Professor Muhanna’s current research focuses on information technology strategy, business analytics, assessing the business value of information technology, and understanding the impact of information technology, including the Internet, on organizations and markets. His other research interests include trust and reputation online, ecommerce strategy, model and database management systems, and system performance modeling and evaluation. Professor Muhanna has published numerous articles in scholarly journals, including Management Science, MIS Quarterly, Strategic Management Journal, Decision Sciences, the Journal of Information Systems, the International Journal of Accounting Information Systems, ACM Transactions on Computer Systems, IEEE Transactions on Software Engineering, Communications of the ACM, Decision Support Systems, Information & Management, European Journal of Operational Research, Computers in Human Behavior, _and the _Annals of Operations Research.
Professor Muhanna’s teaching and consulting activities span a number of areas, with particular emphasis on ecommerce, data management and mining, and information systems strategy. Professor Muhanna served as ViceChair of INFORMS'' Information Systems Society, and currently serves as an Associate Editor at Management Science and on the editorial boards of other leading academic journals, including Information Technology and Management, _and _the International Journal of Accounting Information Systems.
PhD, University of Wisconsin, Madison MS, University of Wisconsin, Madison BS, The University of Tulsa
ACCTMIS 4660 Electronic Commerce
Examination of technical, managerial, and strategic issues that surround the emergence of electronic commerce on the internet. Prereq: 3610 (532) or CSE 3241 (670), and BusMgt 2320 (330), 2321 (331), and BusMHR 2292 (BusAdm 499.01). Not open to students with credit for 658.
ACCTMIS 7640 Data Mining for Business Intelligence
A theoretical and practical understanding of core data mining concepts and techniques and handson experience in applying these techniques to practical realworld business problems. Prereq: MBA 6211 (800), or enrollment in MAcc program.
BUSMGT 3332 Business Analytics: Application of Predictive Analytics to Business Data
Build and test predictive models that move from data to parameter estimation. Prereq: Econ 2001.01 and 2002.01 or equiv, Stat 3202, and CSE 2111 or equiv.
BUSMGT 7250 Data Management for Analytics Professionals
Business Analytics is the process of transforming raw data into insights and predictions. This course is on the fundamentals of data managementthe art and science of collecting, organizing, cleaning, and manipulating raw data in a variety of formats and from multiple sources, and being able to do it efficiently and at scale using R. Prereq: Enrollment in the SMBA program, or permission of instructor.
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