Search result: Catalogue data in Spring Semester 2019
Integrated Building Systems Master | ||||||
Main Courses | ||||||
Specialised Courses | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
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101-0579-00L | Infrastructure Management 2: Evaluation Tools | W | 4 credits | 2G | B. T. Adey, C. Richmond | |
Abstract | This course provides an introduction to the tools that can be used to evaluate infrastructure. In particular tools: - to measure the service being obtained from infrastructure, - to predict slow changes in infrastructure over time, and - to predict fast changes in infrastructure over time. | |||||
Objective | to equip students with tools to be used to evaluate infrastructure and the service being provided from infrastructure | |||||
Content | Introduction Service Reliability of infrastructure Availability and maintainability of infrastructure Mechanistic-empirical models Regression analysis Event trees Fault trees Markov chains Neural networks Bayesian networks Conclusion | |||||
Lecture notes | All necessary materials (e.g. transparencies and hand-outs) will be distributed before class. | |||||
Literature | Appropriate reading material will be assigned when necessary. | |||||
102-0516-01L | Environmental Impact Assessment | W | 3 credits | 2G | S.‑E. Rabe | |
Abstract | Focus of the course are the method, the process and content of the Environmental Impact Assessment (EIA) as well as the legal bases and methods for compiling an environmental impact study (EIS). Using examples, a comprehensive view of the EIA is made possible by means of excursions. In the frame of a project the process of am EIA will be workt out by the students. | |||||
Objective | - Understanding the context of spatial planning and environmental protection - Ability to use central planning instruments and procedures for assessing the environmental impacts and risks of projects - Ability to apply quantitative methods to assess the environmental impacts and risks of projects - Knowledge about the process and content of an EIA - a capacity for critical review of environmental impact assessments | |||||
Content | - Nominal and functional environmental protection in Switzerland - Instruments of environmental protection - Need for coordination between environmental protection and spatial planning - Environmental Protection and environmental impact assessment - Legal basis of the EIA - Procedure of EIA - Content of the EIA - Content and structure of the EIS - Application of the impact analysis - Monitoring and Controlling - View regarding the strategic environmental assessment (SEA) - Excursions projects obligated under the EEA | |||||
Lecture notes | No script. The documents for the lecture can be found for download on the homepage of the Chair of Planning of Landscape and Urban Systems. Download: Link | |||||
Literature | - Bundesamt für Umwelt 2009: UVP-Handbuch. Richtlinie des Bundes für die Umweltverträglichkeitsprüfung. Umwelt-Vollzug Nr. 0923, Bern. 156 S. - Leitfäden zur UVP (werden in der Vorlesung bekannt gegben) | |||||
Prerequisites / Notice | Additional information on mode of examination: No calculators allowed | |||||
103-0357-00L | Environmental Planning | W | 3 credits | 2G | S.‑E. Rabe, M. Sudau | |
Abstract | The lecture covers tools, methods and procedures of Landscape and Environmental Planning developed. By means of field trips their implementation will be illustrated. | |||||
Objective | Knowledge of the various instruments and possibilities for the practical implementation of environmental planning. Knowledge of the complex interactions of the instruments. | |||||
Content | - forest planning - inventories - Intervention and compensation - ecological network - agricultural policy - landscape development concepts (LEK) - parks - swiss concept of landscape - riverine zone - natural hazards - field trips | |||||
Lecture notes | - lecture notes concerning the instruments - Handouts - Copies of selected literature Download: Link | |||||
Prerequisites / Notice | Additional information on mode of examination: No calculators allowed | |||||
151-0102-00L | Fluid Dynamics I | W | 6 credits | 4V + 2U | A. A. Kubik | |
Abstract | An introduction to the physical and mathematical foundations of fluid dynamics is given. Topics include dimensional analysis, integral and differential conservation laws, inviscid and viscous flows, Navier-Stokes equations, boundary layers, turbulent pipe flow. Elementary solutions and examples are presented. | |||||
Objective | An introduction to the physical and mathematical principles of fluid dynamics. Fundamental terminology/principles and their application to simple problems. | |||||
