3 credits
Fall 2026 Lecture Upper Division
This course analyzes the changes in business models that have been enabled by Internet technologies, and exposes students to hands-on data analyses to quantify the impact these technologies and business models have on firms, economies, and people. A programming course such as MGMT 28800 Programming for Business Applications or MGMT 38800 Python for Business or CS 17600 Data Engineering in Python or CS 17700 Programming with Multimedia Objects or CNIT 17500 Visual Programming or CS 18000 Problem Solving & Object Oriented Programming and a statistics course such as STAT 30301 Probability & Statistics for Business or MGMT 30500 Business Statistics is highly recommended.
Learning Outcomes1Recognize the role of business models and data-driven decisions in digital markets.
2Measure, evaluate, and improve online technology usage, advertisement campaigns, and product pricing to meet specific business objective like better serving customers, customer acquisition, quantifying network effects, etc.
3Analyze the sheer amount of data ("traces") collected by businesses from different touch points - Google Glass, Apple Watch, smart phones, or simple computing devices - and make critical business decisions.
Prerequisites
Restrictions
made by Purdue students.