|
Type A
|
Code |
Competences Specific | | | T10 |
Use and develop methodologies, methods, techniques, specific-use programmes, regulations and standards for graphic computing. |
| | T11 |
Conceptualise, design, develop and evaluate the person-computer interaction of computer products, systems, applications and services. |
| | T12 |
Create and operate virtual environments, and create, manage and distribute multimedia content. |
|
Type B
|
Code |
Competences Transversal | | | B2 |
Aplicar el pensament crític, lògic i creatiu, demostrant capacitat d’innovació. |
|
Type C
|
Code |
Competences Nuclear | | | C2 |
Be advanced users of the information and communication technologies |
|
Type A
|
Code |
Learning outcomes |
| | T10 |
Classify the models with respect to their scope.
Identify the data representation modes used in graphics systems.
Identify the optimum graphic representations for each data type.
Evaluate the necessary algorithms for manipulating the objects that form the scene and its display.
| | | T11 |
Adapt the interaction models to the type of data displayed.
Recognise the elements that comprise the interaction, techniques and devices.
| | | T12 |
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 |
| | B2 |
Put forward new ideas, opportunities or solutions to familiar problems and/or processes.
|
|
Type C
|
Code |
Learning outcomes |
| | C2 |
Use software for on-line communication: interactive tools (web, moodle, blogs, etc.), e-mail, forums, chat rooms, video conferences, collaborative work tools, etc.
|
| 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 |
|
2 |
0 |
2 |
| Lecture |
|
20 |
17 |
37 |
| Practicals using information and communication technologies (ICTs) in computer rooms |
|
24 |
17 |
41 |
| ICT practicals |
|
4 |
16 |
20 |
| Presentations / expositions |
|
2 |
16 |
18 |
| Previous studies |
|
4 |
16 |
20 |
| Personal tuition |
|
2 |
0 |
2 |
| |
| Objective short-answer tests |
|
2 |
8 |
10 |
| |
(*) 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 |
| Practicals using information and communication technologies (ICTs) in computer rooms |
Realització d'exercicis que treballen els continguts que es van presentant al llarg del curs |
| ICT practicals |
Aplicació dels conceptes en casos pràctics |
| Presentations / expositions |
Presentació de les pràctiques realitzades |
| Previous studies |
Cerca d'informació sobre temes concrets |
| Personal tuition |
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 |
|
|
|
|
| Practicals using information and communication technologies (ICTs) in computer rooms |
|
Exercicis que es van desenvolupant al llarg del curs a les sessions de laboratori |
35% |
| ICT practicals |
|
Desenvolupament de pràctiques |
25% |
| Presentations / expositions |
|
Presentació de les pràctiques del curs |
10% |
| Objective short-answer tests |
|
Prova escrita sobre els conceptes treballats al llarg del l'assignatura |
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 |
|
|
| |
| Other comments |
|
The classes will be in English. |
(*)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. |
|