MED-B3KOB
Elective year 3, Advanced data analysis and programming: How to make more of your results?
Cursus informatieRooster
CursusMED-B3KOB
Studiepunten (ECTS)3
CategorieB3 (Derde jaar bachelor)
VoertaalNederlands
Aangeboden doorRadboud Universiteit; Faculteit der Medische Wetenschappen; Biomedische wetenschappen;
Docenten
Examinator
dr. A.M.A. Pistorius
Overige cursussen docent
Docent
dr. A.M.A. Pistorius
Overige cursussen docent
Contactpersoon van de cursus
dr. A.M.A. Pistorius
Overige cursussen docent
Collegejaar2022
Periode
KOBA-WO  (05-09-2022 t/m 31-08-2023)
Aanvangsblok
KOBA-WO
Onderwijsvorm
voltijd
Opmerking-
Inschrijven via OSIRISJa
Inschrijven voor bijvakkersNee
Voorinschrijving
WachtlijstJa
PlaatsingsprocedureOp basis van loting
ToelichtingOp basis van loting
Cursusdoelen
  1. After completion of this course, in your future role of researcher, you will be able to adequately use the scientific software suite MATLAB for graphical presentation, signal analysis, statistics and curve fitting in order to analyze data or to critically assess results of colleagues.
  2. In support of this goal, you have acquainted yourself with elementary programming techniques, such that you are able to develop small programs for importing or manipulating data, automated data analysis or creating graphs.
Inhoud
In many areas of the biomedical sciences you, as a researcher have the task to discover relevant parameters in sometimes large data sets or to match experimental data with a theoretical model. It appears not easy to make a choice from a wealth of specialized, user-friendly, commercial software and to remain critical with respect to the method and the outcome, when using these packages. In order to prevent scientific errors and to improve reusability of data and software, data-analysis is often carried out using e.g. MATLAB, R or Image-J. Although the latter two open source programs are more specialized for statistics and image analysis respectively, these all-purpose programs are available for several computer platforms and might be considered as standard programs for tackling all kinds of data-acquisition, analysis, and visualization of scientific data in many fields of science. By virtue of their open character, you are free to adapt its functionality and to design new functionality to tailor the program to your own needs.

In this practical course, you will develop experience in the use of MATLAB as an example of one of the most important scientific software suites. Training in the use of such a program may prove advantageous in later stages of your study or career when research data have to be analyzed or when literature data have to be critically assessed. Moreover, armed with this experience, you are able to understand and to adapt programs or scripts in other programming languages when needed. MATLAB will be introduced as an all-round, full-fledged programming environment. Elements of the syntax and the use of function M-files are treated and applied to research questions from the biomedical sciences (data analysis, statistics and graphical presentation) which you will elaborate with a fellow-student. Case studies are selected from  biochemistry, bioinformatics, cell biology, pharmacology, neurosciences, physiology, hematology and cardio-vascular studies.  You are invited to work on research projects of your own choice.
Niveau

Voorkennis

Toetsinformatie

Bijzonderheden

Werkvormen
Werkgroep

Toetsen
Fourier transformations and use of toolb
Weging10
ToetsvormOpdracht
GelegenhedenBlok KOBA-WO, Blok KOBA-WO

Final assessment (open book computer ass
Weging90
ToetsvormDigitale toetsing
GelegenhedenBlok KOBA-WO, Blok KOBA-WO