#acl pmajlend@dsv.su.se:read,write,delete,revert,admin All:read = BI - Business Intelligence = == Aim == The course is intended for students who are interested in the theory and application of business intelligence methods and decision support systems. The course will include the basic theoretical backgrounds and several interesting real-world applications of data mining and decision support tools that can be used in business. The course will also discuss several artificial intelligence methods that play important roles in business applications. They include: * neural networks, * machine learning, * rule-based systems, * fuzzy logic, and * approximate reasoning. During the course the students are expected to learn the fundamentals of basic business intelligence methods and decision support techniques, and apply that knowledge in practice by solving some simple problems. The course does not build on any previous knowledge, however, the students are assumed to have an interest in practical problem solving. == Syllabus == Focusing on the area of business intelligence and decision support, the course will discuss the following topics: * modeling, * optimization, * simulation, * data mining, and * decision support systems. == Outline == The course will be given in English. The course consists of lectures and practices. Participation is recorded on both lectures and practices, and active participation is highly rewarded. There will be regular (weekly) assignments that the students have to return on time. The course ends with a written exam. <> ---- CategoryCategory