Suchergebnis: Katalogdaten im Frühjahrssemester 2019

Management, Technologie und Ökonomie Master Information
363-0404-00LIndustry and Competitive Analysis Belegung eingeschränkt - Details anzeigen
Findet dieses Semester nicht statt.
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.
KurzbeschreibungIndustry 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.
LernzielStudents 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.
InhaltIndustry 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.
LiteraturSession 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.
Voraussetzungen / BesonderesDue 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 KP3GT. Netland
KurzbeschreibungThis course provides students a theoretical fundament and practical skills for strategic configuration and coordination of global production networks and facility planning and design.
LernzielStudents 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.
InhaltThis course deals with the configuration and coordination of global manufacturing operations.
SkriptSee Moodle
LiteraturSee Moodle
Voraussetzungen / BesonderesRequirements: Preferably the course 363-0445-00L Production and Operations Management
363-0452-00LPurchasing and Supply Management
Findet dieses Semester nicht statt.
W3 KP2GS. Wagner
KurzbeschreibungBased 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.
LernzielStudents will acquire skills and tools which are valuable for designing and implementing purchasing and supplier strategies.
InhaltThe 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.
SkriptWill be available for download from the homepage of the Chair of Logistics Management (Link).
LiteraturThe 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).
Voraussetzungen / BesonderesThe 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 KP2GM. Filippini
KurzbeschreibungAn 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.
LernzielThe 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.
InhaltThe 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
Voraussetzungen / BesonderesIt 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 KP2V + 1UF. Schweitzer
KurzbeschreibungAgent-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.
LernzielA 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
InhaltThis 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.
SkriptThe lecture slides will be available on the Moodle platform, for registered students only.
LiteraturSee handouts. Specific literature is provided for download, for registered students only.
Voraussetzungen / BesonderesParticipants 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 KP2GC. Karydas
KurzbeschreibungThe lecture deals with the economics of natural resources and their effect on economic development.
LernzielStudents 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.
InhaltThe 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.
SkriptLecture Notes of the course will be sent by email to officially subscribed students.
LiteraturThe 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.
Voraussetzungen / BesonderesElementary 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
Vorgängiger Besuch der Lerneinheit 363-0503-00L Principles of Microeconomics wird empfohlen.
W3 KP2GO. Tejada Pinyol
KurzbeschreibungNoncooperative and Cooperative Game Theory, concepts and applications
LernzielThe 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.
InhaltPart 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.
SkriptFor inquiries and questions regarding the course organization please send an email to Dr. Oriol Tejada (Link).
LiteraturDavis (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
Voraussetzungen / BesonderesThe lecture will be in English.
363-0564-00LEntrepreneurial RisksW3 KP2GD. Sornette
Kurzbeschreibung-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
LernzielWe 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.
InhaltThis 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
-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
SkriptThe lecture notes will be distributed a the beginning of
each lecture.
LiteraturI 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.
Voraussetzungen / Besonderes-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 KP2VJ.‑E. Sturm, J. Kingeski Galimberti
KurzbeschreibungWhat 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.
LernzielThe 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.
SkriptLecture notes will be made available via Moodle.
LiteraturKrugman, 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 KP2VP. Egger, K. M. K. Erhardt
KurzbeschreibungThe primary goal of the course is to familiarize students with recent work in international economics.
LernzielThe 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.
LiteraturCopies of the original articles and relevant chapters of books will be made available to participants of the course.
363-0588-00LComplex Networks Information W4 KP2V + 1UF. Schweitzer, G. Casiraghi
KurzbeschreibungThe 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.
Lernziel* 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
InhaltNetworks 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.
SkriptThe 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
LiteraturSee handouts. Specific literature is provided for download - for registered students, only.
Voraussetzungen / BesonderesThere 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 Belegung eingeschränkt - Details anzeigen
Number of participants limited to 48.
W1 KP2GP. Wolf
KurzbeschreibungThe 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.
LernzielThe 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.
InhaltThe 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.
SkriptNone. Participants will be provided with slides before the course.
LiteraturRelevant literature (3-5 articles) will be send to the students at least four weeks before the course.
Voraussetzungen / BesonderesThere 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 Belegung eingeschränkt - Details anzeigen
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 KP1SN. Geilinger
KurzbeschreibungThis course teaches students about the basic principles of scientific work in the field of management research.
LernzielThis 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.
InhaltThis 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.
Voraussetzungen / BesonderesThe 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 KP2VA. Bommier
KurzbeschreibungThis 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.
LernzielThe 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.
InhaltThe 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.
LiteraturSuggesting readings:

1) "Investments", by Z. Bodie, A. Kane and A. Marcus, for the
introductory part of the course (see chapters 20 and 21 in
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
Voraussetzungen / BesonderesBasic 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 KP2VM. Köthenbürger, G. Loumeau
KurzbeschreibungPublic 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.
LernzielThe 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 KP3GS. Rausch, D. Cerruti
KurzbeschreibungThe 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.
LernzielThe 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.
LiteraturLecture notes, exercises and reference material will be made available to students during the semester.
Voraussetzungen / BesonderesBasic 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.
363-0532-00LÖkonomische Theorie der NachhaltigkeitZ3 KP2VL. Bretschger
KurzbeschreibungKonzepte und Indikatoren nachhaltiger Entwicklung, Paradigmen starker und schwacher Nachhaltigkeit;
Modelle neoklassischen und endogenen Wachstums;
Umweltverschmutzung, Umweltpolitik und Wachstum;
Rolle der Substitutionselastizität und des technischen Fortschritts;
Environmental Kuznets Curve; Wirtschaftswachstum bei nicht-erneuerbaren und erneuerbaren Ressourcen.
LernzielDie Studierenden sollen ein Verständnis für die Implikationen nachhaltiger Entwicklung in Bezug auf das langfristige Wachstum von Volkswirtschaften entwickeln. Es soll herausgearbeitet werden, inwieweit das Potential für nachhaltiges Wachstum von Substitutionsmöglichkeiten, technologischem Fortschritt und umweltpolitischen Eingriffen des Staates abhängig ist.
InhaltDie Studierenden werden zunächst mit unterschiedlichen Konzepten und Paradigmen nachhaltiger Entwicklung vertraut gemacht. Aufbauend auf dieser Grundlage werden Bedingungen für nachhaltiges Wachstum bei Umweltverschmutzung und knappen natürlichen Ressourcen näher beleuchtet. Besonderes Augenmerk liegt auf der Rolle von Substitutionsmöglichkeiten und technischem Forschritt für die Ueberwindung von Ressourcenknappheit. Auswirkungen von Umweltexternalitäten werden in Bezug auf mögliche Ansatzpunkte für wirtschafts- und umweltpolitische Eingriffe des Staates betrachtet.
Konzepte und Indikatoren nachhaltiger Entwicklung, Paradigmen starker und schwacher Nachhaltigkeit, Nachhaltigkeitsoptimismus vs. –pessimismus;
Einführung in Modelle neoklassischen und endogenen Wachstums;
Umweltverschmutzung, Umweltpolitik und Wachstum;
Rolle der Substitutionselastizität und des technischen Fortschritts;
Environmental Kuznets Curve: Grundkonzept, theoretische Elemente, empirische Resultate;
Wirtschaftswachstum bei nicht-erneuerbaren und erneuerbaren Ressourcen, Hartwick-Regel, Konsumentwicklung bei zinsabhängigem Sparen, ressourcensparender technischer Fortschritt.
SkriptDie Folien zur Veranstaltung werden vorlesungsbegleitend über Internet zugänglich gemacht.
LiteraturBretschger, 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.

