Data Resource Management

MGMT-4170

This is a hands-on course where students will learn a mix of theoretical and practical tools. Using these tools, they will solve a variety of supply chain problems, both analytically and numerically. Students will examine data and use this to understand supply, demand, and inventory levels using R to model many of these problems. The course will also review the data and assess its suitability for modelling. Time series, Markov chain, optimal control, linear programming, statistical analysis, and other mathematical tools will be used to reveal the data's secrets. The bottom line is these insights will be used to make recommendations to firms and other decision makers. Students will also look at qualitative problems through the examination and discussions of cases in class. Not everything can be distilled to a number and so a holistic view of business problems will be taken to make more strategic recommendations. Teams of students will then solve and present these case results

4 credits

Past Term Data

Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Spring Summer Fall
(Session 1) (Session 2)
2023
Data Resource Management (4c)
  • Jonathan Alexis McKinney
Seats Taken: 15/50
Data Resource Management (4c)
  • Jonathan Alexis McKinney
Seats Taken: 13/30
2022
Data Resource Management (4c)
  • Jonathan Alexis McKinney
Seats Taken: 23/30
Data Resource Management (4c)
  • Jonathan Alexis McKinney
Seats Taken: 27/26
2021
Data Resource Management (4c)
  • Pindaro Epaminonda Demertzoglou
  • Clinton T. Ballinger
Seats Taken: 16/30
Data Resource Management (4c)
  • Jonathan Alexis McKinney
Seats Taken: 22/26
2020
Data Resource Management (4c)
  • Pindaro Epaminonda Demertzoglou
Seats Taken: 14/30
Data Resource Management (4c)
  • Pindaro Epaminonda Demertzoglou
Seats Taken: 28/40
2019
Data Resource Management (4c)
  • Pindaro Epaminonda Demertzoglou
Seats Taken: 11/30
Data Resource Management (4c)
  • Pindaro Epaminonda Demertzoglou
Seats Taken: 30/30
2018
Data Resource Management (4c)
  • Pindaro Epaminonda Demertzoglou
Seats Taken: 24/30
Data Resource Management (4c)
  • Pindaro Epaminonda Demertzoglou
Seats Taken: 14/30
2017
Data Resource Management (4c)
  • Pindaro Epaminonda Demertzoglou
Seats Taken: 27/30
Data Resource Management (4c)
  • Pindaro Epaminonda Demertzoglou
Seats Taken: 21/30
2016
Data Resource Management (4c)
  • Pindaro Epaminonda Demertzoglou
Seats Taken: 32/32
Data Resource Management (4c)
  • Pindaro Epaminonda Demertzoglou
Seats Taken: 19/30
2015
Data Resource Management (4c)
  • Pindaro Epaminonda Demertzoglou
Seats Taken: 28/35
Data Resource Management (4c)
  • Pindaro Epaminonda Demertzoglou
Seats Taken: 10/30
2014
Data Resource Management (4c)
  • Pindaro Epaminonda Demertzoglou
Seats Taken: 30/35
2013
Data Resource Management (4c)
  • Pindaro Epaminonda Demertzoglou
Seats Taken: 28/25
2012
Data Resource Management (4c)
  • Pindaro Epaminonda Demertzoglou
Seats Taken: 26/19
Data Resource Management (4c)
  • Pindaro Epaminonda Demertzoglou
Seats Taken: 4/20
2011
Data Resource Management (4c)
  • Jason Nicholas Kuruzovich
Seats Taken: 28/25
2010
Data Resource Management (4c)
  • Jason Nicholas Kuruzovich
Seats Taken: 19/25
2009
Data Resource Management (4c)
  • Jason Nicholas Kuruzovich
Seats Taken: 20/25
2008
Data Resource Management (4c)
  • Jason Nicholas Kuruzovich
Seats Taken: 22/25
2007
2006
2005
2004
2003
2002
2001
2000
1999
1998