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The Faculty of Computer Science at TU Delft is renowned for its diverse and impactful research groups. Key areas of focus include Cyber Security, which protects information systems from threats; Data Analytics and Machine Learning, which extracts insights from large datasets for fields like healthcare and finance; Distributed Systems, which enhances the efficiency and reliability of networked computing environments; Human-Centered Design, which improves user-computer interactions and interface usability; and Software Engineering, which advances development processes to improve software quality and performance. Together, these groups drive technological innovation and address complex global challenges. Software Technology Algorithmics Within the Algorithmics group, we aim to design and understand the fundamental properties of, planning and coordination algorithms for intelligent decision-making in real-world applications, such as for predictive maintenance scheduling. Programming Languages The programming languages research program aims at improving the effectiveness and reliability of programming languages and systems. Distributed Systems The mission of the Distributed Systems group is to model, design, implement, and analyze distributed systems and algorithms. Its research is fundamental, aimed at the development and evaluation of new generic concepts in systems software. Quantum Computer Science Quantum Computer Science merges quantum mechanics with computing to create powerful quantum computers capable of processing complex calculations. Research includes developing quantum algorithms, error correction, and scalable hardware. Embedded and Networked Systems The research of Embedded Software concerns the software side of embedded systems, which are characterized by their limited visibility, autonomous operation, real-time activities, and constrained resources making software design a challenging and fun task. Web Information Systems In its research and education, the Web Information Systems (WIS) group aims to make web information system engineering more effective in processing, retrieving, and interpreting human‐generated web data. Intelligent Systems Multimedia Computing The Multimedia Computing (MMC) Group develops algorithms for enriching, accessing, and searching large quantities of data. Such algorithms lie at the core of tomorrow’s search engines and large-scale recommender systems. Computer Graphics and Visualization The Computer Graphics and Visualization (CGV) group investigates fundamental concepts and technologies for realistic, perceptual, and expressive rendering, visualization of scientific and medical data, interaction and games. Pattern Recognition and Bioinformatics Pattern recognition is concerned with processing raw measurement data by a computer to arrive at a prediction, which can then be used to formulate a decision or action to take. Cybersecurity The Cybersecurity group researches various topics, ranging from cryptography to data analytics, and focuses on improving cybersecurity. Interactive Intelligence The Interactive Intelligence (II) section focuses on social, intelligent agents. We research the intelligence that underlies and co-evolves during the repeated interactions of human and technology “agents” who cooperate to achieve a joint goal. Sequential Decision Making The Sequential Decision-Making research group focuses on developing algorithms and models for making decisions over time under uncertainty. Their research spans reinforcement learning, Markov decision processes, and optimization techniques.

Education

Welcome to the Computer Science Programs Page, your gateway to a world of innovation, problem-solving, and technological advancement. Here, you'll discover diverse programs designed to ignite your passion for computing and equip you with the skills needed for a successful career in the tech industry. Whether you're interested in programming, data science, cybersecurity, or software engineering, our courses offer hands-on experience and expert guidance to help you master the fundamentals and stay ahead in this rapidly evolving field. Dive in, explore the possibilities, and start your journey toward becoming a student at TU Delft. Teaching team Discover the team of full-time lecturers, software engineers, and teaching assistants to help primarily with massive education tasks. Find Us Visit us at Mathematics and Computer Science (Building 28) and Echo. Bachelor in CSE During the Computer Science and Engineering degree program, you will learn how to develop software and all data processing for the intelligent systems of today and the future. Master in CS The Computer Science master's program aims to educate Computer Scientists who possess a deep understanding of theoretical concepts and practical applications and can responsibly engineer solutions addressing the evolving challenges of our digital society. Master in DSAIT This master enables you to obtain advanced knowledge and skills in subject areas of Data Science and AI Technology through inspiring themes, allowing you to work on specific types of challenges you might encounter as a professional. Computer Science Get an introduction to modern software development and data science, by deepening your knowledge on data structures and algorithms. Engineering with AI Learn how machine learning algorithms work in real-time applications, and Ai techniques and their ethical implications. Living Education Lab Combine design thinking and technology-enhanced learning and teaching with interdisciplinary group work. The departments provide education to nearly 2600 students. That is about 10% of the whole student population of TUDelft.

Minor Programs

Today’s job market is calling for engineers with wide-ranging knowledge who are willing to look beyond the boundaries of their own degree discipline. In order to prepare its students for the working world, TU Delft has a major/minor structure in all of its Bachelor’s programmes. In addition to providing a focus on your major or main degree subject, this system enables you to add another dimension to your studies in the form of a minor. The minor is a cohesive unit of courses worth a total of 30 ECTS credits, accounting for six months of your studies. You take your minor in the first semester of your third Bachelor’s year. You are entirely free in your choice of minor. It therefore provides an appealing opportunity to look beyond the bounds of your own discipline. General Brochure Find what minor courses are offered within the Electrical Engineering, Mathematics & Computer Science faculty. Computer Science In the minor Computer Science, you get an introduction on two of the hottest topics in the field: modern software development and data science. You will deepen your Python programming skills, apply algorithms and data structures on a variety of problems in domains such as data science, and work in teams using modern development and collaboration tools. Engineering with AI In this minor program you will learn how AI and machine learning algorithms work and how you can apply them the right way. You will also learn the pros and cons of AI techniques, their limitations and possible associated ethical problems. You will get to know all the ins and outs of AI; you will be able to tune settings or to use specific AI algorithms using toolboxes, and will learn what is ‘under the hood’ of the AI toolkit. Living Education Lab This LDE Minor combines the domains of design thinking and technology-enhanced learning and teaching with interdisciplinary group work. You are guided through your individual learning path towards skilled educational innovators and researchers who know their way in the worlds of Education, Technology and Design and are able to apply this knowledge in educational practice.

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TU Delft jointly wins XPRIZE Rainforest drone 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