Search result: Catalogue data in Spring Semester 2019

Management, Technology and Economics Master Information
Recommended Elective Courses
NumberTitleTypeECTSHoursLecturers
363-0404-00LIndustry and Competitive Analysis Restricted registration - show details
Does not take place this semester.
Due to didactic reasons originating from the group-work based approach, the number of participants is limited to 30. First come first served by order of enrollment in myStudies.

Experience in statistical analysis with tools such as SPSS or equivalents is an advantage.
W3 credits2G
AbstractIndustry and Competitive Analysis (ICA) is a part of any strategy development. It contains a very practical set of methods to quickly obtain a good grasp of an industry. The purpose of ICA is to understand factors that impact on the financial performance of the industry, and as well the financial performance of firms within the industry.
ObjectiveStudents develop an understanding of how the structure of industries impact on firm and industry-level performance.
Students get familiar with, and obtain practical skills in analyzing industries and firms within them.
Students develop in-depth knowledge of one industry.
ContentIndustry and competitive analysis (ICA) is a part of any strategy development in firms and other organizations. It contains a very practical set of methods to quickly obtain a good grasp of an industry, be it pharmaceuticals, information and communication technology, aluminum, or even the beer industry. The purpose of ICA is to understand factors that impact on the performance of the industry, and as well the performance of firms within the industry. Firms in an industry can be categorized in so called “strategic groups” based on the strategies they are pursuing. Each strategic group is associated with a certain level of performance, and the firms' “membership” in such groups can be used to predict their moves within the industry. Moreover, managers use ICA to allocate resources, reach strategic goals such as market share or profitability, and help their firms improve their position within the industry.
LiteratureSession 1: Introduction to competitive strategy
Chapter 2 of Porter (2004)
Porter, M.E. 1996. What is strategy. Harvard Business Review. 74 (6): 61-78.
Reeves, M., Love, C., & Tillmanns, P. (2012). Your strategy needs a strategy. Harvard Business Review, 90(9), 76-83.

Session 2: Understanding industry analysis
Chapter 1 & 3 of Porter (2004)
Porter, M.E. 2008. The five competitive forces that shape strategy. Harvard Business Review. 86 (1): 78-93.

Session 3: Understanding strategic groups and firm membership
Chapter 7 of Porter (2004)
Short, J. C., David J. K., Timothy B. P., and Tomas M. H. 2007. Firm, strategic group, and industry influences on performance. Strategic Management Journal, 28: 147-167.
Harrigan, K. R. (1985). An application of clustering for strategic group analysis. Strategic Management Journal, 6(1), 55-73.

Session 4: Strategic position of the firm
Chapter 15 of Porter (2004)
Coyne, K. P., & Horn, J. (2009). Predicting your competitor's reaction. Harvard Business Review, 87(4), 90-97.
McNamara, G., Deephouse, D. L., & Luce, R. A. (2003). Competitive positioning within and across a strategic group structure: the performance of core, secondary, and solitary firms. Strategic Management Journal, 24(2), 161-181.

Session 5: Global industry and firm strategy
Chapter 13 of Porter (2004)
Makhija, M. V., Kim, K., & Williamson, S. D. (1997). Measuring globalization of industries using a national industry approach: Empirical evidence across five countries and over time. Journal of international business studies, 679-710.
Spencer, J. W. (2003). Firms' knowledge-sharing strategies in the global innovation system: empirical evidence from the flat panel display industry. Strategic Management Journal, 24(3), 217-233.

Session 6: ICA and entrepreneurial opportunities
Hitt, M. A., Ireland, R. D., Sirmon, D. G., & Trahms, C. A. (2011). Strategic entrepreneurship: creating value for individuals, organizations, and society. The Academy of Management Perspectives, 25(2), 57-75.
Alvarez, S. A., Barney, J. B., & Anderson, P. (2013). Forming and exploiting opportunities: The implications of discovery and creation processes for entrepreneurial and organizational research. Organization Science, 24(1), 301-317.
Prerequisites / NoticeDue to didactic reasons originating from the group-work based approach, the number of participants is limited to 30. First come first served by order of enrollment in myStudies. Exchange students may register by sending an e-mail to Christian Wedl (Link), should they face problems with registration at myStudies. Note that emails should be sent individually, no group registration is welcome. E-mails that are sent before the starting date of registration at myStudies will not be accepted.

- There is no exam in this course. The students are graded on an industry report, and a mandatory presentation of the industry analysis to an expert panel. This presentation takes place during the last session of the course.

