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What will you learn during the CSE programme?

You will learn how computers, networks and embedded systems work. You will study algorithms, addressing questions as: what is arithmetic, what can computers do and what can they not do, and how can you represent software mathematically? Of course, you will also work with concepts of various programming languages, study data structures, learn about software quality, how to model complex systems and how users interact with such systems. You will try to solve problems in a logical way. Structure of the programme In the first year you will have compulsory courses with theory and laboratory courses (projects). You will be taught programming, reasoning and logic, computer networks, data management and mathematics. The second year is built of 75 per cent compulsory courses and 25 per cent electives. And the third year is mainly a number of electives and a Research Project. Modules The Computer Science and Engineering degree programme consists of six modules: Mathematics Systems Models Software Data & AI Multimedia The first year The second year The third year In the first year you will have compulsory courses with theory and laboratory courses (projects). You will be taught programming, reasoning and logic, computer networks, data management and mathematics. The second year is built of 75 per cent compulsory courses and 25 per cent electives, and the third year consists of a minor, electives and a Research Project. Courses and competences Introduction to Programming This course consists of learning the basics of programming. You will already be programming your first ‘object’ in the programming language Java during the first week. You learn, for example, about data types, methods and testing. You also write several small software programmes. Previous knowledge of programming is not required. Reasoning and Logic “All ICT students learn Reasoning and Logic. You are an ICT student. Conclusion: you learn Reason and Logic.” As a computer scientist, you must be capable of solving complex problems. One important aspect is to be able to come to the right conclusions. Based on theorems and partial observations you can acquire more knowledge and evidence to help prove that a specific conclusion is mathematically and logically correct. You learn how to do this with Reasoning and Logic. Computer Organisation How does a computer perform calculations, and how does it remember data? This is what you learn in the course Computer Organisation. You investigate the architecture, structure and the components of a computer. Memory and processes are important elements. Calculus Calculus is a branch of mathematics that concerns functions, series and equations, differentiation, integration and complex numbers. This knowledge is used, for example, for optimisation, the analysis of the duration of an algorithm and signal analysis. The knowledge from Mathematics B is repeated during the first week, and you will quickly expand your knowledge. Algorithms and Datastructures This course takes up where Introduction to Programming and Reasoning and Logic left off. Now you have mastered the basics of programming, you will learn about the data structures that you can use to store information in a structured manner, such as lists and trees. You also concentrate on algorithms: the instructions needed to carry out a task, such as sorting or searching for information. You also learn that various solutions have their own pros and cons in terms of constraints in consumption of space and time. It is vital to use the right data structures and algorithms in order to be able to solve problems as efficiently as possible. Web- and Database Technology What happens when you open a website? How do you ensure that your online information is stored safely? This course is an introduction to the Web, and you will program in HTML, CSS and JavaScript. You are also introduced to databases, learning about their architecture and how you can interact with databases. Linear Algebra We are often confronted with digital information that consists of numbers that can be represented structurally. An example of this is Computer Graphics, where points are expressed as coordinates in a 3-D space. In the mathematics course Linear Algebra, you learn how to represent this kind of information in matrices and vectors, and how you can consequently work and compute with them effectively. Collaborative Software Engineering Project During this project you will put the knowledge that you gained in the course Introduction to Programming in practice. You will write a programme, in a group of five students. The assignment is different every year: for example, students have developed an application for people with illiteracy and a programme to help program blind people. This course teaches you the essential skills for the development of software, not only limited planning and documentation and working in a team. Information and Data Management Following on from the introduction in Web and Database Technology, your knowledge about databases will be further expanded in this course. You learn more about modelling, managing and retrieving data from a Database Management System. You also learn how to use universal resource identifiers, such as a URL to save and retrieve data. Probability Theory and Statistics The mathematics course Probability and Statistics teaches you how to calculate probabilities and how to deal with divisions in your data. You learn, for example, how you can compute the variance (spread) of your data and why this is important. Statistics help you to form conclusions in your research. You can compute whether something is pure chance or if there is a significant link. Software Quality and Testing How can you know for sure that your software will always perform as expected? How do you go about adding new functionality or adapting something? You must ensure that your software is easy to maintain and will continue to function after updates have been made. This is why it is important that you know how to write good software and how to test it. In this course, the testing methods from Introduction to Programming are augmented with new information and skills. Computer Networks The Internet would probably be the first thing that comes to mind when thinking about networks, as it is certainly a good