Suchergebnis: Katalogdaten im Herbstsemester 2017

Chemieingenieurwissenschaften Bachelor Information
5. Semester
Obligatorische Fächer
Prüfungsblock Reaktionstechnik und Modellierung
NummerTitelTypECTSUmfangDozierende
529-0632-00LHomogeneous Reaction EngineeringO4 KP3GM. Morbidelli, T. Casalini
KurzbeschreibungHomogene Reaktionstechnik, Ideale Reaktoren: Optimierung von Umsatz und Selektivitaet komplexer kinetischer Netzwerke. Waermeeffekte in chemischen Reaktoren. Verweilzeitverteilungen. Analyse und Auslegung chemischer Reaktoren. Schnelle Reaktionen in turbulenter Stroemung. Sensitivitaet und Stabilitaet chemischer Reaktoren.
LernzielBereitstellung einer kompletten Methodologie fuer die Analyse und Auslegung homogener Reaktoren
InhaltKinetische Modelle für homogene Reaktionen. Ermittlung und Analyse experimenteller Geschwindigkeitsdaten. Isotherme ideale Reaktoren. Komplexe Reaktionsnetzwerke. Reaktordesign zur Umsatz- und Selektivitätsoptimierung. Adiabatische und nicht-isotherme Reaktoren. Temperatureffekte auf reversible Reaktionen. Verweilzeitverteilung in chemischen Reaktoren. Mischungseffekte in reagierenden Systemen. Design realer Reaktoren. Parametrische Sensitivitaet und Reaktorstabilität.
SkriptSkripte stehen auf der Website der Gruppe Morbidelli zur Verfuegung
LiteraturH.S. Fogler, Elements of Chemical Reaction Engineering, Prentice Hall, 3rd edition, 1999
O. Levenspiel, Chemical Reaction Engineering, John Wiley, 3rd edition, 1999
J. Baldyga and J.R. Bourne, Turbulent Mixing and Chemical Reactions, John Wiley, 1999
A. Varma, M. Morbidelli and H. Wu, Parametric Sensitivity in Chemical Systems, Cambridge University Press, 1999
A. Varma and M. Morbidelli, Mathematical Methods in Chemical Engineering, Oxford University Press, 1997
752-4001-00LMikrobiologie Information O2 KP2VM. Ackermann, M. Schuppler, J. Vorholt-Zambelli
KurzbeschreibungVermittlung der Grundlagen im Fach Mikrobiologie mit Schwerpunkt auf den Themen: Bakterielle Zellbiologie, Molekulare Genetik, Wachstumsphysiologie, Biochemische Diversität, Phylogenie und Taxonomie, Prokaryotische Vielfalt, Interaktion zwischen Menschen und Mikroorganismen sowie Biotechnologie.
LernzielVermittlung der Grundlagen im Fach Mikrobiologie.
InhaltDer Schwerpunkt liegt auf den Themen: Bakterielle Zellbiologie, Molekulare Genetik, Wachstumsphysiologie, Biochemische Diversität, Phylogenie und Taxonomie, Prokaryotische Vielfalt, Interaktion zwischen Menschen und Mikroorganismen sowie Biotechnologie.
SkriptWird von den jeweiligen Dozenten ausgegeben.
LiteraturDie Behandlung der Themen erfolgt auf der Basis des Lehrbuchs Brock, Biology of Microorganisms
401-0675-00LStatistical and Numerical Methods for Chemical EngineersO3 KP2V + 2UR. Käppeli, P. Müller, M. Sokolov
KurzbeschreibungThis course covers common numerical algorithms and statistical methods used by chemical engineers to solve typical problems arising in industrial and research practice.
LernzielThis course covers common numerical algorithms and statistical methods used by chemical engineers to solve typical problems arising in industrial and research practice. The focus is on application of these algorithms to real world problems, while the underlying mathematical principles are also explained. The MATLAB environment is adopted to integrate computation, visualization and programming.
InhaltTopics covered:

