Information Visualisation (2185) |
| Credits: 6,0 | | Study load hours: 162 | Period: semester 2 (6sp)  |
| Language of instruction: English | | Exam contract: not possible |
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The student can program fluently
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The course "Information Visualization" focuses on the study of visualization principles and techniques that facilitate improved understanding and analysis of data. Participants in this course not only develop a critical perspective on existing visualizations but also receive training in designing and implementing appropriate visualizations for complex and multidimensional datasets.
The course provides a comprehensive overview of various visualization types and techniques, ranging from static visualizations, known as "flatland" visualizations, which can also be represented on paper, to interactive visualizations of multidimensional data. The lectures cover a wide range of topics, including design principles, Tufte's graphical excellence, visualization integrity, and data-ink theory. Additionally, perception and color theory are explored, encompassing Gibson's affordance theory, perceptual processing, environmental factors, light, brightness, contrast, and constancy. Other topics covered include graph and connectivity visualization, focus + context visualizations, interaction techniques, and both generic and specific visualizations for complex and often multidimensional data.
Moreover, the course introduces students to various toolkits and methodologies for creating visualizations, providing them with hands-on experience in building their own visualizations. Students collaborate in groups to work on visualizations that leverage available datasets, aiming to generate innovative insights within specific domains.
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| Compulsory course material |
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Copies of articles.
Course material is distributed during the class or made available via the web |
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| Recommended reading |
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Information Visualization: Perception for Design,Colin Ware,3,Morgan Kaufmann,9780123814647,Available as e-book: https://ebookcentral.proquest.com/lib/ubhasselt/detail.action?docID=8922 23&pq-origsite=summon
Information Visualization: Design for Interaction,Robert Spence,2,Pearson,9780132065504
Information Graphics: A Comprehensive Illustrated Reference,Robert L. Harris,Oxford University Press,9780195135329,Available as e-book: https://ebookcentral.proquest.com/lib/ubhasselt/detail.action?docID=4703 026&pq-origsite=summon
The Visual Display of Quantitative Information,Edward R. Tufte,2,Graphics Press,9780961392147
Envisioning Information,Edward R. Tufte,1,Graphics Press,9781930824140
Readings in Information Visualization: Using Vision to Think,Stuart K. Card; Jock Mackinlay; Ben Shneiderman,1,Morgan Kaufmann,9781558605336
Visualization Analysis & Design,Tamara Munzner,1 |
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Lecture ✔
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Project ✔
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Small group session ✔
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Semester 2 (6,00sp)
| Evaluation method | |
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| Other evaluation method during teaching period | 50 % |
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| Transfer of partial marks within the academic year | Yes, with condition |
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| Conditions transfer of partial marks within the academic year | Minstens 50% behaald. |
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| Oral exam | 50 % |
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| Transfer of partial marks within the academic year | Yes, with condition |
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| Conditions transfer of partial marks within the academic year | Minstens 50% behaald. |
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Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
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Learning outcomes | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
Master of Computer Science
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- EC
| EC 3: A graduate of the Master of Computer Science programme has the necessary knowledge and insights in at least one subdiscipline which allow to contribute to the development and the application of innovative ideas in a certain area of computer science (by deepening basic knowledge at bachelor level, including that of mathematical and other scientific foundations). | - EC
| EC 5: A graduate of the Master of Computer Science programme is able to independently model a complex problem in computer science, to introduce the necessary abstractions, to describe and to implement the solution in a structured manner, and, finally, to discuss with the stakeholders why the chosen solution and the corresponding implementation meet with the specifications. | - EC
| EC 6: A graduate of the Master of Computer Science programme is able to independently situate a scientific problem, analyse and evaluate it, to formulate a research question and propose a solution for this in a scientifically substantiated manner. | - EC
| EC 7: A graduate of the Master of Computer Science programme is able to analyse and evaluate information in a critical manner and to process this information efficiently. | - EC
| EC 8: A graduate of the Master of Computer Science programme is able to communicate information, ideas and solutions to an audience of fellow computer scientists and to non-specialists by expressing him or herself on the proper level of abstraction. | - EC
| EC 10: A graduate of the Master of Computer Science programme is able to work in team; he or she is able to distribute and coordinate the activities through cooperation in small and large groups. |
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| Included in these programmes | Tolerance3 |
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Y
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Master Computer Science profile Engineering Interactive Systems
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Y
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Master of Computer Science choice
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Y
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1 Education, Examination and Legal Position Regulations art.12.2, section 2. |
| 2 Education, Examination and Legal Position Regulations art.15.1, section 3. |
3 Education, Examination and Legal Position Regulations art.16.9, section 2.
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