Content | Phenomena, applications, foundations dimensional analysis and similitude; kinematic description; conservation laws (mass, momentum, energy), integral and differential formulation; inviscid flows: Euler equations, stream filament theory, Bernoulli equation; viscous flows: Navier-Stokes equations; boundary layers; turbulence | |||||
Lecture notes | Lecture notes (extended formulary) for the course are made available electronically. | |||||
Literature | Recommended book: Fluid Mechanics, Kundu & Cohen & Dowling, 6th ed., Academic Press / Elsevier (2015). | |||||
Prerequisites / Notice | Voraussetzungen: Physik, Analysis | |||||
151-0212-00L | Advanced CFD Methods | W | 4 credits | 2V + 1U | P. Jenny, D. W. Meyer-Massetti | |
Abstract | Fundamental and advanced numerical methods used in commercial and open-source CFD codes will be explained. The main focus is on numerical methods for conservation laws with discontinuities, which is relevant for trans- and hypersonic gas dynamics problems, but also CFD of incompressible flows, Direct Simulation Monte Carlo and the Lattice Boltzmann method are explained. | |||||
Objective | Knowing what's behind a state-of-the-art CFD code is not only important for developers, but also for users in order to choose the right methods and to achieve meaningful and accurate numerical results. Acquiring this knowledge is the main goal of this course. Established numerical methods to solve the incompressible and compressible Navier-Stokes equations are explained, whereas the focus lies on finite volume methods for compressible flow simulations. In that context, first the main theory and then numerical schemes related to hyperbolic conservation laws are explained, whereas not only examples from fluid mechanics, but also simpler, yet illustrative ones are considered (e.g. Burgers and traffic flow equations). In addition, two less commonly used yet powerful approaches, i.e., the Direct Simulation Monte Carlo (DSMC) and Lattice Boltzmann methods, are introduced. For most exercises a C++ code will have to be modified and applied. | |||||
Content | - Finite-difference vs. finite-element vs. finite-volume methods - Basic approach to simulate incompressible flows - Brief introduction to turbulence modeling - Theory and numerical methods for compressible flow simulations - Direct Simulation Monte Carlo (DSMC) - Lattice Boltzmann method | |||||
Lecture notes | Part of the course is based on the referenced books. In addition, the participants receive a manuscript and the slides. | |||||
Literature | "Computational Fluid Dynamics" by H. K. Versteeg and W. Malalasekera. "Finite Volume Methods for Hyperbolic Problems" by R. J. Leveque. | |||||
Prerequisites / Notice | Basic knowledge in - fluid dynamics - numerical mathematics - programming (programming language is not important, but C++ is of advantage) | |||||
151-0318-00L | Ecodesign - Environmental-Oriented Product Development | W | 4 credits | 3G | R. Züst | |
Abstract | Ecodesign has a great potential to improve the environmental performance of a product. Main topics of the lecture: Motivation for Ecodesign; Methodical basics (defining environmental aspects; improvement strageies and measures); Ecodesign implementation (systematic guidance on integrating environmental considerations into product development) in a small project. | |||||
Objective | Experience shows that a significant part of the environmental impact of a business venture is caused by its own products in the pre and post-production areas. The goal of eco design is to reduce the total effect of a product on the environment in all phases of product life. The systematic derivation of promising improvement measures at the start of the product development process is a key skill that will be taught in the lectures. The participants will discover the economic and ecological potential of ECODESIGN and acquire competence in determining goal-oriented and promising improvements and will be able to apply the knowledge acquired on practical examples. | |||||
Content | Die Vorlesung ist in drei Blöcke unterteilt. Hier sollen die jeweiligen Fragen beantwortet werden: A) Motivation und Einstieg ins Thema: Welche Material- und Energieflüsse werden durch Produkte über alle Lebensphasen, d.h. von der Rohstoffgewinnung, Herstellung, Distribution, Nutzung und Entsorgungen verursacht? Welchen Einfluss hat die Produktentwicklung auf diese Auswirkungen? B) Grundlagen zum ECODESIGN PILOT: Wie können systematisch – über alle Produktlebensphasen hinweg betrachtet – bereits zu Beginn der Produktentwicklung bedeutende Umweltauswirkungen erkannt werden? Wie können zielgerichtet diejenigen Ecodesign-Maßnahmen ermittelt werden, die das größte ökonomische und ökologische Verbesserungspotential beinhalten? C) Anwendung des ECODESIGN PILOT: Welche Produktlebensphasen bewirken den größten Ressourcenverbrauch? Welche Verbesserungsmöglichkeiten bewirken einen möglichst großen ökonomischen und ökologischen Nutzen? Im Rahmen der Vorlesung werden verschiedene Praktische Beispiel bearbeitet. | |||||
