Search result: Catalogue data in Spring Semester 2021

Process Engineering Master Information
Core Courses
151-0116-10LHigh Performance Computing for Science and Engineering (HPCSE) for Engineers II Information W4 credits4GP. Koumoutsakos, S. M. Martin
AbstractThis course focuses on programming methods and tools for parallel computing on multi and many-core architectures. Emphasis will be placed on practical and computational aspects of Uncertainty Quantification and Propagation including the implementation of relevant algorithms on HPC architectures.
ObjectiveThe course will teach
- programming models and tools for multi and many-core architectures
- fundamental concepts of Uncertainty Quantification and Propagation (UQ+P) for computational models of systems in Engineering and Life Sciences
ContentHigh Performance Computing:
- Advanced topics in shared-memory programming
- Advanced topics in MPI
- GPU architectures and CUDA programming

Uncertainty Quantification:
- Uncertainty quantification under parametric and non-parametric modeling uncertainty
- Bayesian inference with model class assessment
- Markov Chain Monte Carlo simulation
Lecture notes
Class notes, handouts
Literature- Class notes
- Introduction to High Performance Computing for Scientists and Engineers, G. Hager and G. Wellein
- CUDA by example, J. Sanders and E. Kandrot
- Data Analysis: A Bayesian Tutorial, D. Sivia and J. Skilling
- An introduction to Bayesian Analysis - Theory and Methods, J. Gosh, N. Delampady and S. Tapas
- Bayesian Data Analysis, A. Gelman, J. Carlin, H. Stern, D. Dunson, A. Vehtari and D. Rubin
- Machine Learning: A Bayesian and Optimization Perspective, S. Theodorides
Prerequisites / NoticeStudents must be familiar with the content of High Performance Computing for Science and Engineering I (151-0107-20L)
151-0170-00LComputational Multiphase Thermal Fluid DynamicsW4 credits2V + 1UF. Coletti, A. Dehbi, Y. Sato
AbstractThe course deals with fundamentals of the application of Computational Fluid Dynamics to gas-liquid flows as well as particle laden gas flows including aerosols. The course will present the current state of art in the field. Challenging examples, mainly from the fluid-machinery and plant, are discussed in detail.
ObjectiveFundamentals of 3D multiphase flows (Definitions, Averages, Flow regimes), mathematical models (two-fluid model, Euler-Euler and Euler-Lagrange techniques), modeling of dispersed bubble flows (inter-phase forces, population balance and multi-bubble size class models), turbulence modeling, stratified and free-surface flows (interface tracking techniques such as VOF, level-sets and variants, modeling of surface tension), particulate and aerosol flows, particle tracking, one and two way coupling, random walk techniques to couple particle tracking with turbulence models, numerical methods and tools, industrial applications.
151-0206-00LEnergy Systems and Power EngineeringW4 credits2V + 2UR. S. Abhari, A. Steinfeld
AbstractIntroductory first course for the specialization in ENERGY. The course provides an overall view of the energy field and pertinent global problems, reviews some of the thermodynamic basics in energy conversion, and presents the state-of-the-art technology for power generation and fuel processing.
ObjectiveIntroductory first course for the specialization in ENERGY. The course provides an overall view of the energy field and pertinent global problems, reviews some of the thermodynamic basics in energy conversion, and presents the state-of-the-art technology for power generation and fuel processing.
ContentWorld primary energy resources and use: fossil fuels, renewable energies, nuclear energy; present situation, trends, and future developments. Sustainable energy system and environmental impact of energy conversion and use: energy, economy and society. Electric power and the electricity economy worldwide and in Switzerland; production, consumption, alternatives. The electric power distribution system. Renewable energy and power: available techniques and their potential. Cost of electricity. Conventional power plants and their cycles; state-of-the-art and advanced cycles. Combined cycles and cogeneration; environmental benefits. Solar thermal; concentrated solar power; solar photovoltaics. Fuel cells: characteristics, fuel reforming and combined cycles.
Lecture notesVorlesungsunterlagen werden verteilt
151-0208-00LComputational Methods for Flow, Heat and Mass Transfer ProblemsW4 credits4GD. W. Meyer-Massetti
AbstractNumerical methods for the solution of flow, heat & mass transfer problems are presented and illustrated by analytical & computer exercises.
ObjectiveKnowledge of and practical experience with discretization and solution methods for computational fluid dynamics and heat and mass transfer problems
Content- Introduction with application examples, steps to a numerical solution
- Classification of PDEs, application examples
- Finite differences
- Finite volumes
- Method of weighted residuals, spectral methods, finite elements
- Stability analysis, consistency, convergence
- Numerical solution methods, linear solvers
The learning materials are illustrated with practical examples.
Lecture notesSlides to be completed during the lecture will be handed out.
LiteratureReferences are provided during the lecture. Notes in close agreement with the lecture material are available (in German).
Prerequisites / NoticeBasic knowledge in fluid dynamics, thermodynamics and programming (lecture: "Models, Algorithms and Data: Introduction to Computing")
151-0224-00LFuel Synthesis EngineeringW4 credits3VB. Bulfin, A. Lidor
AbstractThis course will include a revision of chemical engineering fundamentals and the basics of processes modelling for fuel synthesis technologies. Using this as a background we will then study a range of fuel production technologies, including established fossil fuel processing and emerging renewable fuel production processes.
Objective1) Develop an understanding of the fundamentals of chemical process engineering, including chemical thermodynamics, molecular theory and kinetics.
2) Learn to perform basic process modelling using some computational methods in order to analyse fuel production processes.
3) Using the fundamentals as a background, we will study a number of different fuel production processes, both conventional and emerging technologies.
ContentTheory: Chemical equilibrium thermodynamics, reaction kinetics, and chemical reaction engineering.

