|
Type A
|
Code |
Competences Specific | | | A10 |
Use and develop methodologies, methods, techniques, specific-use programmes, regulations and standards for graphic computing.
|
| | A11 |
Conceptualise, design, develop and evaluate the person-computer interaction of computer products, systems, applications and services using advanced artificial intelligence techniques interaction.
|
| | A12 |
Create and operate virtual environments, and create, manage and distribute multimedia content guaranteeing the protection of privacy and copyright by techniques of computer security and Artificial Intelligence.
|
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Type B
|
Code |
Competences Transversal | | | CT2 |
Forming opinions on the basis of the efficient management and use of information |
| | CT3 |
Solve complex problems critically, creatively and innovatively in multidisciplinary contexts. |
| | CT5 |
Communicate complex ideas effectively to all sorts of audiences |
|
Type C
|
Code |
Competences Nuclear |
|
Type A
|
Code |
Learning outcomes |
| | A10 |
Identify the data representation models used in graphics systems.
Classify the models with respect to their scope.
Evaluate the necessary algorithms for manipulating the objects that form the scene and its display.
Identify the optimum graphic representations for each data type.
| | | A11 |
Recognise the elements that comprise the interaction, techniques and devices.
Adapt the interaction models to the type of data displayed.
| | | A12 |
Recognise the basis of the design and the presentation of the information.
Evaluates the algorithms for the representation of scientific data.
|
|
Type B
|
Code |
Learning outcomes |
| | CT2 |
Manage information and knowledge by making efficient use of the information technologies.
| | | CT3 |
Recognise the situation as a problem in a multidisciplinary, research or professional environment, and take an active part in finding a solution.
| | | CT5 |
Produce a persuasive, consistent and precise discourse that can explain complex ideas and effectively interact with the audience.
|
|
Type C
|
Code |
Learning outcomes |
| Topic |
Sub-topic |
| 1. Introduction to Computer Graphics Technologies |
1.1 Visualization basic principles
1.2 Introduction to graphical programming |
| 2. Scientific data visualization (SciVis) |
2.1 The visualization process
2.2 Data enconding: voxels, optimized structures
2.3 Visualization Techiniques: IVR, DVR |
| 3. Information visualization (InfoVis) |
3.1 Information design and presentation
3.2 Representing multivariate and temporal data
3.3 Representing hierarchical data
3.4 Representing graph data |
| 4. Integration of visualization in computer applications |
4.1 Interaction systems for visualizations
4.2 Graphical libraries for visualization and interaction |
| Methodologies :: Tests |
| |
Competences |
(*) Class hours
|
Hours outside the classroom
|
(**) Total hours |
| Introductory activities |
|
1 |
1.5 |
2.5 |
| Lecture |
|
9 |
13.5 |
22.5 |
| IT-based practicals |
|
13 |
20 |
33 |
| Presentations / oral communications |
|
2 |
2 |
4 |
| Personal attention |
|
1 |
0 |
1 |
| |
| Short-answer objective tests |
|
2 |
4 |
6 |
| Extended-answer tests |
|
2 |
4 |
6 |
| |
(*) On e-learning, hours of virtual attendance of the teacher.
(**) The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. |
Methodologies
| |
Description |
| Introductory activities |
Presentació de les eines i conceptes bàsics a utilitzar en l'assignatura |
| Lecture |
Presentació dels continguts |
| IT-based practicals |
Realització d'exercicis que treballen els continguts que es van presentant al llarg del curs |
| Presentations / oral communications |
Presentació de les pràctiques realitzades |
| Personal attention |
L'alumne es pot posar en contacte amb el professor en horaris de consulta o via correu electrònic |
|
Description |
|
The student can talk with the professors at the hours scheduled at the professor's office, or send an email to arrange a specific time for personalized attention. |
|
Methodologies |
Competences
|
Description |
Weight |
|
|
|
|
| IT-based practicals |
|
Exercicis que es van desenvolupant al llarg del curs a les sessions de laboratori |
30 |
| Presentations / oral communications |
|
Presentació de les pràctiques del curs |
10 |
| Short-answer objective tests |
|
Prova escrita sobre els conceptes treballats al llarg del l'assignatura |
30 |
| Extended-answer tests |
|
Prova escrita sobre la practica desenvolupada |
30 |
| Others |
|
|
|
| |
|
Other comments and second exam session |
|
La segona convocatòria suposa acabar i superar les parts pendents en la primera. Durant els exàmens no es podrà fer ús de cap dispositiu de comunicació i transmissió de dades. El no compliment d'aquest punt suposa automàticament la no superació de l'examen. |
| Basic |
edited by Charles D. Hansen, Chris R. Johnson, The Visualization handbook , 2005, Elsevier-Butterworth Heinemann
Colin Ware, Information visualization : perception for design, 2004, Morgan Kaufmann
C. Chen, W. Härdle, A. Unwin , Handbook of data visualization , 2007, Springer
|
|
| Complementary |
|
|
(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation. |
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