Lecture notes | Für den Einstieg ins Thema ECODESIGN wurde verschiedene Lehrunterlagen entwickelt, die im Kurs zur Verfügung stehen und teilwesie auch ein "distance learning" ermöglichen: Lehrbuch: Wimmer W., Züst R.: ECODESIGN PILOT, Produkt-Innovations-, Lern- und Optimierungs-Tool für umweltgerechte Produktgestaltung mit deutsch/englischer CD-ROM; Zürich, Verlag Industrielle Organisation, 2001. ISBN 3-85743-707-3 CD: im Lehrbuch inbegriffen (oder Teil "Anwenden" on-line via: Link) Internet: Link vermittelt verschiedene weitere Zugänge zum Thema. Zudem werden CD's abgegeben, auf denen weitere Lehrmodule vorhanden sind. | |||||
Literature | Hinweise auf Literaturen werden on-line zur Verfügung gestellt. | |||||
Prerequisites / Notice | Testatbedingungen: Abgabe von zwei Übungen | |||||
227-0216-00L | Control Systems II | W | 6 credits | 4G | R. Smith | |
Abstract | Introduction to basic and advanced concepts of modern feedback control. | |||||
Objective | Introduction to basic and advanced concepts of modern feedback control. | |||||
Content | This course is designed as a direct continuation of the course "Regelsysteme" (Control Systems). The primary goal is to further familiarize students with various dynamic phenomena and their implications for the analysis and design of feedback controllers. Simplifying assumptions on the underlying plant that were made in the course "Regelsysteme" are relaxed, and advanced concepts and techniques that allow the treatment of typical industrial control problems are presented. Topics include control of systems with multiple inputs and outputs, control of uncertain systems (robustness issues), limits of achievable performance, and controller implementation issues. | |||||
Lecture notes | The slides of the lecture are available to download. | |||||
Literature | Skogestad, Postlethwaite: Multivariable Feedback Control - Analysis and Design. Second Edition. John Wiley, 2005. | |||||
Prerequisites / Notice | Prerequisites: Control Systems or equivalent | |||||
151-0660-00L | Model Predictive Control | W | 4 credits | 2V + 1U | M. Zeilinger | |
Abstract | Model predictive control is a flexible paradigm that defines the control law as an optimization problem, enabling the specification of time-domain objectives, high performance control of complex multivariable systems and the ability to explicitly enforce constraints on system behavior. This course provides an introduction to the theory and practice of MPC and covers advanced topics. | |||||
Objective | Design and implement Model Predictive Controllers (MPC) for various system classes to provide high performance controllers with desired properties (stability, tracking, robustness,..) for constrained systems. | |||||
Content | - Review of required optimal control theory - Basics on optimization - Receding-horizon control (MPC) for constrained linear systems - Theoretical properties of MPC: Constraint satisfaction and stability - Computation: Explicit and online MPC - Practical issues: Tracking and offset-free control of constrained systems, soft constraints - Robust MPC: Robust constraint satisfaction - Nonlinear MPC: Theory and computation - Hybrid MPC: Modeling hybrid systems and logic, mixed-integer optimization - Simulation-based project providing practical experience with MPC | |||||
Lecture notes | Script / lecture notes will be provided. | |||||
Prerequisites / Notice | One semester course on automatic control, Matlab, linear algebra. Courses on signals and systems and system modeling are recommended. Important concepts to start the course: State-space modeling, basic concepts of stability, linear quadratic regulation / unconstrained optimal control. Expected student activities: Participation in lectures, exercises and course project; homework (~2hrs/week). | |||||
227-0478-00L | Acoustics II | W | 6 credits | 4G | K. Heutschi | |
Abstract | Advanced knowledge of the functioning and application of electro-acoustic transducers. | |||||
Objective | Advanced knowledge of the functioning and application of electro-acoustic transducers. | |||||
Content | Electrical, mechanical and acoustical analogies. Transducers, microphones and loudspeakers, acoustics of musical instruments, sound recording, sound reproduction, digital audio. | |||||
Lecture notes | available | |||||
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 credits | 2G | M. Filippini | |
Abstract | 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 and behavioral failures and energy policy, market-based and non-market based instruments and regulation of energy industries. | |||||
