Program Overview

Advanced Topics in Databases

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.

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 exam: Advanced Topics in Databases
• Type of exam: Written or oral exam
• ECTS: 5
• Assessment: 7-point grading scale
• Type of grading: Internal examination
• Criteria of assessment: The criteria of assessment are stated in the Examination Policies and Procedures.

Additional Information

• Contact: The Study board for Computer Science.

Facts About the Module

• Danish title: Avancerede emner inden for databaser
• Module code: DSNDATFK102
• Module type: Course
• Duration: 1 semester
• Semester: Autumn
• ECTS: 5
• Language of instruction: Danish and English
• Empty-place Scheme: Yes
• Location of the lecture: Campus Aalborg
• Responsible for the module: Lone Leth Thomsen

Organisation

• Study Board: Study Board of Computer Science
• Department: Department of Computer Science
• Faculty: Technical Faculty of IT and Design