Suchergebnis: Katalogdaten im Frühjahrssemester 2017
|Management, Technologie und Ökonomie Master|
|General Management and Human Resource Management|
|363-0302-00L||Human Resource Management: Leading Teams |
Only for MTEC MAS students: Successful completion of this lecture is mandatory if you wish to enroll in the MAS MTEC course 365-1068-00 Case Studies in HRM Leading Teams in the following spring semester.
|W+||3 KP||2G||G. Grote|
|Kurzbeschreibung||The basic processes of human resource management are discussed (selection, reward systems, performance evaluation, career development) and embedded in the broader context of leadership in teams. Leadership concepts and group processes are presented. Practical instruments supporting leadership functions are introduced and applied in business settings.|
|Lernziel||The basic processes of human resource management are discussed (selection, reward systems, performance evaluation, career development) and embedded in the broader context of leadership in teams. Leadership concepts and group processes are presented. Practical instruments supporting leadership functions are introduced and applied in business settings.|
|363-1039-00L||Introduction to Negotiation||W+||3 KP||2G||M. Ambühl|
|Kurzbeschreibung||The course combines different lecture formats to provide students with both the theoretical background and the practical appreciation of negotiation. A core element of the course is an introduction to the concept of negotiation engineering.|
|Lernziel||Students learn to understand and to identify different negotiation situations, analyze specific cases, and discuss respective negotiation approaches based on important negotiation methods (i.a. Game Theory, Harvard Method).|
|Inhalt||The course combines different lecture formats to provide students with both the theoretical background and the practical appreciation of negotiation. A core element is an introduction to the concept of negotiation engineering. The course covers a brief overview of different negotiation approaches, different categories of negotiations, selected negotiation models, as well as in-depth discussions of real-world case studies on international negotiations involving Switzerland. Students learn to deconstruct specific negotiation situations, to differentiate key aspects and to develop and apply a suitable negotiation approach based on important negotiation methods.|
|Literatur||The list of relevant references will be distributed in the beginning of the course.|
|Strategy, Technology and Innovation Management|
|363-0392-00L||Strategic Management |
Number of participants limited to 80.
Registration through myStudies (first come, first served). If you are unable to sign up through myStudies, please contact the course assistant:
|W+||3 KP||2G||S. Herting|
|Kurzbeschreibung||This courses conveys concepts and methods in strategic management, with a focus on competitive strategy. Competitive strategy aims at improving and establishing position of firms within an industry.|
|Lernziel||The lecture "strategic management" is designed to teach relevant competences in strategic planning and -implementation, for both professional work-life and further scientific development. The course provides an overview of the basics of “strategy” and the most prevalent concepts and methods in strategic management. The course is given as a combination of lectures about concepts/methods, and case studies where the students asked to solve strategic issues of the case companies. In two sessions, the students will also be addressing real-time strategic issues of firms that are represented by executives.|
a. Introduction to strategy
b. Industry dynamics I: Industry analysis
c. Industry dynamics II: Analysis of technology and innovation
d. The resource-based theory of the firm
e. The knowledge-based theory of the firm
|Voraussetzungen / Besonderes||Session #0: (27.02.2017) Introductory Guest Lecture & Organizational Issues|
Session #1: (06.03.2017) Introduction & How to Solve a Case
Session #2: (13.03.2017) Industry Dynamics I
Session #3: (27.03.2017) Industry Dynamics II
Session #4: (03.04.2017) Resource-Based Theory
Session #5: (10.04.2017) Knowledge-based Theory
Session #6: (08.05.2017) Guest Lecture I
Session #7: (15.05.2017) Guest Lecture II
Please NOTE: The dates of the guest lectures subject to change due to availability of the guest lecturers. The final schedule will be provided in the first session.
|Information Management, Operations Management|
|363-1077-00L||Entrepreneurship||W+||3 KP||2G||B. Clarysse|
|Kurzbeschreibung||The entrepreneurship course offers an introduction into the various elements important to start an innovative business. These are: insights into how technology start-ups differ from regular start-ups, assessing opportunities, protecting one's idea and technology, market testing and feedback, raising investment and deal evaluation, use of novel financing sources, development of term sheets.|
|Lernziel||This course enables to understand:|
Technology Start-ups and their life cycles
The concept of a commercializing a technology
Entrepreneurial market research
How to rease mony
How to get your idea financed
How to deal with investors
|Inhalt||The course consists of 7 sessions of 4 hours, every other week. The content covers diverse elements of starting a business. More specifically, following topics are covered: |
In session 1, we discuss how technologies lead to disruption and might form new industries such as driverless cars, mobile health, internet of things, ...We analyse why it takes so long for technologies to morph into products and question how to deal with this as an entrepreneur. Guest speakers from the McKinsey Venture Challenge Competition present themselves and their previous winners.
