Teaching

BSIS 610 Business Analytics, Graduate level, Face-to-face and Online

BSIS 308 Decision Analysis for Business, Undergraduate level, Face-to-face

MINS 546 E-Commerce and Cloud Computing, Undergraduate level, Hybrid

MINS 301 Corporate Technology Integration, Undergraduate level, Online

MIS 395 Management Information Systems, Undergraduate level, Online

MIS 750 Business Intelligence and Analytics, Graduate level, Hybrid

BSAN 775 Perspectives on Business Analytics, Graduate level, Hybrid

BCIS 2610 Introduction to Computers in Business, Undergraduate level, Hybrid

• • Study of the introductory concepts of computing in business, basic computer components, computer history, and programming. This course also prepares students for the Microsoft Excel certification. 

DSCI 2710 (Business Statistics I - Data Description and Analysis with Spreadsheets), Undergraduate level, Face-to-face

• • Topics include: data presentation, tables, charts and graphs, descriptive statistics, analysis of time series and index numbers, sampling techniques and distributions, estimation, confidence intervals, with applications in quality control and productivity.

DSCI 3710 (Business Statistics II - Business Statistical Analysis Using Spreadsheets), Undergraduate level, Face-to-face

• • Topics include: statistical inference for means and proportions, analysis of variance, correlation coefficient, hypothesis testing, analysis of categorical data, simple and multiple linear regressions, with extensive use of cases and demonstration of software (Excel).

DSCI 4700 (Analytics for Decision Making), Undergraduate level, Face-to-face

• • Teaching Assistant (Spring 2020)

  • Study of the analytics that underlie the process of decision making and the information requirements of decisions. Topics include decision support systems tool selection, process improvement and applications development.

DSCI 5260 (Business Process Analytics), Graduate level, Face-to-face & Online

• • Teaching Assistant (Spring 2020)

  • The utilization of problem solving techniques applied to the functional areas of business under risk and uncertainty. Business process analysis concepts, methodologies and tools are utilized in solving real problems in the business, government and academic settings. The foundations for this are business process analysis employing business process software, six sigma analysis and state of the art statistical software. Students will develop and present solutions to the problems chosen for analysis. Emphasis is placed on problem structuring, creating solutions and presentation of solutions.