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Detailed Course Information

 

Fall 2019
Dec 01,2021
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Information Select the desired Level or Schedule Type to find available classes for the course.

ACCT 590 - TOPICS:
The topics studied in this course change from semester-to-semester, as well as from instructor-to-instructor. Students should expect to engage in sophisticated discussion, to work independently, and to participate in--and lead--seminar discussions. The course will require students to call on the experience of their previous coursework in the program to produce polished writing informed by research. For this semester's course sections, please contact the MSAC Director. DATA ANALYTICS: The course provides students with the fundamental concepts and tools needed to understand the emerging role of data analytics in organizations. Through lectures, hands on analyses, and various assignments, students learn how to apply basic business analytics tools in a spreadsheet environment. Students will become with familiar with advanced Microsoft Excel functions and the use of Excel in solving analytical problems. Students also learn how to communicate with analytics professionals to effectively use and interpret analytic models and results for making better business decisions. The course covers managerial statistical tools in descriptive analytics and predictive analytics, including regression. Other topics covered include forecasting, risk analysis, simulation, data mining, and decision analysis. Emphasis is on applications, concepts and interpretation of results as well as conducting statistical analyses. Students form groups to collect and analyze data, and to write and present a final report.
0.000 TO 3.000 Credit hours
0.000 TO 3.000 Lecture hours

Levels: Graduate
Schedule Types: Hybrid, Lecture, Lecture/Online, Online Course, Seminar

Accounting Department

Course Attributes:
MSAC COURSE FOR GRAD FEE ASMNT

Restrictions:
Must be enrolled in one of the following Programs:     
      Non-Degree-MSAC
      MS-Accounting
Must be enrolled in one of the following Levels:     
      Graduate

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