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Information Visualisation, 6 credits
Informationsvisualisering, 6 hp
TNM048
Main field of study
Computer Science and Engineering Media Technology and EngineeringCourse level
Second cycleCourse type
Programme courseExaminer
Jimmy JohanssonDirector of studies or equivalent
Camilla ForsellEducation components
Preliminary scheduled hours: 50 hRecommended self-study hours: 110 h
ECV = Elective / Compulsory / Voluntary
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 | 2 credits | U, G |
| PRA2 | Project assignment | 4 credits | U, 3, 4, 5 |
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
Preliminary scheduled hours: 50 hRecommended self-study hours: 110 h
Course literature
Information Visualization: Design for Interaction (2nd Edition), Robert Spence. Prentice Hall, 2007, samt relevanta forskningsartiklar| Code | Name | Scope | Grading scale |
|---|---|---|---|
| LAB2 | Laboratory work | 2 credits | U, G |
| PRA2 | Project assignment | 4 credits | U, 3, 4, 5 |
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.
Course literature is preliminary.
Information Visualization: Design for Interaction (2nd Edition), Robert Spence. Prentice Hall, 2007, samt relevanta forskningsartiklar
Note: The course matrix might contain more information in Swedish.
I = Introduce, U = Teach, A = Utilize
| I | U | A | Modules | Comment | ||
|---|---|---|---|---|---|---|
| 1. DISCIPLINARY KNOWLEDGE AND REASONING | ||||||
| 1.1 Knowledge of underlying mathematics and science (G1X level) |
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| 1.2 Fundamental engineering knowledge (G1X level) |
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X
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| 1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level) |
X
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X
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X
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| 1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level) |
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| 1.5 Insight into current research and development work |
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| 2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES | ||||||
| 2.1 Analytical reasoning and problem solving |
X
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X
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X
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| 2.2 Experimentation, investigation, and knowledge discovery |
X
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X
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X
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| 2.3 System thinking |
X
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X
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| 2.4 Attitudes, thought, and learning |
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X
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X
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| 2.5 Ethics, equity, and other responsibilities |
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| 3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION | ||||||
| 3.1 Teamwork |
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X
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| 3.2 Communications |
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X
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| 3.3 Communication in foreign languages |
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X
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| 4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT | ||||||
| 4.1 External, societal, and environmental context |
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X
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| 4.2 Enterprise and business context |
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X
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| 4.3 Conceiving, system engineering and management |
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X
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X
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| 4.4 Designing |
X
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X
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X
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| 4.5 Implementing |
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| 4.6 Operating |
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| 5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS | ||||||
| 5.1 Societal conditions, including economic, social, and ecological aspects of sustainable development for knowledge development |
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| 5.2 Economic conditions for knowledge development |
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| 5.3 Identification of needs, structuring and planning of research or development projects |
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| 5.4 Execution of research or development projects |
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| 5.5 Presentation and evaluation of research or development projects |
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