LFU:online

Prerequisites for registration: none

Learning Outcome: Acquisition of overview knowledge in the field of statistics, ability to analyse, discuss and solve simple statistical problems, knowledge of suitable statistical software.

Prerequisites for registration: successful completion of compulsory module 13

Learning Outcome: Students are able to analyse in-depth issues of international management and derive theory-based solution proposals. They can present and discuss specialised scientific literature in the respective functional subject areas and solve and critically evaluate complex case studies. Students can establish connections between the different functions, apply this knowledge to different business management issues and explain them.

Prerequisites for registration: The prerequisite specified by the respective curricula must be met.

Learning Outcome: Students have additional competences and skills. They can recognise the connections to their own expert knowledge.

Prerequisites for registration: successful completion of the compulsory modules Introduction to Management and Introduction to Economics

Learning Outcome: Acquisition of overview knowledge in the field of business administration, ability to analyse, discuss and solve simple problems in business management.

Prerequisites for registration: none

Learning Outcome: Acquisition of overview knowledge in the field of statistics, ability to analyse, discuss and solve simple statistical problems, knowledge of suitable statistical software.

Prerequisites for registration: successful completion of four compulsory modules from the core area of management acc. to § 5 par. 1

Learning Outcome: Acquisition of specialist knowledge and skills in selected topics of business management.

Prerequisites for registration: the registration requirements specified in the respective curriculum must be met

Learning Outcome: Acquisition of an overview knowledge in the field of sociology and/or political science.

Learning Outcome: Students gain an overview of statistics, acquire the competence to analyze, discuss,
and develop possible solutions to elementary statistical issues, and get to know suitable statistics software.

Prerequisites for registration: First Diploma Examination

Prerequisites for registration: none

Learning Outcome: Erwerb von Überblickswissen im Bereich der Betriebswirtschaftslehre, Fähigkeit zur Analyse, Diskussion und Lösung von einfachen betriebswirtschaftlichen Problemstellungen.

Prerequisites for registration: successful completion of compulsory module 15

Learning Outcome: The students are able to
¿ apply basic working techniques of theoretical chemistry to interdisciplinary problems from the various other fields of chemistry and to contrast the advantages and disadvantages of different methods for the given problem;
¿ know various theoretical-chemical software packages for describing quantum mechanics and classical mechanics and apply them professionally;
¿ calculate and interpret the structural and thermodynamic properties of small molecules in the gas phase using quantum mechanical methods;
¿ predict and evaluate conformational ensembles and statistical thermodynamic properties in the liquid phase using molecular dynamics simulations;
¿ understand the atomic structure of small molecules as well as biomolecular systems, visualise them professionally and interpret structural relationships;
¿ validate theoretically calculated results against experimental data and argue the reasons for any deviations;
¿ successfully present the results of their theoretical-chemical calculations to an expert audience;
¿ master the basics of text-based work on UNIX operating systems, including automation with scripting languages.

Prerequisites for registration: successful completion of compulsory module 9

Learning Outcome: The students are able to
¿ plan and control sample preparation and performance of instrumental analyses, including the use of liquid chromatography, gas chromatography, extraction methods, UV/VIS spectroscopy and atomic spectroscopy;
¿ apply different calibration techniques to analyse real samples;
¿ understand and explain the pH value and perform buffer calculations and preparation;
¿ assess and describe limit values and health hazards of air pollutants;
¿ perform sampling techniques and sample preparation for gas analysis, including sample enrichment;
¿ understand and describe different detection methods such as mass spectrometry, ion mobility spectrometry and ion-molecule reaction in the gas phase, including the application of gas sensors for flue gas analysis, respiratory gas analysis, food industry, workplace monitoring, toxic gases, explosives and metabolomics.

Prerequisites for registration: successful completion of compulsory module 10 and 12 (Analytical Chemistry B and C) 14. Compulsory Module: Organic Chemistry B h ECTSCredits

Learning Outcome: Students acquire basic skills in instrumental analysis. They are able to generate, to protocol and to
evaluate and interpret data. Students acquire interdisciplinary key competences for working in
teams and oral and written communication.

Prerequisites for registration: successful completion of compulsory modules 11, 18 and 22 (Physical Chemistry A, Theoretical Chemistry A and B)

Learning Outcome: Students command the fundamental working techniques of theoretical chemistry.

Prerequisites for registration: successful completion of compulsory modules 1 to 23 (Physics, Mathematics A, B; General Chemistry A, B; Analytical Chemistry A, B, C, D; Inorganic Chemistry A, B, C; Organic Chemistry A, B, C; Physical Chemistry A, B, C, D; Biochemistry A, B; Theoretical Chemistry A, B)

Learning Outcome: Students are capable of independently performing a practical-experimental study of a topic in
chemistry and can present and rationalize the results within a scientific lecture. Students gain
interdisciplinary key skills in oral and written communication, presentation techniques as well as
in time and project management.

