Web Intelligence


Content, progress and pedagogy of the module

Learning objectives


The student must acquire knowledge and skills in web intelligence techniques, for example:

  • applications of web intelligence techniques
  • web agents and web services
  • web information retrieval
  • web navigation support
  • recommender systems
  • intelligence for social web
  • knowledge representation
  • user modeling, adaptation and personalization


  • demonstrate knowledge of web intelligence methods and techniques
  • be able to select relevant concepts and techniques for a given problem within web systems
  • be able to use correct notation and terminology within web intelligence


  • be able to apply web intelligence methods and techniques including in the design and implementation of web 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 30 hours per ECTS, which for this activity means 150 hours.



Name of examWeb Intelligence
Type of exam
Written or oral exam
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 titleWeb Intelligence
Module codeDSNSWCK112
Module typeCourse
Duration1 semester
Language of instructionEnglish
Empty-place SchemeYes
Location of the lectureCampus Copenhagen
Responsible for the module


Education ownerMaster of Science (MSc) in Engineering (Software)
Study BoardStudy Board of Computer Science
DepartmentDepartment of Computer Science
FacultyThe Technical Faculty of IT and Design