- Knowledge of SPSS or similar statistical packages is an advantage.

- This is an interactive class and class participation is important. Students should judge if full commitment can be made to attending the lectures before registration.
363-0448-00LGlobal Operations StrategyW3 credits3GT. Netland
AbstractThis course provides students a theoretical fundament and practical skills for strategic configuration and coordination of global production networks and facility planning and design.
ObjectiveStudents will be able to analyze, plan, and design factory networks and single facilities.
1. Students can analyze strengths and weaknesses of a company’s global factory network.
2. Students can conduct a basic factory localization analysis and elaborate the risks involved and the limitations of the chosen method.
3. Students are familiar with key issues in managing global operations.
4. Students can analyze a global productivity improvement program.
5. Additional skills: Students acquire experience in teamwork, report writing and presentation.
ContentThis course deals with the configuration and coordination of global manufacturing operations.
Lecture notesSee Moodle
LiteratureSee Moodle
Prerequisites / NoticeRequirements: Preferably the course 363-0445-00L Production and Operations Management
363-0452-00LPurchasing and Supply Management
Does not take place this semester.
W3 credits2GS. Wagner
AbstractBased on up to date purchasing and supplier management theories and practices, the course familiarizes students with the design and implementation of purchasing strategies, processes, structures and systems, as well as the structure and management of supplier portfolios and buyer-supplier relationships.
ObjectiveStudents will acquire skills and tools which are valuable for designing and implementing purchasing and supplier strategies.
ContentThe value sourced from suppliers and the innovation stemming from the supply base has increased substantially in recent years. As a consequence, suppliers and the purchasing function have become critically important for firms in many manufacturing and service industries. Purchasing and supply management is on the agenda of top-management today. This course will familiarize students with modern purchasing and supplier management theory and practice. They will learn how to design and implement purchasing strategies, processes, structures and systems, and how to structure and manage supplier portfolios and buyer-supplier relationships to meet firms’ supply needs.
Lecture notesWill be available for download from the homepage of the Chair of Logistics Management (Link).
LiteratureThe following textbook is recommended:
Cousins, Paul/Lamming, Richard/Lawson, Benn/Squire, Brian (2008): Strategic supply management: Principles, theories and practice, Harlow, UK: Financial Times Prentice Hall (ISBN: 0273651005).

The following textbooks are supplementary:
van Weele, Arjan J. (2014): Purchasing and supply chain management: Analysis, strategy, planning and practice, 6th ed., Andover: Cengage Learning (ISBN: 9781408088463).
Benton, W.C. (2010): Purchasing and supply chain management, 2nd ed., New York: McGraw-Hill (ISBN: 0073525146).
Prerequisites / NoticeThe final course grade will be a weighted average of the following:

Written test: 70%
Case studies (during the semester): 30%
363-0514-00LEnergy Economics and Policy
It is recommended for students to have taken a course in introductory microeconomics. If not, they should be familiar with microeconomics as in, for example,"Microeconomics" by Mankiw & Taylor and the appendices 4 and 7 of the book "Microeconomics" by Pindyck & Rubinfeld.
W3 credits2GM. Filippini
AbstractAn introduction to principles of energy economics and applications using energy policies: demand analysis, economic analysis of energy investments and cost analysis, economics of fossil fuels, economics of electricity, economics of renewable energy, market and behavioral failures and energy policy, market-based and non-market based instruments and regulation of energy industries.
ObjectiveThe students will develop the understanding of economic principles and tools necessary to analyze energy issues and to formulate energy policy instruments. Emphasis will be put on empirical analysis of energy demand and supply, market failures, behavioral economics, energy policy instruments, investments in power plants and in energy efficiency technologies and the reform of the electric power sector.
ContentThe course provides an introduction to energy economics principles and policy applications. The core topics are
-Demand analysis
-Behavioral analysis of the energy sector
-Economic analysis of energy investments and cost analysis
-Economics of fossil fuels
-Economics of electricity
-Economics of renewable energies
-Market failures and energy policy
-Market oriented and non-market oriented instruments
-Regulation of energy industries
Prerequisites / NoticeIt is recommended for students to have taken a course in introductory microeconomics. If not, they should be familiar with microeconomics as in, for example, "Microeconomics" by Mankiw & Taylor and the appendices 4 and 7 of the book "Microeconomics" by Pindyck & Rubinfeld.
363-0543-00LAgent-Based Modelling of Social Systems Information W3 credits2V + 1UF. Schweitzer
AbstractAgent-based modeling is introduced as a bottom-up approach to understand the complex dynamics of social systems. The course is based on formal models of agents and their interactions. Computer simulations using Python allow the quantitative analysis of a wide range of social phenomena, e.g. cooperation and competition, opinion dynamics, spatial interactions and behaviour in social networks.
ObjectiveA successful participant of this course is able to
- understand the rationale of agent-based models of social systems
- understand the relation between rules implemented at the individual level and the emerging behavior at the global level
- learn to choose appropriate model classes to characterize different social systems
- grasp the influence of agent heterogeneity on the model output
- efficiently implement agent-based models using Python and visualize the output
ContentThis full-featured course on agent-based modeling (ABM) allows participants with no prior expertise to understand concepts, methods and tools of ABM, to apply them in their master or doctoral thesis. We focus on a formal description of agents and their interactions, to allow for a suitable implementation in computer simulations. Given certain rules for the agents, we are interested to model their collective dynamics on the systemic level.

