INFO 5590 – Information Management Systems

In Information Management Systems we will investigate a wide range of current issues in information technology, information systems and web-based applications with a particular emphasis on how organizations can make effective use of technology. We will also explore the principles of user interface design, systems analysis, information needs analysis, information systems requirements, and project planning. Finally, we will examine how modern information and communication technologies (ICTs) have been and are changing the way we communicate, collaborate, share information, innovate, perform, socialize and work, and how these technological changes are affecting the role and functions of information managers in the public and private sectors.

INFO 6270 – Introduction to Data Science

This course serves as an introduction to data science, an increasingly important set of skills and techniques for business intelligence, effective governance, and the research process. The amount of data we generate increases year on year. As computers have begun to play roles in many aspects of our daily life, our actions and interactions leave digital traces. This has led both to an explosion in the amount of data that we generate and an increased interest in analyzing and understanding that data. This class will give you an introduction to the skills you need to effectively collect, manipulate, and analyze data yourself. Rather than being constrained to using any specific data analysis software, we will focus on using the flexible programming language Python. You will receive a thorough introduction to Python, learning how to use a variety of its built-in capabilities as well as a number of available data analysis packages. By the course’s end you should be capable enough that you will be able to begin teaching yourself and expanding your data science skills.

MGMT 2605 – Data Literacy

People and organizations are grappling with increasing amounts of data. Modern citizens and employees will be expected to collect, manage, evaluate, visualize, analyze, and apply data in a range of domains and challenges: in short, to be data literate. This course introduces this knowledge and skillset through lectures and hands-on labs. Students will learn to use a variety of tools to find, manage, assess, extract value from, and visualize raw data.