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.

This course starts with a broad conceptual and historical perspective on technological and scientific innovation, and then focuses on concepts, theories, and methods for policy analysis as well as their application to policy questions in a variety of issue areas.

Comprehensive introduction to survey methods for travel behaviour with advanced discrete choice models. Enabling the student to understand and apply the various measurement approaches and models of modelling travel behaviour. Behavioural model and measurement; hypothetical markets, discrete choice model, parameter estimation, pattern of travel behaviour, market segments.

Introduction to general scientific working methods and skills in the core fields of geomatics. It includes a literature study, a review of one of the articles, a presentation and a report about the literature study.

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.

This laboratory is a supplement to the lectures of the associated module. Using a small scale example the students implement a four-stage travel demand model and test different policy scenarios.

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

Comprehensive introduction to survey and stated preference methods in transport planning and modeling of travel behavior, using advanced discrete choice models.

No description available.

This course will explore the issues and constraints of transport policy through the joint readings of a set of relevant papers.The class will meet every three weeks to discuss the texts.

Course provides a basic understanding of transportation system simulation methods, including transport demand, service offer planning, modelling of transport facilities, facility dimensioning, facility performance and simulation quality control. Recognizes the applicability and borders of current simulation tools.

Overview over the interactions between land use and transport and the tools in order to use this understanding in spatial planning.

No description available.

The course provides the urban designer with the basic traffic engineering tools for urban planning. Lectures and laboratories introduce impact analysis and the design of the road space and public transport facilities.

-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 lecture course discusses the basic concepts, approaches and methods of transport planning in both their theoretical and practical contexts.