Weitere Literaturangaben in der Vorlesung
363-1060-00LStrategies for Sustainable Business Belegung eingeschränkt - Details anzeigen
Limited number of participants.

Registration will only be effective once confirmed by email from the organizers.
W2 KP2SJ. Meuer
KurzbeschreibungIn 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?
LernzielAfter 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.
InhaltAlthough 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.
LiteraturWe will provide case study material and guidelines for analyzing cases to participants by email several weeks before the seminar.
Voraussetzungen / BesonderesAfter 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 KP2VC. G. C. Marxt
KurzbeschreibungAllgemeine Einführung in das Projektmanagement basierend auf dem Projektlebenszyklus.
Behandlung der methodischen Ansätze und Hilfsmittel zur Planung, Durchführung und Evaluation von Projekten.
Es werden dabei sowohl klassische Ansätzes des Projektmanagements wie auch agile Methoden vorgestellt.
LernzielProjekte sind nicht nur eine verbreitete Arbeitsform innerhalb von Unternehmen, sondern auch die wichtigste Form von Kooperation mit Kunden. ETH-Studenten werden im Verlaufe ihrer Ausbildung sowie später im Berufsleben oft in Projekten arbeiten und selbst Projekte führen dürfen. Gute Projektmanagement-Fähigkeiten sind eine grundlegende Notwendigkeit für persönlichen und unternehmerischen Erfolg.

Das Ziel der Vorlesung ist die Vermittlung von vertieften Kenntnissen über Modelle und Methoden der Projektführung unter Einbezug von Anwendungsaspekten.
InhaltDarstellung typischer Gefahren und Schwierigkeiten im Projektgeschehen. Ablaufmodelle zur Gestaltung des Projektvorgehens. Modelle der institutionellen Projektorganisation. Aufgaben der Institutionen. Einbindung externer Beteiligter. Projektplanung (Projektstruktur, Terminplanung, Ressourcenplanung, Kostenplanung). Projektkontrolle. Die Bedeutung von PC-Tools für die Projektsteuerung, Anwendungsübungen am PC. Projektinformation und -administration. Agile Methoden (am Beispiel von SCRUM)
Die Folien sowie weitere Unterlagen sind ungefähr eine Woche vor den Vorlesungen auf Moodle verfügbar.
363-0768-00LRingvorlesung ETH und UZH: Logistik-Management Information Z3 KP2VT. Netland, H. Dietl
KurzbeschreibungPotentiale für ein effizientes, flexibles und schnelles Verarbeiten von Material- und Informationsflüssen aufzeigen.
LernzielPotentiale für ein effizientes, flexibles und schnelles Verarbeiten von Material- und Informationsflüssen aufzeigen.
InhaltNeue Ansätze und integrale Konzepte zur Optimierung von Geschäftsprozessen. Projekte in Industrie, Engineering Tools.
SkriptAm Ende der Vorlesungsreihe werden Präsentationsunterlagen abgegeben.
363-0883-00LSemester Project Large Belegung eingeschränkt - Details anzeigen W6 KP13AProfessor/innen
KurzbeschreibungDas Ziel der Studienarbeit (180 Stunden) ist es, dass Master-Studierende unter Anwendung der erworbenen Fach- und Sozialkompetenzen erste Erfahrungen in der selbständigen Lösung eines technischen Problems sammeln. Die Tutoren/Tutorinnen schlagen das Thema der Studienarbeit vor, arbeiten den Projekt- und Fahrplan zusammen mit den Studierenden aus und überwachen die gesamte Durchführung.
LernzielDas Ziel der Studienarbeit (180 Stunden) ist es, dass Master-Studierende unter Anwendung der erworbenen Fach- und Sozialkompetenzen erste Erfahrungen in der selbständigen Lösung eines technischen Problems sammeln. Die Tutoren/Tutorinnen schlagen das Thema der Studienarbeit vor, arbeiten den Projekt- und Fahrplan zusammen mit den Studierenden aus und überwachen die gesamte Durchführung.
363-0881-00LSemester Project Small Belegung eingeschränkt - Details anzeigen W3 KP6AProfessor/innen
KurzbeschreibungDas Ziel der Studienarbeit (90 Stunden) ist es, dass Master-Studierende unter Anwendung der erworbenen Fach- und Sozialkompetenzen erste Erfahrungen in der selbständigen Lösung eines technischen Problems sammeln. Die Tutoren/Tutorinnen schlagen das Thema der Studienarbeit vor, arbeiten den Projekt- und Fahrplan zusammen mit den Studierenden aus und überwachen die gesamte Durchführung.
LernzielDas Ziel der Studienarbeit (90 Stunden) ist es, dass Master-Studierende unter Anwendung der erworbenen Fach- und Sozialkompetenzen erste Erfahrungen in der selbständigen Lösung eines technischen Problems sammeln. Die Tutoren/Tutorinnen schlagen das Thema der Studienarbeit vor, arbeiten den Projekt- und Fahrplan zusammen mit den Studierenden aus und überwachen die gesamte Durchführung.
363-1038-00LSustainability Start-Up Seminar Belegung eingeschränkt - Details anzeigen
Maximale Teilnehmerzahl: 30
W3 KP2GA.‑K. Zobel
KurzbeschreibungExperts lead participants through a lean start-up process. The course contains idea generation and evaluation, team formation, and the development of one entrepreneurial idea per team. A special focus is put on sustainability, in particular on circular economy and renewable energy technologies.
Lernziel1. Participants become keen on starting their own company
2. Participants believe in their ability to found their own company
3. Participants experience the first steps within such a start-up
4. Participants reflect on sustainability issues
InhaltThis course is aimed at people with a keen interest to address sustainability issues (with a focus on circular economy and renewable energy) with entrepreneurial ideas!

The seminar consists of a mix of lectures, workshops, individual working sessions, and team work. Reflecting on learning goals and progress is an integral part of the course.

All course content is based on the latest international entrepreneurship practices: The seminar starts with an introduction to entrepreneurship and sustainability, followed by idea generation and evaluation workshops, team formation sessions, the development of a business model around selected ideas, real-life testing of these business models, and a pitching training. The course ends with a pitching event where all teams will present their start-up idea.

More information can be found on Link .
SkriptAll material will be made available to the participants.
Voraussetzungen / BesonderesPrerequisite:
Interest in sustainability & entrepreneurship.

1. It is not required that participants already have a business idea at the beginning of the course.
2. No legal entities (e.g. GmbH, Association, AG) need to be founded for this course.
3. Additonally to the weekly lectures, there will be the opportunity to participate at an optional presentation skills workshop.

Target participants:
PhD students, Msc students and MAS students from all departments. The number of participants is limited to max.30.

Waiting list:
After subscribing you will be added to the waiting list.
The lecturers will contact you a few weeks before the start of the seminar to confirm your interest and to ensure a good mixture of study backgrounds, only then you're accepted to the course.
363-1029-00LSustainability & Financial Markets Belegung eingeschränkt - Details anzeigen
Limited number of participants.

Credit points will awarded for attending all course days.

