Know and explain various approaches to data modelling,

Know and explain the difference between risk and uncertainty.

Know and explain the basic difference between quantitative and qualitative data analysis,

Know, explain, and give examples for the basic constructs of rough set data analysis (RSDA) such as equivalence relations, information systems, rules, reducts, etc.,

Find and interpret the approximation quality of a set of attributes with respect to a decision attribute,

Be able to give a seminar on a research topic in the course area.

Additional material to be announced.