Agent-based modeling is introduced as a bottom-up approach to understand the complex dynamics of social systems.
Agents represent the basic constituents of such systems. The are described by internal states or degrees of freedom (opinions, strategies, etc.), the ability to perceive and change their environment, and the ability to interact with other agents. Their individual (microscopic) actions and interactions with other agents, result in macroscopic (collective, system) dynamics with emergent properties, which we want to understand and to analyze.

The course is structured in three main parts. The first two parts introduce two main agent concepts - Boolean agents and Brownian agents, which differ in how the internal dynamics of agents is represented. Boolean agents are characterized by binary internal states, e.g. yes/no opinion, while Brownian agents can have a continuous spectrum of internal states, e.g. preferences and attitudes. The last part introduces models in which agents interact in physical space, e.g. migrate or move collectively.

Throughout the course, we will discuss a wide variety of application areas, such as:
- opinion dynamics and social influence,
- cooperation and competition,
- online social networks,
- systemic risk
- emotional influence and communication
- swarming behavior
- spatial competition

While the lectures focus on the theoretical foundations of agent-based modeling, weekly exercise classes provide practical skills. Using the Python programming language, the participants implement agent-based models in guided and in self-chosen projects, which they present and jointly discuss.
Lecture notesThe lecture slides will be available on the Moodle platform, for registered students only.
LiteratureSee handouts. Specific literature is provided for download, for registered students only.
Prerequisites / NoticeParticipants of the course should have some background in mathematics and an interest in formal modeling and in computer simulations, and should be motivated to learn about social systems from a quantitative perspective.

Prior knowledge of Python is not necessary.

Self-study tasks are provided as home work for small teams (2-4 members).
Weekly exercises (45 min) are used to discuss the solutions and guide the students.

The examination will account for 70% of the grade and will be conducted electronically. The "closed book" rule applies: no books, no summaries, no lecture materials. The exam questions and answers will be only in English. The use of a paper-based dictionary is permitted.
The group project to be handed in at the beginning of July will count 30% to the final grade.
363-0552-00LEconomic Growth and Resource UseW3 credits2GC. Karydas
AbstractThe lecture deals with the economics of natural resources and their effect on economic development.
ObjectiveStudents will be able to
• Discuss the factors, e.g. institutions, geography, resource availability, that have contributed to economic growth in different countries.
• Describe country-specific growth experiences applying economic modelling.
• Explain the role of non-renewable resources and climate change in sustainable development.
• Interpret the effects of existing policies on economic growth and development through relevant economic models.
ContentThe course provides fundamental knowledge on the economics of natural resources and their connection to economic growth and sustainable development. Students will be given a historical overview of the main issues surrounding natural resources and economic development; from the Malthusian stagnation of income per capita to the contemporary problem of climate change. Topics covered:

i) Fundamentals on the economics of natural resources
ii) Land and economic growth in the long-run
iii) Non-renewable resources and growth
iv) Resource curse and Dutch disease
v) Climate change and economic growth

There will be 3 exercise sessions accounting for 25% of the final grade; the rest 75% will be determined by a written exam.
Lecture notesLecture Notes of the course will be sent by email to officially subscribed students.
LiteratureThe main reference of the course is the set of lecture notes; students will also be encouraged to read some influential academic articles dealing with the issues under study.
Prerequisites / NoticeElementary knowledge of calculus (differentiation - integration) is considered as a prerequisite. Elementary knowledge of economic theory is a plus but not a prerequisite.
363-0558-00LIntroduction to Game Theory: Strategic and Cooperative Thinking
It is recommended to take 363-0503-00L Principles of Microeconomics first.
W3 credits2GO. Tejada Pinyol
AbstractNoncooperative and Cooperative Game Theory, concepts and applications
ObjectiveThe goal of the lecture is to learn how to think strategically or cooperatively and to apply the concepts
of game theory to economic, social, political and business situations.
ContentPart 1: Strategic Thinking (Noncooperative Game Theory)