Processes modelling: An introduction to using cantera to model chemical processes. This part of the course includes an optional project, where the student will perform a basic analysis of a natural gas to methanol conversion process.

Fuel synthesis topics: Conventional fuel production including oil refinery, upgrading of coal and natural gas, and biofuel. Emerging renewable fuel technologies including the conversion of renewable electricity to fuels via electrolysis, the conversion of heat to fuels via thermochemical cycles, and some other speculative fuel production processes.
Lecture notesWill be available electronically.
LiteratureA) Physical Chemistry, 3rd edition, A. Alberty and J. Silbey, 2001
B) Chemical Reaction Engineering, 3rd Edition, Octave Levenspiel, 1999
C) Fundamentals of industrial catalytic processes, C. H. Bartholomew, R. J. Farrauto, 2011;
Prerequisites / NoticeSome previous studies in chemistry and chemical engineering are recommended, but not absolutely necessary. Experience with either Python or Matlab is also recommended.
151-0280-00LAdvanced Techniques for the Risk Analysis of Technical SystemsW4 credits2V + 1UG. Sansavini
AbstractThe course provides advanced tools for the risk/vulnerability analysis and engineering of complex technical systems and critical infrastructures. It covers application of modeling techniques and design management concepts for strengthening the performance and robustness of such systems, with reference to energy, communication and transportation systems.
ObjectiveStudents will be able to model complex technical systems and critical infrastructures including their dependencies and interdependencies. They will learn how to select and apply appropriate numerical techniques to quantify the technical risk and vulnerability in different contexts (Monte Carlo simulation, Markov chains, complex network theory). Students will be able to evaluate which method for quantification and propagation of the uncertainty of the vulnerability is more appropriate for various complex technical systems. At the end of the course, they will be able to propose design improvements and protection/mitigation strategies to reduce risks and vulnerabilities of these systems.
ContentModern technical systems and critical infrastructures are complex, highly integrated and interdependent. Examples of these are highly integrated energy supply, energy supply with high penetrations of renewable energy sources, communication, transport, and other physically networked critical infrastructures that provide vital social services. As a result, standard risk-assessment tools are insufficient in evaluating the levels of vulnerability, reliability, and risk.
This course offers suitable analytical models and computational methods to tackle this issue with scientific accuracy. Students will develop competencies which are typically requested for the formation of experts in reliability design, safety and protection of complex technical systems and critical infrastructures.
Specific topics include:
- Introduction to complex technical systems and critical infrastructures
- Basics of the Markov approach to system modeling for reliability and availability analysis
- Monte Carlo simulation for reliability and availability analysis
- Markov Chain Monte Carlo for applications to reliability and availability analysis
- Dependent, common cause and cascading failures
- Complex network theory for the vulnerability analysis of complex technical systems and critical infrastructures
- Basic concepts of uncertainty and sensitivity analysis in support to the analysis of the reliability and risk of complex systems under incomplete knowledge of their behavior
Practical exercitations and computational problems will be carried out and solved both during classroom tutorials and as homework.
Lecture notesSlides and other materials will be available online
LiteratureThe class will be largely based on the books:
- "Computational Methods For Reliability And Risk Analysis" by E. Zio, World Scientific Publishing Company
- "Vulnerable Systems" by W. Kröger and E. Zio, Springer
- additional recommendations for text books will be covered in the class
Prerequisites / NoticeFundamentals of Probability
151-0234-00LElectrochemical Energy SystemsW4 credits4GM. Lukatskaya
AbstractThis course will discuss working principles of electrochemical energy systems, with focus on energy storage devices and touching on energy conversion systems. It will provide detailed introduction into the fundamentals of the related electrochemical processes and key electrochemical characterization methods.
ObjectiveThe goal of this course is that students understand fundamental principles and theory behind electrochemical processes, analyse current scientific literature and explain real electrochemical data.
Key objectives of this course are:
1. Explain working principle of electrochemical energy storage systems
2. Claculate theoretical capabilities of the energy storage systems
3. Explain discrepancies between theoretical and real-world performance of energy storage systems
4. Understand and explain principles of analytical electrochemical methods
5. Analyze and explain relevant seminal and modern research literature
Lecture notesLecture notes and handouts
151-0926-00LSeparation Process Technology IW4 credits3GM. Mazzotti, A. Bardow
AbstractNon-empirical design of gas-liquid, vapor-liquid, and liquid-liquid separation processes for ideal and non-ideal systems, based on mass transfer phenomena and phase equilibrium.
ObjectiveNon-empirical design of gas-liquid, vapor-liquid, and liquid-liquid separation processes for ideal and non-ideal systems, based on mass transfer phenomena and phase equilibrium.
ContentMethods for the non empirical design of equilibrium stage separations for ideal and non-ideal systems, based on mass transfer phenomena and phase equilibrium. Topics: introduction to the separation process technology. Phase equilibrium: vapor/liquid and liquid/liquid. Flash vaporization: binary and multicomponent. Equilibrium stages and multistage cascades. Gas absorption and stripping. Continuous distillation: design methods for binary and multicomponent systems; continuous-contact equipment; azeotropic distillation, equipment for gas-liquid operations. Liquid/liquid extraction. The lecture is supported by a web base learning tool, i.e. HyperTVT.
Lecture notesLecture notes available
LiteratureTreybal "Mass-transfer operations" oder Seader/Henley "Separation process principles" oder Wankat "Equilibrium stage separations" oder Weiss/Militzer/Gramlich "Thermische Verfahrenstechnik"
Prerequisites / NoticePrerequisite: Stoffaustausch

A self-learning web-based environment is available (HyperTVT):
151-0928-00LCO2 Capture and Storage and the Industry of Carbon-Based ResourcesW4 credits3GM. Mazzotti, A. Bardow, P. Eckle, N. Gruber, M. Repmann, T. Schmidt, D. Sutter
AbstractCarbon-based resources (coal, oil, gas): origin, production, processing, resource economics. Climate change: science, policies. CCS systems: CO2 capture in power/industrial plants, CO2 transport and storage. Besides technical details, economical, legal and societal aspects are considered (e.g. electricity markets, barriers to deployment).
ObjectiveThe goal of the lecture is to introduce carbon dioxide capture and storage (CCS) systems, the technical solutions developed so far and the current research questions. This is done in the context of the origin, production, processing and economics of carbon-based resources, and of climate change issues. After this course, students are familiar with important technical and non-technical issues related to use of carbon resources, climate change, and CCS as a transitional mitigation measure.

