Modulkatalog Methodische Module

• Dunger, W., Fiedler, H.J. 1997: Methoden der Bodenbiologie. 2. Aufl.. Jena;
• Davies, A., R.D. Baker, S.A. Grant, and A.S. Laidlaw (ed.) 1993: Sward measurement handbook. 2nd ed. Br. Grassl. Soc., Reading, England;
• Backhaus, K. et al.2003: Multivariate Analysemethoden. 10. Aufl.. Berlin;
• Lozán, J., Kausch, H.: Angewandte Statistik für Naturwissenschaftler

• Introduction to common mathematical concepts used in ecology;
• Basic steps of modelling (conceptual modelling, translation of ecological knowledge into mathematical concepts, implementation, verfication);
• What is simulation, specific methods(nonlinear parameter estimation, sensitvity analysis);
• Modelling and simulation packages;
• Modelling of important ecological process: Transport, nutrient cycles, dynamics of soilwater, growth, population dynamics

GIS:

• Principles of geodetics;
• georeferencing;
• data types, -import and -management;
• methods of data manipulation and analysis (aggregation, (re)classification, interpolation, buffers, overlays, network analysis, image analysis;
• remote sensing techniques;
• practical exercises with GIS and GPS, explained under consideration of applications in (organic) farm management and precision farming.

Ecological Modelling:

• Basic understanding of the mathematics used in ecological modelling (e.g. ordinary and partial differential equations, state and time events, including numerical aspects);
• Basic experiences in modelling and simulation;
• Knowledge about the possibilities and limits of modelling and simulation in ecology.

GIS:

• Understanding of geodetic fundamentals, basic GIS-methods and related applications like GPS, remote sensing and precision farming;
• evaluation of GIS-applications in (organic) farm management.

• Chang, K.T. 2002: Introduction to geographic information systems. McGraw-Hill. Boston
• Schuurman, N. 2004: GIS - A short introduction. Blackwell. Lecture notes, online tutorials

• Tasks and management of marketing research;
• methods of data collection;
• methods of data analysis, methods of prognoses.

Students

1. are able to outline the steps in the marketing research process;
2. are able to develop a marketing research design;
3. know all relevant methods for data collection, analyses and prognoses with their specific advantages and problems;
4. acquire personal skills for teamwork, oral and written presentations.

• Aaker, D.A., Kumar, V., Day, G.S. 2007: Marketing research, 9th ed., New York;
• Burns,A.C., Bush, R.F. 2006: Marketing Research. 5th ed., New Jersey;
• Bryman, A. 2004: Social research methods, 2nd ed., Oxford; 
• Shao, A.T. and Zhou, K.Z. 2007: Marketing research 3rd  ed., Cincinatti.

• Berekoven, L., Eckert, W. und P. Ellenrieder 2001: Marktforschung. 9. Auflage. Wiesbaden;
• Hammann, P. und B. Erichson 2000: Marktforschung. 4. Auflage. Stuttgart;
• Shao, A.T. 2002: Marketing Research. 2nd edition. Cincinnati/USA