Principles of Databases and Data Analytics

Aims of the course

no description

Course syllabus

1. Databases and their characteristics
2. Data models
3. Design, development and maintenance of databases
4. Design and development methodologies
5. CASE tools and Database Management Systems
6. SQL and PL/SQL languages
7. The use of databases for data analytics
8. Business intelligence architecture
9. On-line analytical processing (OLAP)
10. Associative analytics

Course director(s)

  • Office Hours
  • Wednesday at 12:00 in RZ-404
 
To top of page