The class will be structured in 2 hours of lecture and one hour of exercises/discussion. At the end of the semester a group project is planned.
ContentBoth the Swiss and the European energy system face a number of significant challenges over the coming decades. The major concerns are the security and economy of energy supply and the reduction of greenhouse gas emissions. Fossil fuels will continue to satisfy the largest part of the energy demand in the medium term for Europe, and they could become part of the Swiss energy portfolio due to the planned phase out of nuclear power. Carbon capture and storage is considered an important option for the decarbonization of the power sector and it is the only way to reduce emissions in CO2 intensive industrial plants (e.g. cement- and steel production).
Building on the previously offered class "Carbon Dioxide Capture and Storage (CCS)", we have added two specific topics: 1) the industry of carbon-based resources, i.e. what is upstream of the CCS value chain, and 2) the science of climate change, i.e. why and how CO2 emissions are a problem.
The course is devided into four parts:
I) The first part will be dedicated to the origin, production, and processing of conventional as well as of unconventional carbon-based resources.
II) The second part will comprise two lectures from experts in the field of climate change sciences and resource economics.
III) The third part will explain the technical details of CO2 capture (current and future options) as well as of CO2 storage and utilization options, taking again also economical, legal, and sociatel aspects into consideration.
IV) The fourth part will comprise two lectures from industry experts, one with focus on electricity markets, the other on the experiences made with CCS technologies in the industry.
Throughout the class, time will be allocated to work on a number of tasks related to the theory, individually, in groups, or in plenum. Moreover, the students will apply the theoretical knowledge acquired during the course in a case study covering all the topics.
Lecture notesPower Point slides and distributed handouts
LiteratureIPCC Special Report on Global Warming of 1.5°C, 2018.

IPCC AR5 Climate Change 2014: Synthesis Report, 2014.

IPCC Special Report on Carbon dioxide Capture and Storage, 2005.