Prerequisites for registration: none

Learning Outcome: Students are able to:
- analyse, evaluate and interpret advanced theoretical concepts and methods of quan-tum chemistry, including ab initio quantum chemistry, Hartree-Fock methods and post-Hartree-Fock methods,
- critically reflect on and evaluate theoretical approaches in chemistry, including den-sity functional theory, perturbation theory and energy hypersurfaces,
- recognise and evaluate complex simulation methods in chemistry, including molecu-lar dynamics simulations, quantum mechanical-molecular mechanical hybrid methods and free energy calculations,
- identify and analyse complex problems in the field of theoretical chemistry and de-velop independent solution strategies, including Monte Carlo simulations and other advanced computational methods,
- synthesise and evaluate biomolecular data and structures based on theoretical ap-proaches, including bioinformatics, sequence analysis and prediction of RNA/DNA structures,
- analyse and apply advanced methods for the prediction of biomolecular structures and dynamics, including the prediction of protein folding and protein structures as well as DNA, RNA and protein dynamics,
- independently plan and carry out advanced practical applications in the field of the-oretical chemistry, including the use of calculation methods from the master's pro-gramme,
- integrate both theoretical knowledge and practical skills in the field of theoretical chemistry and apply them in new, unpredictable contexts, including the integration of knowledge from the various courses of this module.

Prerequisites for registration: none

Learning Outcome: Students are able to:
- critically analyse and evaluate complex concepts of polarisation capability and many-body effects, including the basic theories, application of reactive force fields and periodic approaches in quantum mechanics,
- synthesise and interpret the principles and methods of density functional theory at an advanced level, including its applications, limitations and relevance in materials sci-ence,
- professionally handle numerical codes and computer applications to predict and cal-culate physico-chemical properties of materials, including selecting appropriate methods, analysing results and applying them in real-life scenarios,
- demonstrate and perfect practical skills in the use of software and numerical tools to determine material properties, including the ability to identify problems, optimise so-lutions and interpret data.

Prerequisites for registration: none

Learning Outcome: Students are able to apply computational chemical methods for modelling molecules and materials. They use classic forces and forces of quantum-mechanics for describing dynamic processes and for predicting thermodynamic properties. Based on examples of scientific practice, they apply MC and MD methods, advanced calculation methods of quantum mechanics as well as methods dealt with in the lectures. The students acquire theoretical and practical knowledge of the application of modern technologies in DNA, RNA and protein sequence analysis, the prediction of protein and nucleic acid struc-tures and the prediction of biomolecular dynamics.

Prerequisites for registration: none

Learning Outcome: Students gain the competence and practical experience for dealing with modern numerical methods for calculating material properties.

Prerequisites for registration: none

Learning Outcome: Students acquire basic knowledge and practical experience in dealing with modern numerical methods for calculating material properties.

Prerequisites for registration: none

Learning Outcome: Students acquire knowledge for using methods of quantum mechanics, modelling processes and simulation techniques for calculating the properties of materials of all kind and learn the most important approaches for producing quantitative structure/electronic structure-property/relationships as a basis for designing new chemical compounds or materials.

Prerequisites for registration: none

Learning Outcome: Having successfully completed this module, students are able to actively participate in the discussion of the current state of knowledge in the area of the dissertation topic and can critically reflect on and discuss issues with experts in the chosen special discipline of chemistry.

Prerequisites for registration: Positive completion of compulsory modules 4 and 8.

Learning Outcome: Students are able to apply autonomously basic concepts of statistics and of a programming language on meteorological data.

Prerequisites for registration: none

Learning Outcome: The students have an overview knowledge in the field of statistics and are able to analyse, discuss and solve simple statistical problems and data analyses from different subject areas using suitable statistical software.
Students can read and write programmes in any of the open source programming languages used in atmospheric science. They can install a programming environment with appropriate additional packages on their computer and thus solve scientific problems. Above all, they are able to independently expand and advance their programming skills.

Prerequisites for registration: none

Learning Outcome: After completing this module, students understand the architectural principles and organisational
forms of modern computers and are able to write simple Assembler programmes.

Prerequisites for registration: none

Learning Outcome: Die Absolventinnen und Absolventen können die Architekturprinzipien und Organisationsformen moderner Rechner verstehen und sind in der Lage, einfache Programme in Assembler zu erstellen.

Prerequisites for registration: none

Learning Outcome: After completing this module, students understand the architectural principles and organisa-tional forms of modern computers and are able to write simple Assembler programmes.