Objective | 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, behavioral economics, energy policy instruments, investments in power plants and in energy efficiency technologies and the reform of the electric power sector. | |||||
Content | The course provides an introduction to energy economics principles and policy applications. The core topics are -Demand analysis -Behavioral analysis of the energy sector -Economic analysis of energy investments and cost analysis -Economics of fossil fuels -Economics of electricity -Economics of renewable energies -Market failures and energy policy -Market oriented and non-market oriented instruments -Regulation of energy industries | |||||
Prerequisites / Notice | 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. | |||||
363-1000-00L | Financial Economics | W | 3 credits | 2V | A. Bommier | |
Abstract | This is a theoretical course on the economics of financial decision making, at the crossroads between Microeconomics and Finance. It discusses portfolio choice theory, risk sharing, market equilibrium and asset pricing. | |||||
Objective | The objective is to make students familiar with the economics of financial decision making and develop their intuition regarding the determination of asset prices, the notions of optimal risk sharing. However this is not a practical formation for traders. Moreover, the lecture doesn't cover topics such as market irrationality or systemic risk. | |||||
Content | The following topics will be discussed: Introduction to finance and investment planning; Option valuation; Arbitrage; Choice under uncertainty; Portfolio Choice; Risk sharing and insurance; Market equilibrium under symmetric information. | |||||
Literature | Suggesting readings: 1) "Investments", by Z. Bodie, A. Kane and A. Marcus, for the introductory part of the course (see chapters 20 and 21 in particular). 2) "Finance and the Economics of Uncertainty" by G. Demange and G. Laroque, Blackwell, 2006. 3) "The Economics of Risk and Time", by C. Gollier, and Other readings: - "Intermediate Financial Theory" by J.-P. Danthine and J.B. Donaldson. - Ingersoll, J., E., Theory of Financial Decision Making, Rowman and Littlefield Publishers. - Leroy S and J. Werner, Principles of Financial Economics, Cambridge University Press, 2001 | |||||
Prerequisites / Notice | Basic mathematical skills needed (calculus, linear algebra, convex analysis). Students must be able to solve simple optimization problems (e.g. Lagrangian methods). Some knowledge in microeconomics would help but is not compulsory. The bases will be covered in class. | |||||
402-0812-00L | Computational Statistical Physics | W | 8 credits | 2V + 2U | L. Böttcher | |
Abstract | Computer simulation methods in statistical physics. Classical Monte-Carlo-simulations: finite-size scaling, cluster algorithms, histogram-methods, renormalization group. Application to Boltzmann machines. Simulation of non-equilibrium systems. Molecular dynamics simulations: long range interactions, Ewald summation, discrete elements, parallelization. | |||||
Objective | The lecture will give a deeper insight into computer simulation methods in statistical physics. Thus, it is an ideal continuation of the lecture "Introduction to Computational Physics" of the autumn semester. In the first part students learn to apply the following methods: Classical Monte Carlo-simulations, finite-size scaling, cluster algorithms, histogram-methods, renormalization group. Moreover, students learn about the application of statistical physics methods to Boltzmann machines and how to simulate non-equilibrium systems. In the second part, students apply molecular dynamics simulation methods. This part includes long range interactions, Ewald summation and discrete elements. | |||||
Content | Computer simulation methods in statistical physics. Classical Monte-Carlo-simulations: finite-size scaling, cluster algorithms, histogram-methods, renormalization group. Application to Boltzmann machines. Simulation of non-equilibrium systems. Molecular dynamics simulations: long range interactions, Ewald summation, discrete elements, parallelization. | |||||
Lecture notes | Lecture notes and slides are available online and will be distributed if desired. | |||||
Literature | Literature recommendations and references are included in the lecture notes. | |||||
Prerequisites / Notice | Some basic knowledge about statistical physics, classical mechanics and computational methods is recommended. | |||||
529-0191-01L | Renewable Energy Technologies II, Energy Storage and Conversion The lectures Renewable Energy Technologies I (529-0193-00L) and Renewable Energy Technologies II (529-0191-01L) can be taken independently from one another. | W | 4 credits | 3G | T. Schmidt, L. Gubler | |
