Course description
The course introduces students to basic data mining principles of organizing and extracting data from large databases. It further encourages students to apply these principles in practice by using them for designing and implementing a basic data mining system in a manner that simulates related programming and data management activities in industry.
Description of the participants
The course is an elective in the 4th year of undergraduate studies at the Department of Electrical and Computer Engineering of the University of Thessaly. 60 students are enrolled in the course.
Timeframe
Spring 2020.
Description of active learning activities
The exercises used in course are meant to be executed in the context of broader introductory data mining activities that expose students to data mining principles such as data preprocessing, data mining primitives, languages, and system architectures. More specifically, the activities should be part of broader curricula that is related to mining association rules in large databases, classification and prediction, clustering, mining data of complex types, mining big datasets using parallel and distributed frameworks, implementing and managing data warehouses, and more.
