Scientific Visualization
Faculteit  Science and Engineering 
Jaar  2022/23 
Vakcode  WMCS01805 
Vaknaam  Scientific Visualization 
Niveau(s)  master 
Voertaal  Engels 
Periode  semester I a 
ECTS  5 
Rooster  rooster.rug.nl 
Uitgebreide vaknaam  Scientific Visualization  
Leerdoelen  At the end of the course, the student is able to: 1) understand the basic principles and fundamental methods of scientific visualization and the connection to related fields. 2) implement scientific visualization techniques in a small team. 3) report about the implementations, in terms of algorithms developed, experimental results, and critical analysis. 

Omschrijving  The aim of this course is to introduce students to the theory and practice of data visualization. After following this course, the students should have a good understanding of scientific data representation (sampling, reconstruction, interpolation, representation in computer models), the structure and operation of the data visualization pipeline, and both theoretical and implementationlevel knowledge of the most frequently used algorithms for scalar, vector, and tensor data visualization. They should be able to select the appropriate algorithms, and algorithm settings, for solving a concrete scientific visualization problem for a given application domain and data source. On a practical side, the students should be capable of designing and efficiently implementing the abovementioned algorithms in a major programming language. They should be able to explain the characteristics of the different algorithms for concrete usecases, and support their explanations with both theoretical and practical arguments.  
Uren per week  
Onderwijsvorm 
Hoorcollege (LC), Practisch werk (PRC)
(All lectures and lab sessions are mandatory.) 

Toetsvorm 
Practisch werk (PR), Schriftelijk tentamen (WE)
(The final grade F for this course is obtained as follows. Let P = mark practicals, E = mark written exam. If E<5 then F=E else F= (E+P)/2. Final grades are rounded to half integers, except for final grades between 5 and 6, which are rounded to integers.To pass the course, a final grade of at least 6 is required.) 

Vaksoort  master  
Coördinator  Dr. S.D. Frey  
Docent(en)  Dr. S.D. Frey  
Verplichte literatuur 


Entreevoorwaarden  Assumed prior knowledge/ skills: Linear algebra Calculus Computer graphics Generalpurpose programming (C++, Python) 

Opmerkingen  This course has limited enrollment:  CS students can always enter the course, regardless of whether the course is mandatory for them or not.  The number of enrolments for other nonCS students is limited. These students need to meet the course prerequisite requirements as mentioned on Ocasys. Priority is given to students for which the course is an official elective (see list below).  An exception can be made for exchange students, if they have a CS background: please contact the FSE International Office. See here for more info about the enrollment procedure. 

Opgenomen in 