Scientific Visualization

This module teaches methods for the graphical presentation and analysis of scientific datasets. The focus is on transforming numerical data into visual representations to gain new insights. The main topics are:

Grids and interpolation
triangulation
2D scalar fields
2D vector fields
3D vector fields
Indirect and direct volume visualization

Description

Semester:

Winter semester

SWS/ECTS: 6

Recommended for:

Master's students

Prerequisites

Students must have successfully completed module 4INFBA020 “Introduction to Visual Computing” or possess equivalent knowledge.

Exam type:

Oral

Register for this course on Moodle (https://moodle.uni-siegen.de/); the registration key will be sent to you via unisono email.

Lecture materials will be uploaded as slides to Moodle; the lecture will be held in person. The exercise sheets will be uploaded to Moodle, and the solutions will be discussed during the in-person session.

Objective:

Scientific visualization deals with the visual representation of simulation and measurement data from medicine, the natural sciences, and engineering. The focus is on interactive techniques for mapping abstract data fields onto representable geometries.