directories

Operator: 410-543-6000

Kottemann, Jeffrey

Faculty, Information and Decision Sciences
Perdue Hall (PH) 312
410-543-6212 or ext 36212
jekottemannsalisburyedu
Website


Education:
1984, Ph.D., University of Arizona

Interests:
Lots of things.

Website:
http://faculty.salisbury.edu/~jekottemann/JEK%20Vita.pdf


Courses  []

2014 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, C or better in MATH 155, C or better in MATH 160 or 201. 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, C or better in MATH 155, C or better in MATH 160 or 201. 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. Major Prerequisites: Admission to Professional Program, C or better in INFO 211, 281. Non-Major Prerequisites: Junior standing, C or better in INFO 211, 281. Three hours per week.

2015 Spring

  • INFO 281-610 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, C or better in MATH 155, C or better in MATH 160 or 201. Three hours per week.
  • INFO 281-611 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, C or better in MATH 155, C or better in MATH 160 or 201. Three hours per week.
  • INFO 340-610 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. Major Prerequisites: Admission to Professional Program, C or better in INFO 211, 281. Non-Major Prerequisites: Junior standing, C or better in INFO 211, 281. Three hours per week.

Visit the GullNet Logon Page to logon and view the entire schedule of classes.


Awards, Scholarship & Creative Works:  []

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. 
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 lahanscom@salisbury.edu.


Press Releases: []

Visit the Press & Publications site for more information.




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