Prerequisites: Basic understanding of corporate sustainability (see lecture Prof. Hoffmann, autumn semester) and interest in financial markets and investments.
W2 KP2GT. O. Busch
KurzbeschreibungSustainable investments are becoming increasingly prominent while at the same time current business practices reach beyond ecological limits. Are sustainable investments a myth? Clearly not; however, sustainable investment practices still have to move on. This lecture is focused on the related challenges and discusses ways how the field of sustainable investments could become more effective.
LernzielSustainable investments are becoming increasingly prominent while at the same time the market reality remains unchanged despite evidence that current business practices reach beyond ecological limits and are in breach of both the inter-generational and intra-generational equity. Are sustainable investments a myth? Clearly not - capital markets could indeed play a central role in overcoming this dilemma. However, sustainable investment practices still have to move on for effectively incorporating and promoting sustainability. For this to occur, two central challenges need to be addressed: In order to improve the authenticity of data, it is important to make clear what environmental, social, and governance (ESG) related data is actually measuring. This, in turn, will contribute to ensuring that investors gain trust in ESG-criteria and investments. In order to overcome the prevailing focus on short-term profit maximization, it is necessary to put more emphasis on a systems-perspective. This, in turn, will help investors to move on from having a too narrow ceteris paribus perspective towards addressing risks and opportunities within changing ecological and human-social systems. The learning objectives of this lecture is to understand these two challenges in detail and discusses ways how the field of sustainable investments could move ahead.
InhaltDay 1 & 2: Introduction (basic Introduction to theme "Sustainability & Financial Markets"); several Lectures (covering diverse concepts, theories, and practitioner perspectives; case studies); and assignment of topics to students
Day 3 & 4: Presentations (students will present their topics in class) & Discussions
Voraussetzungen / BesonderesNumber of participants: max. 20 persons. First come first severed by order of enrollment in myStudies.

Credit points will awarded for attending all course days.

Requirements for this course: Basic understanding of corporate sustainability (see lecture Prof. Hoffmann, fall term) and general interest in financial markets and investments.

Students will be noticed about their successful registration at the beginning of the semester.
363-1091-00LSocial Data ScienceW3 KP2GD. Garcia Becerra
KurzbeschreibungSocial Data Science is introduced as a set of techniques to analyze human behavior and social interaction through digital traces.
The course focuses both on the fundamentals and applications of Data Science in the Social Sciences, including technologies for data retrieval, processing, and analysis with the aim to derive insights that are interpretable from a wider theoretical perspective.
LernzielA successful participant of this course will be able to
- understand a wide variety of techniques to retrieve digital trace data from online data sources
- store, process, and summarize online data for quantitative analysis
- perform statistical analyses to test hypotheses, derive insights, and formulate predictions
- implement streamlined software that integrates data retrieval, processing, statistical analysis, and visualization
- interpret the results of data analysis with respect to theoretical and testable principles of human behavior
- understand the limitations of observational data analysis with respect to data volume, statistical power, and external validity
InhaltSocial Data Science (SDS) provides a broad approach to the quantitative analysis of human behavior through digital trace data.
SDS integrates the implementation of data retrieval and processing, the application of statistical analysis methods, and the interpretation of results to derive insights of human behavior at high resolutions and large scales.
The motivation of SDS stems from theories in the Social Sciences, which are addressed with respect to societal phenomena and formulated as principles that can be tested against empirical data.
Data retrieval in SDS is performed in an automated manner, accessing online databases and programming interfaces that capture the digital traces of human behavior.
Data processing is computerized with calibrated methods that quantify human behavior, for example constructing social networks or measuring emotional expression.
These quantities are used in statistical analyses to both test hypotheses and explore new aspects on human behavior.

The course starts with an introduction to Social Data Science and the R statistical language, followed by three content blocks: collective behavior, sentiment analysis, and social network analysis. The course ends with a datathon that sets the starting point of final student projects.

The course will cover various examples of the application of SDS:
- Search trends to measure information seeking
- Popularity and social impact
- Evaluation of sentiment analysis techniques
- Quantitative analysis of emotions and social media sharing
- Twitter social network analysis

The lectures include theoretical foundations of the application of digital trace data in the Social Sciences, as well as practical examples of data retrieval, processing, and analysis cases in the R statistical language from a literate programming perspective.
The block course contains lectures and exercise sessions during the morning and afternoon of five days.
Exercise classes provide practical skills and discuss the solutions to exercises that build on the concepts and methods presented in the previous lectures.
SkriptThe lecture slides will be available on the Moodle platform, for registered students only.
LiteraturSee handouts. Specific literature is provided for download, for registered students only.
Voraussetzungen / BesonderesParticipants of the course should have some basic background in statistics and programming, and an interest to learn about human behavior from a quantitative perspective.

Prior knowledge of advanced R, information retrieval, or information systems is not necessary.

Exercise sessions build on technical and theoretical content explained in the lectures. Students need a working laptop with Internet access to perform the guided exercises.

Course evaluation is based on the project developed in the last session datathon (50%) and on the final project report (50%).
The course takes place between Feb 11th and Feb 15th (both inclusive), from 9:15 to 12:00 and from 13:15 to 16:00.
363-1030-00LDigital Entrepreneurship Sprint Belegung eingeschränkt - Details anzeigen
To guarantee a high standard of entrepreneurial thinking students, we require a letter of motivation which should describe your business idea or the entrepreneurial motivation. Interested students send their letter of motivation together with their CV via E-Mail to Jana Thiel Link no later than January 31, 2019.
W3 KP2GB. Clarysse
KurzbeschreibungThe seminar aims at students from HSG and ETH Zürich who are motivated to push their own business idea forward or want to act as co-founders.
They should be interested in aspirational business ideas with a technology focus and perceive entrepreneurship as a career option.
LernzielThe seminar provides insights into conceptual knowledge and methods for the development of scalable business models. Through interdisciplinary exchange (HSG & ETHZ students), lecturers from the participating institutions, entrepreneurs and investors participants will learn methods and approaches to validate and pitch innovative business ideas.
InhaltThe seminar consists of four all-day sessions (Feb 27 & 28 / March 6 & 7):

Part 1 - The business idea and team-matching
Part 2 - Validation, prototyping & testing
Part 3 - Business Modells, metrics and financials
Part 4 - The business concept presentation

The first two days will take place at ETHZ whereas the final two days take place in St. Gallen. Travel costs will not be reimbursed.

The task throughout the course will be to develop a technology-oriented, knowledge-intensive and sustainable business idea in teams of three to four students. Starting from the business idea, students will develop a business model which shows in detail the sustainability over a medium term. The subsequent quantification of the business model will lead to a comprehensive business concept, which has to be visualized and presented in form of a pitch deck. The students will be coached intensively by the lecturers. The connection to practice is provided by the involvement of entrepreneurs and investors.

