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Postgraduate course

Research Topics in Networks and Text Analysis

  • ECTS credits15
  • Teaching semesterSpring, Autumn
  • Course codeINFO371
  • Number of semesters1
  • LanguageEnglish
  • Resources

Main content

Level of Study


Teaching semester


Objectives and Content

The course will provide both theoretical and practical basis for the topics covered in the course. It will allow the students to engage into research projects in both network science and text analysis.

The course will establish a theoretical understanding of many problems and methods studied in network science and/or text analysis. After establishing the basics, the focus will be put on the study of networks of texts in particular. Participants will also gain practical experience with the studied material by performing their own analysis of real-world data.

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

  • knows various theoretical and practical issues in network theory and text analysis.
  • knows relevant research and trends in network science and text analysis, as well as new research problems.

Skills: The candidate

  • can apply the appropriate techniques to analyze big networked data and to explain their choice of technologies to solve particular problems.

Required Previous Knowledge

Bachelor in Information Science or equivalent.

Access to the Course

Master in information science. The course is open to other master students and to international students with a solid background in information science under application.

Teaching and learning methods

Lectures, work with subject assignment, presentations and discussions

Compulsory Assignments and Attendance

There will be mandatory assignments which must be completed and approved. The approved mandatory assignments cannot be carried over to other semesters.

Mandatory participation: Attendance at 80 % of course sessions is mandatory.

Forms of Assessment

Oral individual exam (40%)

Group based semester project(s) (60%)

Grading Scale

The grading system has a descending scale from A to E for passes and F for fail.

Assessment Semester

Assessment in teaching semester

Course Evaluation

All courses are evaluated according to UiB's system for quality assurance of education.