TNM048 Information Visualisation 2011

Study Guide@lith

Valid for year : 2011

TNM048	Information Visualisation , 6 ECTS credits. /Informationsvisualisering/ For: ACG D IT MT
	Prel. scheduled hours: 30 Rec. self-study hours: 130
	Area of Education: Technology Main field of studies: Media Technology, Computer Engineering
	Advancement level (G1, G2, A): A
	Aim: The course aims to provide students with a combination of theoretical and practical knowledge in the areas of information visualization (InfoVis) and spatial visualization (GeoVis) and often associated data handling "visual data mining. Through practical exercises in the form of laboratory work and a more extensive project work done during the course, a deepening of how to integrate visual representations of interaction and perception, and data transformations. In addition, mediates the course of theoretical knowledge about perception and cognition in particular, color management and interaction based on the visual user interface. The project work is anchored in practical environmental activities in cooperation with the Research Center National Center Visual Analytics, which provides a good experience and a platform for students' future work in both industry and management. In particular, the NCVA's research collaboration with SMHI, Sweden, OECD, Ericsson and Unilever will be exemplified. Further included basic methods for evaluation of the project work. Programming Languages Visual Studio .NET / DirectX, and Adobe Flash was used in the course of the laboratory work to develop dynamic InfoVis and GeoVis applications. The student will after the passing grade to have received both theoretical and practical knowledge for further work in InfoVis and GeoVis with the following skills: Introduction to InfoVis and GeoVis - understanding of concepts and use. Explain the concepts and have experience of its practical use for the well-known multivariate (multidimensional) InfoVis methods as parallel coordinates, table lens, treemap, star glyph, scatter matrix and the heat map. InfoVis techniques for visualization of quantitative and categorical data. Understand and illustrate the "Visual Information Seeking mantra: Overview first, zoom and filter, then Details on demand". Explain and implement conceptual approaches to "Focus & Context" in practical use. Theoretical and practical knowledge of methods for dynamically linked and coordinated views. Methods for direct manipulation and visual search methods of large data sets. Create dynamic linked application where both the map (GeoVis) and advanced methods from the InfoVis included. Be able to clarify the difference between between a "Communicative" and an "Exploratory" visual analysis. Describe the methods included in the "User Centric" application development in InfoVis and GeoVis. Understand and explain the processes involved in "analytical reasoning" ( "sense-making loop"). Describe how data mining can be used in InfoVis and explaining the algorithm's importance. Explain how Visual Analytics and Analytics Geovisual related to InfoVis and GeoVis. Visualization and interaction of time data in InfoVis and GeoVis. Conducting usability evaluations and to measure against established objectives.
	Prerequisites: (valid for students admitted to programmes within which the course is offered) Basic experience with C or C# Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshhold requirements for progression within the programme, or corresponding.
	Organisation: The course includes seminars, laboratories and project group assignments
	Course contents: This course provides an introduction and basic knowledge of InfoVis and often related spatial (geographic) visualization (GeoVis) with many practical examples. Management of large abstract, statistical, time and spatial datasets in particular statistics, environment, health, risk analysis and knowledge-generating methods with the experience of bodies such Sweden and SMHI. Visual data mining methods, focusing on industrial data management applications with experience from Ericsson and Unilever research. The course focuses on practical use of InfoVis and GeoVis methods that lay the foundation for a strong expertise.
	Course literature: The course litterature will be available on the course homepage
	Examination:
	Written examination Group project assignment Laboratory work	1,5 ECTS 3 ECTS 1,5 ECTS


Course language is Swedish/English. Department offering the course: ITN. Director of Studies: Dag Haugum Examiner: Mikael Jern Link to the course homepage at the department Course Syllabus in Swedish

Linköping Institute of Technology
Contact: TFK , val@tfk.liu.se Last updated: 11/03/2011