Throughout the course, company and equity financing will be taught. Highly promising business ideas can be promoted further by the lecturers and the HSG Gründer Lab. Next to the active participation during the lectures (30%), two presentations of the business concept (30%) as well as the final version of the business concept (40%) will be graded. After the presentation, the students will have time to complement the pitch deck with further product-, technology-, market- and financial-related information and to implement the jury's feedback.
SkriptNo script, just do.
LiteraturAlexander Osterwalder, Yves Pigneur, Business Model Generation: A Handbook for Visionaries, Game Changers, and Challengers, 2010, John Wiley & Sons.
Steven Blank: Four Steps to the Epiphany, 2013, K&S Ranch.
Eric Ries: The Lean Startup, 2012, Redline Wirtschaft.
Voraussetzungen / BesonderesThis course requires highly motivated students. We therefore require a letter of motivation (one page) for admission. In this letter, you should briefly describe your business idea or your entrepreneurial motivation. Please, also state your commitment to attend all four course days.
363-1098-00LBusiness Analytics
Students from the MAS MTEC are not applicable for this course and are kindly asked to enroll in the course "Executive Business Analytics (365-1120-00L)" instead.
W3 KP2GS. Feuerriegel
KurzbeschreibungPrior to the start of the Information Age in the late 20th century, companies were forced to collect data from non-automated sources manually. Companies back then lacked the computing capabilities necessary for data to be analyzed, and as a result, decisions primarily originated not from knowledge but from intuition.
LernzielWith the emergence of ubiquitous computing technology, company decisions nowadays rely strongly on computer-aided “Business Analytics”.

Business analytics refers to technologies that target how business information (or sometimes information in general) is collected, analyzed and presented. Combining these features results in software serving the purpose of providing better decision support for individuals, businesses and organizations.

This course will teach what distinguishes the varying capabilities across business analytics – namely the underlying methods. Participants will learn different strategies for data collection, data analysis, and data visualization. Sample approaches include dimension reduction of big data, data visualization, model selection, clustering and forecasting.
In particular, the course will teach the following themes:
• Forecasting: How can historical values be used to make predictions of future developments ahead of time? How can firms utilize unstructured data to facilitate the predictive performance? What are metrics to evaluate the performance of predictions?
• Data analysis: How can one derive explanatory power in order to study the response to an input?
• Clustering: How can businesses group consumers into distinct categories according to their purchase behavior?
• Dimension reduction: How can businesses simplify a large amount of indicators into a smaller subset with similar characteristics?
During the exercise, individual assignments will consist of a specific problem from business analytics. Each participant will be provided with a dataset to which a certain method should be applied to using the statistics software R.
1. Motivation and terminology
2. Business and data understanding
a. Data management and strategy
b. Data mining processes
3. Data preparation for big data
a. Software and tools
b. Knowledge representation and storage
c. Information preprocessing
4. Explanatory modeling
5. Predictive modeling
a. Classification
b. Variable selection
c. Handling non-linearities
d. Ensemble learning
e. Unsupervised learning
f. Working with unstructured data
6. Managerial implications
LiteraturJames, Witten, Hastie & Tibshirani (2013): An Introduction to Statistical Learning: With Applications in R. Springer.
Sharda, Delen & Turban (2014): Business Intelligence: A Managerial Perspective on Analytics. Pearson.
363-1070-00LCyber SecurityW3 KP2GS. Frei
KurzbeschreibungThis course provides a solid understanding of the fundamental mechanics and limitations of cyber security to provide guidance for future leaders as well as individuals constituting our society.
Introdution to the concepts, developments, and the current state of affairs in the cyber security domain. We look at the topic from the attackers, defenders and societies perspective.
LernzielUpon completion of this course students understand the essential developments, principles, challenges as well as the the limitations and the state of practice in cyber security from the technological, economic, legal, and social perspective.
The course provides an interdisciplinary overview, guidance, and understanding of the dynamics in cyber security to guide decision making in business and society. Students understand the topics from the attackers, defenders, and societies perspective.
- Brief history of the rise of the Internet from the attackers, defenders, commercial and society perspective
- Learning points from past and current assumptions, approaches, successes, failures, and surprises

Internet Infrastructure
- Establish a high level understanding of the fundamental design principals and functional blocks of the Internet infrastructure
- Understand strengths and weaknesses of present design choices from security perspective
- High level understanding of relevant networking concepts, protocols, software applications, policies, processes & organizations in order to assess these topics
- Establish a functional, high level understanding of relevant aspects of cryptography

Cyber Security & Risk
- Recognize cyber security as an interdisciplinary, highly dynamic, complex and adaptive system where increased interaction and dependencies between physical, communication, and social layers brings fundamentally different (and unpredictable) threats
- Core security assets such as: confidentiality, integrity, availability, authenticity, accountability, non repudiation, privacy
- Dominant players, protocols, and technologies
- Different threat actors along the dimensions attacker goals, resources, approach, and threat

Economics of Cyber Security
Understand security challenges and limitations from an economic, rather than technological perspective
- From security perspective: incentives of industry vs. users, security as a negative externality, zero marginal cost of software, network effect, time to market, lock-in, switching cost, economics of usability, security as a trade-off
- Social and psychological aspects of security

Attacker Capabilities
- Attacker capabilities and the offensive use from technical, economic, organizational, and operational perspective
- Understand common and novel attack and evasion techniques, proliferation of expertise and tools, optimal timing to use zero-day attacks
- Attack types and malware development lifecycle and detection evasion techniques
- Botnets, exploit markets, plausible deniability, distributed denial of service (DDoS)
- Processes and dynamics in the (in)security community, cyber-underground

Defense Options and Limitations
- Functional principles, capabilities, and limitations of diverse protection and detection technologies
- Security effectiveness and evaluation/testing of security technologies
- Trade-off between efficiency and resilience against structurally novel attacks
- Effectiveness baseline security measures
- Know cyber information sources and frameworks

Cyber Security Challenges
- Increasing software complexity and vulnerabilities, the illusion of secure software
- Full disclosure debate, economics of bug bounty programs
- Internet of things, Industry control systems (SCADA/ICS)
- Security and integrity of the supply chain (IoT, Smart-X)
- Social media and mass protests
- Erosion of privacy

Legal Aspects
- Legal aspects of cyber security, compliance, and policies
- Know the fundamental national and international legal and regulatory requirements in connection with cyber security on a cross-sector and sector-specific level
- Understanding of legal risks and measures for risk mitigation

Guest Talks:
- Pascal Gujer - Digital Forensics Expert Kapo Zurich (Cantonal Police Departement Zurich)
- Maxim Salomon - Program Lead Cyber Security Program Roche Diagnostics, "The safety vs. security of cyber physical systems"
- Marc Ruef - Security Expert, "Navigating the Cyber Underground"
- Roger Halbheer - Executive Security Advisor for Microsoft in EMEA
SkriptLecture slides will be available on the site of the lecture:


Collaboradom: Cyber Security Course 2019
To get access ask Link for the registration code once the course has begun
LiteraturPaper reading provided during the lectures
Voraussetzungen / Besonderesnone
363-1076-00LDiffusion of Clean TechnologiesW3 KP2GB. Girod, C. Knöri
KurzbeschreibungHow can the diffusion of clean technologies be accelerated by policy or business strategies?
Participants learn to apply analytic tools to evaluate environmental and business potentials of clean technologies. Exercises that evaluate a selected clean technology deepen the theoretical knowledge gained. Students are trained to evaluate, explain and present a clean technology.
LernzielStudents are able to ...
1) apply the theoretical concepts introduced to a specific clean technology case
2) determine key drivers and barriers (economic, environmental, technological, regulatory) for diffusion of clean technologies
3) quantitatively model key characteristics or dynamics of selected clean technologies
4) convincingly present a selected clean technology to a business or policy audience
InhaltAnalytical tools to assess the environmental performance of clean technologies (e.g. Life Cycle-Assessment); economic view on the diffusion of clean technologies; evolutionary perspective (e.g. technological learning); decision process of adopters (e.g. status-quo bias of consumers, rebound effect); relevant environmental policies (e.g. standards, labels, carbon pricing); modelling approaches for diffusion of clean technologies (e.g. agent based modelling); techniques for convincing presentations (e.g. TED style presentation).
SkriptSlides and exercises will be available on electronic platform.
LiteraturRelevant literature will be available on electronic platform.
363-1056-00LInnovation Leadership Belegung eingeschränkt - Details anzeigen
Up to four slots are available for students in architecture or civil engineering (Master level) or for D-MTEC MAS/MSc students with architecture or civil engineering background.

