Search result: Catalogue data in Autumn Semester 2022

Agricultural Sciences Master Information
Agricultural Economics and Policy
751-2903-00LEvaluation of Agricultural PoliciesW3 credits2GR. Huber, R. Finger, C. Schader
AbstractIn this course, students get an overview of agricultural policy evaluations and their societal and political relevance. They learn to understand and apply the principles of scientific based evaluations of agricultural policies.
ObjectiveThe course has four major learning objectives: 1) Students know the conceptual background of evaluations and can relate concepts in agricultural economics to the evaluation of policies. 2) They know the basics of how to design and implement a policy evaluation study. 3) Students can transfer their methodological knowledge from other agricultural economics courses to the context of agricultural policy evaluations (econometrics, modelling etc.). They make hands-on experiences of methodological challenges. 4) They can critically assess the science-policy interface of policy evaluations.
ContentThe course consists of two blocks: First, students will learn the basics of how to design, implement and interpret agricultural policy evaluations. In this block, the conceptual embedding, the design and methodological tools as well as case studies are presented. Secondly, the students make hands-on experience using econometric and modelling tools in the context of agricultural policy evaluations. They apply their theoretical and empirical knowledge to Swiss case studies.
Lecture notesHandouts and reading assignments
Subject-specific CompetenciesConcepts and Theoriesassessed
Techniques and Technologiesassessed
Method-specific CompetenciesAnalytical Competenciesassessed
Social CompetenciesCooperation and Teamworkassessed
Personal CompetenciesCritical Thinkingassessed
751-2205-00LManagement for Enterprises in the Agri-Food-Chain IIW2 credits2GM. Weber
AbstractAdvanced Management in the Agri-Food Chain:
Framework and models for management of organizations in the Agri-Food Chain in a complex environment
ObjectiveAfter the lecture the students ...
... know the characteristics and consequences of complexity in the organizational world,
... know and can apply selected comprehensive models for managing in complex situations,
... know possible practical applications and examples of the treated contents to organizations in the Agri-Food Chain and
... are able to deepen the relevant topics in an autonomous way.
ContentIn the lecture the following contents will be treated:
- State, reasons and effects of complexity in the organizational world.
- A basic framework for shaping and governing intelligent organizations.
- Selected contemporary models for managing in the complex organizational world.
- Transfer and adaption of the models to organizations in the Agri-Food Chain.
Lecture notesReader with selected contents.
Prerequisites / Notice- Vorlesung "Management für Unternehmen der Agrar- & Ernährungswirtschaft I" in D-USYS

Vorlesung wird in deutscher Sprache abgehalten
Subject-specific CompetenciesTechniques and Technologiesassessed
Method-specific CompetenciesAnalytical Competenciesassessed
Social CompetenciesCommunicationassessed
Cooperation and Teamworkassessed
Personal CompetenciesCritical Thinkingassessed
751-2103-00LSocioeconomics of Agriculture Information W2 credits2VS. Mann
AbstractThe main part of this lecture will examine constellations where hierarchies, markets or cooperation have been observed and described in the agricultural sector. On a more aggregated level, different agricultural systems will be evaluated in terms of main socioeconomic parameters like social capital or perceptions.
ObjectiveStudents should be able to describe the dynamics of hierarchies, markets and cooperation in an agricultural context.
ContentIntroduction to Sociology
Introduction to Socioeconomics
Agricultural Administration: Path dependencies and efficiency issues
Power in the Chain
The farming family
Occupational Choices
Consumption Choices
Locational Choices
Common Resource Management in Alpine Farming
Agricultural Cooperatives
Societal perceptions of agriculture
Perceptions of farming from within
Varieties of agricultural systems and policies
Lecture notesLink
Literaturesee script
Prerequisites / NoticeBasic economic knowledge is expected.
751-1573-00LDynamic Simulation in Agricultural and Regional EconomicsW2 credits2VB. Kopainsky
AbstractIn this class, students learn the basics of system dynamics and its application to agricultural and regional economic questions. In the second half of the class, students develop their own simulation model, with which they evaluate potential interventions for improving the economic as well as the ecological sustainability of food systems.
Objective- Students learn the basic theory and practice of dynamic simulation
- Students can develop, analyze and extend a dynamic simulation model and interpret its results.