Thinking in static and dynamic games with complete and incomplete information

Part 2: Cooperative Thinking (Cooperative Game Theory)

Thinking in repeated and cooperative games.
Lecture notesFor inquiries and questions regarding the course organization please send an email to Dr. Oriol Tejada (Link).
LiteratureDavis (1997): Game Theory: A Nontechnical Introduction. Courier Dover Publications
Dixit and Nalebuff (1991): Thinking Strategically. W.W. Norton & Company
Fudenberg and Tirole (1991): Game Theory. MIT Press
Gibbons (1992): Game Theory for applied economists. Princeton University Press
Mas-Collel et al. (1995): Microeconomic Theory. Oxford University Press
Myerson (1992): Game Theory: Analysis of Conflict. Havard University Press
Osborne (2003): An Introduction to Game Theory. Oxford University Press
Watson (2002): Strategy: An Introduction in Game Theory. W.W. Norton & Company
Prerequisites / NoticeThe lecture will be in English.
363-0564-00LEntrepreneurial RisksW3 credits2GD. Sornette
Abstract-General introduction to the different dimensions of risks with
emphasis on entrepreneurial, financial and social risks.

-Development of the concepts and tools to understand these risks,
control and master them.

-Decision making and risks; human cooperation and risks
ObjectiveWe live a in complex world with many nonlinear
negative and positive feedbacks. Entrepreneurship is one of
the leading human activity based on innovation to create
new wealth and new social developments. This course will
analyze the risks (upside and downside) associated with
entrepreneurship and more generally human activity
in the firms, in social networks and in society.
The goal is to present what we believe are the key concepts
and the quantitative tools to understand and manage risks.
An emphasis will be on large and extreme risks, known
to control many systems, and which require novel ways
of thinking and of managing. We will examine the questions
of (i) how much one can manage and control these risks,
(ii) how these actions may feedback positively or negatively
and (iii) how to foster human cooperation for the creation
of wealth and social well-being.

Depending on the number of students and of the interest, the exam
will consist in a project, one for each student or in small groups,
focused on the application of the concepts and tools developed in this
class to problems of practical use to the students in their varied fields.
The choice of the subjects will be jointly decided by the
students and the professor.
ContentThis content is not final and is subjected to change
and adaptation during the development of the course
in order to take into account feedbacks from the
students and participants to the course.

1- Risks in the firm and in entrepreneurship
-What is risk? The four levels.
-Conceptual and technical tools
-Introduction to three different concepts of probability
-Useful notions of probability theory
(Frequentist versus Bayesian approach,
the central limit theorem and its generalizations, extreme value theory)
-Where are the risks for firms? Downside and upside
-Diversification and market risks

2-The world of power law risks
-Stable laws
-power laws and beyond
-calculation tools
-scale invariance, fractal and multifractals
-mechanisms for power laws
-Examples in the corporate, financial and social worlds

3-Risks emerging from collective self-organization
-concept of bottom-up self-organization
-bifurcations, theory of catastrophes, phase transitions
-predictability
-the hierarchical approach to understanding self-organization

4-Measures of risks
-coherent and consistent measures of risks
-origin of risks
-dependence structure of risks
-measures of dependence and of extreme dependences
-introduction to copulas

5-Conceptual and mathematical models of risk processes
-self-excited point processes of economic and financial shocks
-agent-based models applied to collective emergent behavior
in organization of firms and societies and their risks

6-Endogenous versus exogenous origins of crises
-mild crises versus wild catastrophes: black swans and kings
-the dynamics of commercial sales
-the dynamics of Youtube views and internet downloads
-the dynamics of risks in the financial markets
-strategic management and extreme risks

7-Why do markets burst and crash?
-collective behavior, imitation and herding
-humans as social animals and consequence of risks
-bubbles and crashes in human affairs, innovation, new technologies

8-Limits of predictability, of control and of management
-the phenomenon of ``illusion of control''
-the world is a whole: irreducible risks from lack of diversification
-intrinsic limits of predictability
-the concept of pockets of predictability

9-Human-made risks
-political, financial, economics, natural risks
-elements on theories of decision making
-Human cooperation and its lack thereof, mechanisms and design
Lecture notesThe lecture notes will be distributed a the beginning of
each lecture.
LiteratureI will use elements taken from my books

-D. Sornette
Critical Phenomena in Natural Sciences,
Chaos, Fractals, Self-organization and Disorder: Concepts and Tools,
2nd ed. (Springer Series in Synergetics, Heidelberg, 2004)

-Y. Malevergne and D. Sornette
Extreme Financial Risks (From Dependence to Risk Management)
(Springer, Heidelberg, 2006).