The Global Status of CCS: 2014. Published by the Global CCS Institute, Nov 2014.
Prerequisites / NoticeExternal lecturers from the industry and other institutes will contribute with specialized lectures according to the schedule distributed at the beginning of the semester.
151-0931-00LSeminar on Particle TechnologyZ0 credits3SS. E. Pratsinis
AbstractThe latest advances in particle technology are highlighted focusing on aerosol fundamentals in connection to materials processing and nanoscale engineering. Students attend and give research presentations for the research they plan to do and at the end of the semester they defend their results and answer questions from research scientists. Familiarize the students with the latest in this field.
ObjectiveThe goal of the seminar is to introduce and discuss newest developments in particle science and engineering. Emphasis is placed on the oral presentation of research results, validation and comparison with existing
data from the literature. Students learn how to organize and deliver effectively a scientific presentation and how to articulate and debate scientific results.
ContentThe seminar addresses synthesis, characterization, handling and modeling of particulate systems (aerosols, suspensions etc.) for applications in ceramics, catalysis, reinforcements, pigments, composites etc. on the examples of newest research developments. It comprises particle - particle interactions, particle - fluid interactions and the response of the particulate system to the specific application.
Prerequisites / NoticeVoraussetzungen: Particle Technology (30-902) or Particulate Processes (151-0903-00)
151-0940-00LModelling and Mathematical Methods in Process and Chemical EngineeringW4 credits3GM. Mazzotti
AbstractStudy of the non-numerical solution of systems of ordinary differential equations and first order partial differential equations, with application to chemical kinetics, simple batch distillation, and chromatography.
ObjectiveStudy of the non-numerical solution of systems of ordinary differential equations and first order partial differential equations, with application to chemical kinetics, simple batch distillation, and chromatography.
ContentDevelopment of mathematical models in process and chemical engineering, particularly for chemical kinetics, batch distillation, and chromatography. Study of systems of ordinary differential equations (ODEs), their stability, and their qualitative analysis. Study of single first order partial differential equation (PDE) in space and time, using the method of characteristics. Application of the theory of ODEs to population dynamics, chemical kinetics (Belousov-Zhabotinsky reaction), and simple batch distillation (residue curve maps). Application of the method of characteristic to chromatography.
Lecture notesno skript
LiteratureA. Varma, M. Morbidelli, "Mathematical methods in chemical engineering," Oxford University Press (1997)
H.K. Rhee, R. Aris, N.R. Amundson, "First-order partial differential equations. Vol. 1," Dover Publications, New York (1986)
R. Aris, "Mathematical modeling: A chemical engineer’s perspective," Academic Press, San Diego (1999)
151-0944-00LCase Studies on Earth's Natural Resources
Does not take place this semester.
W3 credits3SM. Mazzotti
AbstractBy working on case studies, built around everyday consumer products, and by applying engineering principles (e.g. material and energy balances), students will gain insight into natural resources, their usage in today's society, the challenges and the opportunities ensuing from the need to make their use long-term sustainable.
ObjectiveThe students are supposed to gain insight about our natural resources, and how their usage and supply relate to our society and to us as individuals. The students will analyse how the natural resources form and change, how they are extracted and used, and how we can utilize them in a sustainable way.
ContentThe students will analyze processes and products in terms of their use of natural resources. The study will use everyday consumer products as examples, will use engineering principles together with physics and chemistry fro the analysis, and will be based on documentation collected by the students withe the help of lecturer and assistants. Through these examples, the students will be made familiar with issues about the circular economy and recycling.
Lecture notesHandouts during the class.
LiteratureWalther, John V., "Earth's natural resources", (2014) Jones & Bartlett Learning // Oberle, B., Bringezu, S., Hatfield-Dodds, S., Hellweg, S., Schandl, H., Clement, J., "Global Resources Outlook 2019: Natural resources for the future we want - A Report of the International Resource Panel", (2019) United Nations Environment Programme.
Prerequisites / NoticeStudents must be enrolled in a MSc or doctoral program at ETH Zurich.
151-0946-00LMacromolecular Engineering: Networks and GelsW4 credits4GM. Tibbitt
AbstractThis course will provide an introduction to the design and physics of soft matter with a focus on polymer networks and hydrogels. The course will integrate fundamental aspects of polymer physics, engineering of soft materials, mechanics of viscoelastic materials, applications of networks and gels in biomedical applications including tissue engineering, 3D printing, and drug delivery.
