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Syllabus:

Advanced Data Models and Systems, 7.5 credits

The course is discontinued

Swedish name: Avancerade datamodeller och databassystem
This syllabus is valid: 2009-05-11 valid to 2010-12-12 (newer version of the syllabus exists)
Syllabus for courses starting between 2009-05-11 and 2010-12-12
Course code: 5DV052
Credit points: 7.5
Education level: Second cycle
Main Field of Study and progress level: Computing Science: Second cycle, has second-cycle course/s as entry requirements
Grading scale: Pass with distinction, Pass with merit, Pass, Pass with distinction, Pass, Fail
Responsible department: Department of Computing Science

Contents

This course is intended to give students insight into some advanced models, systems and applications. The core areas that are covered are object-oriented, object-relational and deductive database systems. Additional topics may include one or more of the following: description logics; temporal databases; GIS; active databases; cooperative information systems; multimedia databases; data mining; distributed databases; advanced techniques in physical database design; and semi-structured data models (e.g. XML).

Required Knowledge

Univ: To be addmitted you must have 60-ECTS credits in Computing Science or 2 years of completed studies, in both cases including Principles of Database Systems, (5DV021) or equivalent. English proficiency equivalent to IELTS Academic Training –minimum score 5.0 with no individual score below 4.5 (Tests taken before January 2005 not admissible or TOEFL – minimum score 500 on paper based test and not below 4.0 on the TWE, Alternatively 173 on computer based test with iBT61 is also required as well as basic entrance requirements for higher studies in Swedish language proficiency if the course is taught in Swedish.

Literature

Minock Michael
Relational Representation : Unpublished material

Fundamentals of database systems
Elmasri Ramez, Navathe Shamkant B.
5. ed. : Boston, Mass : Pearson/Addison-Wesley : cop. 2007 : xxviii, 1123 s. :
ISBN: 0-321-36957-2
Search the University Library catalogue