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Viewing: Graduate Faculty Application for Dr. Michael Floren

Last approved: Wed, 03 Aug 2022 22:18:59 GMT

Last edit: Wed, 03 Aug 2022 21:15:54 GMT

Graduate Faculty Application
Fall 2022
Undergraduate and Graduate
Graduate Faculty Application for Dr. Michael Floren
Dr. Michael Floren
Finance, Economics, and Data Analytics
College of Business and Technology
Permanent
SACSCOC Credentials Guidelines:
 
1. Faculty teaching undergraduate general education and/or baccalaureate courses: Doctorate or Master’s degree in the teaching discipline or Master’s degree with a concentration in the discipline (a minimum of 18 graduate semester hours in the teaching discipline).
 
2. Faculty teaching graduate and post-baccalaureate course work: Earned Doctorate/ terminal degree in the teaching discipline or a related discipline (a minimum of 18 hours above the Master’s degree in the teaching discipline).
DA 675. Business Analytics. (3 Credits)
This course expands on methods of Data Analytics used to address business challenges. Methods covered include confidence intervals, hypothesis tests, data visualization, regression, and data mining techniques. This course offers a hands-on approach to methods used in this new and exciting field. Prerequisite: MBA 601. (Fall)

EDBA 820. Organizational Problem Solving; Design and Measurement. (3 Credits)
A graduate-level Research Methods course designed for experienced business professionals to frame organizational problems in the context of a scientific research study. Students learn to design a research study with consideration of operationalizing theoretical constructs and instrumentation. Topics include reliability, validity, survey design and administration, random sampling, generalizability, measurement scales, and psychometrics.
SRM 502 Applied Statistics (3); SRM 608 Experimental Design (3); SRM 609 Sampling Methods (3); SRM 610 Statistical Methods III (3); SRM 625 Applied Multiple Regression (3); SRM 627 Survey Research Methods (3);
Qualifications:
Does this faculty member hold a terminal degree in this discipline or a related field?
Yes
Ph.D in Applied Statistics/Research Methods
Additional Qualifications Complete this section to provide additional qualifications to meet the SACSCOC credentials guidelines. Identify all additional qualifications that apply and explain each item in the justification textbox. Indicate the dates of these additional qualifications and clearly describe the relationship between these qualifications and the course content and/or the expected outcomes of the course(s) assigned to faculty member. Supporting documents such as vita, copies of licenses and certificates, etc., should be submitted with this form by clicking the "attach file" link below. External validation of additional qualifications should be supported by these supplemental documents.
 
 
 
 
 
 
 
 
 
Ryan Zayac (rzayac) (Wed, 03 Aug 2022 21:15:54 GMT): Approved unanimously.
Key: 188