ObjectiveThe main learning objectives of this course are: 1. Identify the key characteristics of soft matter and the properties of ideal and non-ideal macromolecules. 2. Calculate the physical properties of polymers in solution. 3. Predict macroscale properties of polymer networks and gels based on constituent chemical structure and topology. 4. Design networks and gels for industrial and biomedical applications. 5. Read and evaluate research papers on recent research on networks and gels and communicate the content orally to a multidisciplinary audience.
Lecture notesClass notes and handouts.
LiteraturePolymer Physics by M. Rubinstein and R.H. Colby; samplings from other texts.
Prerequisites / NoticePhysics I+II, Thermodynamics I+II
151-1906-00LMultiphase FlowsW4 credits3GF. Coletti
AbstractIntroduction to fluid flows with multiple interacting phases. The emphasis is on regimes where a dispersed phase is carried by a continuous one: e.g., particles, bubbles and droplets suspended in gas or liquid flows, laminar or turbulent. The flow physics is put in the context of natural, biological, and industrial problems.
ObjectiveThe main learning objectives are:
- identify multiphase flow regimes and relevant non-dimensional parameters
- distinguish spatio-temporal scales at play for each phase
- quantify mutual coupling between different phases
- apply fundamental principles in complex real-world flows
- combine insight from theory, experiments, and numerics
ContentSingle particle and multi-particle dynamics in laminar and turbulent flows; basics of suspension rheology; effects of surface tension on the formation, evolution and motion of bubbles and droplets; free-surface flows and wind-wave interaction; imaging techniques and modeling approaches.
Lecture notesLecture slides are made available.
LiteratureSuggested readings are provided for each topic.
Prerequisites / NoticeFundamental knowledge of fluid dynamics is essential.
227-0966-00LQuantitative Big Imaging: From Images to StatisticsW4 credits2V + 1UP. A. Kaestner, M. Stampanoni
AbstractThe lecture focuses on the challenging task of extracting robust, quantitative metrics from imaging data and is intended to bridge the gap between pure signal processing and the experimental science of imaging. The course will focus on techniques, scalability, and science-driven analysis.
Objective1. Introduction of applied image processing for research science covering basic image processing, quantitative methods, and statistics.
2. Understanding of imaging as a means to accomplish a scientific goal.
3. Ability to apply quantitative methods to complex 3D data to determine the validity of a hypothesis
ContentImaging is a well established field and is rapidly growing as technological improvements push the limits of resolution in space, time, material and functional sensitivity. These improvements have meant bigger, more diverse datasets being acquired at an ever increasing rate. With methods varying from focused ion beams to X-rays to magnetic resonance, the sources for these images are exceptionally heterogeneous; however, the tools and techniques for processing these images and transforming them into quantitative, biologically or materially meaningful information are similar.
The course consists of equal parts theory and practical analysis of first synthetic and then real imaging datasets. Basic aspects of image processing are covered such as filtering, thresholding, and morphology. From these concepts a series of tools will be developed for analyzing arbitrary images in a very generic manner. Specifically a series of methods will be covered, e.g. characterizing shape, thickness, tortuosity, alignment, and spatial distribution of material features like pores. From these metrics the statistics aspect of the course will be developed where reproducibility, robustness, and sensitivity will be investigated in order to accurately determine the precision and accuracy of these quantitative measurements. A major emphasis of the course will be scalability and the tools of the 'Big Data' trend will be discussed and how cluster, cloud, and new high-performance large dataset techniques can be applied to analyze imaging datasets. In addition, given the importance of multi-scale systems, a data-management and analysis approach based on modern databases will be presented for storing complex hierarchical information in a flexible manner. Finally as a concluding project the students will apply the learned methods on real experimental data from the latest 3D experiments taken from either their own work / research or partnered with an experimental imaging group.
The course provides the necessary background to perform the quantitative evaluation of complicated 3D imaging data in a minimally subjective or arbitrary manner to answer questions coming from the fields of physics, biology, medicine, material science, and paleontology.
Lecture notesAvailable online.
LiteratureWill be indicated during the lecture.
Prerequisites / NoticeIdeally, students will have some familiarity with basic manipulation and programming in languages like Python, Matlab, or R. Interested students who are worried about their skill level in this regard are encouraged to contact Anders Kaestner directly (

