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Italian for Advanced Learners

Instructor Enrico Odelli, e.odelli@tudelft.nl Study goals This course is a follow-up course for students who already completed the course Italian for Beginners and focuses on improving students’ language skills on various domains. The course is aimed at preparing students for academic exchange programs at Italian universities or internships at Italian companies or institutions. The course is also useful for Architecture and Industrial Design students who wish to improve their reading comprehension skills. Language activities (receptive and productive) will be performed in the classroom and at home in order to develop linguistic competence. These language activities serve as a starting point for further reflection on grammar, vocabulary, phonology and social-cultural aspects which are important for language use. Overview of the topics that will arise during the course: leisure and holiday, weather conditions, giving or asking for instructions, future plans, employment, life style, emotional expression, reporting of events, internal business communication, health, travel. Prerequisites: Italian for Beginners or equivalent level/competence. By the end of the course, the student will be able to carry out listening, reading and speaking tasks with a level of proficiency that corresponds to the objectives laid down by the relevant CEFR norms. In line with the CEFR (Common European Framework of Reference) scales the student will attain level A2/B1 (A2 +++) in listening and reading comprehension and level A2/B1 (A2++) in the areas of oral interaction and production. Initial level: A1/A2 Final level: A2/B1 According to the global CEFR Descriptors A2: Can understand sentences and frequently used expressions related to areas of most immediate relevance (e.g. very basic personal and family information, shopping, employment). Can communicate in simple and routine tasks on familiar and routine matters. Can describe in simple terms aspects of their background, immediate environment and matters in areas of immediate need. B1: Can understand the main points of clear standard input on familiar matters regularly encountered in work, school and leisure. Can deal with most situations likely to arise while travelling in an area where the language is spoken. Can produce simple connected text on topics that are familiar or of personal interest. Can describe experiences and events, dreams, hopes and ambitions and briefly give reasons and explanations for opinions and plans. Education form The course compromises workshops. Individually, in pairs or in groups students are required to complete a number of activities, all of which are aimed at developing their language skills. The emphasis throughout is upon spoken proficiency. Students expected to devote at least 5 hours a week to preparing for the weekly lectures. Books and Materials Units 1 - 8: M.Birello et al. (2017), Al dente 2 - Corso d’Italiano, libro dello studente + esercizi, edizione internazionale, Casa delle lingue / Difusiòn, Barcellona. ISBN: 978-84-16657-75-9 (met 1 audioCD en 1 DVD) Assessment Test at the end of the course on: listening and reading comprehension, oral production and interaction, vocabulary, grammar. Costs and Payment The cost for one semester, lasting 14 weeks (14 x 2 = 28 contact hours) will amount to € 100,00 for TU Delft students and staff and € 250,00 for external participants. You can pay using your PIN card. You can make your payment with us by transferring the amount of € 100 / € 250 to our bank account and sending a proof (screenshot or similar) to itav@tudelft.nl . Our payment details are: Acount number: 542891859 IBAN: NL08ABNA0542891859 Swift: ABNANL2A Name receiver: Faculteit TBM Reference: Your name + Italian Course

