Web Intelligence


Prerequisite/Recommended prerequisite for participation in the module

Knowledge of discrete mathematics, algorithms and data structures

Content, progress and pedagogy of the module

Learning objectives


knowledge and skills within web intelligence techniques, such as:

  • Application of web intelligence techniques
  • Web agents and web services
  • Web information retrieval
  • Web navigation support
  • Recommender systems
  • Intelligence for social web
  • Presentation of knowledge and semantic web
  • User modelling, adaptation and personification
  • Computational natural language processing for web


  • Demonstrate knowledge about web intelligence methods and techniques
  • Chose relevant concepts and techniques within a given web system problem
  • Use correct notation and terminology for web intelligence.


  • be able to apply web intelligence methods and techniques, including design and implementation of web systems.


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



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

Facts about the module

Danish titleWeb Intelligence
Module codeDSNSWFK104
Module typeCourse
Duration1 semester
Language of instructionDanish and English
Empty-place SchemeYes
Location of the lectureCampus Aalborg
Responsible for the module


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