Decision Support System E-FMECS>04-DSS
Detailed teaching content:
Identification of the decision problem.
Selection of data analysis methods.
Identification of sources of knowledge.
Development of a decision tree.
Formulation of rules.
Checking the completeness of the rules.
Building an SE.
Validation of the SE.
Course coordinators
Learning outcomes
Student has knowledge related to the areas of production management and engineering, including production process design, production planning, organization of production processes
Student has knowledge related to the functioning of integrated management systems and information systems supporting production.
Students are able to obtain information from literature, databases and other sources in the field of study; is able to integrate the obtained information, interpret and critically evaluate it.
Student is able to formulate decision rules and use appropriate computer tools to develop computer programs to support engineering work.
Student understands the need for and knows the possibilities of continuing education and improving professional, personal and social competence; in case of difficulties in solving a problem independently, he consults experts.
Assessment criteria
Attendance in class, completion of reports on exercises performed in class.
Bibliography
Witten I., Frank E., Hall M.: Data Mining Practical Machine Learning Tools and Techniques. Morgan Kaufmann. 2016
Prasad, K., Chakraborty, S. Journal of Industrial Engineering International, 2015
Poole D., Mackworth A.: Artificila intelligence. Cambridge University Press, 2010