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Electives TiSD 2018-2019

Electives TiSD 2018-2019 Students who want to obtain the sustainability annotation TiSD should contact their faculty referent in an early stage. Students can choose electives from a wide variety of Sustainability related courses at TU Delft or at other universities. The courses are divided in two clusters. You need to choose at least 10 ECTS, with a minimum of 3 ECTS per cluster. In between ( ) is the number of ECTS points applicable for this course regarding the TiSD graduation annotation and the total ects for that course e.g. (3 ECTS/5 ECTS) meaning 3 out of the total of 5 ECTS for that course count for the TiDS annotation. Other courses and courses at other universities must be approved in advance by your faculty TiSD referent. Cluster A - Design, analysis and tools AE4462 Aircraft Emissions and Climate Effects (4 ECTS) OE44075 Introduction to Ocean Energy (4 ECTS) AR0072 - Solar Decathlon - (12 ECTS) AR0074 - Geo-design for a Circular Economy in Urban Regions - (3 ECTS) AR2AP030 - Aesthetics of Sustainable Architecture seminar- (3 ECTS) AR2HA010 - Building Green: Past, present, future - (3 ECTS) ME45100 - Fuel Cell Systems (3 ECTS) MS43315 Recycling engineering materials (4 ECTS) AE4W02TU Introduction to Wind Turbines: Physics and Technology (4 ECTS) AE4T40 Airborne Wind Energy (3 ECTS) AE4W09 Wind Turbine Design (5 ECTS) AES1470 Geothermics (2 ECTS) AP3141 Environmental Physics (6 ECTS) AR0191 Urban Sustainability (TiDO) (3 ECTS) AR0092 Zero Energy Design (6 ECTS) AR0531 Innovation and Sustainability (6 ECTS) AR1U131 Sustainable Urban Engineering of Territory (5 ECTS) AR2A015 Delft Lectures on Architectural Sustainablility (3 ECTS) AR3B015 SWAT studio (15 ECTS = 6 ECTS – cluster B and 3 ECTS – cluster A) CIE4100 Materials and ecological engineering (4 ECTS) CIE4450 Integrated Water Management (4 ECTS) CIE5304 Waterpower Engineering (3 ECTS) CIE5560 Engineering and Development (4 ECTS) ET3034TU Solar Energy (3 ECTS) ID4175 Advanced Embodiment Design (2 ECTS) ID5356 Sustainable Design Strategies for Product Development (3 ECTS) LM3611 Microbial Community Engineering (3 out of 6 ECTS) LM3741 Fermentation Technology and Environmental Biotechnology (3 out of 6 ECTS) OE44120 Offshore Wind Farms Design (4 ECTS) 4413DOSTSY Design of Sustainable Technological Systems (6 ECTS) 4413RENESY Renewable Energy Systems (6 ECTS) 4413UEINFY Urban Environment and Infrastructures (6 ECTS) WM0804TU Project Safety Science (6 ECTS) CIE4510 Climate Change: Science & Ethics (4 ECTS = 2 ECTS – cluster A and 2 ECTS – cluster B) Cluster B - Organisation and society AR0097 - Climate proof sustainable renovation: energy use, envir impact, health and comfort, life-cycle cost - (4 ECTS) AR0054 Energy Friendly Renovation Processes (3 ECTS) AR3B015 SWAT studio (15 ECTS = 6 ECTS – cluster B and 3 ECTS – cluster A) EPA1133 Ethics and Impacts of Global Interventions (5 ECTS) ID4185 Strategic & Sustainable Design (3 ECTS) ID5565 Sustainable Business Models and Sustainable Product/Service Systems (3 ECTS) LM3311 Green Chemistry and Sustainable Technology (3 ECTS) LM3561 Ethical, Legal & Social Issues in Biotechnology (3 ECTS) 4413SUISCY Sustainable Innovation and Social Change (6 ECTS) SPM9730 Sustainable Innovation and Transitions (3 ECTS) WM0353TU Climate Ethics (3 ECTS) WM0801TU Introduction to Safety Science (3 ECTS) WM0903TU Technological Entrepreneurship and Global Development (4 ECTS) WM0931SET Sustainable Energy Innovation and Transitions (4 ECTS) WM0944 TU Sustainable Innovation in Practice (5 ECTS) CIE4510 Climate Change: Science & Ethics (4 ECTS = 2 ECTS – cluster A and 2 ECTS – cluster B)

