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Business Intelligence Systems

Teacher Maliappis Michael Lagogiannis George
Duration Time 13 weeks
Location Laboratory's Rooms
Certificate no
Lessons 0
Course features
Elective Course
Credits : 5
RE&D Department
Lecture Hours : 3
Lab Hours : 2
Autumn Semester
Teacher
Maliappis Michael
Laboratory & Teaching Staff
His interests cover the subjects of knowledge representation and management, knowledge base systems, system analysis and design of information systems, design and implementation of expert systems, ontology design and usage and development of web based systems using Java related technologies.
Lagogiannis George
Assistant Professor
His research interests include dynamic graph problems, query optimization, data structures with sublinear space, as well as other theoretical problems in the field of Data Structures and Algorithms.
Course Content

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

  • Understand the meaning and characteristics of an intelligent system,
  • Understand the concept of an intelligent training system,
  • Understand and recognize the differences between OLTP Databases and Data Warehouses and create Data Warehouses according to the steps of the ETL (Extract, Transform and Load) process.
  • Diagnose problems that have occurred as a result of the data integration and transformation.
  • Create well structured dimension tables and fact tables and use them to create star and snowflake schemata.
  • Distinguish and choose the most appropriate method for knowledge extraction through a large number of data,
  • Acquire the necessary skills to exploit ready-made tools for data mining , in order to develop an intelligent system,
  • Combine results of classification, clustering and association rules and will be able to end up with the production of new knowledge.

Course Layout  (EN)

Course Layout (EL)