The course Basics of RE&IS equips Master’s students with core skills in scientific writing. Central is the full writing cycle, supported by peer- and self-review. Students learn to critically evaluate literature, argue pros and cons, create simple visualizations, and present their work. Generative AI is examined for its potential and risks at each step.

Teaches the basic principles of public transport network and topology design, geometrical design, dimensioning and construction as well as the maintenance of rail infrastructures.

Current research in machine learning and data science within the research fields of the department. The goal is to learn about current research projects at our department, to strengthen our expertise and collaboration with respect to data-driven models and methods, to provide a platform where research challenges can be discussed, and also to practice scientific presentations.

This doctoral seminar organised by the D-BAUG platform on data science and machine learning aims at discussing recent research papers in the field of machine learning and analyzing the transferability/adaptability of the proposed approaches to applications in the field of civil and environmental engineering (if possible and applicable, also implementing the adapted algorithms).

The Interdisciplinary Project Activity (IPA) forms the key feature of the MSc RE&IS. Students work on an interdisciplinary task from the field of spatial development and infrastructure systems in a real-life application . The interdisciplinary cooperation and strong communication skills are crucial skills required in practice to communicate with and between relevant actors and other stakeholders.

The Interdisciplinary Project Activity (IPA) forms the key feature of the MSc RE&IS. Students work on an interdisciplinary task from the field of spatial development and infrastructure systems in a real application area. The focus of the IPA on interdisciplinary cooperation and strong communication skills are crucial expertise required in practice to communicate with and between relevant actors.

Interrelationships between networks, supply, and space; Demand and demand models; Evaluation of changes in infrastructure; traffic systems: rail infrastructure, passenger transportation; case study.

Basics and concepts of logistics and freight transport; offers, infrastructure and production processes of different transport systems; regulatory framework

This project-based course offers students an insight into a selected challenge from the field of Geospatial Engineering. In addition to methodological and subject-specific competencies—depending on the chosen project—the course also fosters a variety of transferable skill such as teamwork, critical and scientific thinking, as well as competencies in writing and presenting

This course aims at analyzing, designing, improving public transport systems, as part of the overall transport system.

Fundamentals of public and collective transport, in its different forms.Categorization of performance dimensions of public transport systems, and their implications to their design and operations.

-Introduction to the fundamentals of transportation-Developing an understanding of the interactions between land use and transportation-Introduction to the dynamics of transport systems: daily patterns and historical developments

-Introduction to the fundamentals of transportation-Developing an understanding of the interactions between land use and transportation-Introduction to the dynamics of transport systems: daily patterns and historical developments

The goal is to integrate the contents of the lectures of the block “Transportation” through a joint set of exercises which will allow the students to understand how the parts come together in the design of transport systems. The exercise will be based on a Swiss city. The exercises will involve onsite work.