Electives TiSD 2016-2017

Electives TiSD 2016-2017 Students who want to obtain the sustainability annotation TiSD should contact their faculty referent in an early stage. Students can choose electives from a wide variety of Sustainability related courses at TU Delft or at other universities. The courses are divided in two clusters. You need to choose at least 10 ECTS, with a minimum of 3 ECTS per cluster. In between ( ) is the number of ECTS points applicable for this course regarding the TiSD graduation annotation and the total ects for that course e.g. (3 ECTS/5 ECTS) meaning 3 out of the total of 5 ECTS for that course count for the TiDS annotation. Other courses and courses at other universities must be approved in advance by your faculty TiSD referent. Cluster A - Design, analysis and tools AE3W02TU Introduction to Wind Energy (3 ECTS) AE4T40 Kite, Smart Kites, Control and Energy Production (3 ECTS) AE4W09 Wind Turbine Design (5 ECTS) AES1470 Geothermics (2 ECTS) AP3141 D Environmental Physics (6 ECTS) AR0084 Sustainable Design, Time Based (TIDO) (9 ECTS) AR0190 Urban Sustainability (TiDO) (2 ECTS) AR0092 Zero Energy Design (6 ECTS) AR0531 Innovation and Sustainability (6 ECTS) AR1U130 Sustainable Urban Engineering of Territory (4 ECTS) AR2A015 Delft Lectures on Architectural Sustainablility (3 ECTS) AR3B015 SWAT studio (15 ECTS = 6 ECTS – cluster B and 3 ECTS – cluster A) CIE4100 Materials and ecological engineering (4 ECTS) CIE4450 Integrated Water Management (4 ECTS) CIE5304 Waterpower Engineering (3 ECTS) CIE5560 Civil Engineering in Developing Countries (4 ECTS) EPA1322 Continuous Systems Modeling (5 ECTS) ET4149 Solar Cells (1 ECTS) ID4175 Advanced Embodiment Design (2 ECTS) ID5356 Sustainable Design Strategies for Product Development (3 ECTS) LM3611 Microbial Community Engineering (3 out of 6 ECTS ) LM3741 Fermentation Technology and Environmental Biotechnology (3 out of 6 ECTS) OE5662 Offshore Wind Farm Design (4 ECTS) 4413DOSTSY Design of Sustainable Technological Systems (6 ECTS) 4413RENESY Renewable Energy Systems (6 ECTS) 4413UEINFY Urban Environment and Infrastructures (6 ECTS) SPM5610 Planning and Design of Multi-Modal Infrastructure Networks (5 ECTS) SPM9750 Environmental Sustainability in the Built Environment (4 ECTS) WM0804TU Project Safety Science (6 ECTS) CIE4510 Climate Change: Science & Ethics (4 ECTS = 2 ECTS – cluster A and 2 ECTS – cluster B) Cluster B - Organisation and society AR0054 Energy Friendly Renovation Processes (3 ECTS) AR0084 Sustainable Design, Time Based (TIDO) (3 ECTS) AR3B015 SWAT studio (15 ECTS = 6 ECTS – cluster B and 3 ECTS – cluster A) EPA1133 Ethics and Impacts of Global Interventions (5 ECTS) EPA1423 Decision making in networks (5 ECTS) ID4050 Internationalisation (3 ECTS) ID4185 Strategic & Sustainable Design (3 ECTS) ID5565 Sustainable Business Models and Sustainable Product/Service Systems (3 ECTS) LM3311 Green Chemistry and Sustainable Technology (3 ECTS) LM3561 Ethical, Legal & Social Issues in Biotechnology (3 ECTS ) OE5662 Offshore Wind Farm Design (1 ECTS) SPM4110 Designing Multi-actor Systems (6 ECTS) 4413SUISCY Sustainable Innovation and Social Change (6 ECTS) WM0353TU Climate Ethics (3 ECTS) WM0801TU Introduction to Safety Science (3 ECTS) WM0903TU Technology and Global Development (4 ECTS) WM0930SET System Innovation and Strategic Niche Management (3 ECTS) WM0944 TU Sustainable Innovation in Practice (5 ECTS) CIE4510 Climate Change: Science & Ethics (4 ECTS = 2 ECTS – cluster A and 2 ECTS – cluster B)