If you are NOT a student in Integrated Building Systems, you need to apply with motivation letter (max. 1 page), CV and a transcript of records no later than 31.1.2019. Please send your application to Anna Deréky (Link).
W6 KP3SS. Brusoni, C. P. Siegenthaler, Z. Zagorac-Uremovic
KurzbeschreibungThis course provides participants with the challenging opportunity of working on a real project in collaboration with a leading company in the building industry.
LernzielIn your team, you work on a specific innovation project originating in the current strategic agenda of the companies top management. You conduct interviews with members of the management team, with internal and external experts as well as clients and discuss your ideas with the CEO and other executives. You gain first-hand experience on the competitive dynamics of the construction industry.
Voraussetzungen / BesonderesCourse Sessions are:

26.02.2019 14.15-18.00 WEV F109-111
05.03.2019 14.15-18.00 WEV F109-111
12.03.2019 14.15-18.00 WEV F109-111
26.03.2019 14.15-18.00 WEV F109-111
02.04.2019 14.15-18.00 WEV F109-111
16.04.2019 14.15-18.00 WEV F109-111
07.05.2019 14.15-18.00 WEV F109-111
14.05.2019 14.15-18.00 WEV F109-111
04.06.2019 14.15-18.00 WEV F109-111

For course Sessions that take place in WEV F109-111 participation is mandatory.

**** In addition to the schedule, we will meet at the company outside ETH on 01.03.2019, 13.00-20.00 and 28.05.2019, 13.00-20.00 (time includes travel). ****

Student Project Development Sessions are:

08.03.2019 12.00-15.30 ETH Student Project House Workspace
15.03.2019 12.00-15.30 ETH Student Project House Workspace
22.03.2019 12.00-15.30 ETH Student Project House Workspace
29.03.2019 12.00-15.30 ETH Student Project House Workspace
05.04.2019 12.00-15.30 ETH Student Project House Workspace
12.04.2019 12.00-15.30 ETH Student Project House Workspace
03.05.2019 12.00-15.30 ETH Student Project House Workspace
10.05.2019 12.00-15.30 ETH Student Project House Workspace
17.05.2019 12.00-15.30 ETH Student Project House Workspace
24.05.2019 12.00-15.30 ETH Student Project House Workspace

Student Project Development Sessions are mandatory meeting slots for the student teams to work independently on the assignments (without lecturers). They take place at the ETH Student Project House Workspace.
363-1055-00LMarketing Practice Belegung eingeschränkt - Details anzeigen
Findet dieses Semester nicht statt.
W3 KP1SF. von Wangenheim
KurzbeschreibungThe course enables students to apply their knowledge from marketing and other disciplines to real life cases under the supervision of internationally operating partner companies.
LernzielFirst, students have to assess and analyse real life problems in order to generate creative solutions.

Secondly, students have to demonstrate that they are both - able to apply their knowledge from marketing theory to practice, as well as to communicate their ideas to other students and leading marketing executives.
InhaltThe Circle of Excellence is a one-year talent program for outstanding students together with the universities of Münster, Cologne and Berlin. It aims at preparing the participants for interesting management tasks within various workshops in collaboration with our internationally operating partner companies, e.g. PanGas, L'Oréal, Henkel, McKinsey, EDEKA,...

Please find more information on:
Voraussetzungen / BesonderesYour profile:
- Strong interest in Marketing topics
- Very good academic performance
- Interesting and convincing personality

Students have to organize the remaining phase of their studies in a way that they are able to participate in the workshops.
363-1084-00LEntrepreneurial Investments Belegung eingeschränkt - Details anzeigen
Number of participants limited to 30.

Students apply with short motivation letter (max. 1 page) and CV. Please send your application to Fariba Hashemi (Link). Once your application is confirmed, registration in myStudies is possible.
W3 KP2GF. Hashemi
KurzbeschreibungMethodologies and tools presented throughout this course will serve to help young scientists and engineers gain the necessary skills and confidence to manage entrepreneurial investment risks and navigate the complexities of decision making within multiple stakeholder settings.
LernzielThis course is designed for students interested in investments.

Special focus will be placed on theoretical and empirical analysis of the economics of innovation, risk and entrepreneurial investments.

Entrepreneurship in this course is studied from the filter of an investor. As such, this course is likewise of interest to students interested in turning advanced research results into highly innovative, socially or economically viable product or service, and financing it sustainably.

Essential to any investment decision is knowledge and good understanding of the investment environment. Scientists and engineers need to work within the priorities of the society in which they operate, and their expectations must be aligned with the opportunities and constraints emanating from the economic, social and political environment. This demands bold thinking on technology development, and challenges students to effectively bridge the different cultures represented by the fields of science, engineering and economics.
InhaltBoth economic theory and empirical knowledge are critical for decision-making skills required to tackle entrepreneurial investment risks and opportunities. To that end, the first part of the course is dedicated to an intensive study of theoretical foundations of economic analysis applied to entrepreneurial investments. The multifaceted issues entrepreneurial investors face, as well as the essential mechanics of startup investing are studied.

The second part of the course is dedicated to real world experiences in entrepreneurial investments.

Teaching methodology includes class lectures covering the theoretical foundations of entrepreneurial investments, real world case studies, and small group interactive casework and exercises. For select sessions, highly experienced investors will collaborate with course faculty, and share their extensive experiences. This will provide additional real world practical dimensions to classroom learning process.
LiteraturA series of readings will be assigned first day of class
Voraussetzungen / BesonderesNone.
363-1066-00LDesigning Effective Projects for Promoting Health@Work Belegung eingeschränkt - Details anzeigen
Number of participants limited to 30.
W3 KP2GG. Bauer, R. Brauchli, G. J. Jenny
KurzbeschreibungThe fast changing, flexible and performance-oriented economy implies increasing challenges and opportunities for the health of employees. Creating good working conditions and promoting healthy lifestyles of employees becomes more and more important for employers and employees. Students learn how to develop an effective, real-life project of their choice to promote health@work.
LernzielStudents become familiar with challenges and opportunities of a changing world of work. They get an overview of intervention approaches and principles in the fields of worksite health promotion as well as work and organizational psychology. On this basis, they learn how to develop an effective, real life worksite health promotion project of their choice – addressing lifestyle factors or working conditions.
During the project work, they learn to follow the typical phases of selecting/framing a relevant work-related health issue, conducting an analysis, formulating smart objectives, developing a realistic action plan, estimating the time and money needed for these actions, and finally evaluating the impact of the project. This will strengthen their general project management skills.
Students will know how to apply key quality criteria of health promotion projects: 1.) how to follow a systematic, evidence-based approach (project management), 2.) how to assure involvement of and thus acceptance by the users (participation), 3.) how to consider both individual, lifestyle-related and organizational, work-related factors (comprehensiveness), and 4.) how to integrate the project into the routine of the organization to assure sustainability (integration). This will increase the impact of future health promotion projects developed by the students.
D-MTEC students will be able to systematically address employee health and performance in their future management practice. D-HEST students will be able to apply their health promotion knowledge to the challenging context of corporations. D-USYS students will be able to consider lifestyle factors and the working environment in their future work. The exchange among these interdisciplinary student groups will foster their ability to solve real life problems in a transdisciplinary manner. Finally, students get acquainted how to design their future work in a health promoting way.
Inhalt1. Challenges in health@work and intervention approaches
2. Lifestyle interventions at work incl. digital tools
3. Personal and organizational strategies for promoting healthy work
4. Core concepts, values and principles in promoting health@work;
introduction to project work & 7-pillar planning model
5. Framing and analysis of health@work issues
6. Participatory priority setting in health@work projects and defining outcome objectives
7. Combining levels of interventions and defining process objectives
8. Project management
9. Evaluation of process and outcomes
10. Preparation* & presentation of posters of group work