Prerequisites for registration: none

Learning Outcome: - The students know the most important application possibilities of scientific computing as well as its potential to provide interdisciplinary efficient answers to current questions in research, economy and society. They are aware of gender issues and gender relations in the natural and technical sciences.
- Students understand aspects of conventional computer architecture particularly relevant to scientific computing, as well as useful techniques for software development and management, which also guide forms of collaborative work. They are able to implement simple numerical algorithms - basic components of more complex simulations - and to analyse their properties.
- They can explain and apply the scientific principles and basic methods of mathematical modelling as a basis for simulation. They are able to analyse simple existing models, select and apply suitable ones from established procedures for their evaluation, and interpret the resulting data in a professional manner.

Prerequisites for registration: none

Learning Outcome: Students acquire the ability to classify and explain the development of political thinking in the course of the centuries. They know how to present different definitions of rule and describe different theories of state as well as different theories of democracy.

Prerequisites for registration: successful completion of compulsory module 2 and 3

Learning Outcome: Acquisition of an overview of the field of business management, ability to analyse, discuss and solve simple issues in business management

Prerequisites for registration: none

Learning Outcome: Mastery of the determination of the tensions and malformations of deformable solid bodies, especially of poles, following static and thermal pressures; these findings form the basis for proving the serviceability and load-bearing capacity of building constructions.

Prerequisites for registration: none

Learning Outcome: Acquisition of overview knowledge in the field of statistics, ability to analyse, discuss and solve simple statistical problems, knowledge of suitable statistical software.

Prerequisites for registration: successful completion of compulsory module 13

Learning Outcome: Students are able to analyse in-depth issues of international management and derive theory-based solution proposals. They can present and discuss specialised scientific literature in the respective functional subject areas and solve and critically evaluate complex case studies. Students can establish connections between the different functions, apply this knowledge to different business management issues and explain them.

Prerequisites for registration: The prerequisite specified by the respective curricula must be met.

Learning Outcome: Students have additional competences and skills. They can recognise the connections to their own expert knowledge.

Prerequisites for registration: successful completion of the compulsory modules Introduction to Management and Introduction to Economics

Learning Outcome: Acquisition of overview knowledge in the field of business administration, ability to analyse, discuss and solve simple problems in business management.

Prerequisites for registration: none

Learning Outcome: Acquisition of overview knowledge in the field of statistics, ability to analyse, discuss and solve simple statistical problems, knowledge of suitable statistical software.

Prerequisites for registration: successful completion of four compulsory modules from the core area of management acc. to § 5 par. 1

Learning Outcome: Acquisition of specialist knowledge and skills in selected topics of business management¿

Prerequisites for registration: The registration requirements specified in the respective curriculum must be met

Learning Outcome: Acquisition of an overview knowledge in the field of sociology and/or political science.

Prerequisites for registration: none

Learning Outcome: Advanced study of the content-related, methodological and reflexive competences required for the independent translation of technical and specialist texts, using modern translation technologies and familiarising with the specialist terminology

Prerequisites for registration: none

Learning Outcome: Advanced study of the content-related, methodological and reflexive competences required for the independent translation of technical and specialist texts, using modern translation technologies and familiarising with the specialist terminology

Prerequisites for registration: none

Learning Outcome: Advanced study of the content-related, methodological and reflexive competences required for the independent translation of technical and specialist texts, using modern translation technologies and familiarising with the specialist terminology

Prerequisites for registration: successful completion of compulsory modules 12 and 13

Learning Outcome: Acquisition of basic knowledge in the field of business administration; ability to analyse,
discuss and solve simple business issues.

Prerequisites for registration: none

Learning Outcome: Having passed this module, students have an advanced knowledge in the field of accounting and basic knowledge of the different valuation methods and standards within business valuation and if compared to balancing of accounts.

Prerequisites for registration: none

Learning Outcome: Erwerb von Überblickswissen im Bereich der Betriebswirtschaftslehre, Fähigkeit zur Analyse, Diskussion und Lösung von einfachen betriebswirtschaftlichen Problemstellungen

Prerequisites for registration: none

Learning Outcome: Die Absolventinnen und Absolventen können die Architekturprinzipien und Organisationsformen moderner Rechner verstehen und sind in der Lage, einfache Programme in Assembler zu erstellen.

Prerequisites for registration: none

Learning Outcome: After completing this module, students understand the architectural principles and organisational forms of modern computers and are able to write simple Assembler programmes.

Prerequisites for registration: none

Learning Outcome: - The students know the most important application possibilities of scientific computing as well as its potential to provide interdisciplinary efficient answers to current questions in research, economy and society. They are aware of gender issues and gender relations in the natural and technical sciences.
- Students understand aspects of conventional computer architecture particularly relevant to scientific computing, as well as useful techniques for software development and management, which also guide forms of collaborative work. They are able to implement simple numerical algorithms - basic components of more complex simulations - and to analyse their properties.
- They can explain and apply the scientific principles and basic methods of mathematical modelling as a basis for simulation. They are able to analyse simple existing models, select and apply suitable ones from established procedures for their evaluation, and interpret the resulting data in a professional manner.