# 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
Cross-listed with:
MGMT-4190 Intro To Machine Learning Apps
Prereqs:
none

# 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) |

2026

Introduction To Machine Learning Applications (3c)

- Lydia Manikonda

Seats Taken: 4/45

2025

Introduction To Machine Learning Applications (3c)

- Lydia Manikonda

Seats Taken: 13/45

Introduction To Machine Learning Applications (3c)

- Lydia Manikonda

Seats Taken: 27/100

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

Managing New Product Develop (3c)

Seats Taken: 0/2

2002

Managing New Product Develop (3c)

Seats Taken: 19/22

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