Modules of study programme

An overview on the aims of qualifications, contents and courses of all modules from the
master programme Environmental Modelling is given here.

Module Introduction to Environmental Modelling

Semester

1st  semester

Module type

compulsory

Qualifikation aims

The students have basic knowledge of environmental modelling. They have a first glimpse of the involved working groups and their current research topics. They know key fields of environmental modelling from the perspective of various experts and methods they use. They have learned to deal with scientific issues independently and critically.

Courses

Lecture series 'Introduction to Environmental Modelling'

Praktical to 'Introduction to Environmental Modelling'

Content

(Examples)

In this lecture series, lecturers of the participating working groups, and if applicable visiting lecturers, give a lacture based on their field of research.
Students choose from one of the working groups, in which they will get deeper insight into the research topics of the selected group.
Under the guidance of lecturers from the working group, a scientific topic will be worked on independently to produce an assignment. 

Learning method

Lecture, practical

CP

6

Module Basic Skills

Semester

1st  semester

Module type

Individual compulsory

Qualification aims

The students have closed their knowledge gaps from their different bachelor degrees and are well prepared for the remaining courses of the study course Environmental Modelling. They have the Required basic knowledge in mathematical modelling and are able to use the computer including programming.

Courses

Java Programming Course
Introduction to Computer Science for Scientists
Applied Statistics in Biology and Environmental Sciences
Exploratory Data analysis
Biological Oceanography
Microbial Ecology
Introduction to Organic Geochemistry
Introduction to Inorganic Geochemistry
Introduction to Marine Chemistry
Geochemistry Tutorial
Environmental Statistics
Physical Oceanography
General Ecology
Hydrology
Introduction to Soil Science
Introduction to the Resources of Central Europe's Plant Population
Hydrodynamics
Basics of Mathematical Modelling
Measuring Techniques in Oceanography

Contents

(Examplespiele)

basics of programming and computer science, hypothesis + sampling + analytical method + interpretation, uni/bi/multivariate data, regression, correlation, discriminant/cluster analysis, analysis variables depending on space and/or time, Bernoulli-equation; abiotic conditions of marine environment, determination of microbial biomass, species composition, sedimentation and fate of organic/anorganic material, population ecology, ecosystems, water cycle, soils 

Learning method

Lecture, practical

CP

18

Profile Module: Environmental systems and Biodiversity

Semester

1st and 2nd semester

Module type

Optional compulsory

Qualification aims

The students have the required advanced knowledge about environmental systems and biodiversity to model various problems on their own.

Courses

Ecology of Plants in Landscapes
Material Balance of Plants in Landscapes
Biodiversity of Plants
Ecology of Animals in Landscapes
Specific Hydrogeology
Spezific Soil Science
Environmental Chemistry
Environmental Physics
Fundamentals of Water Conservation
Basic Ecological Processes
Interdisciplinary Analysis of Ecosystem Processes and Water and Nutrient Transport in Landscapes
„Scaling“: Physiological Ecology from Individual Organ to Ecosystem
Functional Consequences of Marine Biodiversity Change

Contents

(examples)

Habitat models, plant ecophysiology, physics of oceans and atmosphere, limnological principles, eutrophication, water acidification, abiotic conditions of marine environment, pelagic and bentic communities, carbon and nitrogen cycle

Learning method

Lecture, practical, seminar

CP

12

Profile Module: Energy Systems

Semester

1st   and 2nd semester

Module type

Optional compulsory

Qualification aims

The students have the required advanced knowledge about energy systems to model various problems on their own.

Courses

Computational Fluid Dynamics I + II
Energy Meteorology I (Solar)
Energy Meteorology II (Wind)
Wind Energy
Wind Energy II
Solar Energy
Current Research Topics in Wind Energy Meteorology

Contents

(Examples)

Navier-Stokes-Equations, turbulent flow, incompressible & compressible flow; processes in the atmosphere, Physical modeling of atmospheric radiative transfer, Solar spectral irradiance, Solar radiation measurements; Dynamics of Horizontal Flow, Atmospheric Flow Modeling; aerodynamic aspects of wind energy conversion, design of wind turbines; Photovoltaics, Solar thermal collector

Learning method

Lecture, seminar

CP

12

Profile Module: Environmental and Resource Economics

Semester

1st and 2nd semester

Modultyp

Optional compulsory

Qualification aims

The students have the required  advanced knowledge about environmental and resource economics to model various problems on their own.

Courses

Environmental Economics
Resource Economics
Energy Economics
Economics of Climate Change
Environmental Policy

Contents

(Examples)

Environmental problems, instruments of environmental policy, ethical principles, welfare theory; renewable energies, non-renewable resources, coal/oil/gas/electricity market; instruments of climate policy, economic growth, poverty and international distribution, international development and climate policy 

Learning method

Lecture, practical, seminar

CP

12

Specification: Module Process- and System-Oriented Modelling

Semester

2nd and  3rd semester

Modul type

Optional compulsory

Qualification aim

The students possess a comprehensive overview over modern methods of process- and system-oriented modelling. They are able to develop models of different complexity for various environmental problems and to implement them on the computer on their own. Besides simulation methods, they are capable of using sophisticated tools to analyse the models.  They are able to get quickly into new scientific questions in environmental science and to propose solutions upon the basis of models. They have learned to think in an interdisciplinary way and to put environmental systems into the context of earth system science as a whole.