Part I: Numerical Methods:
- Interpolation & Numerical Calculus
- Non-linear Equations
- Ordinary Differential Equations
- Partial Differential Equations
- Linear and Non-linear Least Squares

Part II: Statistical Methods:
- Data analysis and regression methods
- Statistical experimental design
- Multivariate analysis of spectra
SkriptFor the numerics part, see Link

For the statistics part, see Link
LiteraturRecommended reading:
1) R. Pratap, Getting Started with Matlab: A Quick Introduction for
Scientists and Engineers, Qxford University Press, 2001
2) A. Constantinides, N. Mostoufi, Numerical Methods for Chemical
Engineers with Matlab Applications, Prentice Hall, 1999
3) K.J. Beers: Numerical Methods for Chemical Engineering, Cambridge, 2007
4) W. A. Stahel, Statistische Datenanalyse, Vieweg, 4th edition 2002
351-0778-00LDiscovering Management
Entry level course in management for BSc, MSc and PHD students at all levels not belonging to D-MTEC. This course can be complemented with Discovering Management (Excercises) 351-0778-01.
O3 KP3GB. Clarysse, M. Ambühl, S. Brusoni, E. Fleisch, G. Grote, V. Hoffmann, T. Netland, G. von Krogh, F. von Wangenheim
KurzbeschreibungDiscovering Management offers an introduction to the field of business management and entrepreneurship for engineers and natural scientists. The module provides an overview of the principles of management, teaches knowledge about management that is highly complementary to the students' technical knowledge, and provides a basis for advancing the knowledge of the various subjects offered at D-MTEC.
LernzielDiscovering Management combines in an innovate format a set of lectures and an advanced business game. The learning model for Discovering Management involves 'learning by doing'. The objective is to introduce the students to the relevant topics of the management literature and give them a good introduction in entrepreneurship topics too. The course is a series of lectures on the topics of strategy, innovation, corporate finance, leadership, design thinking and corporate social responsibility. While the 14 different lectures provide the theoretical and conceptual foundations, the experiential learning outcomes result from the interactive business game. The purpose of the business game is to analyse the innovative needs of a large multinational company and develop a business case for the company to grow. This business case is as relevant to someone exploring innovation within an organisation as it is if you are planning to start your own business. By discovering the key aspects of entrepreneurial management, the purpose of the course is to advance students' understanding of factors driving innovation, entrepreneurship, and company success.
InhaltDiscovering Management aims to broaden the students' understanding of the principles of business management, emphasizing the interdependence of various topics in the development and management of a firm. The lectures introduce students not only to topics relevant for managing large corporations, but also touch upon the different aspects of starting up your own venture. The lectures will be presented by the respective area specialists at D-MTEC.
The course broadens the view and understanding of technology by linking it with its commercial applications and with society. The lectures are designed to introduce students to topics related to strategy, corporate innovation, leadership, corporate and entrepreneurial finance, value chain analysis, corporate social responsibility, and business model innovation. Practical examples from industry experts will stimulate the students to critically assess these issues. Creative skills will be trained by the business game exercise, a participant-centered learning activity, which provides students with the opportunity to place themselves in the role of Chief Innovation Officer of a large multinational company. As they learn more about the specific case and identify the challenge they are faced with, the students will have to develop an innovative business case for this multinational corporation. Doing so, this exercise will provide an insight into the context of managerial problem-solving and corporate innovation, and enhance the students' appreciation for the complex tasks companies and managers deal with. The business game presents a realistic model of a company and provides a valuable learning platform to integrate the increasingly important development of the skills and competences required to identify entrepreneurial opportunities, analyse the future business environment and successfully respond to it by taking systematic decisions, e.g. critical assessment of technological possibilities.
Voraussetzungen / BesonderesDiscovering Management is designed to suit the needs and expectations of Bachelor students at all levels as well as Master and PhD students not belonging to D-MTEC. By providing an overview of Business Management, this course is an ideal enrichment of the standard curriculum at ETH Zurich.
No prior knowledge of business or economics is required to successfully complete this course.
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