More advanced students who are familiar with Python, C++, (or in some cases Java) will have to opportunity to develop more of their own tools.
529-0191-01LElectrochemical Energy Conversion and Storage TechnologiesW4 credits3GL. Gubler, E. Fabbri, J. Herranz Salañer
AbstractThe course provides an introduction to the principles and applications of electrochemical energy conversion (e.g. fuel cells) and storage (e.g. batteries) technologies in the broader context of a renewable energy system.
ObjectiveStudents will discover the importance of electrochemical energy conversion and storage in energy systems of today and the future, specifically in the framework of renewable energy scenarios. Basics and key features of electrochemical devices will be discussed, and applications in the context of the overall energy system will be highlighted with focus on future mobility technologies and grid-scale energy storage. Finally, the role of (electro)chemical processes in power-to-X and deep decarbonization concepts will be elaborated.
ContentOverview of energy utilization: past, present and future, globally and locally; today’s and future challenges for the energy system; climate changes; renewable energy scenarios; introduction to electrochemistry; electrochemical devices, basics and their applications: batteries, fuel cells, electrolyzers, flow batteries, supercapacitors, chemical energy carriers: hydrogen & synthetic natural gas; electromobility; grid-scale energy storage, power-to-gas, power-to-X and deep decarbonization, techno-economics and life cycle analysis.
Lecture notesall lecture materials will be available for download on the course website.
Literature- M. Sterner, I. Stadler (Eds.): Handbook of Energy Storage (Springer, 2019).
- C.H. Hamann, A. Hamnett, W. Vielstich; Electrochemistry, Wiley-VCH (2007).
- T.F. Fuller, J.N. Harb: Electrochemical Engineering, Wiley (2018)
Prerequisites / NoticeBasic physical chemistry background required, prior knowledge of electrochemistry basics desired.
529-0633-00LHeterogeneous Reaction EngineeringW4 credits3GJ. Pérez-Ramírez, C. Mondelli
AbstractHeterogeneous Reaction Engineering equips students with tools essential for the optimal development of heterogeneous processes. Integrating concepts from chemical engineering and chemistry, students will be introduced to the fundamental principles of heterogeneous reactions and will develop the necessary skills for the selection and design of various types of idealized reactors.
ObjectiveAt the end of the course the students will understand the basic principles of catalyzed and uncatalyzed heterogeneous reactions. They will know models to represent fluid-fluid and fluid-solid reactions; how to describe the kinetics of surface reactions; how to evaluate mass and heat transfer phenomena and account for their impact on catalyst effectiveness; the principle causes of catalyst deactivation; and reactor systems and protocols for catalyst testing.
ContentThe following components are covered:
- Fluid-fluid and fluid-solid heterogeneous reactions.
- Kinetics of surface reactions.
- Mass and heat transport phenomena.
- Catalyst effectiveness.
- Catalyst deactivation.
- Strategies for catalyst testing.