Abstract | Global & Swiss energy system. Storage: Pumped water, flywheels, compressed air. Hydrogen as energy carrier; electrolysis; power-to-gas. Fuel cells: from fundamentals to systems; Fuel cell vehicles; electrochemical storage in batteries. supercapacitors and redox flow cells; electromobility. The main focus of the lecture will be on electrochemical energy conversion and storage. | |||||
Objective | Students will recognize the importance of energy storage in an industrial energy system, specifically in the context of a future system based on renewable sources. The efficient generation of electricity from hydrogen in fuel cells, and the efficient energy storage in batteries and supercapacitors will be introduced. Students will get a detailed insight into electrochemical energy conversion and storage, which will play an important role in future energy systems. | |||||
Literature | - Tester, J.W., Drake, E.M., Golay, M.W., Driscoll, M.J., Peters, W.A.: Sustainable Energy - Choosing Among Options (MIT Press, 2005). - C.H. Hamann, A. Hamnett, W. Vielstich; Electrochemistry, Wiley-VCH (2007). - K. Krischer, K. Schönleber: Physiccs of Energy Conversion, De Gruyter (2015) - R. Schlögl, Chemical Energy Storage, De Gruyter (2013) | |||||
Prerequisites / Notice | Please note that this is a 3 hours/week lecture including exercises, i.e., exercises will be included and are not separated. It is therefore highly recommended to attend the full 3 hours every week. Participating students are required to have basic knowlegde of chemistry and thermodynamics. | |||||
101-0178-01L | Uncertainty Quantification in Engineering | W | 3 credits | 2G | B. Sudret, S. Marelli | |
Abstract | Uncertainty quantification aims at studying the impact of aleatory and epistemic uncertainty onto computational models used in science and engineering. The course introduces the basic concepts of uncertainty quantification: probabilistic modelling of data (copula theory), uncertainty propagation techniques (Monte Carlo simulation, polynomial chaos expansions), and sensitivity analysis. | |||||
Objective | After this course students will be able to properly pose an uncertainty quantification problem, select the appropriate computational methods and interpret the results in meaningful statements for field scientists, engineers and decision makers. The course is suitable for any master/Ph.D. student in engineering or natural sciences, physics, mathematics, computer science with a basic knowledge in probability theory. | |||||
Content | The course introduces uncertainty quantification through a set of practical case studies that come from civil, mechanical, nuclear and electrical engineering, from which a general framework is introduced. The course in then divided into three blocks: probabilistic modelling (introduction to copula theory), uncertainty propagation (Monte Carlo simulation and polynomial chaos expansions) and sensitivity analysis (correlation measures, Sobol' indices). Each block contains lectures and tutorials using Matlab and the in-house software UQLab (Link). | |||||
Lecture notes | Detailed slides are provided for each lecture. A printed script gathering all the lecture slides may be bought at the beginning of the semester. | |||||
Prerequisites / Notice | A basic background in probability theory and statistics (bachelor level) is required. A summary of useful notions will be handed out at the beginning of the course. A good knowledge of Matlab is required to participate in the tutorials and for the mini-project. | |||||
363-1038-00L | Sustainability Start-Up Seminar Number of participants limited to 30. | W | 3 credits | 2G | A.‑K. Zobel | |
Abstract | Experts 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. | |||||
Objective | 1. 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 | |||||
Content | This 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 . | |||||
Lecture notes | All material will be made available to the participants. | |||||
Prerequisites / Notice | Prerequisite: Interest in sustainability & entrepreneurship. Notes: 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. | |||||
052-0568-19L | Room Acoustics | W | 2 credits | 2G | K. Eggenschwiler | |
Abstract | Influence of form and material on speech and music within spaces. Special requirements of acoustically sensitive spaces such as school rooms, music rooms, theaters, concert halls, opera buildings and churches (historical and modern buildings). Scientific ways of calculating and assessing acoustics. Basic introduction to sound systems for speech. | |||||
Objective | The students learn to recognise the importance of acoustic factors and to design spaces with appropriate acoustical properties. | |||||
