Statistical Learning for Engineers

Multiple linear regression, logistic regression, regularisation, cross-validation, tree based methods (bagging random forests, boosting), and short introduction to deep learning.

85% Final exam (retake) and 15% homework assignments.
Depending on the number of students the final exam (retake) can be either written or oral.

In case of an insufficient final result, repair options may exist in accordance with Article 2 Examination requirements, Clause 4, of the Implementation Regulations 2023-2024.

Disclaimer: information may change depending on unforeseen circumstances or measures (see: TER Art 29, sub 4)