This course provides students with essential knowledge of key big data and AI technologies through hands-on, experiential learning using cloud computing platforms.
Terms Offered
Fall 2025
Course Details
Big data represents unprecedented opportunities for companies to generate insights and create wealth. Artificial intelligence (AI) has penetrated our daily routines, showing promise in many business areas such as finance, transportation, and healthcare. With cloud computing advances, big data and AI tools are more accessible and cost-effective to average businesses; however, key challenges exist in initiating, implementing, and managing AI projects that analyze large, unstructured data. This course provides students with essential knowledge of key big data and AI technologies through hands-on, experiential learning using cloud computing platforms. Students will be able to help guide the successful design and implementation of complex data strategies.
This is a Collaborative Online International Learning (COIL) course, developed in partnership with Smith's Center for Global Business to provide virtual opportunities for global experiences. COILs can range from embedded global experiential learning to immersive, project-based collaboration.
Number of credits: 3
Cultural Connection
World-wide
General Education Credits
None.
School/College
Robert H. Smith School of Business
Prerequisites & Restrictions
Restricted to Information Systems majors with 60 credit hours completed and other BMGT majors and Business Analytics minors with 72 credit hours completed.
Faculty Highlight

Woei-jyh (Adam) Lee
Dr. Adam Lee received his BSE degree from the National Taiwan University, his MS degree from the Courant Institute at the New York University, and his PhD degree from the University of Maryland at College Park (UMD). He worked on distributed objects and fault tolerance at the AT&T Labs - Research in 1997. He focused on network software and management at the Bell Laboratories Research from 1998 to 2000. He visited the University of Southern California specializing in continuous media streaming and multimedia networking from 2002 to 2003.
He contributed in protein domain parsing and boundary prediction at the National Cancer Institute (NCI), National Institutes of Health (NIH) from 2004 to 2005. He was a fellow focusing on human genetics and genomics at the National Center for Biotechnology Information, National Library of Medicine, NIH from 2009 to 2012. He became a special volunteer working on computational modeling for cancer progression and metastatic at the NCI, NIH from 2012 to 2013. He was also affiliated with the Center for Bioinformatics and Computational Biology and the Institute for Advanced Computer Studies at the UMD.
He is currently a faculty of Information Systems and Business Analytics at the Robert H. Smith School of Business at the UMD since 2012. His research interests include big data mining and analytics, literature-based discovery and language models, bioinformatics and computational biology, sports management and informatics, artificial and business intelligence. He has two US Patents.
Questions & Contact Info
For more course information contact Dr. Adam Lee at adamlee@umd.edu
For general questions, please contact the Global Classrooms team at globalclassrooms@umd.edu.