Professors Mechanical, Maritime and Materials Engineering

Fulltime Prof. dr. ir. D.A. Abbink Human-Robot Interaction Prof. dr. R. Babuska Learning and Autonomous Control Prof. dr. ir. B.J. Boersma Energy Technology Prof. dr. ir. P. Breedveld Medical Instruments & Bio-Inspired Technology Prof. dr. J. Dankelman Medical Instruments & Bio-Inspired Technology Prof. dr. J. Dik Art and Archaeology Prof. dr. J. van den Dobbelsteen Medical Process Engineering Prof. dr. D. Gavrila Intelligent Vehicles Prof. dr. ir. R. Happee Motion Comfort in Automated Driving Prof. dr. ir. J. Harlaar Biomechatronics & Human-Machine Control Prof. dr. ir. J. Hellendoorn Cognitive Robotics (COR) Prof. dr. F.C.T. van der Helm Biomechatronics & Human-Machine Control Prof. dr. ir. J.L. Herder Interactive Mechanisms and Mechatronics Prof. dr. K. Hooman Heat Transformation Technology Prof. ir. J.J. Hopman Ship Design, Production & Operations Prof. dr. ir. R.H.M. Huijsmans Ship and Offshore Structures Prof. dr. ir. W. de Jong Large-Scale Energy Storage Prof. dr. ir. A. van Keulen Structural Optimization and Mechanics (SOM) Prof.dr.ir. T. Keviczky Network Cyber-Physical Systems Prof. dr. ir. S.A. Klein Gas Turbines Prof. dr. ir. M. Langelaar Computational Design & Mechanics Prof. dr. ir. J. M. C. Mol Corrosion Technology and Electrochemistry Prof. dr. R. Negenborn Transport Engineering and Logistics Prof. dr. ir. J.T. Padding Complex Fluid Processing Prof. dr. ir. R. Pecnik Energy Technology Prof. dr. ir. C. Poelma Multiphase Systems Prof. dr. M.J. Santofimia Navarro Microstructures Prof. dr. ir. D.L. Schott Machine Cargo Interaction Engineering Prof. dr. ir. A.C. Schouten System Identification for Human Motion Control Prof. dr. ir. B. de Schutter Hybrid, Adaptive & Nonlinear Systems Prof. dr. ir. J. Sietsma Microstructures Prof. dr. U. Staufer Micro and Nano Engineering (MNE) Prof. dr. P.G. Steeneken Dynamics of Micro and Nanosystems Prof. dr. ir. H. Vallery Biomechatronics & Human-Machine Control Prof. dr. ir. G.V. Vdovine Numerics for Control & Identification Prof. dr. H.E.J. Veeger BioMechanical Engineering Prof. dr. ir. M.H.G. Verhaegen Numerics for Control & Identification Prof. dr. ir. T.J.H. Vlugt Engineering Thermodynamics Prof. dr. ir. J. Westerweel Fluid Mechanics (FM) Prof. dr. G.D. Weymouth Ship Hydromechanics Prof. dr. A.J.M. van Wijk Energy Technology Prof. dr. ir J.W. van Wingerden Data Driven Control Prof. dr. ir J.C.F. de Winter Cognitive Human-Robot Interaction Prof. dr. ir. M. Wisse Robot Dynamics Prof. dr. ir. N. van de Wouw Hybrid, Adaptive & Nonlinear Systems Prof.dr. A.A. Zadpoor Biomaterials & Tissue Biomechanics Part time and visiting Prof. dr. R. Boom Prof. dr. J.P.A. Dewald Prof. dr. A.E.D.M. van der Heijden Prof. dr. ir. G.J.F. van Heijst Prof. dr. B.H.W. Hendriks Prof. dr. ir. R.A.W.M. Henkes Prof. dr. ir. P.P. Jonker Prof.dr.ir. L.A.I. Kestens Prof. dr. J. Klein Dr. ir. H. van der Kooij Prof. dr. ir. J.C. Lötters Prof. dr. ir. L. Nicolas Prof.dr.ir. T.A.E. Oomen Data Driven Control Prof. dr. D.J.E.M. Roekaerts Fluid Mechanics (FM) Prof. dr. ir. A.I. Stankiewicz Intensified Reaction & Separation Systems Prof.ir. D. Stapersma Prof. dr. ir. H.A. Terryn Prof. dr. ir. T.J.C. van Terwisga Prof. dr. ir. W. van de Water Prof. dr. ir. H.H. Weinans Prof.dr. R. Ross (Rob)