example of a network. But what happens when you send an email to a fellow-student via a network? What does a secure connection imply, and what are the dangers of such a connection? The course Computer Networks teaches you about the various levels of communication within a network that combine to send data through the network. You will also monitor the applicability, reliability and performance of each level. The second year is built on compulsory courses and electives. In the first semester, you may choose from three different blocks: Multimedia, Systems or Data. You will learn more about the use of multimedia data in areas as social media or how you can analyse large data files. In the second semester you will work in a small team with fellow students on a large software project, developing software for an external stakeholder to tackle a socially relevant issue. Examples of such projects include programming a drone that can independently survey a commercial greenhouse or developing a scheduling application for a hospital. Courses and competences Computer Graphics This course teaches you about the challenges and problems associated with the creation of Computer Graphics. You learn invaluable techniques, such as geometrical modelling and the conversion of models into images. You also use computer graphics techniques during a project in a group of six students. You work on a ray tracer. This is a technique that uses light in an image in such a way that the image appears to be more realistic. The knowledge of linear algebra that you have gained will be very useful here. Machine Learning In this course you will learn the basics of different Machine Learning algorithms. These algorithms are used in many AI applications. You will use Python to implement the theory. Algorithm Design Algorithm Design goes a step further than the Algorithms and Data Structures course. You learn, for example, about graphs (collections of points), dynamic algorithms and network optimisation. Each technique is assessed for efficiency, as a few lines of code can make the difference between a runtime of a week or a few seconds. Software Engineering Methods Software Engineering Methods teaches you how to develop good quality software in a team setting. You learn how to translate the wishes of the client into programming goals, how you can use agile working methods to realise a larger product, how you can use design patterns to create software that can be easily maintained and improved, and how you can gauge and monitor the quality of the software that you have produced. Automata, Computability and Complexity The course Automata, Computability and Complexity concentrates on how programming languages are recognised by computers and what types of problems are solved using computers. There is also attention for how you can determine the amount of time and memory that is required for different solutions. Concept of Programming Languages Most of the underlying concepts of programming languages are very similar. This course teaches you the basic concepts on which many programming languages are based. Once you understand these concepts it will help you to understand and work with many different programming languages. This is important for the future, if you have to use different languages to the ones that you learned during your studies. Software Project During the Software Project you will apply your knowledge of Software Engineering Methods in practice. In a small team you will create a software solution for a societal relevant problem. You will work with an (external) client and deliver a working product as requested by the client. For the Software Project we work together with external companies that offer various projects. Variant Block During your second year, you can choose one of three variant blocks. These variant blocks give you the opportunity to learn more about a branch of ICT that interests you. Variant Block - Multimedia The variant block Multimedia consists of the courses Signal Processing, Image Processing and Multimedia Analysis. This variant block teaches you how you can represent, process and analyse multimedia. For example, recognising songs from small audio fragments, recognising and reading number plates and speech recognition. Variant Block - Systems The variant block Systems consists of the subjects Digital Systems, Embedded Software and Operating Systems. This variant block allows you to learn more about hardware as well as optimising software for hardware systems. During this project you will make a robot which navigates a maze with a smartphone camera. Variant Block - Data The variant block Data consists of the courses Big Data Processing, Data Mining and Computational Intelligence. You will learn how a computer can deal with large quantities of data efficiently, how you can collect data intelligently and how you can extract useful patterns from the data Tijdens je tweede jaar mag je kiezen uit een van de drie variantblokken. Deze variantblokken geven je de kans om meer kennis op te doen in een richting van de informatica die je zelf interessant vindt. In the first half of the third and final year of your bachelor's degree programme you will start with a minor. You can select one from existing minors at TU Delft, such as Finance or Electrical Sustainable Energy Systems, or choose a minor at another university or study abroad. The degree programme finishes with the Research Project. This project is carried out individually at TU Delft or another university and involves research into a subject related to computer science. For example, this could involve implementing a new algorithm, and the necessary experimental tools to evaluate it against existing alternatives. Courses and competences Minor In the first semester of year 3 of the Bachelor’s degree programme, you will have the opportunity to spend six months broadening your horizons and exploring a subject that interests you, in the way that suits you best. Computer Science and Engineering students, for example, choose minors as Mathematical Finance or Robotica. Alternatively, you can broaden your perspective by choosing a minor at another university or a course abroad. A well-chosen minor can help you to find the career options that suit you, or decide which Master’s programme you want to do after your Bachelor's degree programme. More information about Minors

What will I learn?