Content | We will begin by focusing on the acoustic dimension of space without excluding the other non-auditory senses. Following this, the influence of form and material on hearing and the characteristics of the spoken word and music within spaces will be explored by means of examples and with the aid of the special instruments of acoustic science. We will then discuss the special requirements of acoustically sensitive spaces such as school rooms, music rooms, theaters, concert halls, opera buildings, and churches. This study takes the form of both theory, and real examples of historical and modern buildings. Scientific ways of calculating and assessing acoustics is presented and a basic introduction to the sound system design for speech is made. | |||||
Lecture notes | Script in German | |||||
052-0624-19L | Information Architecture and Future Cities: Responsive Cities Number of participants limited to 40. | W | 2 credits | 1V | G. Schmitt | |
Abstract | Cities become first smart and then responsive. The Responsive City we present and explore in this course builds on Smart City technology, but places the human in the centre of decision-making, design, and management of the city. Responsive Cities are about bringing cities back to their citizens. | |||||
Objective | Students gain insight into the next generation of design processes for architects and urban designers, and into concepts of the Information Architecture of Responsive Cities. To describe the potential of Responsive Cities, we define the concepts of citizen-design science, complexity science, responsive livability, responsive governance, and responsive design and city planning. The course will run in parallel with the fourth edition of our MOOC on Responsive Cities. | |||||
Content | What will happen when cities change from static configurations into responsive and dynamic structures? How can citizens influence this development? The Responsive Cities course will answer these questions and supply you with the necessary skills and knowledge to understand and design such dynamic structures. Responsive Cities are about bringing cities back to their citizens. Rather than using data that are centrally collected and stored, you will see platforms on which the citizens place the data and the information they decide to share. | |||||
Lecture notes | The necessary texts will be found on the Chair's website at: Link. We specifically recommend the consultation of the Future Cities Website at: Link during the entire course. | |||||
Literature | The necessary texts will be found on the Chair's website at: Link. We specifically recommend the consultation of the Future Cities Website at: Link during the entire course. | |||||
Prerequisites / Notice | Interactive presence and telepresence course | |||||
363-1060-00L | Strategies for Sustainable Business Limited number of participants. Registration will only be effective once confirmed by email from the organizers. | W | 2 credits | 2S | J. Meuer | |
Abstract | In this course, students will learn to critically analyze strategies for sustainable business through exploring case studies on three main questions: 1. What is sustainability in business? 2. How do I design a sustainability strategy? 3. How do I implement a sustainability strategy? | |||||
Objective | After the course, you should be able to: 1. Understand and explain sustainability challenges companies are facing; 2. Critique sustainability and related strategies; 3. Evaluate decisions taken by managers; 4. Suggest alternative approaches; 5. Develop action plans; 6. Reflect on strategies for sustainability in their own organizations. You will also learn to apply a range of strategy concepts to sustainability challenges, including leadership, stakeholder management, diversification, and organizational change. | |||||
Content | Although many companies nowadays report on their sustainability actions, only few successfully integrate sustainability into their business operations. In this seminar, we will cover three main questions that will help you to critically analyze and develop strategies for sustainable business: 1. What is sustainability in business? 2. How do I design a sustainability strategy? 3. How do I implement a sustainability strategy? We teach the course with the case method developed at Harvard Business School. The case studies will allow us to explore from multiple perspectives the many tensions involved in developing strategies for sustainable business. We will distribute case study materials before the sessions, as well as guidelines on how best to efficiently and effectively prepare for case study discussions. You will need to read the materials and to submit short assignments before each class. The sessions are interactive and allow you to step into the role of decision-makers as they face key challenges in integrating sustainability. For example, we will look at the challenges of Fairphone in combining both social and economic goals. Why and how would Patagonia want to encourage customers to buy less rather than more clothing? We also step into the shoes of RWE's CEO Peter Terium as he grapples with ensuring a profitable and sustainable future for the German utility. And using a change management simulation, you will experience why certain approaches to implementing a sustainability initiative in an organization are more successful than others. Our case discussions will help you to apply strategy concepts to real-world sustainability problems and will also serve as a basis for thinking about sustainability in your own company. | |||||