Professors

Fulltime Prof. dr. ir. D.A. Abbink Human-Robot Interaction Prof. dr. R. Babuska Learning and Autonomous Control Prof. dr. ir. B.J. Boersma Energy Technology Prof. dr. ir. P. Breedveld Medical Instruments & Bio-Inspired Technology Prof. dr. J. Dankelman Medical Instruments & Bio-Inspired Technology Prof. dr. J. Dik Art and Archaeology Prof. dr. J. van den Dobbelsteen Medical Process Engineering Prof. dr. D. Gavrila Intelligent Vehicles Prof. dr. ir. R. Happee Motion Comfort in Automated Driving Prof. dr. ir. J. Harlaar Biomechatronics & Human-Machine Control Prof. dr. ir. J. Hellendoorn Cognitive Robotics (COR) Prof. dr. F.C.T. van der Helm Biomechatronics & Human-Machine Control Prof. dr. ir. J.L. Herder Interactive Mechanisms and Mechatronics Prof. dr. K. Hooman Heat Transformation Technology Prof. ir. J.J. Hopman Ship Design, Production & Operations Prof. dr. ir. R.H.M. Huijsmans Ship and Offshore Structures Prof. dr. ir. W. de Jong Large-Scale Energy Storage Prof. dr. ir. A. van Keulen Structural Optimization and Mechanics (SOM) Prof.dr.ir. T. Keviczky Network Cyber-Physical Systems Prof. dr. ir. S.A. Klein Gas Turbines Prof. dr. ir. M. Langelaar Computational Design & Mechanics Prof. dr. ir. J. M. C. Mol Corrosion Technology and Electrochemistry Prof. dr. R. Negenborn Transport Engineering and Logistics Prof. dr. ir. J.T. Padding Complex Fluid Processing Prof. dr. ir. R. Pecnik Energy Technology Prof. dr. ir. C. Poelma Multiphase Systems Prof. dr. M.J. Santofimia Navarro Microstructures Prof. dr. ir. D.L. Schott Machine Cargo Interaction Engineering Prof. dr. ir. A.C. Schouten System Identification for Human Motion Control Prof. dr. ir. B. de Schutter Hybrid, Adaptive & Nonlinear Systems Prof. dr. ir. J. Sietsma Microstructures Prof. dr. U. Staufer Micro and Nano Engineering (MNE) Prof. dr. P.G. Steeneken Dynamics of Micro and Nanosystems Prof. dr. ir. H. Vallery Biomechatronics & Human-Machine Control Prof. dr. ir. G.V. Vdovine Numerics for Control & Identification Prof. dr. H.E.J. Veeger BioMechanical Engineering Prof. dr. ir. M.H.G. Verhaegen Numerics for Control & Identification Prof. dr. ir. T.J.H. Vlugt Engineering Thermodynamics Prof. dr. ir. J. Westerweel Fluid Mechanics (FM) Prof. dr. G.D. Weymouth Ship Hydromechanics Prof. dr. A.J.M. van Wijk Energy Technology Prof. dr. ir J.W. van Wingerden Data Driven Control Prof. dr. ir J.C.F. de Winter Cognitive Human-Robot Interaction Prof. dr. ir. M. Wisse Robot Dynamics Prof. dr. ir. N. van de Wouw Hybrid, Adaptive & Nonlinear Systems Prof.dr. A.A. Zadpoor Biomaterials & Tissue Biomechanics Part time and visiting Prof. dr. R. Boom Prof. dr. J.P.A. Dewald Prof. dr. A.E.D.M. van der Heijden Prof. dr. ir. G.J.F. van Heijst Prof. dr. B.H.W. Hendriks Prof. dr. ir. R.A.W.M. Henkes Prof. dr. ir. P.P. Jonker Prof.dr.ir. L.A.I. Kestens Prof. dr. J. Klein Dr. ir. H. van der Kooij Prof. dr. ir. J.C. Lötters Prof. dr. ir. L. Nicolas Prof.dr.ir. T.A.E. Oomen Data Driven Control Prof. dr. D.J.E.M. Roekaerts Fluid Mechanics (FM) Prof. dr. ir. A.I. Stankiewicz Intensified Reaction & Separation Systems Prof.ir. D. Stapersma Prof. dr. ir. H.A. Terryn Prof. dr. ir. T.J.C. van Terwisga Prof. dr. ir. W. van de Water Prof. dr. ir. H.H. Weinans Prof.dr. R. Ross (Rob)

