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

Cross-listed with:

MGMT-6570 Adv Data Resource Management

Prereqs:

MGMT-4100 Quantitative Methods For Bus

and

MGMT-4110 Operations Management

Past Term Data

Offered

Not Offered

Offered as Cross-Listing Only

No Term Data

Simple View Detailed View

	Spring	Summer		Fall
		(Session 1)	(Session 2)
2025	Data Resource Management (4c) Jonathan Alexis McKinney Seats Taken: 14/40
2024	Data Resource Management (4c) Jonathan Alexis McKinney Seats Taken: 13/40			Data Resource Management (4c) Jonathan Alexis McKinney Seats Taken: 24/70
2023	Data Resource Management (4c) Jonathan Alexis McKinney Seats Taken: 15/50			Data Resource Management (4c) Jonathan Alexis McKinney Seats Taken: 27/30
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
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