Suchergebnis: Katalogdaten im Frühjahrssemester 2019

Management, Technologie und Ökonomie Master Information
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.
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