Each lecture combines an input by an expert in the respective field and group discussions. During 8 sessions students will directly apply the acquired knowledge to an own, individual project on a self-chosen topic on health@work. Tutors closely support the students in designing their projects. During the last two dates, the students present their projects to the entire class in a poster format. This presentation will be commented by the course leader and serves as the final course assessment.
Voraussetzungen / BesonderesA course for students dedicated to applied learning through projects. As the whole course is designed as a hands-on workshop for the students, active participation in all lectures is expected. Class size limited to 30 students.
363-0546-00LIndustrial Organization and Competition PolicyW3 KP2VJ.‑P. Nicolai
KurzbeschreibungIndustrial organization focuses on firm behavior (the choice of price, quantity or investment) in imperfectly competitive markets and analyzes the acquisition and use of market power by firms, strategic interactions among firms, and the role of government competition policy. It uses microeconomic theory instruments. The course combines theory with case-studies.
LernzielThe first objective of the course is to provide a modern treatment of industrial organization using microeconomic theory. The students will learn the basic tools to tackle with the firms' behaviors and the competition policy. The second objective of the course is also to provide a presentation of some important issues in Industrial Organization. For each one that will be covered in this course, both theory and applications will be discussed.
InhaltThis course is compound of two parts. The first one will be devoted to the framework required to analyze firms' behaviors, the different kinds of competition and the relation between welfare and market structures.

The last part focuses on several issues that we will approach from both theoretical and applied perspectives.
Cartels and tacite collusion
Horizontal mergers
Vertical relations
Barriers to entry
Switching costs
LiteraturThe Theory of Industrial Organisation, Tirole, Jean, MIT press, 1988

Industrial Organization: Contemporary Theory and Empirical Applications Pepall, Lynne, Daniel Richards and George Norman, Wiley-Blackwell, 2008.

Introduction to Industrial Organization, Cabral, Luis, MIT Press, 2000.
Voraussetzungen / BesonderesThe students must be comfortable with basic calculus, and need to have passed at least one course in microeconomics, for instance: Principles of Microeconomics or Intermediate Microeconomics.

The lecture notes are not self-explanatory. Sufficient learning of the covered material requires attendance in the class, individual reading of a textbook and doing exercises.
363-1101-00LInformation Technologies in Production and Operations Management
Prerequisite: successfully completed course ahead 363-0445-00L Production and Operations Management.
W1 KP1GE. Scherer Casanova, T. Netland
KurzbeschreibungInformation Technology (IT) is an integrated part of production and operations management (POM). As digitalization is on the rise, it is imperative for students to be familiar with the common IT systems used in industry.
LernzielIn this course, the students gain an overview about the role and use of IT in POM. The course focuses on Enterprise Resource Planning (ERP) systems. It also touches briefly on other business software such as Supervisory Control and Data Acquisition (SCADA) systems, Manufacturing Execution Systems (MES), Product Lifecycle Management (PLM) systems, and collaborative supply chain software. . Through lectures and exercises, the students gain experience with ERP and the challenges surrounding implementing and managing IT systems in local and global POM settings.

After completing this course:
1. Students are familiar with IT systems used in manufacturing.
2. Students can select appropriate ERP software and ERP modules for a given company.
3. Students are familiar with appropriate parameter setting in ERP systems.
4. Students can explain the role of people in ERP.
5. Students can explain the link between operations, IT, and accounting.
Voraussetzungen / BesonderesSuccessfully completed course ahead: 363-0445-00L Production and Operations Management.
Class attendance is required.
363-1103-00LLean Startup Academy – From Idea to Startup Belegung eingeschränkt - Details anzeigen
More information & application process via
W3 KP2GD. Hengartner
KurzbeschreibungFrom idea to product/market-fit with state-of-the-art Lean Startup methodologies, taught by entrepreneurs, startup coaches and corporate entrepreneurship experts.
LernzielLearn how to apply state-of-the-art Lean Startup methodologies on real-life cases and how to combine it with knowledge from other domains.
Inhalt1) Get to know state-of-the-art Lean Startup methodologies from Silicon Valley, that are used by successful entrepreneurs globally

2) Get Insights into the startup co-creation methodologies and initiatives and possibilities within the Zurich ecosystem

3) Learn what it takes to become a successful entrepreneur: fast-prototype your business idea and get real customer feedback, form an investor pitch & present in front of investors and know the next steps to continue your startup adventure

4) Learning-by-doing: Learn from experienced entrepreneurs, who coach intra- & entrepreneurs on a daily base and apply “Lean Startup” on your project

5) Real-life case: Equipped with your own Kickbox, the innovation toolbox of Swisscom, you will learn how to get from an idea to a tangible prototype and real customer feedback. The toolbox with a gamificated innovation process and a small project budget of up to CHF 1'000.- will help you to kickstart your idea!
Voraussetzungen / BesonderesMore information & application process via Link
376-1178-00LHuman Factors IIW3 KP2VM. Menozzi Jäckli, R. Huang, M. Siegrist
KurzbeschreibungStrategies, abilities and needs of human at work as well as properties of products and systems are factors controlling quality and performance in everyday interactions. In Human Factors II (HF II), cognitive aspects are in focus therefore complementing the more physical oriented approach in HF I. A basic scientific approach is adopted and relevant links to practice are illustrated.
LernzielThe goal of the lecture is to empower students in designing products and systems enabling an efficient and qualitatively high standing interaction between human and the environment, considering costs, benefits, health, well-being, and safety as well. The goal is achieved in addressing a broad variety of topics and embedding the discussion in macroscopic factors such as the behavior of consumers and objectives of economy.
InhaltCognitive factors in perception, information processing and action. Experimental techniques in assessing human performance and well-being, human factors and ergonomics in development of products and complex systems, innovation, decision taking, consumer behavior.
LiteraturSalvendy G. (ed), Handbook of Human Factors, Wiley & Sons, 2012
363-1104-00LAdvanced Studies in Entrepreneurship Belegung eingeschränkt - Details anzeigen
Findet dieses Semester nicht statt.
In order to register for this course, students must either be current doctoral students in entrepreneurship or have successfully passed the two foundational courses "Entrepreneurship" (363-1077-00 L) and "Technology Entrepreneurship" (363-0790-00 L).
W3 KP2GB. Clarysse
KurzbeschreibungThe course covers foundational papers and research streams related to entrepreneurship and targets masters and PhD students with a research interest in entrepreneurship, innovation and organization theory. For each session, the students are required to read the assigned five research papers and prepare for an in-depth discussion thereof. Active preparation and participation are a key requirement.
LernzielCourse participants will

