Web Intelligence

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 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

Skills

  • 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

Competences

  • 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 27.5 hours per ECTS, which for this activity means 137.5 hours.

Exam

Exams

Name of examWeb Intelligence
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 titleWeb Intelligence
Module codeDSNSWFK111
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