Syllabus Information

5.1. Methodological overview

The methodology followed in this course is oriented towards achievement of the learning objectives. A wide range of teaching and learning tasks are implemented, such as lectures, student participation, computer lab sessions for data visualization, autonomous and continuous work, practical tasks and research assignments, usually related with the student's PhD work.

5.2. Learning tasks

The course includes the following learning tasks:

• A01 Lectures (16 hours). The main course contents are presented and discussed, always using example problems related to Bio-Engineering. Student participation is encouraged.
• A03 Computer lab sessions (10 hours). Lab sessions are carried out in between lectures, in the same classroom. The students develop the theoretical concepts with the use of computer applications specifically designed for data visualization. Students use their own computers/laptops with software supplied by the theacher. Only free or public sofware is used.
• A05 Assignment. Development of a practical assignment, more complex than the ones done lab sessions that students can solve individually or in pairs. Ir requires a written report and a public presentation.
• A06 Tutorials. Students may ask any questions they have about unclear contents of the course, lab sessions or assignments.
• A08 Assessment. The students will take an exam, and submit several reports derived from the computer lab sessions and from the practical assignment.

5.3. Syllabus

The course will address the following topics:

Theory

1. What is really Data Visualization?
2. What are Computer Graphics?
3. Basic Data representation and modelling
4. Data Visualization Algorithms
5. Visualization in Biomedic Engineering

Practice

1. Three-dimensional data processing
   
2. Interactive applications for scientific data visualization: Paraview
   
3. Interactive applications for medical data visualization: 3DSlicer
4. Intro to specific application development: VTK

5.4. Course planning and calendar

Further information concerning the timetable, classroom, office hours, assessment dates and other details regarding this course, will be provided on the first day of class or please refer to the EINA website.

5.5. Bibliography and recommended resources

• BB Computer Graphics. Principles and practice. J. F. Hughes, A. Van Dam,… Addison Wesley. ISBN. 978-0-321-39952-6
• BB The Visualization Toolkit. W. Schroeder, H. Martin, B. Lorensen, http://www.kitware.com, ISBN. 0-13-954694-4, 2002
• Slides and classroom materials.