Literature | We will provide case study material and guidelines for analyzing cases to participants by email several weeks before the seminar. | |||||
Prerequisites / Notice | After signing up you will first be placed on the waiting list. We will contact all students on the waiting list by 1 March 2019 to confirm their participation in the seminar. If you have any questions, please don't hesitate to contact Johannes Meuer (Link). | |||||
252-0220-00L | Introduction to Machine Learning Previously called Learning and Intelligent Systems. | W | 8 credits | 4V + 2U + 1A | A. Krause | |
Abstract | The course introduces the foundations of learning and making predictions based on data. | |||||
Objective | The course will introduce the foundations of learning and making predictions from data. We will study basic concepts such as trading goodness of fit and model complexitiy. We will discuss important machine learning algorithms used in practice, and provide hands-on experience in a course project. | |||||
Content | - Linear regression (overfitting, cross-validation/bootstrap, model selection, regularization, [stochastic] gradient descent) - Linear classification: Logistic regression (feature selection, sparsity, multi-class) - Kernels and the kernel trick (Properties of kernels; applications to linear and logistic regression); k-nearest neighbor - Neural networks (backpropagation, regularization, convolutional neural networks) - Unsupervised learning (k-means, PCA, neural network autoencoders) - The statistical perspective (regularization as prior; loss as likelihood; learning as MAP inference) - Statistical decision theory (decision making based on statistical models and utility functions) - Discriminative vs. generative modeling (benefits and challenges in modeling joint vy. conditional distributions) - Bayes' classifiers (Naive Bayes, Gaussian Bayes; MLE) - Bayesian approaches to unsupervised learning (Gaussian mixtures, EM) | |||||
Literature | Textbook: Kevin Murphy, Machine Learning: A Probabilistic Perspective, MIT Press | |||||
Prerequisites / Notice | Designed to provide a basis for following courses: - Advanced Machine Learning - Deep Learning - Probabilistic Artificial Intelligence - Probabilistic Graphical Models - Seminar "Advanced Topics in Machine Learning" | |||||
151-0306-00L | Visualization, Simulation and Interaction - Virtual Reality I | W | 4 credits | 4G | A. Kunz | |
Abstract | Technology of Virtual Reality. Human factors, Creation of virtual worlds, Lighting models, Display- and acoustic- systems, Tracking, Haptic/tactile interaction, Motion platforms, Virtual prototypes, Data exchange, VR Complete systems, Augmented reality, Collaboration systems; VR and Design; Implementation of the VR in the industry; Human Computer Interfaces (HCI). | |||||
Objective | The product development process in the future will be characterized by the Digital Product which is the center point for concurrent engineering with teams spreas worldwide. Visualization and simulation of complex products including their physical behaviour at an early stage of development will be relevant in future. The lecture will give an overview to techniques for virtual reality, to their ability to visualize and to simulate objects. It will be shown how virtual reality is already used in the product development process. | |||||
Content | Introduction to the world of virtual reality; development of new VR-techniques; introduction to 3D-computergraphics; modelling; physical based simulation; human factors; human interaction; equipment for virtual reality; display technologies; tracking systems; data gloves; interaction in virtual environment; navigation; collision detection; haptic and tactile interaction; rendering; VR-systems; VR-applications in industry, virtual mockup; data exchange, augmented reality. | |||||
Lecture notes | A complete version of the handout is also available in English. | |||||
Prerequisites / Notice | Voraussetzungen: keine Vorlesung geeignet für D-MAVT, D-ITET, D-MTEC und D-INF Testat/ Kredit-Bedingungen/ Prüfung: – Teilnahme an Vorlesung und Kolloquien – Erfolgreiche Durchführung von Übungen in Teams – Mündliche Einzelprüfung 30 Minuten |
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