Module Number INF3145 |
Module Title Scientific Visualization |
Type of Module Elective Compulsory |
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ECTS | 6 | |
Work load - Contact time - Self study |
Workload:
180 h Class time:
60 h / 4 SWS Self study:
120 h |
|
Duration | 1 Semester | |
Frequency | In the summer semester | |
Language of instruction | English | |
Type of Exam | Oral examination (written exam if there are a large number of participants) |
|
Lecture type(s) | Lecture, Tutorial | |
Content | The advances in modern high-performance computing and sensor technologies lead to increasingly large and complex data in many domains like the (life) sciences, medicine, physics, or engineering. Interactive visualization is often a crucial step to analyze these data. Scientific visualization is concerned with the depiction of data that has a spatial structure (mostly three-dimensional), for example medical volumes from CT or MRI scanners, or molecular structures. In this lecture, the steps of the visualization pipeline will be discussed, leading from the input data to the final image or the interactive rendering of the data set. This includes interpolation and filtering, mapping techniques, as well as the basics of (color) perception, computer graphics/rendering, and interaction. Visualization methods for different types of scientific data will be introduced, including particles, 3D scalar fields (volumes), vector fields, and tensor fields. In particular, the application of these methods for the visualization of biological as well as medical data will be discussed. This is, methods from Information Visualization (i.e., the visualization of abstract, non-spatial data) are not part of this lecture, as these are covered in BIO4364 - Visualization of Biological Data. |
|
Objectives | Students will |
|
Allocation of credits / grading |
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%) |
|
Prerequisite for participation | MEINFM3142 Computer Graphics | |
Lecturer / Other | Krone | |
Literature | Lecture slides will be made available for download. |
|
Last offered | unknown | |
Planned for | Sommersemester 2024 | |
Assigned Study Areas | BIOINFM2510, INFM2510, INFM3110, MDZINFM2510, MEINFM3210, MEINFM3220 |