Full Professors

Fulltime Prof. dr. ir. D.A. Abbink Human-Robot Interaction Prof. dr. R. Babuska Learning and Autonomous Control Prof. dr. ir. B.J. Boersma Energy Technology Prof. dr. ir. P. Breedveld Medical Instruments & Bio-Inspired Technology Prof. dr. J. Dankelman Medical Instruments & Bio-Inspired Technology Prof. dr. J. Dik Art and Archaeology Prof. dr. J. van den Dobbelsteen Medical Process Engineering Prof. dr. D. Gavrila Intelligent Vehicles Prof. dr. ir. R. Happee Motion Comfort in Automated Driving Prof. dr. ir. J. Harlaar Biomechatronics & Human-Machine Control Prof. dr. ir. J. Hellendoorn Cognitive Robotics (COR) Prof. dr. F.C.T. van der Helm Biomechatronics & Human-Machine Control Prof. dr. ir. J.L. Herder Interactive Mechanisms and Mechatronics Prof. dr. K. Hooman Heat Transformation Technology Prof. ir. J.J. Hopman Ship Design, Production & Operations Prof. dr. ir. R.H.M. Huijsmans Ship and Offshore Structures Prof. dr. ir. W. de Jong Large-Scale Energy Storage Prof. dr. ir. A. van Keulen Structural Optimization and Mechanics (SOM) Prof.dr.ir. T. Keviczky Network Cyber-Physical Systems Prof. dr. ir. S.A. Klein Gas Turbines Prof. dr. ir. M. Langelaar Computational Design & Mechanics Prof. dr. ir. J. M. C. Mol Corrosion Technology and Electrochemistry Prof. dr. R. Negenborn Transport Engineering and Logistics Prof. dr. ir. J.T. Padding Complex Fluid Processing Prof. dr. ir. R. Pecnik Energy Technology Prof. dr. ir. C. Poelma Multiphase Systems Prof. dr. M.J. Santofimia Navarro Microstructures Prof. dr. ir. D.L. Schott Machine Cargo Interaction Engineering Prof. dr. ir. A.C. Schouten System Identification for Human Motion Control Prof. dr. ir. B. de Schutter Hybrid, Adaptive & Nonlinear Systems Prof. dr. ir. J. Sietsma Microstructures Prof. dr. U. Staufer Micro and Nano Engineering (MNE) Prof. dr. P.G. Steeneken Dynamics of Micro and Nanosystems Prof. dr. ir. H. Vallery Biomechatronics & Human-Machine Control Prof. dr. ir. G.V. Vdovine Numerics for Control & Identification Prof. dr. H.E.J. Veeger BioMechanical Engineering Prof. dr. ir. M.H.G. Verhaegen Numerics for Control & Identification Prof. dr. ir. T.J.H. Vlugt Engineering Thermodynamics Prof. dr. ir. J. Westerweel Fluid Mechanics (FM) Prof. dr. G.D. Weymouth Ship Hydromechanics Prof. dr. A.J.M. van Wijk Energy Technology Prof. dr. ir J.W. van Wingerden Data Driven Control Prof. dr. ir J.C.F. de Winter Cognitive Human-Robot Interaction Prof. dr. ir. M. Wisse Robot Dynamics Prof. dr. ir. N. van de Wouw Hybrid, Adaptive & Nonlinear Systems Prof.dr. A.A. Zadpoor Biomaterials & Tissue Biomechanics Part time and visiting Prof. dr. R. Boom Prof. dr. J.P.A. Dewald Prof. dr. A.E.D.M. van der Heijden Prof. dr. ir. G.J.F. van Heijst Prof. dr. B.H.W. Hendriks Prof. dr. ir. R.A.W.M. Henkes Prof. dr. ir. P.P. Jonker Prof.dr.ir. L.A.I. Kestens Prof. dr. J. Klein Dr. ir. H. van der Kooij Prof. dr. ir. J.C. Lötters Prof. dr. ir. L. Nicolas Prof.dr.ir. T.A.E. Oomen Data Driven Control Prof. dr. D.J.E.M. Roekaerts Fluid Mechanics (FM) Prof. dr. ir. A.I. Stankiewicz Intensified Reaction & Separation Systems Prof.ir. D. Stapersma Prof. dr. ir. H.A. Terryn Prof. dr. ir. T.J.C. van Terwisga Prof. dr. ir. W. van de Water Prof. dr. ir. H.H. Weinans Prof.dr. R. Ross (Rob)

