| INFB Data Processing with MATLAB™ | Course | INF | |
|---|---|---|---|
| Lecturers : |
Prof. Dr. Thomas Schrader
eMail
Dr. Katja Orlowski eMail |
Term | 3 |
| Course Classification : | Bachelor Informatik, Profil-Katalog B-INF-Profil | CH | 4 |
| Language : | Deutsch/Englisch | Type | VÜ |
| Type of examination : | PL | Credits | 5 |
| Method of evaluation : | written examination 120 min | ||
| Requirements : | |||
| Cross References : | |||
| Previous knowledges : | First programming experience Knowledge of matrices and complex numbers (Basic knowledge in medicine and medical informatics) | ||
| Aids and special features : | Additional assessments during the semester may be included in the final grading. | ||
| Teaching aims : | Understanding The students understand the different forms of data (text, numbers, tables, images, sound). They can explain the special properties of each data form. They can explain the components of the data lifecycle. Analyzing The students can analyze and describe the relationship between data, information, and knowledge. They can import data from different sources using MATLAB™. They can conduct simple analyses. Assessing The students can assess medical data regarding the quality and content-related information. They can identify relevant information within a given dataset. Applying The students apply the fundamental principles of the ETL-process (Extract, Transform, Load). They can conduct analyses independently. Implementing The students can implement simple ETL-processes in MATLAB™. | ||
| Contents : | Introduction to MATLAB™ | ||
| Literature : | Schweizer W.: MATLAB kompakt, Oldenbourg 2013. Werner M.: Digitale Signalverarbeitung mit MATLAB, Springer Verlag 2012 Gonzales R.C., Woods R.E., Eddins S.L.: Digital Image Processing using MATLAB, Pearson 2004 Hoffmann J., Quint F.: Signalverarbeitung mit MATLAB und Simulink, Oldenbourg, 2007 | ||