Research Topics in Networks and Text Analysis
Level of Study
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.
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%)
The grading system has a descending scale from A to E for passes and F for fail.
Assessment in teaching semester
The course is evaluated every third year