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Tracing ancient settlements in Colombia with remote sensing

A team of the LDE alliance (Leiden University, TU Delft, and Erasmus University Rotterdam) asked whether it might be possible to search for signs of ancient settlements in the jungle with affordable remote sensing techniques. For an expedition in a Colombian dense forest, the team, including remote sensing expert Felix Dahle of TU Delft, joined forces with archaeologists and drone experts from Colombia. In mountainous forests, drones provide affordable access to areas that would otherwise be unreachable from the ground. A LiDAR laser scanner already proved its value in coastal observation . The big question was whether LiDAR could bypass the many treetops. Trees reflect the laser, so it was crucial to fly close so it found its way through the foliage. The team mounted a highly portable LiDAR laser scanner to a drone and went on expedition nearby ancient terraces of the Tairona culture in the Sierra Nevada of Santa Marta. “We had to find the sweet spot. Close to the archaeological sites and still secure above the canopy”, says Felix Dahle. And it passed the test. The LiDAR laser scanner create a point cloud and a detailed 3D model of the landscape. “We were able to detect ancient terraces in the jungle. We discovered that we can scan through the forest when it is not too dense, but some areas remained unfathomable. We could also distinguish several types of vegetation, which might be of great use too to find undiscovered archaeological sites.”

TU Delft jointly wins in XPRIZE Rainforest competition in Brazil

TU Delft jointly wins in the XPRIZE Rainforest competition in the Amazon, Brazil Imagine using rapid and autonomous robot technology for research into the green and humid lungs of our planet; our global rainforests. Drones that autonomously deploy eDNA samplers and canopy rafts uncover the rich biodiversity of these complex ecosystems while revealing the effects of human activity on nature and climate change. On November 15, 2024, after five years of intensive research and competition, the ETHBiodivX team, which included TU Delft Aerospace researchers Salua Hamaza and Georg Strunck, achieved an outstanding milestone: winning the XPRIZE Rainforest Bonus Prize for outstanding effort in co-developing inclusive technology for nature conservation. The goal: create automated technology and methods to gain near real-time insights about biodiversity – providing necessary data that can inform conservation action and policy, support sustainable bioeconomies, and empower Indigenous Peoples and local communities who are the primary protectors and knowledge holders of the planet’s tropical rainforests. The ETHBiodivX team, made of experts in Robotics, eDNA, and Data Insights, is tackling the massive challenge of automating and streamlining the way we monitor ecosystems. Leading the Robotics division, a collaboration between TU Delft’s Prof. Salua Hamaza, ETH Zurich’s Prof. Stefano Mintchev and Aarhus University’s Profs. Claus Melvad and Toke Thomas Høye, is developing cutting-edge robotic solutions to gather ecology and biology data autonomously. “We faced the immense challenge of deploying robots in the wild -- and not just any outdoor environment but one of the most demanding and uncharted: the wet rainforests. This required extraordinary efforts to ensure robustness and reliability, pushing the boundaries of what the hardware could achieve for autonomous data collection of images, sounds, and eDNA, in the Amazon” says prof. Hamaza. “Ultimately, this technology will be available to Indigenous communities as a tool to better understand the forest's ongoing changes in biodiversity, which provide essential resources as food and shelter to the locals.” . . . .

