4 ECTS credits
120 h study time

Offer 1 with catalog number 4023442ENR for all students in the 1st semester at a (E) Master - advanced level.

Semester
1st semester
Enrollment based on exam contract
Impossible
Grading method
Grading (scale from 0 to 20)
Can retake in second session
Yes
Enrollment Requirements
Om een inschrijving te kunnen nemen voor ‘Optimalisatietechnieken & data-analyse’ moet men : Geslaagd zijn voor alle opleidingsonderdelen van het eerste jaar en het tweede jaar van de bachelor FW EN geslaagd of ingeschreven zijn voor alle opleidingsonderdelen van het derde jaar van de bachelor FW EN geslaagd of ingeschreven zijn voor Toepassingen van instrumentele analyse.
Taught in
Dutch
Faculty
Faculteit Geneeskunde en Farmacie
Department
Pharmaceutical and Pharmacological Sciences
Educational team
Yvan Vander Heyden (course titular)
Activities and contact hours
20 contact hours Lecture
20 contact hours Seminar, Exercises or Practicals
Course Content

The course starts from the knowledge acquired in the course on Biostatistics in the 2nd year of the Bachelor's degree programme in the Pharmaceutical Sciences. It contains, for instance, the description of univariate and multivariate data handling methods, analysis of variance (ANOVA), regression analysis, description of different types of data sets, principal component analysis (PCA), cluster analysis, optimisation techniques among which the use of experimental design

Course material
Digital course material (Required) : PowerPoint presentatie
Additional info

Digital course material (Required) : Copies of the slides (powerpoint presentations) available on Canvas
Digital course material (Required) : Cursusnotes available on Canvas

The course material consists of copies of the course slides (powerpoint presentation) and for certain parts of course notes. All are made available on the learning platform.

Learning Outcomes

General competencies

GENERAL COMPETENCIES

Knowing the principles of frequently used techniques for method optimisation and data analysis. Apply these for simple case studies.
Understand the data analyses applied and described in scientific publications
To have an overview concerning possible analysis possibilities for a given data set, both uni- and multivariate ones.

Grading

The final grade is composed based on the following categories:
Written Exam determines 100% of the final mark.

Within the Written Exam category, the following assignments need to be completed:

  • Schriftelijk open-boek examen with a relative weight of 100 which comprises 100% of the final mark.

    Note: Binnen de categorie Examen Schriftelijk dient men volgende opdrachten af te werken:

    Schriftelijk open-boek examen met een wegingsfactor 1 en aldus 100% van het totale eindcijfer.

    Toelichting: Schriftelijk open-boek examen

Additional info regarding evaluation

Written open-book exam. Notice: e-books and other electronic devices are not allowed.

Attendance to the exercise sessions is obligatory. Absence will lead to the prohibition to participate to the exam. 

Allowed unsatisfactory mark
The supplementary Teaching and Examination Regulations of your faculty stipulate whether an allowed unsatisfactory mark for this programme unit is permitted.

Academic context

This offer is part of the following study plans:
Master of Drug Development: AR without officinastage (only offered in Dutch)