-D. Sornette,
Why Stock Markets Crash
(Critical Events in Complex Financial Systems),
(Princeton University Press, 2003)

as well as from a variety of other sources, which will be
indicated to the students during each lecture.
Prerequisites / Notice-A deep curiosity and interest in asking questions and in attempting to
understand and manage the complexity of the corporate, financial
and social world

-quantitative skills in mathematical analysis and algebra
for the modeling part.
363-0584-00LInternational Monetary EconomicsW3 credits2VJ.‑E. Sturm, J. Kingeski Galimberti
AbstractWhat determines the foreign exchange rate in the short- and long-term? What are the effects of monetary and fiscal policy in an open economy? What drives a country's choice of the foreign exchange rate regime and why are some countries more prone to financial crises than others? A number of simple theoretical frameworks will be developed that allow us to discuss recent economic policy issues.
ObjectiveThe core objective of the course is to develop simple macroeconomic models of open economies that can be usefully applied to international economic phenomena ranging from global financial imbalances, the Chinese exchange rate regime, the European Monetary Union, reform proposals for the international financial architecture, to global financial crises.
Lecture notesLecture notes will be made available via Moodle.
LiteratureKrugman, Paul, Maurice Obstfeld and Marc Melitz (2019), International Economics, Theory and Policy, 11th Global Edition, Pearson.
363-0586-00LInternational Economics: Theory of New Trade and Multinational FirmsW3 credits2VP. Egger, K. M. K. Erhardt
AbstractThe primary goal of the course is to familiarize students with recent work in international economics.
ObjectiveThe primary goal of the course is to familiarize students with recent work in international economics. While traditional text books are largely concerned with models where production cost differences between countries (through differences in factor productivity or in relative factor endowments) are the main source of gains from trade, I will assume that students are familiar with these concepts and only briefly touch on them. The focus will be on models where the main reason for trade are consumer preferences and their love of variety and its major impediments are transport costs. Covering models of trade only, of trade and multinational firms, and of factor mobility and agglomeration, students will get a good overview of key contributions in international economics within the last quarter of a century.
LiteratureCopies of the original articles and relevant chapters of books will be made available to participants of the course.
363-0588-00LComplex Networks Information W4 credits2V + 1UF. Schweitzer, G. Casiraghi
AbstractThe course provides an overview of the methods and abstractions used in (i) the quantitative study of complex networks, (ii) empirical network analysis, (iii) the study of dynamical processes in networked systems, (iv) the analysis of robustness of networked systems, (v) the study of network evolution, and (vi) data mining techniques for networked data sets.
Objective* the network approach to complex systems, where actors are represented as nodes and interactions are represented as links
* learn about structural properties of classes of networks
* learn about feedback mechanism in the formation of networks
* learn about statistical inference and data mining techniques for data on networked systems
* learn methods and abstractions used in the growing literature on complex networks
ContentNetworks matter! This holds for social and economic systems, for technical infrastructures as well as for information systems. Increasingly, these networked systems are outside the control of a centralized authority but rather evolve in a distributed and self-organized way. How can we understand their evolution and what are the local processes that shape their global features? How does their topology influence dynamical processes like diffusion? And how can we characterize the importance of specific nodes?

This course provides a systematic answer to such questions, by developing methods and tools which can be applied to networks in diverse areas like infrastructure, communication, information systems, biology or (online) social networks. In a network approach, agents in such systems (like e.g. humans, computers, documents, power plants, biological or financial entities) are represented as nodes, whereas their interactions are represented as links.

The first part of the course, "Introduction to networks: basic and advanced metrics", describes how networks can be represented mathematically and how the properties of their link structures can be quantified empirically.

In a second part "Stochastic Models of Complex Networks" we address how analytical statements about crucial properties like connectedness or robustness can be made based on simple macroscopic stochastic models without knowing the details of a topology.

In the third part we address "Dynamical processes on complex networks". We show how a simple model for a random walk in networks can give insights into the authority of nodes, the efficiency of diffusion processes as well as the existence of community structures.

