Associate professor, FON
Ivana Dragovic is an Assistant Professor at the University of Belgrade, Faculty of Organizational Sciences. Her area of research interest includes system modeling, neural networks and fuzzy logic as well as application of computational intelligence in financial and various organizational systems. She is the author of many scientific papers in international journals and conference proceedings and two handbooks. Ivana Dragovic participated in the realization of two international scientific research projects and was a project leader of student teams in several different projects with companies. She is the head of Department of Systems Theory and Control.
The dynamics of the business system can be described by mathematical models. Each system has its own characteristics, behavior and a set of data which describes it. Computational intelligence (e.g. fuzzy logic, neural networks) can be applied even in the absence of a strict mathematical model or in case of incomplete and inconsistent data. For this reason, computational intelligence and data driven models are widely used in modern business. The performance of a model depends on the quality and quantity of the data used to build it, business understanding as well as understanding of the benefits and limitations of the model itself. The workshop refers to the process of building classification and clustering models for solving practical problems in a business environment. As an outcome, students will be able to develop models for simulation, prediction and control of business outcomes in Matlab programming language.
The dynamics of the business system can be described by mathematical models. Each system has its own characteristics, behavior and a set of data which describes it. Computational intelligence (e.g. fuzzy logic, neural networks) can be applied even in the absence of a strict mathematical model or in case of incomplete and inconsistent data. For this reason, computational intelligence and data driven models are widely used in modern business. The performance of a model depends on the quality and quantity of the data used to build it, business understanding as well as understanding of the benefits and limitations of the model itself. The workshop refers to the process of building classification and clustering models for solving practical problems in a business environment. As an outcome, students will be able to develop models for simulation, prediction and control of business outcomes in Matlab programming language.