Yan Vogel

Yan Vogel I was raised from immigrant family in the countryside of the southmost part of Spain. In 2009 I moved to the city to pursue my universities studies, and graduated from the University of Seville, Spain, with a B.S. in chemistry and a M.S. in electrochemistry (2014, advisors Manuela Rueda and Francisco Prieto). In 2015 I moved to Australia to start my PhD studies under the guidance of Simone Ciampi at the University of Wollongong. The year after we relocated to Curtin University, graduating in 2020 (top 1%). After completing my PhD, I worked for one year as a postdoc in Ciampi’s group. In 2021 I joined the NCfun group here at Delft University as a postdoc with a fellowship (Postdoc.Mobility) from the Swiss National Science Foundation to study electron transfers within quantum dot-molecule complexes. My research background focuses on the study of electron transfers at interfaces, processes ubiquitous in nature and industry. For example, I studied proton-coupled electron transfers, essential steps of the respiratory chain that keep us alive. During my PhD I developed a new concept to localise chemical reactivity by inducing electron transfers at the semiconductor/liquid interface with the use of a focused light beam. I also ventured into the field of triboelectrochemistry, electron transfers at insulating interfaces such that of liquids with plastics, oils and gases, which are still rather unknown but might have wide implications to our understanding of environmental chemistry, chemical catalysis, and industrial hazards. A list of my works can be found here: https://scholar.google.com/citations?user=70ZqMPsAAAAJ&hl=en During my spare time I like to read about science and philosophy. I also love cycling so I think Netherlands will be a nice place for me. I find cooking enjoyable and entertaining, sometimes as much as eating. Finally, I try to put my grain of sand in making a better world outside science; specifically, I am active in social movements that aim for greater freedom and democracy for everyone. Yan Vogel Y.B.Vogel@tudelft.nl Van der Maasweg 9 2629HZ Delft Roomnumber: D1.143

Arjan Houtepen

Prof. Arjan Houtepen Full Professor +31 (0)15 27 82157 A.J.Houtepen@tudelft.nl www.tudelft.nl/cheme/NCFun Building 58, D1.140 Van der Maasweg 9 2629 HZ Delft The Netherlands Management Assistant Adinda Kohler +31 (0)15 27 82937 A.V.Kohler-1@tudelft.nl linkedin twitter Arjan Houtepen is full professor in the Chemical Engineering department. His research group, called NCFun, studies the FUNdamental properties of semiconductor nanomaterials, develops FUNctional nanomaterials and has FUN in the process. To this end, the group combines synthesis, advanced spectroscopy and electrochemistry. Research group Academic background Arjan (born 1979) received his PhD from Utrecht University in 2007, under supervision of prof. Daniel Vanmaekelbergh and prof. John Kelly. He then joined Delft University of Technology as tenure track assistant professor. In 2020 he was promoted to full professor of Colloidal Nanomaterials at TU Delft. Arjan spent time as a visiting scientist at LMU Munich (2008-2009) and was guest professor at Ghent University (2014-2019). He is currently board member of the Young Academy (DJA) of the Royal Dutch Academy of Sciences (KNAW). +31 (0)15 27 82157 A.J.Houtepen@tudelft.nl www.tudelft.nl/cheme/NCFun Building 58, D1.140 Van der Maasweg 9 2629 HZ Delft The Netherlands Management Assistant Adinda Kohler +31 (0)15 27 82937 A.V.Kohler-1@tudelft.nl linkedin twitter Keywords Colloidal Nanomaterials Spectroscopy Electrochemistry Google Scholar Educational Activities Coordinator: 4052LEON3 Chemical Product Design Responsible teacher: CH3632 Chemistry and physics of solar cells Lecturer: CH3513 Electrochemistry for Renewable Energy Lecturer: CH3162A Design and Synthesis of Advanced Chemical Products (DSP) Lecturer: Energy Transition: Photon power (Minor Sustainable Chemistry and Biotechnology) Ancillary Activities Board member of the KNAW Young Academy.