Courses

Models in Populations Dynamics
Models of Ecosystems
Theory of Dynamic Systems
Critical Conditions of System Earth
Theoretical Oceanography
Climate Dynamics
Shelf Sea and Coastal Oceanography
Climate models: Theory and Practice
Specific Methods in Prozess- and System-orientierten Modelling
Theory of Ecological Communities
Fluid Dynamics I + II
Complex Systems and Modelling
Seminar

Contents

(Beispiele)

prey-predator interactions, competition, food webs, linking  of lung biological and physical processes, evolutionary game theory, introduction to bifurcations / chaos theory; hydrody­namic equations, perturbation theory, solar radiation balance, interaction atmosphere ocean, circulation in shelf sea and coastal area, complex climate models, models of biodiversity, rank-abundance curve, competition models, diversity-stability debate, Navier-Stokes equation, Reynolds-equation, turbulence models.

Learning method

Lecture, practical, seminar

CP

18

Specification: Module Statistical and Stochastic Modelling

Semester

2nd  and 3rd semester

Module type

Optional compulsory

Qualification aims

Students are able to evaluate environmental data using descriptive processes and statistics. In addition to theoretical comprehension of methods of analysis, they have practical experience with algorithmic methods of analysing statistics and numeric simulation of stochastic environmental systems. Hereby they learn the use of the free statistic software R. Students are able to plan the collection of environmental data, statistically evaluate it, and apply to stochastic models for the purpose of forecasting.

Courses

Statistical Ecology
Time Series AnalysisZeitreihenanalyse
Stochastic Processes
Multivariate Statistics
Introduction to the Statistical Analysis of Environmental Data
Modelling Spatial Data
Analysis of Vegetation Ecological Data
Specific Methods of Statistical and Stochastic Modelling
Complex Systems and Modelling Seminar

Contents

(examples)

probability theory, stochastic processes, estimation of process descriptors, regression analysis, discriminant analysis, principle component analysis, cluster methods, variable selection, model validation; methods of the exploratory statistics and statistical tests related to ecological data: study design, exploratory data analysis, distribution tests, data transformation, Chi²test, Anova, Kruskal-Wallis test, t-test and U-test, multiple comparisons, post hoc tests, habitat modelling, geostatistics, Software R

Learning method

Lecture, practical, seminar

CP

18

Specification: Module Modelling Large Systems

Semester

2nd and 3rd semester

Module type

Optional compulsory

Qualification aimse

The  Students possess the capabilties to work in a team on the development of large software systems, to develop algorithms and implement them using their knowledge of software engineering and finally to use these software systems to analyse large network models for energy networks and environmental studies. They know how to use environmental information systems as well as environmental management systems.
Students can comprehend contemporary methods of analysis and simulation methods of modern environmental research, and can understand and classify even the newest approaches through self-study of current literature.

Courses

Software Engineering
Ecological System Modelling and Simulation
Environmental Information Systems
Environmental Management Information Systems
Computer-Oriented Physics
Shortcut to the Physics of Complex Networks
Decision under Risk and Uncertainty
Computational Economics

Contents

(Examples)

Software development, software design, interfaces, software specification, quality assurance; data structures, process of data mining, process of decision support; sustainability paradigm, Environmental Management Information Systems, numerical methods of theoretical physics; process of computer simulations; complex networks

Learning method

Lecture, Practical

CP

18

Specification Module: Practical Seminar on  Modelling Studies

Semester

3rd semester

Module type

compulsory

Qualification aims

Students can independently conduct a comprehensive research project under guidance. They can understand current scientific literature and incorporate it into their work. They can prepare, carry out, present in written form and publicly defend a scientific project.

Courses

Interdisciplinary research project, generally conducted by a student, preferably guided by two lecturers from different areas of study at the location of practical training and also meet regularly, must be completed in the major area of study.

Contents

(Examples)

The research project must pertain to the major area of study. Contents vary and relate to current research questions which are carried out interdisciplinarily by work groups participating in this course of study. Students participate in workgroup seminars, where they present the results and conclusions of their project. This seminar serves the purpose of discussing all research projects from a cohort, so that students receive an interdisciplinary perspective in all of the different topics being worked on.

Learning method

Lecture, practical, seminar

CP

6

Module Supplementary Area

Semester

2nd and 3rd  semester

Module type

Compulsory

Qualifikation aims

see above

Courses

The students can choose between the following modules for expanding their knowledge in a field which is not already part of their specification:
- Process- and System-Oriented Modelling
- Statistical and Stochastic Modelling
- Modelling Large Systems

Contents

(examples)

see above

Learning method

Lecture, practical, seminar

CP

18

Module Internship / Research Project

Semester

3rd  semester

Module type

Compulsory

Qualification aims

Students can independently conduct an interdisciplinary research project under guidance. They can understand current scientific literature and incorporate it into their work. They can prepare, carry out, present in written form and openly defend a scientific project.

Courses

Interdisciplinary research project, usually done by one student, preferably supervised by two lecturers from different disciplinary areas with regular discussions at the internship location. 

Contents
(examples)

 

Contenst vary and relate to current research questions which are carried out interdiscipinarily by work groups participating in this course of study, or developed in the context of application at another institution outside of the University of Oldenburg. One of the lecturers may also be located outside of the university. Students participate in the seminar on two occasions, firstly presenting the aims and secondly the results and conclusions of their project. This seminar serves the purpose of discussing all research projects from a cohort, so that students receive an interdisciplinary perspective in all of the different topics being worked on.

Learning Method

Practical, seminar

CP

12

Final Module: Master Dissertation

Semester

4th  semester

Module type

Compulsory

Qualification aims

Students can independently conduct a comprehensive research project under guidance. They can understand current scientific literature and incorporate it into their work. They can prepare, carry out, present in written form and openly defend a scientific project.

Courses

 -

Contents
(examples)

Contents vary and relate to current research questions which are addressed at a high scientific level.

Learning method

Master thesis, seminar

CP

30