Session 2 introduces a methodology to develop value propositions for 'grand challenges'. You are expected to read these challenges and discuss them in groups of 4-5 students. In the second half of the session we organize a guest speaker event with Venture Kick and CTI during which technology entrepreneurs present how they have started and grown their businesses.
In Session 3, we analyse how you can protect your idea through copyrights, trademarks, design rights and various form of patents; Not the technicality but the use of these patents and IP rights is the central element of discussion. At the end of the session, a guest speaker from London's Deep Science Accelerator will come to present the initiative and how they deal with IP.
Session 4 introduces the business aspect of value chains, value networks, ecosystems and commercial strategies. Using case studies, you will analyse the importance of value chains in combination with the protection forms that you discussed in the previous section.
In Session 5, we analyse how to prototype, test the market, use market feedback to back up your prototyping session. In addition to various forms of prototyping, you will have an overview of how the use of such prototyping can help you avoid major losses. Mini-cases are used to provide examples.
Session 6 introduces you in the world of raising capital. You get an overview of the various sources of capital including business angels, accelerators, crowd funding, venture capital and corporate capital and you will see how a term sheet is formed. Guest speakers from the financing industry will answer your questions with regards to getting finance.
Session 7 includes a negotiation game. You have to prepare for this session by making a due diligence of a business plan (in teams of 2). Half of you will be assigned a role as investor, half of you get a role as entrepreneur. You will need to prepare a 2' pitch where you present your changes to the business plan as entrepreneur or your expected changes as investors after which you have to look for your favorite entrepreneurial team or investor team and negotiate the term sheet.
Each of the sessions includes a mix of theory (usually 2 hours), case study/exercise work (usually 1 hour) and guest presentations (usually 1 hour). Some of these guest presentations are in collaboration with Venture Kick and/or the Venture Challenge Competition and are followed by a possibility to network afterwards (including an Apéro). The course is an excellent introduction to 'do it yourself courses' such as High Tech Start-Up Management.
|Skript||Powerpoint slides are provided ahead of each session and provide together with Clarysse and Kiefer (2011) the core course material. Guest speaker slides will be provided ahead of the sessions as well and also should be seen as core material. |
In addition to the slides and handbook, most sessions have case material (uploaded ahead of the course and to be read BEFORE the lecture in which the case will be discussed). Video material is for illustration purposes only and need not to be viewed ahead of the session nor is part of the core course material.
|Literatur||Clarysse, B. & S. Kiefer The Smart Entrepreneur (Elliott & Thompson, 2011) is used as reference material.|
|Voraussetzungen / Besonderes||No special background is needed.|
|Quantitative and Qualitative Methods|
|363-0570-00L||Principles of Econometrics|
Voraussetzung: Vorkenntnisse in Ökonomie erforderlich.
|W+||3 KP||2G||J.‑E. Sturm, S. Pichler|
|Kurzbeschreibung||This econometrics course focuses on regression analysis. It covers fundamental methods of cross-sectional, time series, and panel data analysis.|
|Lernziel||This course provides an introduction to fundamental econometric methods. An equal emphasis is placed both on theoretical understanding and on applying methods to real-world problems.|
|Inhalt||This course is intended for students who are interested in econometrics and have already taken introductory course in economics (e.g. the course "Principles of Macroeconomics". Econometrics stands for the application of some specific statistical methods to the field of economics. In econometrics, the starting point is a theoretical model explaining some aspect of the economy. This model is compared with the available statistical facts about the economy. Econometrics uses statistical tests to tackle various questions, including: How well or badly does the model fit the observed facts? Does any other available model fit them any better? In any model, how large is the estimate of the effects of one variable on any other, and how reliable is the estimate? How far into the future, and with what degree of reliability, can the model predict any variable of interest?|
|Literatur||Wooldridge, Jeffrey M. (2016), Introductory Econometrics : A Modern Approach, 6th Edition. ISBN 130527010X | 9781305270107|
|363-0515-00L||Decisions and Markets||W+||3 KP||2V||D. Harenberg|
|Kurzbeschreibung||This course provides an introduction to microeconomics. The course is open to students who have completed an undergraduate course in economics principles and an undergraduate course in multivariate calculus. The course emphasizes the conceptual foundations of microeconomics and contains concrete examples of their application.|
|Lernziel||Microeconomics is an element of nearly every subfield in economic analysis today. Model building in economics relies on a number of fundamental frameworks, many of which are introduced for the first time in intermediate microeconomics. |
The purpose of this course is to provide MTEC master students with an introduction to graduate-level microeconomics, particularly for students considering further graduate work in economics, business administration or management science. The course provides the fundamental concepts and tools for graduate courses in economics offered at ETH and UZH.
