Information Visualisation, 6 credits (TNM048)
Informationsvisualisering, 6 hp
Main field of study
Computer Science and Engineering Media Technology and EngineeringLevel
Second cycleCourse type
Programme courseExaminer
Jimmy JohanssonDirector of studies or equivalent
Camilla ForsellCourse offered for | Semester | Period | Timetable module | Language | Campus | VOF | |
---|---|---|---|---|---|---|---|
6CDDD | Computer Science and Engineering, M Sc in Engineering | 8 (Spring 2017) | 1 | 3 | Swedish/English | Norrköping | v |
6CDDD | Computer Science and Engineering, M Sc in Engineering (Signal and Image Processing) | 8 (Spring 2017) | 1 | 3 | Swedish/English | Norrköping | v |
6CMEN | Media Technology and Engineering, M Sc in Engineering | 8 (Spring 2017) | 1 | 3 | Swedish/English | v | |
6CYYY | Applied Physics and Electrical Engineering, M Sc in Engineering (Signal and Image Processing) | 8 (Spring 2017) | 1 | 3 | Swedish/English | Norrköping | v |
6CYYY | Applied Physics and Electrical Engineering, M Sc in Engineering | 8 (Spring 2017) | 1 | 3 | Swedish/English | Norrköping | v |
6CITE | Information Technology, M Sc in Engineering | 8 (Spring 2017) | 1 | 3 | Swedish/English | Norrköping | v |
6CITE | Information Technology, M Sc in Engineering (Signal and Image Processing) | 8 (Spring 2017) | 1 | 3 | Swedish/English | Norrköping | v |
6CYYI | Applied Physics and Electrical Engineering - International, M Sc in Engineering (Signal and Image Processing) | 8 (Spring 2017) | 1 | 3 | Swedish/English | Norrköping | v |
6CYYI | Applied Physics and Electrical Engineering - International, M Sc in Engineering | 8 (Spring 2017) | 1 | 3 | Swedish/English | Norrköping | v |
6CYYI | Applied Physics and Electrical Engineering - International, M Sc in Engineering (Signal and Image Processing) | 8 (Spring 2017) | 1 | 3 | Swedish/English | Norrköping | v |
6CYYI | Applied Physics and Electrical Engineering - International, M Sc in Engineering | 8 (Spring 2017) | 1 | 3 | Swedish/English | Norrköping | v |
6CYYI | Applied Physics and Electrical Engineering - International, M Sc in Engineering (Signal and Image Processing) | 8 (Spring 2017) | 1 | 3 | Swedish/English | Norrköping | v |
6CYYI | Applied Physics and Electrical Engineering - International, M Sc in Engineering | 8 (Spring 2017) | 1 | 3 | Swedish/English | Norrköping | v |
6CYYI | Applied Physics and Electrical Engineering - International, M Sc in Engineering (Signal and Image Processing) | 8 (Spring 2017) | 1 | 3 | Swedish/English | Norrköping | v |
6CYYI | Applied Physics and Electrical Engineering - International, M Sc in Engineering | 8 (Spring 2017) | 1 | 3 | Swedish/English | Norrköping | v |
6CYYI | Applied Physics and Electrical Engineering - International, M Sc in Engineering (Signal and Image Processing) | 8 (Spring 2017) | 1 | 3 | Swedish/English | Norrköping | v |
6CYYI | Applied Physics and Electrical Engineering - International, M Sc in Engineering | 8 (Spring 2017) | 1 | 3 | Swedish/English | Norrköping | v |
6MDAV | Computer Science, Master's programme | 2 (Spring 2017) | 1 | 3 | Swedish/English | v | |
6CMJU | Computer Science and Software Engineering, M Sc in Engineering | 8 (Spring 2017) | 1 | 3 | Swedish/English | Norrköping | v |
6MICS | Computer Science, Master's programme | 2 (Spring 2017) | 1 | 3 | Swedish/English | v |
Main field of study
Computer Science and Engineering, Media Technology and EngineeringCourse level
Second cycleAdvancement level
A1XCourse offered for
- Computer Science and Engineering, M Sc in Engineering
- Media Technology and Engineering, M Sc in Engineering
- Applied Physics and Electrical Engineering, M Sc in Engineering
- Information Technology, M Sc in Engineering
- Applied Physics and Electrical Engineering - International, M Sc in Engineering
- Computer Science, Master's programme
- Computer Science and Software Engineering, M Sc in Engineering
Entry requirements
Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.
Prerequisites
Programming. Computer graphics and webprogramming is good but not required.
Intended learning outcomes
After completing the course, the student should be able to:
- assess the use of advanced techniques for analysis of large complex data sets
- reflect on the relevance of perception in the interpretation of interactive representations
- apply standard methods for evaluation of interactive information visualization applications
- implement interactive applications for information visualization
Course content
The lectures provide the theoretical framework necessary to work with information visualization. These cover methods for interactive visualization of large complex data sets, common in areas such as: product development, health-care, process control, bioinformatics, etc. The lectures will also cover perception and methods for evaluation. The labs will focus on the implementation of interactive information visualization and here students work in small groups to make practical use of techniques to analyze abstract datasets. In a final project assignment, the student gets the opportunity to specialize in a specific field of information visualization.
Teaching and working methods
The course is composed of lectures, laboratory assignments and a project assignment
Examination
LAB2 | Laboratory work | U, G | 2 credits |
PRA2 | Project assignment | U, 3, 4, 5 | 4 credits |
Grades
Four-grade scale, LiU, U, 3, 4, 5Department
Institutionen för teknik och naturvetenskapDirector of Studies or equivalent
Camilla ForsellExaminer
Jimmy JohanssonCourse website and other links
http://webstaff.itn.liu.se/~jimjo/courses/TNM048/Education components
Preliminär schemalagd tid: 50 hRekommenderad självstudietid: 110 h
Course literature
Information Visualization: Design for Interaction (2nd Edition), Robert Spence. Prentice Hall, 2007, samt relevanta forskningsartiklarLAB2 | Laboratory work | U, G | 2 credits |
PRA2 | Project assignment | U, 3, 4, 5 | 4 credits |
Regulations (apply to LiU in its entirety)
The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.
LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva.
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