This course will present methods of scientific machine and deep learning (ML / DL) for applications in design and construction. After providing proper background on ML and the scientific ML (SciML) track, several applications of SciML together with their computational implementation during the design and construction process of the built environment are examined.

Current research topics are presented and discussed based on scientific literature. The students prepare a presentation with the support of an expert. Subsequently, the topics are discussed jointly by students and experts in student-moderated discussion rounds. Presentation and moderation techniques are introduced and trained in the seminar, supported by instructions for constructive feedback.

This course covers common numerical algorithms and statistical methods used by chemical engineers to solve typical problems arising in industrial and research practice.

The ability to critically evaluate original (scientific) literature and to summarise the information in a succinct manner is an important skill for any student. This course aims to practice this ability, requiring each student to write a term paper of scientific quality on a topic of relevance for research in the areas of biogeochemistry and pollutant dynamics.

This class is the 2nd part of a series and participation is conditional on the successful completion of "Term Paper 1: Writing". The results from the term paper written during the previous term are presented to the other students and advisors and discussed with the audience.

Introduction to the fundamentals of technical thermodynamics.

Vitamins are essential organic compounds that cannot be synthesized by an organism and hence, thy have to be acquired from the diet. This lecture will give an overview about the application of vitamins in health and disease.