MBAD6215-L1 Analytical Meth For Dec-Making (Summer 2024)

Course Details

Section will be taught totally online with no scheduled class meetings. Students must arrange for daily access to a computer and the Internet prior to the start of classes. Robert Morris labs are to be used only as a backup in special situations and may not be relied upon for extended periods of time. In addition to the Internet link, online classes have a large emphasis on email. All messages from the instructor and other information regarding online classes, including user ids, passwords, and login instructions will be sent to your Robert Morris University email account. Visit http://rmu.blackboard.com/ for more information.
Session, Dates: 2 (05/07/2024 - 06/28/2024)
Days: ONLINE
Time: -
Location: Internet/Online
Room:
Seats Available: 5 Seats
Credits: 3

Course Description

Aims to equip participants with a scientific / analytical mindset to support making informed decisions based on data, models and "what if" sensitivity analyses. Overview of statistics, decision analysis and simulation modeling to teach how to apply basic techniques of data analysis to practical managerial decision making. Develop an ability to generate fact-based decisions supported by timely data analyses in this "Big Data" era, with a focus on understanding the results of "Big Data", understanding how complexity can be deciphered to enhance decision-making.

Prerequisites: Pre-MBA competency as approved by the MBA director. 3 Credits

Course Materials

About the Instructor(s)

Kihyun Park, Ph.D.
Professor of Operations Management
Management

parkk@rmu.edu
412-397-6045 phone
412-397-2217 fax
Massey Hall 322
Profile

Yanbin Tu, Ph.D.
University Professor of Marketing
Marketing

tu@rmu.edu
412-397-6373 phone
412-397-2172 fax
Massey Hall 227
Profile