Level of Study
Objectives and Content
This course introduces students to the field of visualizations. Students will learn basic visualization design and evaluation principles, and gain a broad overview of visualization algorithms and techniques for various types of data and tasks. In a practical design and implementation project, they can develop their analytical abilities and further their programming skills.
The course covers fundamental concepts in visualization analysis design including their perceptual implications. The topics of the course include approaches, methods, and algorithms from volume visualization, flow visualization, information visualization and visual analytics.
On completion of the course the student should have the following learning outcomes defined in terms of knowledge, skills and general competence:
- has a thorough understanding of the principles of visualization and its subfields
- has knowledge about human perception and how it relates to visualization design
- has an overview of visualization approaches for volume, flow, tabular, network, tree, set, and text data
- has detailed knowledge in methods and techniques for the visualization of scalar and vector fields
- has an understanding of fundamental computational and interactive methods in visual analytics
- can analyze task requirements and design visualization solutions
- is able to evaluate and communicate visualization design alternatives
- can identify and select visualization techniques appropriate for particular applications
- can realize visualization solutions using modern programming techniques
- can critically read and discuss scientific papers on a specific topic
- can independently organize, structure, and realize small scale software projects
Required Previous Knowledge
Recommended Previous Knowledge
INF250, INF251. A solid background in (object-oriented) programming, comprised of both knowledge and practical experience, is required. In particular, we recommend having experiences with C/C++ before subscribing to this course.
Credit Reduction due to Course Overlap
INF212: 10 ECTS
Access to the Course
Access to the course requires admission to a programme of study at The Faculty of Mathematics and Natural Sciences
Teaching and learning methods
The course is built upon lectures, programming tutorials and programming assignments, as well as exercises. On average, students will meet up for lectures, tutorials, and exercises for 5 hours per week.
Compulsory Assignments and Attendance
The exercises must be attended. The programming assignments will be evaluated and must be passed. An exam (about the content of the lectures) needs to be passed, as well. Compulsory assignments are valid two semesters, the semester of the approval and the following semester.
Forms of Assessment
Oral exam. The overall evaluation of the course is then a combination of the grading of the programming assignments and the exam.
Examination Support Material
Non-programmable calculator, according to the faculty regulations
The grading scale used is A to F. Grade A is the highest passing grade in the grading scale, grade F is a fail.
Examination both spring semester and autumn semester. In semesters without teaching the examination will be arranged at the beginning of the semester.
The reading list will be available within June 1st for the autumn semester and December 1st for the spring semester
The course will be evaluated by the students in accordance with the quality assurance system at UiB and the department
The Programme Committee is responsible for the content, structure and quality of the study programme and courses.
Course coordinator and administrative contact person can be found on Mitt UiB, or contact
The Faculty of Mathematics and Natural Sciences represented by the Department of Informatics is the course administrator for the course and study programme.
Type of assessment: Oral examination
- Exam period
- Withdrawal deadline