|Inhalt||The lectures will cover consumer choice, producer theory, markets and market failure. The course will include concrete examples of the use of choice theory in applied economics.|
|Skript||The course is mostly based on the textbook by R. Serrano and A. Feldman: "A short Course in Intermediate Economics with Calculus" (Cambridge University Press, 2013)|
Another textbook of interest is "Intermediate Microeconomics: A Modern Approach" by H. Varian (Norton, 2009).
|Literatur||Exercises are available in the textbook by R. Serrano and A. Feldman on which the lecture is based ("A short Course in Intermediate Economics with Calculus", Cambridge University Press, 2013).|
More exercises can be found in the book "Workouts in Intermediate Microeconomics" by T. Bergstrom and H. Varian (Norton, 2010).
|363-0575-00L||Economic Growth, Cycles and Policy||W+||3 KP||2G||H. Gersbach|
|Kurzbeschreibung||This intermediate macroeconomics course focuses on topics in macroeconomics and monetary economics, like economic growth, financial markets and expectations, the goods market in an open economy, monetary policy, and fiscal policy.|
|Lernziel||Students obtain a deeper understanding of some important macroeconomic issues.|
|Inhalt||This intermediate macroeconomics course focuses on topics in macroeconomics and monetary economics, like economic growth, financial markets and expectations, the goods market in an open economy, monetary policy, and fiscal policy.|
|Skript||Copies of the slides will be made available.|
Manfred Gärtner (2009), Macroeconomics, Third Edition, Prentice Hall.
and selected chapters in other books and/or papers
|Voraussetzungen / Besonderes||It is required that participants have attended the lecture "Principles of Macroeconomics" (351-0565-00L).|
|363-0560-00L||Financial Management||W+||3 KP||2V||J.‑P. Chardonnens|
|Kurzbeschreibung||Finanzziele, Gewinnkraft und Kapitalnutzung, Liquidität, Cash Planung, Geldflussrechnung, Bilanzanalyse und -planung, Unternehmungsfinanzierung, Eigen- und Fremdfinanzierung, Kapitalkosten, optimale Kapitalstruktur, Investitionsrechnung, Unternehmungsbewertung, Firmenübernahme und -restrukturierung.|
|Lernziel||- Grundsätze der finanzielle Führung von Unternehmungen verstehen|
- Denken im finanzwirtschaftlichen Umfeld fördern
- Instrumente und Methoden des Finanzmanagements beherrschen
|Inhalt||- Finanzziele und -berichte, wertorientiertes Management|
- Management der Gewinnkraft und der Kapitalnutzung
- Liquidität, Umlaufvermögen, Cash Planung, Geldflussrechnung,
- Bilanzanalyse und -planung
- Unternehmungsfinanzierung, Eigen- und Fremdkapitalfinanzierung
- Optimale Kapitalstruktur, finanzielle Hebelwirkung, Kapitalkosten,
- Unternehmungsbewertung, Firmenübernahme
- Sanierung und Restrukturierung
|Voraussetzungen / Besonderes||Voraussetzung : Kenntnisse in Rechnungswesen (Accounting for Managers)|
|363-0404-00L||Industry and Competitive Analysis |
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.
|W||3 KP||2G||V. He|
|Kurzbeschreibung||Industry 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.|
|Lernziel||Students 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.
|Inhalt||Industry 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.|
|Literatur||Session 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 / Besonderes||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. Exchange students may register by sending an e-mail to Christian Wedl (email@example.com), 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.
