Web Intelligence

2019/2020

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

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

Skills

  • 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.

Competences

  • 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

Exam

Exams

Name of examWeb Intelligence
Type of exam
Written or oral exam
ECTS5
Assessment7-point grading scale
Type of gradingInternal examination
Criteria of assessmentAre stated in the Joint Programme Regulations

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
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