- acquire knowledge about foundations and trends in entrepreneurship research
- learn how to read, analyze and discuss academic papers
- be able to identify new lines of research based on the discussed materials
- improve their own writing of research papers
InhaltSession topics:

- Founder & Entrepreneurial Identity
- Hybrid Organizations & (Social Entrepreneurship)
- Entrepreneurship Theory and the Individual-Opportunity Nexus
- Institutional Theory & Entrepreneurship
- Technology Market Linking & Search in Entrepreneurship
- International Entrepreneurship
- Bottom-up Innovation / Corporate Entrepreneurship
- Teams & Entrepreneurship
SkriptAll papers are accessible through the ETH Library or will be provided at the start of the course.
LiteraturSee Syllabus
Voraussetzungen / BesonderesIn order to register for this course, students must either be current doctoral students in entrepreneurship or have successfully passed the two foundational courses "Entrepreneurship" (363-1077-00 G) and "Technology Entrepreneurship" (363-0790-00 V).
363-1100-00LRisk Case Study Challenge Belegung eingeschränkt - Details anzeigen
Limited number of participants.

Please apply for this course via the official website (Link). Once your application is confirmed, registration in myStudies is possible.
W3 KP2SB. J. Bergmann, A. Bommier, S. Feuerriegel
KurzbeschreibungThis seminar provides master students at ETH with the challenging opportunity of working on a real risk modelling and risk management case in close collaboration with a Risk Center Partner Company. For the Spring 2019 Edition the Partner will be Zurich Insurance Group.
LernzielStudents work on a real risk-related case of a business relevant topic provided by experts from Risk Center partners. While gaining substantial insights into the risk modeling and management of the industry, students explore the case or problem on their own, working in teams, and develop possible solutions. The cases allow students to use logical problem solving skills with emphasis on evidence and application and involve the integration of scientific knowledge. Typically, the risk-related cases can be complex, cover ambiguities, and may be addressed in more than one way. During the seminar students visit the partners’ headquarters, conduct interviews with members of the management team as well as internal and external experts, and present their results.
InhaltGet a basic understanding of
o The insurance and reinsurance business
o Risk management and risk modelling
o The role of operational risk management

Get in contact with industry experts and conduct interviews on the topic.

Conduct a small empirical study and present findings to the company
Voraussetzungen / BesonderesPlease apply for this course via the official website (Link). Apply no later than February 15, 2019.
The number of participants is limited to 14.
860-0015-00LSupply and Responsible Use of Mineral Resources I Belegung eingeschränkt - Details anzeigen W3 KP2GB. Wehrli, F. Brugger, K. Dolejs Schlöglova, S. Hellweg, C. Karydas
KurzbeschreibungStudents critically assess the economic, social, political, and environmental implications of extracting and using energy resources, metals, and bulk materials along the mineral resource cycle for society. They explore various decision-making tools that support policies and guidelines pertaining to mineral resources, and gain insight into different perspectives from government, industry, and NGOs.
LernzielStudents will be able to:
- Explain basic concepts applied in resource economics, economic geology, extraction, processing and recycling technologies, environmental and health impact assessments, resource governance, and secondary materials.
- Evaluate the policies and guidelines pertaining to mineral resource extraction.
- Examine decision-making tools for mineral resource related projects.
- Engage constructively with key actors from governmental organizations, mining and trading companies, and NGOs, dealing with issues along the mineral resource cycle.
Voraussetzungen / BesonderesBachelor of Science, Architecture or Engineering, and enrolled in a Master's or PhD program at ETH Zurich. A half-semester course offered from February 20th to April 26th. Students must be enrolled in this course in order to enrol in the case study module course 860-0016-00 Supply and Responsible Use of Mineral Resources II.
363-1095-00LCommercializing Science and Technology Belegung eingeschränkt - Details anzeigen W3 KP2GJ. Thiel
KurzbeschreibungThis course aims to help students to better understand how to turn science and technology into new products or services and potentially into new businesses. A key element of this course is the practical application of knowledge (acquired through interactive discussions of course materials) to a field project in which students develop a business concept proposal for an early-stage technology.
LernzielMain Course Goals:

1 - To understand how science-based research and technological inventions can create value, either in the context of a start-up or in established companies
2 - To develop a solid understanding of the process of market opportunity identification and evaluation in the context of new technologies
3 - To practically apply your knowledge to an early-stage commercialization project
4 - To foster an entrepreneurial spirit

The knowledge you will acquire in this course will not only be useful if you consider starting an own technology business; it will also be valuable should you choose a career in managing technology in an established firm or within a public or private research lab. In all of these settings research and development efforts need to be legitimized and be able to answer to which extent and through what process they will ultimately create commercial or general societal impact—a central learning goal in this course.
InhaltThe course targets ETH students from different disciplines, with a strong interest in value creation. Students will work in small teams on a technology (either from an ETH lab, or prior study projects) and help build a roadmap of how to turn this technology into a value-creating product or service.

Key topics we will cover in this course:
1) Insights into the origin of entrepreneurial opportunities from scientific inventions: problem spaces and problem-solution sets
2) Entrepreneurial thinking and business logic: understanding competitive advantage, strategic positioning and value capture mechanism
3) Opportunity roadmaps: developing and evaluating market application portfolios under conditions of high uncertainty
4) Business case development: crafting compelling strategies for opportunity exploitation and gathering resources
5) Real-life cases of ETH inventions with commercialization potential

In and around ETHZ there is a vibrant support infrastructure for technology start-ups, so the most promising projects from this course will find ample opportunities to continue further development, either through additional courses, through direct coaching and mentoring from entrepreneurs in residence, or acceleration programs, like the ETH Pioneer Fellowship program.
Skriptslides, handouts
LiteraturPreparatory materials will consist of short articles, blog posts, videos, and the occasional academic article; they form the point of departure for class discussion and work on the projects.
Voraussetzungen / BesonderesThis course is open to ETH students at all levels and from all departments, including PhD students who do not belong to D-MTEC. No prior knowledge of business or economics is required to successfully complete this course. Students can join with and without project ideas.