Programming on the GPU with CUDA

Planned courses Nowadays the Graphics Processing Unit (GPU) is a mainstream hardware component in high-performance computing. For affordable budgets anyone can harness supercomputer performance. However, realizing efficient parallelism combines three knowledge areas: firstly, on the architecture and compute capabilities of the GPUs; then, on special constructs for programming a GPU-equipped computer; finally, on the special algorithms for performing logical and mathematical operations in parallel. What is CUDA? CUDA stands for Compute Unified Device Architecture. It is a software-development tool kit for programming on the GPUs maintained by the mainstream manufacturer Nvidia. CUDA provides language extensions for C, C++, FORTRAN, and Python as well as knowledge-specific libraries. A single source code is then able to instruct the CPU and GPU alike. Also, CUDA-extended codes keep pace closely with the rapid developments in the underlying technology. Goals and prerequisites To guide you in this development niche, the Delft Institute for Computational Science and Engineering (DCSE) offers a CUDA course every quarter. We will explain basic principles and advanced topics on GPU programming with CUDA. You will apply these notions in our labroom with hands-on examples. After this course you will be able to get simple CUDA programs running on a GPU-equipped computer. As prerequisite, a rudimentary understanding of programming languages like C++ or Java is ideal; that of Fortran or Python will be helpful too. Some interest in linear algebra and iterative solvers is a little advantage. Programme Day 1 Day 2 HPC variant 09:15 - 09:30 Arrival with coffee and tea 09:30 - 10:30 Parallel computing on GPU’s Prof.dr.ir. C. Vuik 10:45 - 11:30 GPU’s design and architecture Ir. C.W.J. Lemmens 11:45 - 12:30 Lab 1: CUDA introduction Ir. C.W.J. Lemmens 12:45 - 13:30 Lunch 13:30 - 14:45 Lab 2: Using CuBlas, CuFFT Ir. C.W.J. Lemmens 15:00 - 17:00 Lab 3: Debugging and Profiling Ir. C.W.J. Lemmens 09:15 - 09:30 Arrival with coffee and tea 09:30 - 10:30 Lab 4: Shared memory, streams, atomics, Ir. C.W.J. Lemmens 10:45 - 12:30 Lab 5: Optimising code: Innerproduct , Ir. C.W.J. Lemmens 12:45 - 13:30 Lunch 13:30 - 14:30 Lab 6: Parallel solvers on GPU's, Dr. Matthias Möller 14:45 - 16:30 Lab 7: Solvers on GPU, Dr. Matthias Möller 16:30 - 17:00 Lab 8: Solvers on GPU (continued) Dr. Matthias Möller Two day course 25 max. participants Teachers: C. Vuik C.W.J. Lemmens M. Möller Costs: €200,- / 1 day €350,- / 2 days TU Delft staff: €50,- / day €100,- / 2 days Free for DCSE members including lunch and course materials Location: Penguinlab, EWI B36.HB.2.130 More information C.W.J. Lemmens +31 15 27 87224 C.W.J.Lemmens@tudelft.nl Administrative details Frederieke Brands f.brands@tudelft.nl

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New LDE trainee in D&I office

Keehan Akbari has started since the beginning of September as a new LDE trainee in the Diversity and Inclusion office. What motivated him to work for the D&I office, what does he expect to achieve during this traineeship? Read the short interview below! What motivated you to pursue your LDE traineeship in Diversity and Inclusion office of the TU Delft? I completed both bachelor's and master's degrees in Cultural Anthropology and Development Sociology at Leiden University. Within these studies, my main area of interest was in themes of inclusion and diversity. After being hired as a trainee for the LDE traineeship, and discovering that one of the possible assignments belonged to the Diversity and Inclusion office, my choice was quickly made. I saw this as an excellent opportunity to put the theories I learned during my studies into practice. What specific skills or experiences do you bring to the D&I office that will help promote inclusivity on campus? I am someone who likes to connect rather than polarize, taking into account the importance of different perspectives and stakeholders. I believe that this is how one can achieve the most in fostering diversity and inclusion. You need to get multiple parties on board to get the best results. What are your main goals as you begin your role here, and how do you hope to make an impact? An important goal for me this year is to get students more involved in diversity and inclusion at the university. One way I will try to accomplish this is by contributing to the creation of D&I student teams. By establishing a D&I student team for faculties, it will be possible to deal with diversity- and inclusion-related issues that apply and relate to the specific department. How do you plan to engage with different (student) communities within the university? Since I am new to TU Delft, the first thing I need to do is expand my network here. Therefore, I am currently busy exploring the university and getting to know various stakeholders. Moreover, I intend to be in close contact with various student and study organizations to explore together how to strengthen cooperation on diversity and inclusion. Welcome to the team Keehan and we wish you lots of success with your traineeship!