A fourth part "Network Optimisation and Inference" introduces models for the emergence of complex topological features which are due to stochastic optimization processes, as well as statistical methods to detect patterns in large data sets on networks.

In a fifth part, we address "Network Dynamics", introducing models for the emergence of complex features that are due to (i) feedback phenomena in simple network growth processes or (iii) order correlations in systems with highly dynamic links.

A final part "Research Trends" introduces recent research on the application of data mining and machine learning techniques to relational data.
Lecture notesThe lecture slides are provided as handouts - including notes and literature sources - to registered students only.
All material is to be found on Moodle at the following URL: Link
LiteratureSee handouts. Specific literature is provided for download - for registered students, only.
Prerequisites / NoticeThere are no pre-requisites for this course. Self-study tasks (to be solved analytically and by means of computer simulations) are provided as home work. Weekly exercises (45 min) are used to discuss selected solutions. Active participation in the exercises is strongly suggested for a successful completion of the final exam.
363-0792-00LKnowledge Management Information Restricted registration - show details
Number of participants limited to 48.
W1 credit2GP. Wolf
AbstractThe course introduces theoretical concepts of Knowledge Management from the perspective of two different social sciences: Organization Studies/Management and Sociology. Common Knowledge Management approaches, methods and tools will be presented, and the participants will have the opportunity to test some of them.
ObjectiveThe efficient management of knowledge as a resource of an organization is considered to be a major source of competitive advantage. The course aims at
- introducing participants to the most common knowledge management theories,
- raising their awareness on opportunities and barriers to attempts of managing knowledge in organizations
- drawing a realistic picture of what can be achieved by managers in the frame of knowledge management initatives by what means and approaches.
ContentThe course is building on a systemic-constructionist perspective of knowledge. From this perspective, knowledge is understood as co-constructed by people in interactions. Such a theoretic perspective looks at systemic (organizational) structures and the interplay between individuals and these structures in processes of knowledge generation and transformation.
Next to an introduction into knowledge management theories, the course will also present participants with knowledge management approaches and tools.
Lecture notesNone. Participants will be provided with slides before the course.
LiteratureRelevant literature (3-5 articles) will be send to the students at least four weeks before the course.
Prerequisites / NoticeThere will be a term work assignment - reports to be handed in in the second half of May. Students will work on an own KM case study.
363-0887-00LManagement Research Restricted registration - show details
Participation in both sessions and completion of all assignments is required to receive the credit.
This course requires preparation time and completion of an assignment before the first course day. Please check the Moodle course page for more information.
W1 credit1SN. Geilinger
AbstractThis course teaches students about the basic principles of scientific work in the field of management research.
ObjectiveThis course is for students who write their master’s thesis at the Department of Management, Technology, and Economics. You will acquire the foundations for good empirical management research. The successful completion of the course will help you to improve the quality of your thesis. Specifically, you will be able to:
• Evaluate the strengths and weaknesses of published research in academic management journals
• Find and select appropriate literature and research streams
• Formulate interesting and relevant research questions and problem statements
• Design your empirical research study and select a methodology (specific research methods and techniques are not discussed in this course)
• Plan your thesis project and write a thesis proposal

Finally, the goal of this course is to motivate you to take full advantage of the opportunity to study a management topic of your interest, and enjoy writing your thesis.
ContentThis course teaches students about the basic principles of scientific work in the field of management research. It is an introduction into the fascinating field of research. The course shows the power of theory and literature, helps formulating intriguing research questions, provides an overview of research designs, and gives hints on how to derive insightful conclusions out of results. The goal is to motivate students to find and read research papers relevant to their field, develop an own thesis proposal and write a high-quality thesis.

The course is designed with two main groups of students in mind: first, those writing their master's thesis at the Chair of Strategic Management and Innovation, and second, other MTEC students writing their master's thesis in the field of management. For both groups, the focal issues of this course will arise frequently during their journey of writing their thesis. We will provide some specific content which might not be applicable for students writing their thesis at other MTEC chairs, but the main part should be relevant for all students.
Prerequisites / NoticeThe course is given once every semester and takes place during two separate days. Attendance on both days and completion of all assignments is required to successfully complete the course.

