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Education

Postgraduate course

Visualization

ECTS Credits

10

Level of Study

Bachelor/master/PhD

Full-time/Part-time

Full-time

Teaching semester

Spring

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 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

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

Required Previous Knowledge

At least 60 ECTS in computer science, preferably including INF100 and INF101 (or a comparable education); MAT101 (or MAT111, or any other comparable course).

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

At the end of the semester there is a written digital exam (three hours). If less than 20 students are taking the course, the exam can be oral. 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

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

Examination both spring semester and autumn semester. In semesters without teaching the examination will be arranged at the beginning of the semester.

Reading List

The reading list will be available within June 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.no Student 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

Contact Information

Student adviser:

mailto:studieveileder@ii.uib.no Student adviser

T: 55 58 42 00

Exam information

  • Type of assessment: Oral examination

    Withdrawal deadline
    29.05.2018
    Examination result announcement
    18.06.2018