Teaching

Applied High-Throughput Analysis

6 ECTS credits
From raw measurements to biological interpretation: quality control, normalisation and statistical analysis of high-throughput omics data. Practical work covers sequencing, microarrays and quantitative PCR.

Tim De Meyer · Louis Coussement · Menno Van Damme · Elise Beeuwsaert

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Applied Statistics

5 ECTS credits
Statistical inference, hypothesis testing and linear models for biological research. Students analyse data in R and learn to interpret and communicate their findings.

Louis Coussement · Joris Meys

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Bioinformatics

5 ECTS credits
An introduction to biological databases, sequence alignment and assembly, protein modelling and phylogenetics, connecting computational methods to biotechnology applications.

Wim Van Criekinge · Elise Beeuwsaert · Menno Van Damme

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Biological Databases

5 ECTS credits
Designing and querying databases for biological data. Topics include relational data models, SQL and the integration of heterogeneous biological datasets.

Wim Van Criekinge · Gerben Menschaert

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Design Project

9 ECTS credits
An interdisciplinary bioinformatics project: translate a biological research question into a computational approach, work as a team and communicate the results.

Tim De Meyer

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Omics

6 ECTS credits
Processing and interpreting molecular datasets, with a focus on transcriptomics and microbial profiling. Lectures and practical sessions connect sequencing technologies, data analysis and responsible research.

Tim De Meyer · Louis Coussement · Menno Van Damme

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Statistical Topics in Food Technology

4 ECTS credits
Reading, discussing and reporting statistical analyses in food technology research. Students explore advanced methods and experimental design through scientific papers and peer teaching.

Tim De Meyer · Joris Meys

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