Statistics

20 hours, no prerequisites

An applied introduction to statistical concepts and methods commonly used in quantitative biosciences.

Date: 23–24.02.26 & 02–03.03.26
Time: 9:00–15:00
Location: Room K00.020, Biosys Building

Topics include:

• Hands-on work with Matlab

• Descriptive statistics (mean, variance, covariance)
• Probability distributions (binomial, normal, Poisson)
• Entropy and information theory
• Maximum likelihood estimation
• Parametric hypothesis testing (χ², Z-test, t-test, ANOVA)
• Non-parametric methods (rank tests, Kolmogorov–Smirnov test)
• RNA-seq analysis using DESeq
• Multivariate data visualization using PCA