Introduction To Machine Learning Applications

MGMT-6560

“The widespread proliferation of IT-influenced economic activity leaves behind a rich trail of micro-level data, enabling organizations to use analytics and experimentation in both strategy and operations. This course provides a hands-on introduction to the concepts, methods, and processes for machine learning from data, the foundation of artificial intelligence. Students will learn how to manipulate data and apply machine learning models to business context.” They will also learn how to obtain data and draw business inferences from data by asking the right questions and using the appropriate tools.

3 credits
Prereqs:
none

Past Term Data

Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Spring Summer Fall
(Session 1) (Session 2)
2025
Introduction To Machine Learning Applications (3c)
  • Lydia Manikonda
Seats Taken: 13/45
2024
Introduction To Machine Learning Applications (3c)
  • Lydia Manikonda
Seats Taken: 28/45
Introduction To Machine Learning Applications (3c)
  • Lydia Manikonda
Seats Taken: 62/100
2023
Intro To Machine Learning Apps (3c)
  • Minor E. Gordon
Seats Taken: 23/35
Introduction To Machine Learning Applications (3c)
  • Lydia Manikonda
Seats Taken: 56/75
2022
Intro To Machine Learning Apps (3c)
  • Lydia Manikonda
Seats Taken: 34/55
Introduction To Machine Learning Applications (3c)
  • Lydia Manikonda
  • Jason Nicholas Kuruzovich
Seats Taken: 50/77
2021
Intro To Machine Learning Apps (3c)
  • Lydia Manikonda
Seats Taken: 33/40
Introduction To Machine Learning Applications (3c)
  • Lydia Manikonda
  • Jason Nicholas Kuruzovich
Seats Taken: 70/77
2020
Introduction To Machine Learning Applications (3c)
  • Lydia Manikonda
  • Jason Nicholas Kuruzovich
Seats Taken: 33/80
Introduction To Machine Learning Applications (3c)
  • Thomas Richard Morgan
  • Jason Nicholas Kuruzovich
Seats Taken: 65/80
2019
Technology Fundamentals For Business Analytics (3c)
  • Jason Nicholas Kuruzovich
Seats Taken: 24/40
Introduction To Machine Learning Applications (3c)
  • Lydia Manikonda
  • Jason Nicholas Kuruzovich
Seats Taken: 81/105
2018
Technology Fundamentals For Business Analytics (3c)
  • Jason Nicholas Kuruzovich
Seats Taken: 11/20
Technology Fundamentals For Business Analytics (3c)
  • Jason Nicholas Kuruzovich
Seats Taken: 48/55
2017
Technology Fundamentals For Business Analytics (3c)
  • Jason Nicholas Kuruzovich
Seats Taken: 51/55
2016
Technology Fundamentals For Business Analytics (3c)
  • Jason Nicholas Kuruzovich
Seats Taken: 48/50
2015
2014
2013
2012
2011
2010
2009
2008
2007
Managing New Product Dev. (3c)
  • Edward D. Arnheiter
Seats Taken: 1/1
Managing New Product Dev. (3c)
  • Susan Sanderson
Seats Taken: 27/100
2006
Managing New Product Dev. (3c)
  • David Rainey
  • Edward D. Arnheiter
Seats Taken: 53/100
2005
Managing New Product Dev. (3c)
  • David Rainey
Seats Taken: 47/8700
Managing New Product Dev. (3c)
  • Susan Sanderson
Seats Taken: 13/25
2004
Managing New Product Dev. (3c)
  • David Rainey
  • Susan Sanderson
Seats Taken: 87/8140
Managing New Product Dev. (3c)
  • Susan Sanderson
Seats Taken: 17/27
2003
2002
2001
Managing New Product Develop (3c)
Seats Taken: 53/6100
2000
Managing New Prod Dev (3c)
New Product Management
  • Susan Sanderson
Seats Taken: 19/2025
1999
Managing New Prod Dev (3c)
Managing New Product Dev
  • Susan Sanderson
Seats Taken: 19/240
1998
New Product Developmt (3c)
New Product Management
  • David Rainey
Seats Taken: 36/4840