Students Amos Yusuf, Mick Dam & Bas Brouwer winners of Mekel Prize 2024

Master students Amos Yusuf, from the ME faculty (Mick Dam, from the EEMCS faculty and graduate Bas Brouwer have won the Mekel Prize 2024 for the best extra scientific activity at TU Delft: the development of an initiative that brings master students into the classroom teaching sciences to the younger generations. The prize was ceremonially awarded by prof Tim van den Hagen on 13 November after the Van Hasselt Lecture at the Prinsenhof, Delft. They received a statue of Professor Jan Mekel and 1.500,- to spend on their project. Insights into climate change are being openly doubted. Funding for important educational efforts and research are being withdrawn. Short clips – so called “reels” – on Youtube and TikTok threaten to simplify complex political and social problems. AI fakes befuddle what is true and what is not. The voices of science that contribute to those discussion with modesty, careful argument and scepticism, are drowned in noise. This poses a threat for universities like TU Delft, who strive to increase student numbers, who benefit from diverse student populations and aim to pass on their knowledge and scientific virtues to the next generation. It is, therefore, alarming that student enrolments to Bachelor and Master Programs at TU Delft have declined in the past year. Students in front of the class The project is aimed to make the sciences more appealing to the next generation. They have identified the problem that students tend miss out on the opportunity of entering a higher education trajectory in the Beta sciences – because they have a wrong picture of such education. In their mind, they depict it as boring and dry. In his pilot lecture at the Stanislas VMBO in Delft, Amos Yusuf has successfully challenged this image. He shared his enthusiasm for the field of robotics and presented himself as a positive role model to the pupils. And in return the excitement of the high school students is palpable in the videos and pictures from the day. The spark of science fills their eyes. Bas Brouwer Mick Dam are the founders of NUVO – the platform that facilitates the engagement of Master Students in high school education in Delft Their efforts offer TU Delft Master Students a valuable learning moment: By sharing insights from their fields with pupils at high school in an educational setting, our students can find identify their own misunderstandings of their subject, learn to speak in front of non-scientific audiences and peak into education as a work field they themselves might not have considered. An extraordinary commitment According to the Mekel jury, the project scored well on all the criteria (risk mitigation, inclusiveness, transparency and societal relevance). However, it was the extraordinary commitment of Amos who was fully immersed during his Master Project and the efforts of Brouwer and Dam that brought together teaching and research which is integral to academic culture that made the project stand out. About the Mekel Prize The Mekel Prize will be awarded to the most socially responsible research project or extra-scientific activity (e.g. founding of an NGO or organization, an initiative or realization of an event or other impactful project) by an employee or group of employees of TU Delft – projects that showcase in an outstanding fashion that they have been committed from the beginning to relevant moral and societal values and have been aware of and tried to mitigate as much as possible in innovative ways the risks involved in their research. The award recognizes such efforts and wants to encourage the responsible development of science and technology at TU Delft in the future. For furthermore information About the project: https://www.de-nuvo.nl/video-robotica-pilot/ About the Mekel Prize: https://www.tudelft.nl/en/tpm/our-faculty/departments/values-technology-and-innovation/sections/ethics-philosophy-of-technology/mekel-prize

New catheter technology promises safer and more efficient treatment of blood vessels

Each year, more than 200 million catheters are used worldwide to treat vascular diseases, including heart disease and artery stenosis. When navigating into blood vessels, friction between the catheter and the vessel wall can cause major complications. With a new innovative catheter technology, Mostafa Atalla and colleagues can change the friction from having grip to completely slippery with the flick of a switch. Their design improves the safety and efficiency of endovascular procedures. The findings have been published in IEEE. Catheter with variable friction The prototype of the new catheter features advanced friction control modules to precisely control the friction between the catheter and the vessel wall. The friction is modulated via ultrasonic vibrations, which overpressure the thin fluid layer. This innovative variable friction technology makes it possible to switch between low friction for smooth navigation through the vessel and high friction for optimal stability during the procedure. In a proof-of-concept, Atalla and his team show that the prototype significantly reduces friction, averaging 60% on rigid surfaces and 11% on soft surfaces. Experiments on animal aortic tissue confirm the promising results of this technology and its potential for medical applications. Fully assembled catheters The researchers tested the prototype during friction experiments on different tissue types. They are also investigating how the technology can be applied to other procedures, such as bowel interventions. More information Publicatie DOI : 10.1109/TMRB.2024.3464672 Toward Variable-Friction Catheters Using Ultrasonic Lubrication | IEEE Journals & Magazine | IEEE Xplore Mostafa Atalla: m.a.a.atalla@tudelft.nl Aimee Sakes: a.sakes@tudelft.nl Michaël Wiertlewski: m.wiertlewski@tudelft.nl Would you like to know more and/or attend a demonstration of the prototype please contact me: Fien Bosman, press officer Health TU Delft: f.j.bosman@tudelft.nl/ 0624953733