Visualization
Postgraduate course
- ECTS credits
- 10
- Teaching semesters
- Spring
- Course code
- INF252
- Number of semesters
- 1
- Teaching language
- English
Course description
Objectives and Content
Objectives:
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.
Content:
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.
Learning Outcomes
On completion of the course the student should have the following learning outcomes defined in terms of knowledge, skills and general competence:
Knowledge
The student
- 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 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
Skills
The student
- 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
General competence
The student
- can critically read and discuss scientific papers on a specific topic
- can independently organize, structure, and realize small scale software projects
ECTS Credits
Level of Study
Semester of Instruction
Required Previous Knowledge
Recommended Previous Knowledge
Credit Reduction due to Course Overlap
INF212: 10 ECTS
DIGI118: 2.5 ECTS
Access to the Course
Teaching and learning methods
Compulsory Assignments and Attendance
Forms of Assessment
Portfolio assessment. The portfolio consists of hand-ins and oral exam. Hand-ins and oral exam must be passed as both elements tests the course's learning outcome. The weighting is announced on Mitt UiB at the start of the semester. The portfolio can due to oral exam not be regraded.
In semester with no teaching, the exam will be early in the semester. The results from portfolio will be included.