The course is mandatory for MSc students and recommended for MAS students who write their thesis at the Chair of Strategic Management and Innovation (SMI).
363-1000-00LFinancial EconomicsW3 credits2VA. Bommier
AbstractThis is a theoretical course on the economics of financial decision making, at the crossroads between Microeconomics and Finance. It discusses portfolio choice theory, risk sharing, market equilibrium and asset pricing.
ObjectiveThe objective is to make students familiar with the economics of financial decision making and develop their intuition regarding the determination of asset prices, the notions of optimal risk sharing. However this is not a practical formation for traders. Moreover, the lecture doesn't cover topics such as market irrationality or systemic risk.
ContentThe following topics will be discussed:
Introduction to finance and investment planning; Option valuation; Arbitrage; Choice under uncertainty; Portfolio Choice; Risk sharing and insurance; Market equilibrium under symmetric information.
LiteratureSuggesting readings:

1) "Investments", by Z. Bodie, A. Kane and A. Marcus, for the
introductory part of the course (see chapters 20 and 21 in
particular).
2) "Finance and the Economics of Uncertainty" by G. Demange and G. Laroque, Blackwell, 2006.
3) "The Economics of Risk and Time", by C. Gollier, and

Other readings:
- "Intermediate Financial Theory" by J.-P. Danthine and J.B. Donaldson.
- Ingersoll, J., E., Theory of Financial Decision Making, Rowman and Littlefield Publishers.
- Leroy S and J. Werner, Principles of Financial Economics, Cambridge University Press, 2001
Prerequisites / NoticeBasic mathematical skills needed (calculus, linear algebra, convex analysis). Students must be able to solve simple optimization problems (e.g. Lagrangian methods). Some knowledge in microeconomics would help but is not compulsory. The bases will be covered in class.
363-1008-00LPublic EconomicsW3 credits2VM. Köthenbürger, G. Loumeau
AbstractPublic Economics analyses the role of the government in the economy. In this course we will discuss justifications for and the design of public policy as well as its consequences on market outcomes. Issues related to public goods, taxation, in particular the effects of tax policy on labor supply, entrepreneurship and innovation will be emphasized.
ObjectiveThe primary goal of the course is to familiarize students with the central concepts and principles of public economics. The course aims at providing a good understanding of theoretical work and how it may be applied to actual policy problems. Students will get a good overview of recent key contributions in the field and how these relate to empirical observations.
363-1031-00LQuantitative Methods in Energy and Environmental EconomicsW4 credits3GS. Rausch, D. Cerruti
AbstractThe course provides an introduction to quantitative methods used to analyze problems in energy and environmental economics. Emphasis will be put on partial and general equilibrium models, regression models to estimate demand functions, econometric techniques for policy evaluations, and panel data methods.
ObjectiveThe objectives of the course are twofold. First, the course is intended to provide an introduction to the economic assessment of energy and environmental policy. To this end, the course provides students with an overview of state-of-the-art tools to economic modeling and econometric approaches. Second, the course is intended to familiarize master (and doctoral students) with the computer software necessary to implement these quantitative methods to initiate their own research in energy and environmental economics.

Ancillary objectives of the course include an introduction to environmental implications of energy use and the role of economic analysis in designing policies which address issues of energy security, climate change and related environmental externalities.
LiteratureLecture notes, exercises and reference material will be made available to students during the semester.
Prerequisites / NoticeBasic knowledge of microeconomics and calculus. Knowledge from the courses "Energy Economics and Policy (363-0514-00L)" and "Principles of Microeconomics" are required.

Block course during two weeks before the start of the semester. Students work on a group project during the semester. Presentation of group projects by students in week 8 and 9 of the semester. Performance assessment is based on group projects during the semester.
363-0532-00LEconomics of Sustainable DevelopmentZ3 credits2VL. Bretschger
AbstractConcepts and indicators of sustainable development, paradigms of weak and strong sustainability;
neoclassical and endogenous growth models;
pollution, environmental policy and growth;
role of substitution possibilities and technological progress;
Environmental Kuznets Curve: concept, theory and empirical results;
economic growth in the presence of exhaustible and renewable resources.
ObjectiveThe aim is to develop an understanding of the implications of sustainable development for the long-run development of economies. It is to be shown to which extent the potential for growth to be sustainable depends on substitution possibilities, technological change and environmental policy.
ContentThe lecture introduces different concepts and paradigms of sustainable development. Building on this foundation and following a general introduction to the modelling of economic growth, conditions for growth to be sustainable in the presence of pollution and scarce natural resources are derived. Special attention is devoted to the scope for substitution and role of technological progress in overcoming resource scarcities. Implications of environmental externalities are regarded with respect to the design of environmental policies.
Concepts and indicators of sustainable development, paradigms of weak and strong sustainability, sustainability optimism vs. pessimism;
introduction to neoclassical and endogenous growth models;
pollution, environmental policy and growth;
role of substitution possibilities and technological progress;
Environmental Kuznets Curve: concept, theory and empirical results;
economic growth in the presence of exhaustible and renewable resources, Hartwick rule, resource saving technological change.
Lecture notesWill be provided successively in the course of the semester.
LiteratureBretschger, F. (1999), Growth Theory and Sustainable Development, Cheltenham: Edward Elgar.

