Cloud Computing and Data Mining


Teachers: Ampeliotis Dimitris
Code: NMC203
Type: Compulsory Elective
Level: Postgraduate
Language: Greek
Semester: 2nd
ECTS: 6
Teaching Hours: 3
E Class Webpage: https://opencourses.ionio.gr/courses/MDM117/
Objectives - Learning Results:

Upon successful completion of the course, the student will be able to:

  • To distinguish the basic models of cloud computing services
  • To know the basic principles and advantages of virtualization of available devices
  • Know the basic approaches to storage
  • To develop applications in the computing cloud
  • To know the problems of data mining
  • To solve classification, clustering and feature selection problems
  • To apply methods of finding association rules
  • To combine the above methodologies to extract knowledge from a data set
Grading and Evaluation Methods:

Students are evaluated as follows:

  1. Progress (Multiple Choice Questions), 30%
  2. Lab Work and Presentation (Analysis of a data set with appropriate tools), 70%

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