Since much of the learning in this course occurs through engagement in discussion and with the field projects, intellectual curiosity, willingness to challenge and get challenged, as well as a sense of play will help contribute to a productive learning atmosphere.
363-1043-00LMarketing Analytics Belegung eingeschränkt - Details anzeigen W3 KP2SS. Tillmanns
KurzbeschreibungIn this class, students will use extensive customer data from an airline in order to develop prediction models for customer revenue, customer churn, and cross-buying. Students will work in groups and give a final presentation at the end of the class.
LernzielParticipants of this class will gain an understanding, how value can be generated out of customer data.
InhaltThe class will be held by Andrea Ferrario (Mobiliar Lab for Analytics/Chair of Technology Marketing) and Sebastian Tillmanns (Chair of Technology Marketing).
363-1117-00LFactory Planning and DesignW1 KP1GR. Binkert, T. Netland
KurzbeschreibungThe planning and design of factories and warehouses is a central activity for any manufacturer and logistics service provider. A factory is much more than just a building or a working space. Factory planning and design is a strategic task that will have a long-lasting effect on a business’ ability to create value. Many aspects must be carefully considered.
LernzielAfter completing this course:
1. Students will be able to participate in projects for factory planning and design.
2. Students can identify the issues and difficulties which may emerge in factory planning and design.
3. Students can explain and apply the methods to plan and design a factory.
4. Students can differentiate the various technologies of materials handling systems.
5. Students can outline the basic factors to be considered when planning a new factory.
6. Students have a basic understanding of the tasks and how to face them when a new factory and its systems are being built and put into operation.
363-1114-00LIntroduction to Risk Modelling and ManagementW3 KP2VB. J. Bergmann
KurzbeschreibungThis course provides in introduction to various aspects of dealing and managing risk across different industries, contexts and applications. Classes will alternate between invited industry speakers and risk professionals (CROs), lectures and scheduled group meetings.
LernzielStudents get familiar with different approaches to modelling and dealing with different kind of risks in different industries and get to understand the relation to the decision-making process in business and the value chain of a company. Four phases will be explored: risk assessment and modelling, communication, management and the market for risk. After taking this course, students should be able to demonstrate that they can identify and formulate a risk analysis problem with quantitative methods in a particular field. Cases range from energy market risk, risk engineering, climate risk, financial market risk, operational risk, cyber risk and more. An additional emphasis will be on the data-driven approach to smart algorithms applied to risk modelling and management.
363-1115-00LEnergy Innovation and Management Belegung eingeschränkt - Details anzeigen W3 KP2VA. Stephan
KurzbeschreibungThis lecture explores managerial/organizational aspects in the energy sector during the transition towards a low-carbon energy system. Fundamental changes such as more decentralized energy production or new technologies challenge the existing business models of organizations such as utilities or technology provides. Hence, a particular focus of this lecture is on innovations.
LernzielThis lecture aims to equip students with the basics of managerial/organizational aspects in the energy sector, with a particular focus on energy innovations.
InhaltThis lecture explores managerial/organizational aspects in the energy sector during the transition towards a low-carbon energy system. Fundamental changes such as more decentralized energy production or new technologies challenge the existing business models of organizations such as utilities or technology provides. Hence, a particular focus of this lecture is on innovations. During this lecture, students will learn about aspects such as the financial valuation of investment decisions, technology innovation management, and strategic decision making in the energy sector – guided by questions like “how does the energy industry change and why” or “how would you make the decision if you were the head of a utility”. Besides traditional teaching, this lecture consists of interactive case studies and games.
363-1116-00LClimate FinanceW3 KP2GV. Stolbova
KurzbeschreibungThe course will focus on understanding the impact of climate on the financial system, as well as how financial actors contribute to the transition to a low-carbon economy.
LernzielThe objectives of this course are threefold. First, it aims to provide participants with an overview of the state-of-the-art situation in matters of the impact of climate on finance and the impact of finance on the environment. Second, it introduces current challenges in the fields of sustainable finance, environmental finance and climate finance, and familiarizes participants with existing methods to solve these challenges. Third, it equips participants with knowledge and tools in climate-finance data analysis which could be applied to the real-world cases by calculating climate-related risks and gains for specific market players.
InhaltIt is comprised of three parts:

The first part will give an overview of the relation between finance and climate. It will start with an introduction of the nature of climate change phenomenon and its financial implications. Several types of climate-related financial risks will be considered including physical risks of climate change (financial risks associated with natural disasters), and transition risks (associated with transition to a low-carbon economy, climate policies and regulations, stranded assets). In addition, risks and opportunities associated with the transition to a low-carbon economy will be discussed for institutional sectors (banks, investment funds, pension funds and insurance sector), individual market players, and the real economy.

The second part will allow the participants to acquire knowledge of existing methods and tools in financial climate-related risk assessment including both state-of-the-art academic research methods and current industry practices. It will also discuss instruments available to market players for financing the transition to a low-carbon economy (e.g. green bonds, climate funds, concessional loans) and existing measures of assessing environmental impact of investments. Participants of the course will have an opportunity to apply these methods to real-case portfolios of selected market players.

The third part will address economic and financial effects of climate policies and environmental regulations. It will start with an overview of implemented and widely debated climate policies. Then, it will discuss existing models for development of economic sectors considering various climate policies and greenhouse gas (GHG) emissions targets. Finally, the course will address the impact of climate policies on financial institutions, real economy, individual investors, and provide main arguments on the heated debate on “winners and losers” on the way to decarbonization.
LiteraturThe main reference of the course is the set of lecture notes; students will also be encouraged to read some influential books and academic articles dealing with the issues under study:
[1] “Environmental finance: A guide to Environmental Risk Assessment and financial products”, Labatt, S. and White, R. 2002
[2] “Carbon Finance: the financial implications of climate change”, Labatt, S. and White, R., 2007
[3] “Handbook of environmental and sustainable finance”, Ramiah, V. and Gregoriou, G., 2015
[4] “Greening Economy, Graying Society”, Bretschger, L., CER-ETH Press, Zurich, 2018, 2nd edition
[5] “Natural Resource & Environmental Economics”, Perman, R., Ma, Y., McGilvray, J, Maddison, D., and Common, M., 4th edition, Longman, Essex, 2011
Additional literature:
[6] “Breaking the tragedy of the Horizon - climate change and financial stability”, Carney, M., 2015. Speech given at Lloyd's of London by the Governor of the Bank of England.

[7] “A climate stress-test of the financial system“, Battiston, S., Mandel, A., Monasterolo, I., Schutze, F., Visentin, G., 2017, Nature Clim. Change 7 (4), 283–288.

[8] “Vulnerable yet relevant: the two dimensions of climate-related financial disclosure”, Monasterolo, I., Battiston, S., Janetos, A., Zheng, Z., 2017, Clim. Chang. 145 (3-4), 495–507.

[9] “Rolling the “DICE”: an optimal transition path for controlling greenhouse gases”, Nordhaus, W.D., 1993. Resour. Energy Econ. 15 (1), 27–50

[10] “A Financial Macro-Network Approach to Climate Policy Evaluation”, Stolbova, V., Monasterolo, I., Battiston, S., Ecological Economics, 149, 2018, 239–253
363-1122-00LMarketing for Startups Belegung eingeschränkt - Details anzeigen
Number of participants limited to 40.
W3 KP2GA. Sethi
KurzbeschreibungThis elective is relevant if you’re planning to join or start a startup in the near future. It will help you recognise how value is created and captured. This includes go-to market, marketing & visibility across verticals & across the supply chain for sustained value capture & business model sustainability.

In short, it’s the journey of how to create a billion dollar startup.
LernzielStudents have formed teams and identified an idea or have a clear technology focus. They are now in the process of taking the first steps towards commercialisation.

1. Students want to become entrepreneurs
2. The students can be from business or science & technology
3. The course will enable the students to identify the relevance of seeing their technology or idea from the market relevance perspective and use this to drive revenue and relevance
4. The students will have exposure to investors and entrepreneurs (with a focus on ETH spin-offs) through the course, to gain insight to commercialise their idea
InhaltParticipants start from idea validation, team overview, technology and market size validation and assessment of market relevance, assessing time-to-market, customer focus, perceived value for customers, and finally, opportunities of maximising relevance of technology idea into sustained market traction.

The seminar comprises lectures, talks from invited investors / entrepreneurs regarding the importance of the various elements being covered in content, workshops and teamwork. There is a particular emphasis on market validation on each step of the journey, to ensure relevance.
Literatur“From Science to Startup” by A. Sethi
Voraussetzungen / BesonderesParticipants will be encouraged to participate in various startup competitions and early funding opportunities and provided the tools that may help them win. The course will help and guide them in doing this.