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Undergraduate course

Advanced Modelling

  • ECTS credits10
  • Teaching semesterSpring
  • Course codeINFO216
  • Number of semesters1
  • LanguageEnglish
  • Resources

Level of Study

Bachelor

Semester of Instruction

Spring

Objectives and Content

Students will learn advanced semantic modelling and programming techniques and other best practices for managing information with semantic technologies. Students will acquire skills to build platforms and applications that use semantic technologies for information management and use for big open data. They will gain practical experience in developing semantic model-based applications using technologies such as RDF and OWL.

Learning Outcomes

A student who has completed the course should have the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge:

The candidate has theoretical knowledge of basic concepts related to:

  • semantic modelling for interoperable information systems, for example using RDFS and OWL.
  • other standards for semantic information systems.
  • information quality.

Skills: The candidate

  • can develop advanced information models, for example ontologies.
  • can implement semantic applications.
  • can use existing application frameworks for semantic applications.

Required Previous Knowledge

None

Recommended Previous Knowledge

INFO116 Semantic technologies

INFO125 Data Management

INFO132 Programming

Access to the Course

Open

Teaching and learning methods

14-16 two-hour lectures, 14-16 two-hour seminars

Compulsory Assignments and Attendance

Mandatory participation: Attendance at mandatory labs (at least 80%).

Forms of Assessment

3 hours written exam (60%)

1 assignment, group (40%)

Grading Scale

Letter grade (A-F).

Assessment Semester

Spring

Course Evaluation

The course is evaluated by students every three years, and by the responsible lecturer each year.

Department

Department of Information Science and Media Studies

Contact

Contact Information

studieveileder@info.uib.no

Exam information

  • Type of assessment: (New exam)

    Withdrawal deadline
    11.09.2017
    • Exam part:

    • Exam part:

      Examination system
      Inspera
      Digital exam