|363-0448-00L||Global Operations Strategy||W||3 KP||3G||T. Netland, R. Binkert, P. Schönsleben|
|Kurzbeschreibung||This course provides students who aim to work in globally operating companies a theoretical fundament on strategic configuration and coordination of global production networks.|
|Lernziel||This course focuses on global operations strategy. Students get familiar with designing, managing, and improving global factory networks. It covers topics such as corporate lean programs, capacity management, factory planning, network design, outsourcing, and offshoring.|
|Inhalt||This course covers factory- and network design, managing global operations, and corporate improvement programs.|
|Skript||To be announced|
|Literatur||To be announced|
|Voraussetzungen / Besonderes||Requirements: Preferably the course 363-0445-00L Production and Operations Management|
|363-0452-00L||Purchasing and Supply Management||W||3 KP||2G||S. Wagner|
|Kurzbeschreibung||Based 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.|
|Lernziel||Students will acquire skills and tools which are valuable for designing and implementing purchasing and supplier strategies.|
|Inhalt||The 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.|
|Skript||Will be available for download from the homepage of the Chair of Logistics Management (www.scm.ethz.ch).|
|Literatur||The 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 / Besonderes||The final course grade will be a weighted average of the following:|
Written test: 70%
Case studies (during the semester): 30%
Class participation: Up to 10% extra credit.
|363-0514-00L||Energy 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.
|W||3 KP||2G||M. Filippini|
|Kurzbeschreibung||An 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 failures and energy policy, market-based and non-market based instruments, demand side management and regulation of energy industries.|
|Lernziel||The 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, energy policy instruments, investments in power plants and in energy efficiency technologies and the reform of the electric power sector.|
|Inhalt||The course provides an introduction to energy economics principles and policy applications. The core topics are|
-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
-Demand side management
-Regulation of energy industries
|Literatur||- Joanne Evans (Editor) and Lester C. Hunt (Editor), 2009, International Handbook on the Economics of Energy, Edward Elgar Publishing.|
- Bhattacharyya, Subhes C., Energy Economics, 2011, Energy Economics Concepts, Issues, Markets and Governance, 1st Edition, Springer.
|Voraussetzungen / Besonderes||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.|
|363-0543-00L||Agent-Based Modelling of Social Systems |
Findet dieses Semester nicht statt.
|W||3 KP||2V + 1U||F. Schweitzer|
|Kurzbeschreibung||Agent-based modelling is introduced as a bottom-up approach to understand the dynamics of complex social systems. The course focuses on agents as the fundamental constituents of a system and their theoretical formalisation and on quantitative analysis of a wide range of social phenomena-cooperation and competition, opinion dynamics, spatial interactions and behaviour in online social networks.|
|Lernziel||A successful participant of this course is able to|
- understand the rationale of agent-centered models of social systems
- understand the relation between rules implemented at the individual level and the emerging behaviour at the global level
- learn to choose appropriate model classes to characterise different social systems
- grasp the influence of agent heterogeneity on the model output
- efficiently implement agent-based models using Python and visualise the output
|Inhalt||Agent-based modelling (ABM) provides a bottom-up approach to understand the complex dynamics of social systems. In ABM, agents are the basic constituents of any social system. Depending on the granularity of the analysis, an agent could represent a single individual, a household, a firm, a country, etc. Agents have 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. As more and more accurate individual-level data about online and offline social systems become available, our formal, quantitative understanding of the collective dynamics of these systems needs to progress in the same manner. |
We focus on a minimalistic description of the agents' behaviour which relates individual interaction rules to the dynamics on the collective level and complements engineering and machine learning approaches.
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 modelling, weekly exercise classes provide practical skills. Using the Python programming language, the participants implement agent-based models in guided and autonomous projects, which they present and jointly discuss.
|Skript||The lecture slides will be available on the Moodle platform, for registered students only.|
|Literatur||See handouts. Specific literature is provided for download, for registered students only.|
|Voraussetzungen / Besonderes||Participants of the course should have some background in mathematics and an interest in formal modelling and 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 student.
