Faculty Research Areas
Research in information systems at Iowa focuses on the development of computer systems and methodology for managing information and knowledge in organizations. Core areas include database systems, systems analysis and design, computer networks, intelligent systems, and information retrieval. Faculty research is particularly active in the areas of database modeling, machine learning and data mining, knowledge management, Internet technologies, and bioinformatics. We offer a BBA major in business analytics and information systems (BAIS) and a Ph.D. These programs have strong technical and quantitative curricula, with a mix of theoretical foundation and hands-on experience.
Operations management is the discipline of applying advanced analytical methods to help make better business decisions. This area has its roots in applied math, operations research, and statistics. Operations management tools have been applied to a wide range of business problems. Our faculty are currently doing research in the areas of supply chain management, vehicle routing, hospital patient scheduling, forestry, agribusiness, production planning, and inventory management. The primary set of tools used by operations management is mathematical modeling and optimization. The modeling step involves developing compact and precise ways to describe complex problems using mathematical expressions. Optimization involves exploiting special mathematical structure and transformations to find solutions to the mathematical models.
The area of quantitative methods at Iowa incorporates several disciplines, and the faculty in quantitative methods are internationally known for the quality of their research. Core areas include linear and nonlinear optimization, discrete optimization, heuristic search, stochastic modeling, statistical methods for process improvement and forecasting, as well as advanced computational techniques for solving mathematical models. Quantitative methods at Iowa provides a great opportunity for interdisciplinary research with areas such as MIS, operations management, and other business disciplines. Recent interdisciplinary projects have included hospital resource allocation, fleet management, optimization for machine learning, and the analysis of economic monopolies.