M1104-CMS15
Data Visualization
|
|
|
|
| Module Owner: |
Prof. Dr. rer. nat. Stefan Gumhold |
| Displayed in timetable as: |
CMS-COR-VIZ |
| Duration: |
7 |
| Number of electives: |
0 |
| Credits: |
5,0
|
| Start Semester: |
WiSe 2020/21 |
| Lecturer Responsible |
Prof. Dr. Stefan Gumhold
stefan.gumhold@tu-dresden.de
|
| Qualification Goals |
Upon completing this module, the students will acquire the basics and practices of scientific visualisation of measurement and experimental data, as well as simulation results. They know the basics of visual perception and their influence on the design of visualisations. Students can confidently specify data by dimension, feature types, and structure and select appropriate visual attributes for a given specification. They know the most important visualisation forms for 2-, 3- and multidimensional observation spaces, as well as for scalar, vectorial, tensor-valued and multidimensional features. They are able to select suitable techniques for the respective visualisation task. Students are familiar with basic presentation- and interaction techniques and can thoroughly implement them in an interactive visual analysis system. They know the most important visualisation frameworks, have gathered practical experience and are able to select these tasks appropriately. |
| Content |
The contents of the module are the basics of data visualisation, which deals with the mapping of data of different types on visual attributes, and builds on knowledge about the visual perception of humans. |
| Forms of Teaching and Learning |
The module includes 2 SWS worth of lectures, 2 SWS worth of exercises and the self-study. |
| Prerequisites for Participation |
Knowledge in sequential computer programming, algorithms and data structures, analysis of functions of one and several variables, basic techniques of data analysis and linear algebra (vector and matrix calculation) at the Bachelor's level is required.
With the following literature, students can prepare for the module:
Harel: Algorithmics - The Spirit of Computing, Addison-Wesley, 2004
Schildt: C ++ from the ground up, McGraw-Hill, 2003
Abelson, Hal; Sussman, Gerald Jay: Structure and Interpretation of Computer Programs. MIT Press, 1985;
Cormen, Leiserson, Rivest & Stein: Introduction to Algorithms, 2nd Edition, MIT Press 2001;
Lax, Terrell: Multivariable Calculus with Applications (Undergraduate Texts in Mathematics), Springer, 2018
Hefferon, Jim: Linear Algebra, http://joshua.smcvt.edu/linearalgebra/, 2008.
|
| Applicability |
In the Computational Modelling and Simulation Master's programme, the module is one of ten compulsory elective modules (for students of Computational Life Science: nine), of which three must be chosen. |
| Prerequisites for the Assignment of Credit Points |
The credit points are awarded if the module examination is passed. If there are more than 10 registered students, the module examination consists of a written examination, with a duration of 90 minutes. If there are 10 or fewer registered students, it consists of an oral examination as an individual examination performance amounting to 30 minutes; this will be announced to the enrolled students at the end of the enrollment period. |
| Credit Points and Grades |
This module allows for the earning of 5 credit points. The module grade corresponds to the grade of the examination performance. |
| Frequency of Offer |
The module is offered every winter semester. |
| Workload |
The workload is a total of 150 hours. |
| Duration of Module |
The module takes one semester. |
| Module Number Module Handbook TU Dresden |
CMS-COR-VIZ |