Bretschger, L. (2004), Wachstumstheorie, Oldenbourg, 3. Auflage, München.

Perman, R., Y. Ma, J. McGilvray and M. Common (2003), Natural Resource and Environmental Economics, Longman , 3d ed., Essex.

Neumayer, E. (2003), Weak and Strong Sustainability, 2nd ed., Cheltenham: Edward Elgar.
363-1060-00LStrategies for Sustainable Business Restricted registration - show details
Limited number of participants.

Registration will only be effective once confirmed by email from the organizers.
W2 credits2SJ. Meuer
AbstractIn this course, students will learn to critically analyze strategies for sustainable business through exploring case studies on three main questions:
1. What is sustainability in business?
2. How do I design a sustainability strategy?
3. How do I implement a sustainability strategy?
ObjectiveAfter the course, you should be able to:

1. Understand and explain sustainability challenges companies are facing;
2. Critique sustainability and related strategies;
3. Evaluate decisions taken by managers;
4. Suggest alternative approaches;
5. Develop action plans;
6. Reflect on strategies for sustainability in their own organizations.

You will also learn to apply a range of strategy concepts to sustainability challenges, including leadership, stakeholder management, diversification, and organizational change.
ContentAlthough many companies nowadays report on their sustainability actions, only few successfully integrate sustainability into their business operations. In this seminar, we will cover three main questions that will help you to critically analyze and develop strategies for sustainable business:
1. What is sustainability in business?
2. How do I design a sustainability strategy?
3. How do I implement a sustainability strategy?

We teach the course with the case method developed at Harvard Business School. The case studies will allow us to explore from multiple perspectives the many tensions involved in developing strategies for sustainable business. We will distribute case study materials before the sessions, as well as guidelines on how best to efficiently and effectively prepare for case study discussions. You will need to read the materials and to submit short assignments before each class.

The sessions are interactive and allow you to step into the role of decision-makers as they face key challenges in integrating sustainability. For example, we will look at the challenges of Fairphone in combining both social and economic goals. Why and how would Patagonia want to encourage customers to buy less rather than more clothing? We also step into the shoes of RWE's CEO Peter Terium as he grapples with ensuring a profitable and sustainable future for the German utility. And using a change management simulation, you will experience why certain approaches to implementing a sustainability initiative in an organization are more successful than others. Our case discussions will help you to apply strategy concepts to real-world sustainability problems and will also serve as a basis for thinking about sustainability in your own company.
LiteratureWe will provide case study material and guidelines for analyzing cases to participants by email several weeks before the seminar.
Prerequisites / NoticeAfter signing up you will first be placed on the waiting list. We will contact all students on the waiting list by 1 March 2019 to confirm their participation in the seminar. If you have any questions, please don't hesitate to contact Johannes Meuer (Link).
363-0764-00LProject ManagementZ2 credits2VC. G. C. Marxt
AbstractThe course gives a detailed introduction on various aspects of professional project management out of theory and practice. Established concepts and methods for project organization, planning, execution and evaluation are introduced and major challenges discussed. The course includes an introduction on specialized project management software as well as agile project management concepts.
ObjectiveProjects are not only the base of work in modern enterprises but also the primary type of cooperation with customers. Students of ETH will often work in or manage projects in the course of their career. Good project management knowledge is not only a guarantee for individual, but also for company wide success.

The goal of this course is to give a detailed introduction into project management. The students should learn to plan and execute a project.
ContentProject planning (aims, appointments, capacities, efforts and costs), project organization, scheduling and risk analysis, project execution, supervision and control, project evaluation, termination and documentation, conflict management, multinational project management, IT support
Lecture notesNo
The lecture slides and other additional material will be available for download from Moodle a week before each class.
363-0768-00LLecture Cycle ETH and UZH: Logistics Management Information Z3 credits2VT. Netland, H. Dietl
AbstractTo show potentials for an efficient, flexible and rapid processing of material and information flows.
ObjectiveTo show potentials for an efficient, felxible and rapid processing of material and information flows.
ContentNew approaches and integral concepts to optimize business processes. Projects in industry, engineering tools
Lecture notesAm Ende der Vorlesungsreihe werden Präsentationsunterlagen abgegeben.
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