4 ECTS credits
105 h study time
Offer 1 with catalog number 4021572ENR for all students in the 2nd semester at a (E) Master - advanced level.
Programming will be performed in Python.
None
The student:
- The student is capable of applying linear algebra in variance, covariance and correlation structures and understand geometrical equivalents of basic multivariate reasoning
- The student is capable of representing real data from large datasets in a comprehensible manner
- The student is capable of carrying out inference about multivariate means
- The student understands and applies basic ordination, discrimination and classification methodologies: Principal Components Analysis, Discriminant Analysis and Cluster Analysis
- The student makes use of existing software packages in R to analyse data.
The final grade is composed based on the following categories:
Other Exam determines 100% of the final mark.
Within the Other Exam category, the following assignments need to be completed:
Students will be evaluated on the basis of a project consisting in analysing a 'big' data set with methods seen in the course (50% of the final grade for the written report and 50% for an individual oral exam consisting in presenting the project as a basis to ask questions about the course content).
This offer is part of the following study plans:
Master of Bioengineering Sciences: Cell and Gene Biotechnology: Medical Biotechnology (only offered in Dutch)
Master of Bioengineering Sciences: Cell and Gene Biotechnology: Molecular Biotechnology (only offered in Dutch)
Master of Bioengineering Sciences: Cell and Gene Biotechnology: Agrobiotechnology (only offered in Dutch)
Master of Bioengineering Sciences: Chemistry and Bioprocess Technology: Food Biotechnology (only offered in Dutch)
Master of Bioengineering Sciences: Chemistry and Bioprocess Technology: Chemical Biotechnology (only offered in Dutch)
Master of Bioengineering Sciences: Chemistry and Bioprocess Technology: Biochemical Biotechnology (only offered in Dutch)
Master of Biology: Molecular and Cellular Life sciences