Courses: INF358 Seminar in Visualization - Spring 2024




ECTS Credits

10 ECTS

Level of Study

Master/ PhD

Language of Instruction

English

 

Teaching semester

Autumn

Objectives and Content

Objectives:
The main objective of course INF358 is twofold: On the one hand, students are introduced to a variety of visualization solutions (tools) and exercise them on selected datasets, while, on the other hand, the students are also introduced to the basic methods of scientific work, ranging from literature research to presenting own research. After the successful completion of course INF358, students know about common solutions/tools in visualization and how to use them; they have also learned the principal practices of scientific work and acquired first experiences with them.

Content:
Course INF358 addresses a variety of visualization cases, including tabular data visualization, time-dependent data visualization, graph visualization, and scientific data visualization. In terms of the principles of scientific work, course INF358 addresses literature research and literature review, doing scientific work based on related work, as well as writing and presenting own (scientific) work.

Learning Outcomes

 

After the successful completion of the course the student should have the following learning outcomes defined in terms of knowledge, skills and general competence:

 

Knowledge
The student

Skills
The student

General competence
The student

Required Previous Knowledge

Recommended Previous Knowledge

Credit Reduction due to Course Overlap

VISUAL: 10 ECTS

Access to the Course

Access to the course requires admission to a master's programme or to a PhD programme at The Faculty of Mathematics and Natural Sciences

Teaching and learning methods

Teaching is done in the form of lectures, group meetings, and exercises.

Compulsory Assignments and Attendance

The students must achieve at least 50% of all possible points at the exercises/assignments.

Forms of Assessment

The form of assessment is:

Examination Support Material

Grading Scale

The grading scale used is A to F. Grade A is the highest passing grade in the grading scale, grade F is a fail.

Assessment Semester

Autumn

Reading List

The reading list will be available within July 1st for the autumn semester and December 1st for the spring semester.

Course Evaluation

The course will be evaluated by the students in accordance with the quality assurance system at UiB and the department.

Programme Committee

The Programme Committee is responsible for the content, structure and quality of the study programme and courses.

Course Coordinator

Course coordinator and administrative contact person can be found on Mitt UiB, or contact mailto:studieveileder@ii.uib.noStudent adviser

Course Administrator

The Faculty of Mathematics and Natural Sciences represented by the Department of Informatics is the course administrator for the course and study programme.

Contact Information

This course is administered by the Department of Informatics.

Contact mailto:studieveileder@ii.uib.nostudieveileder@ii.uib.no