Data-intensive Systems

2021/2022

Content, progress and pedagogy of the module

Disclaimer.
This is an English translation of the module. In case of discrepancy between the translation and the Danish version, the Danish version of the module is valid.

Learning objectives

Knowledge

The student must gain knowledge of the following topics within data-intensive systems:

  • concepts and techniques for analyzing large amounts of data, such as data warehousing, On-Line Analytical Processing, and data mining
  • concepts and techniques for handling spatio-temporal data, including indexing and processing queries
  • concepts and techniques for scalability for data-intensive systems, e.g. cloud computing or distributed and parallel data systems

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

  • concepts and techniques for handling unstructured or semi-structured data, such as XML
  • alternatives to traditional relational database systems such as NoSQL or NewSQL systems

Skills

  • be able to explain concepts and techniques within data-intensive systems
  • be able to select relevant concepts and techniques for a given problem within data-intensive systems
  • be able to apply relevant concepts and techniques for a given problem in data-intensive systems

Competences

  • be able to apply concepts and techniques from data-intensive systems, including in the design and implementation of data-intensive systems

Type of instruction

The teaching is organized in accordance with the general teaching methods for the education, cf. section 17

Extent and expected workload

The student is expected to spend 27.5 hours per ECTS, which for this activity means 137.5 hours.

Exam

Exams

Name of examData-intensive Systems
Type of exam
Written or oral exam
ECTS5
Assessment7-point grading scale
Type of gradingInternal examination
Criteria of assessmentThe criteria of assessment are stated in the Examination Policies and Procedures

Additional information

Contact: Study Board for Computer Science via cs-sn@cs.aau.dk or 9940 8854

Facts about the module

Danish titleDataintensive systemer
Module codeDSNSWFK113
Module typeCourse
Duration1 semester
SemesterAutumn
ECTS5
Language of instructionEnglish
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