- By applying the developed simulation model, students gain insights into food system issues. They also learn to recognize the benefits and pitfalls of dynamic simulation, both from a theoretical and an applied perspective.
Lecture notesslides (will be provided during the class)
Literaturearticles and papers (will be provided during the class)
751-0423-00LRisk Analysis and Risk Management in AgricultureW3 credits2GR. Finger
AbstractAgricultural production is exposed to various risks and risk management is indispensable. This course introduces modern concepts on farmers' decision making under risk and risk management. We present innovative insights, emprical example from European agriculture. You gain hands-on experience using R.
Objective-to develop a better understanding of decision making under uncertainty and risk;
- gain hands-on experience in risk analysis and management using R
-to gain experience in different approaches to analyze risky decisions;
-to develop an understanding for different sources of risk in agricultural production;
-to understand the crucial role of subjective perceptions and preferences for risk management decisions;
-to get an overview on risk management in the agricultural sector, with a particular focus on insurance solutions
Content- Quantification and measurement of risk
- Risk preferences, Expected Utility Theory, Cumulative Prospect Theory
- Production and input use decisions under risk
- Portfolio Theory and Farm Diversification
- Forwards, Futures, Crop Insurance
- Weather Index Insurance and Satellite Imagery
- Empirical Applications using R
Lecture notesHandouts will be distributed in the lecture and available on the moodle.
Prerequisites / Noticeknowledge of basic concepts of probability theory and microeconomics
363-0305-00LEmpirical Methods in ManagementW3 credits2GS. Tillmanns
AbstractIn this class, students learn how to understand and conduct empirical research. It will enable them to manage a business based on evident-based decision-making. The class includes group assignments, where students will cover small parts of the lecture content in self-created videos.
ObjectiveThe general objective of the course is to enable students to understand the basic principles of empirical studies. After successfully passing the class, they will be able to formulate research questions, design empirical studies, and analyze data by using basic statistical approaches.
ContentData has become an important resource in today’s business environment, which can be used to make better management decisions. However, evidence-based decision-making comes along with challenges and requires a basic understand of statistical approaches. Therefore, this class introduces problems and key concepts of empirical research, which might be qualitative or quantitative in its nature. Concerning qualitative research, students learn how to conduct and evaluate interviews. In the area of quantitative research, they learn how to apply measurement and scaling methods and conduct experiments. In addition, basic statistical analyses like a variance analysis and how to conduct it in a standard statistical software package like SPSS or R are also part of the lecture. The lessons learned from the lecture will empower students to critically assess the quality and outcomes of studies published in the media and scientific journals, which might form a basis of their managerial decision-making. We recommend the lecture also to students without basic statistical skills, who plan to attend more advanced lectures in the field of artificial intelligence such as Marketing Analytics.
The lecture will be taught in presence. There will be individual assignments that students have to solve throughout the lecture. In addition to that, there will be some non-mandatory online exercises as an additional opportunity to prepare for the exam.
LiteratureLiterature and readings will be announced. For a basic understanding we recommend the Handbook of Good Research by Jürgen Brock and Florian von Wangenheim.
Prerequisites / NoticeThe course includes out-of-class assignments and projects to give students some hands-on experience in conducting empirical research in management. Projects will focus on one particular aspect of empirical research, like the formulation of a research question or the design of a study. Students will form groups and create a learning video regarding one specific topic. Assignments will be graded and need to be turned-in on time as they will be shown and discussed in class. Students will also have to evaluate the videos of other student groups.
Online class participation is encouraged and can greatly improve students' learning. In this spirit, students are expected to attend class regularly and come to class prepared.
851-0626-01LInternational Aid and Development Restricted registration - show details
Does not take place this semester.
Prerequisites: Basic knowledge of economics
W+2 credits2VI. Günther
AbstractThe course gives economic and empirical foundations for a sound understanding of the instruments, prospects and limitations of international development aid.
ObjectiveStudents have a theoretically and empirically sound understanding of the prospects and limitations of international development aid. Students are able to critically discuss the various aid instruments of bi-and multilateral donors and NGOs.
ContentIntroduction to the Determinants of Underdevelopment; History of Aid; Aid and Development: Theories and Empirics; Political Economy of Aid; Experience and Impact of Aid; New Instruments of Aid: e.g. Micro-Finance, Budget-Support; Fair-Trade.
LiteratureArticles and book abstracts will be uploaded to a course website.
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