Advanced Topics in Databases

2019/2020

Content, progress and pedagogy of the module

Learning objectives

Knowledge

The student will acquire knowledge on the following topics in advanced databases:

  • concepts and techniques in multidimensional databases, such as data warehousing, On-Line Analytical Processing, and Data Mining
  • concepts and techniques in spatial and spatiotemporal databases, including indexing and processing of queries
  • concepts and techniques of complex data in databases, such as XML, Semantic Web, etc

There will also be one or more optional subjects within data-intensive systems, including (but not limited to):

  • concepts and techniques in temporal databases

Skills

  • able to explain concepts and techniques in advanced databases
  • able to identify and discuss relevant concepts and techniques for a given problem in advanced databases
  • able to apply relevant concepts and techniques for a given problem in advanced databases

Competences

  • able to apply concepts and techniques from advanced databases, including the design and implementation of advanced databases

Type of instruction

The teaching is organized according to the general teaching methods for the education, cf. chapter 3

Extent and expected workload

It is expected that the student uses 30 hours per ECTS, which for this activity means 150 hours

Exam

Exams

Name of examAdvanced Topics in Databases
Type of exam
Written or oral exam
ECTS5
Assessment7-point grading scale
Type of gradingInternal examination
Criteria of assessmentAre stated in the Joint Programme Regulations

Additional information

Contact: The Study board for Computer Science at cs-sn@cs.aau.dk or 9940 8854

Facts about the module

Danish titleAvancerede emner inden for databaser
Module codeDSNDATFK102
Module typeCourse
Duration1 semester
SemesterAutumn
ECTS5
Language of instructionDanish and English
Empty-place SchemeYes
Location of the lectureCampus Aalborg
Responsible for the module

Organisation

Study BoardStudy Board of Computer Science
DepartmentDepartment of Computer Science
FacultyTechnical Faculty of IT and Design