These aspects are exemplified through modern examples.
For each core topic, assignments are distributed, corrected, and discussed.
The course also features an industrial lecture.
Lecture notesScript and booklet of exercises as well as links to the Zoom recordings of the lectures are available in the corresponding Moodle course.
LiteratureH. Scott Fogler: Elements of Chemical Reaction Engineering, Prentice Hall, New Jersey, 1992

O. Levenspiel: Chemical Reaction Engineering, 3rd edition, John Wiley & Sons, New Jersey, 1999

Further relevant sources are given during the course.
636-0111-00LSynthetic Biology I
Attention: This course was offered in previous semesters with the number: 636-0002-00L "Synthetic Biology I". Students that already passed course 636-0002-00L cannot receive credits for course 636-0111-00L.
W4 credits3GS. Panke, J. Stelling
AbstractTheoretical & practical introduction into the design of dynamic biological systems at different levels of abstraction, ranging from biological fundamentals of systems design (introduction to bacterial gene regulation, elements of transcriptional & translational control, advanced genetic engineering) to engineering design principles (standards, abstractions) mathematical modelling & systems desig
ObjectiveAfter the course, students will be able to theoretically master the biological and engineering fundamentals required for biological design to be able to participate in the international iGEM competition (see
ContentThe overall goal of the course is to familiarize the students with the potential, the requirements and the problems of designing dynamic biological elements that are of central importance for manipulating biological systems, primarily (but not exclusively) prokaryotic systems. Next, the students will be taken through a number of successful examples of biological design, such as toggle switches, pulse generators, and oscillating systems, and apply the biological and engineering fundamentals to these examples, so that they get hands-on experience on how to integrate the various disciplines on their way to designing biological systems.
Lecture notesHandouts during classes.
LiteratureMark Ptashne, A Genetic Switch (3rd ed), Cold Spring Haror Laboratory Press
Uri Alon, An Introduction to Systems Biology, Chapman & Hall
Prerequisites / Notice1) Though we do not place a formal requirement for previous participation in particular courses, we expect all participants to be familiar with a certain level of biology and of mathematics. Specifically, there will be material for self study available on as of mid January, and everybody is expected to be fully familiar with this material BEFORE THE CLASS BEGINS to be able to follow the different lectures. Please contact for access to material
2) The course is also thought as a preparation for the participation in the international iGEM synthetic biology summer competition (, This competition is also the contents of the course Synthetic Biology II.
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