Waleed  Muhanna

Waleed Muhanna

Professor

Accounting & Management Information Systems

Background

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, e-commerce 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 JournalDecision Sciencesthe Journal of Information Systemsthe 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 e-commerce, data management and mining, and information systems strategy. Professor Muhanna served as Vice-Chair 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.

Education

  • PhD, University of Wisconsin, Madison
  • MS, University of Wisconsin, Madison
  • BS, The University of Tulsa

Courses

  • 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 hands-on experience in applying these techniques to practical real-world 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; and Math 1152 or equiv; and CSE 2111 or equiv.