Researchers from TU Delft and Cambridge University collaborate on innovative methods to combat Climate Change

For over a year and a half, researchers from TU Delft and the Cambridge University Centre for Climate Repair have worked together on groundbreaking techniques to increase the reflectivity of clouds in the fight against global warming. During a two-day meeting, the teams are discussing their progress. Researchers at Cambridge are focusing on the technical development of a system that can spray seawater, releasing tiny salt crystals into the atmosphere to brighten the clouds. The team from TU Delft, led by Prof. Dr. Ir. Herman Russchenberg, scientific director of the TU Delft Climate Action Program and professor of Atmospheric Remote Sensing, is studying the physical effects of this technique. Prof. Russchenberg emphasizes the importance of this research: "We have now taken the first steps towards developing emergency measures against climate change. If it proves necessary, we must be prepared to implement these techniques. Ideally, we wouldn't need to use them, but it's important to investigate how they work now." Prof. Dr. Ir. Stefan Aarninkhof, dean of the Faculty of Civil Engineering and Geosciences, expresses pride in the team as the first results of this unique collaboration are becoming visible. If the researchers in Delft and Cambridge can demonstrate the potential of the concept, the first small-scale experiments will responsibly begin within a year. This research has been made possible thanks to the long-term support from the Refreeze the Arctic Foundation, founded by family of TU Delft alumnus Marc Salzer Levi . Such generous contributions enable innovative and high-impact research that addresses urgent global challenges like climate change. Large donations like these enable the pursuit of innovative, high-impact research that may not otherwise be feasible, demonstrating how our collective effort and investment in science can lead to real, transformative solutions for global challenges like climate change. Climate-Action Programme

How system safety can make Machine Learning systems safer in the public sector

Machine Learning (ML), a form of AI where patterns are discovered in large amounts of data, can be very useful. It is increasingly used, for example, in chatbot Chat GPT, facial recognition, or speech software. However, there are also concerns about the use of ML systems in the public sector. How do you prevent the system from, for example, discriminating or making large-scale mistakes with negative effects on citizens? Scientists at TU Delft, including Jeroen Delfos, investigated how lessons from system safety can contribute to making ML systems safer in the public sector. “Policymakers are busy devising measures to counter the negative effects of ML. Our research shows that they can rely much more on existing concepts and theories that have already proven their value in other sectors,” says Jeroen Delfos. Jeroen Delfos Learning from other sectors In their research, the scientists used concepts from system safety and systems theory to describe the challenges of using ML systems in the public sector. Delfos: “Concepts and tools from the system safety literature are already widely used to support safety in sectors such as aviation, for example by analysing accidents with system safety methods. However, this is not yet common practice in the field of AI and ML. By applying a system-theoretical perspective, we view safety not only as a result of how the technology works, but as the result of a complex set of technical, social, and organisational factors.” The researchers interviewed professionals from the public sector to see which factors are recognized and which are still underexposed. Bias There is room for improvement to make ML systems in the public sector safer. For example, bias in data is still often seen as a technical problem, while the origin of that bias may lie far outside the technical system. Delfos: “Consider, for instance, the registration of crime. In neighbourhoods where the police patrol more frequently, logically, more crime is recorded, which leads to these areas being overrepresented in crime statistics. An ML system trained to discover patterns in these statistics will replicate or even reinforce this bias. However, the problem lies in the method of recording, not in the ML system itself.” Reducing risks According to the researchers, policymakers and civil servants involved in the development of ML systems would do well to incorporate system safety concepts. For example, it is advisable to identify in advance what kinds of accidents one wants to prevent when designing an ML system. Another lesson from system safety, for instance in aviation, is that systems tend to become more risky over time in practice, because safety becomes subordinate to efficiency as long as no accidents occur. “It is therefore important that safety remains a recurring topic in evaluations and that safety requirements are enforced,” says Delfos. Read the research paper .