Compulsory Elective Modules

Module B18: Instrumental Analysis and Physical Chemistry

The module gives an overview of the most important modern instrumental analytical techniques with their individual theoretical and technical background. The individual contents are: introduction to instrumental analysis, performance characteristics, sampling, chromatography, spectroscopic methods, thermodynamics, physical transformation of substances and mixtures, electrochemistry as well as chemical kinetics.

Module B21: Ecosystem and landscape managenemt

The main contents of this module concern landuse and habitat management, data analysis in environmental sciences as well as terrestrial ecology. The objective is to give an introductory account of ecosystem and landscape management approaches. Beyond evaluation and decision-making, conservation, sustainable use and restoration of biodiversity require the ability to sample, analyse and interpret ecological field data. 

Module B22: Soil protection and management

This module introduces different land use and management options in forestry, agroforestry and agriculture with regard to their impact on relevant soil functions and production purposes in the context of crop production, energy transformation, climate change and biodiversity. Specific emphasis will be put to the development of basic skills for soil and plant analysis as an essential tool for environmental assessments. 

Module B23: Earth system analysis

The learning outcome will be the acquirement in the area of global changes as a consequence of the global climate change as well as health problems and/or ecosystem dam-ages as a consequence of pollution. Additionally, future changes/reversals of man-made activities in respect to both emissions of pollutants and land use, the physical and chemical mechanisms taking place in the Earth system will be discussed. 

Module B24: Ecosystems analysis

The objectives of this module are to enable students to get an overview on concepts and methodologies of environmental informatics, to use mathematical techniques for analysis of ecological processes and ecosystems, as well as to understand and to use static and dynamic data analysis techniques to identify ecological processes and interrelationships. Students will be informed on the scientific background and special IT techniques to handle environmental data and to solve problems of information management in an environmental context. 

Module B25: Environmental Biotechnologies

The module comprises lectures on Solid Waste Processing and Introduction to Waste Water Treatment. Objectives are to learn to analyse and to understand typical problems of waste treatment within the social, economical, ecological and technical framework. Furthermore, students will be made familiar with the scientific and engineering backgrounds of waste processing technologies and corresponding management principles by typical examples from all over the world. They are expected to be able to find appropriate solutions fitting to the local situations of their home countries. 

Module B27: Philosophy of ecological sciences

The module provides knowledge and orientation in a post-modern world, which requires a comprehensive overview of the philosophical background and the ethical relevance of ecological concepts and their applications. In contrast to standard philosophical approaches, emphasis is laid on the analysis of examples and cases studies taken from the field of biological sciences. 

Module B28: Philosophy of technology and nature

Philosophy of Nature is reflecting about the origin and development of our concept of nature. This concept was a complete another one in ancient times than in modern contemporary cultures. But the meaning of what we conceive as nature also differs considerably between different cultures. With respect to handle ecological and cultural problems a conscious reflection about nature seems to be required. This altogether may need some philosophical knowledge and methods. The class will provide some basics for this task. 

Module B29: Environmental social sciences

Understanding of complex social processes is of paramount importance for successful environmental action and management etc. The objective of this advanced module in Social Sciences is to provide deeper understanding in a range of selected fields all of which are relevant for ERM: environmental sociology, environmental communication, relation human society – natural environment, social relations. 

Module B30: Intercultural competence

The module gives an overview of concepts of culture, with special relevance for intercultural contacts its objective is to familiarize students with a theoretical model of intercultural interaction, to show cultural influences on different spheres of life, to acquaint students with communication strategies which will improve their performance in intercultural interaction situations, i.e. the capability to analyse intercultural situations, to detect cultural influences, to adapt own behaviour and thereby to avoid or solve misunderstandings. 

Module B32: Safety technology

The module provides an overview about the theory of heat explosion, fire protection, explosion prevention, reaction safety, theory of pressure relief, basics of experimental determination of safety data and pressure relief devices, experimental development of safety data used for the determination of storage and transport conditions according to national and international standards (EU, UN) , determination of pressure relief devices according to national and international standards base on experiment. 

This website uses cookies. There are two types of cookies: The first type supports the basic functionality of our website. The second allows us to improve our content for you by saving and analyzing pseudonymised user data. Since this second type is technically not required to run the website, you can withdraw your consent to those cookies at any time. For more information please visit our pages on data protection.


These cookies are needed for a smooth operation of our website.


For statistical reasons, we use the platform Matomo to analyse the user flow with the help of website users‘ pseudonymised data. This allows us to optimize website content.

Name Purpose Lifetime Type Provider
_pk_id Used to store a few details about the user such as the unique visitor ID. 13 months HTML Matomo
_pk_ref Used to store the attribution information, the referrer initially used to visit the website. 6 months HTML Matomo
_pk_ses Short lived cookie used to temporarily store data for the visit. 30 minutes HTML Matomo