During the second half of the semester, teams need to complete a course project in which they will implement and discuss an agent-based model to characterise a system chosen jointly with the course organisers. This project will be evaluated, and its grade will count as 25% of the final grade.
|363-0552-00L||Economic Growth and Resource Use||W||3 KP||2G||A. Schäfer|
|Kurzbeschreibung||The lecture focuses on the economics of non-renewable resources and deals with the main economic issues regarding such commodities.|
|Lernziel||The objective of the lecture is to make students familiar with the main topics in the economics of non-renewable natural resources so that they become able to autonomously read much of the academic literature on the issue. The economics of natural resources adds an intertemporal dimension to the classical static theory. The analyses provided in the lecture will use basic dynamic optimization tools; students are also expected to develop or consolidate their related technical skills.|
|Inhalt||The lecture focuses on the economics of non-renewable resources and deals with the main economic issues regarding such commodities. Two peculiarities of natural resources make them interesting economic objects. The intertemporal dimension of resource exploitation is absent in standard static treatments of classical economic theory. The non-renewability of natural resources further implies long-term supply limitations, unlike conventional goods that are indefinitely reproducible. Because of those peculiarities, many well-known economic results do not apply to the case of resources.|
As it is appropriate in most chapters, priority will be given to a synthetic partial equilibrium setting. Elementary knowledge of microeconomics (like what is provided by H. Varian, Intermediate Microeconomics) is considered as a prerequisite. Moreover, an introduction to standard partial equilibrium analysis will be provided at the beginning of the lecture. General equilibrium effects should be introduced as they become crucial, as will be the case in the chapters on the interplay between economic growth and resource depletion.
The questions addressed in the lecture will be the following ones:
The intertemporal theory of non-renewable resource supply; the dynamic market equilibrium allocation; the exploration and development of exploitable reserves; the heterogenous quality of resource deposits; pollution and other externalities arising from the use of fossil fuels; the exercise of market power by resource suppliers and market structures; socially optimum extraction patterns and sustainability; the taxation of non-renewable resources; the international strategic dimension of resource taxation; the uncertainty about future reserves and market conditions; economic growth, resource limitations, and the innovation process...
|Skript||Lecture Notes of the course will be sent by email to officially subscribed students.|
|Literatur||The 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 / Besonderes||Elementary knowledge of microeconomics (like what is provided by H. Varian, Intermediate Microeconomics) is considered as a prerequisite.|
|363-0558-00L||Strategic and Cooperative Thinking|
Vorgängiger Besuch der Lerneinheit 363-0503-00L Principles of Microeconomics wird empfohlen.
|W||3 KP||2G||O. Tejada Pinyol|
|Kurzbeschreibung||Noncooperative and Cooperative Game Theory, concepts and applications|
|Lernziel||The 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.
|Inhalt||Part 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.
|Skript||For inquiries and questions regarding the course organization please send an email to Dr. Oriol Tejada (firstname.lastname@example.org).|
|Literatur||Davis (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 / Besonderes||The lecture will be in English.|
|363-0564-00L||Entrepreneurial Risks||W||3 KP||2G||D. 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
|Lernziel||We 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.
|Inhalt||This 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
-power laws and beyond
-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
-political, financial, economics, natural risks
-elements on theories of decision making
-Human cooperation and its lack thereof, mechanisms and design
|Skript||The lecture notes will be distributed a the beginning of |
|Literatur||I will use elements taken from my books |
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).
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.
|363-0584-00L||International Monetary Economics||W||3 KP||2V||J.‑E. Sturm, J. Kingeski Galimberti|
|Kurzbeschreibung||What 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.|
|Lernziel||The 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.|
|Skript||Lecture notes will be made available via Moodle.|
|Literatur||Krugman, Paul, Maurice Obstfeld and Marc Melitz (2014), International Economics, Theory and Policy, 10th Global Edition, Pearson Addison Wesley.|
|363-0586-00L||International Economics: Theory of New Trade and Multinational Firms||W||3 KP||2V||P. Egger, B. M. M. Zoller-Rydzek|
|Kurzbeschreibung||The primary goal of the course is to familiarize students with recent work in international economics.|
|Lernziel||The 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.|
|Literatur||Copies of the original articles and relevant chapters of books will be made available to participants of the course.|
|363-0588-00L||Complex Networks||W||4 KP||2V + 1U||I. Scholtes|
|Kurzbeschreibung||The 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
|Inhalt||Networks 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.
|Skript||The 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: https://moodle-app2.let.ethz.ch/course/view.php?id=2678
|Literatur||See handouts. Specific literature is provided for download - for registered students, only.|
|Voraussetzungen / Besonderes||There 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.|
|363-0792-00L||Knowledge Management||W||1 KP||2G||P. Wolf|
|Kurzbeschreibung||The 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.|
|Lernziel||The 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.
|Inhalt||The 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.
|Skript||None. Participants will be provided with slides before the course.|
|Literatur||Relevant literature (3-5 articles) will be send to the students at least four weeks before the course.|
|Voraussetzungen / Besonderes||There 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.|
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