In the first and second year, you absorb a lot of theory. You will learn to apply this theory during the projects of the Modelling course. You will also learn how to work on projects. After all, as an engineer, you need to be able to cooperate, present and communicate. In the third year, you will start with an elective: the so-called minor. Eventually, you will complete the bachelor's programme with a graduation assignment. After completion of the programme, you can add Bachelor of Science (BSc) to your name. Structure of the programme "Mathematics, a subject with infinite dimensions" - Joost de Groot Coordinator of the Bachelor of Applied Mathematics Distribution of courses 7% Optimisation 7% Stochastics 7% Discrete mathematics 10% Bachelor final project 10% Numerics and differential equation 13% Elective courses 13% Modelling 16% Analysis 17% Minor Study Guide Modules The first year The second year The third year The Applied Mathematics degree programme consists of five modules: Modelling and Applications Numerical Methods and Differential Equations Optimisation and Discrete Mathematics Analysis Stochastics The first year of the programme revolves around fundamental mathematics. These courses are a level up from secondary school. You will also learn about something completely new in courses which focus on reasoning. You will apply the theory you learn during the first two years in projects of the Modelling course. In the third year, you will take courses and do a minor. The degree programme is rounded off with the Bachelor’s graduation project. In addition to courses in fundamental mathematics, you will get started this year with mathematical modelling as well as learning how to present a mathematical solution. Other courses include probability theory, algebra and programming. You will also take a technology elective module. And because the mathematics at university is so different from that at secondary school, a lot of attention is paid to personal supervision. You will take part in a mentor group of ten students from the beginning of the first year. A faculty mentor will supervise you on study skills for two hours a week. In the second year, you will take eight compulsory mathematics courses, from fundamental to applied and from broad to in-depth. You will also get to choose an elective from a list of approximately five courses, such as Advanced Statistics and Decision Analysis. So you can customise the Applied Mathematics degree programme a bit. You will also work on a project, by modelling a mathematical physical problem, such as an epidemic.In the second year, you will take eight compulsory mathematics courses, from fundamental to applied and from broad to in-depth. You will also get to choose an elective from a list of approximately five courses, such as Advanced Statistics and Decision Analysis. So you can customise the Applied Mathematics degree programme a bit. You will also work on a project, by modelling a mathematical physical problem, such as an epidemic. Courses and competencies Real Analysis (AM2090) Building on the analysis courses Mathematical Structures and Linear Algebra, this course is an important foundation for later analysis and probability theory courses. The course is divided into two parts: metric spaces, and measurement and integration theory. At the end of the course, you will be able to understand, explain and apply the theory learned. Optimisation (AM2020) Are you interested in the mathematics underneath defining the shortest routes and matchings? In this course you will learn to view and solve these kinds of problems mathematically. For example: 'What are the best ambulance standby locations in a town (and how many are needed) to ensure that all areas of the town can be reached as quickly as possible?' This course deals with numerous algorithms, each of which solves a different general problem. Introduction to Statistics (AM2080) This course applies the knowledge acquired in Introduction to Probability Theory. Its components include making predictions and basing decisions on historical data. This involves being able to write an appropriate probability model in which the unknown parameters have to be estimated on the basis of the given data. Performing statistical analyses requires use of the statistical software package R, which you will learn to work with during this course. Linear Algebra 2 (AM2010) Linear Algebra 2 takes up where Linear Algebra 1 left off and deals with sets of vectors. These sets have special properties. While in Linear Algebra 1 you learn about calculations and all kinds of rules, in Linear Algebra 2 you will also learn the theory and properties, as with Mathematical Structures. Ordinary Differential Equations (AM2030) This course is an introduction to differential equations. A differential equation is an equation for which the solution is a function. The equation involves both the function and its derivative. A differential equation is not as easily solved as a linear or quadratic equation. You will therefore learn the many different ways of solving different kinds of differential equations. There are also several laboratory modules that demonstrate how important differential equations are to mathematically describing and solving practical problems. Modelling 2A and 2B (AM2050-A and AM2050-B) The structure of this course is similar to that of the first-year courses Modelling A and B. In the second year, part A involves working on a mathematical model for probability and statistics. In part B you will work on a mathematical-physical problem. One example of such a project could be creating a model of a flu epidemic. This would involve researching how the number of people affected increases and decreases over time as well as how the epidemic spreads in spatial terms. Numerical Methods 1 (AM2060) Some mathematical problems cannot be solved exactly, or not easily. This is where numerical methods come into the picture. These are methods that approach the solution of a problem rather than solving it exactly. An important part of this is the laboratory module, during which you will implement these methods in MATLAB. Partial Differential Equations (AM2070) This course also concerns methods of solving differential equations, but a different type of equation. The problems discussed in this course are practical ones and include, for example, a simple model of traffic congestion. It is important to consider not only the mathematical solution but also its interpretation. When you calculate the heat distribution of a bar, for instance, it is impossible to determine an infinite temperature. It might be possible mathematically, but is physically impossible. Complex Function Theory (AM2040) Complex Function Theory is actually another analysis course. In this case it concerns the application of functions to complex numbers and images that are also complex numbers. In effect, you will expand your understanding of the basic concepts of analysis to the complex domain. What's great about this is that these functions have very special properties. They can help you integrate functions that you were not yet able to integrate in Analysis 1 or 2, for example. Elective There is scope for a mathematical elective in the third quarter. The second-year electives are: Decision Theory (the application of probability theory and statistics to make decisions about problems with a degree of uncertainty), History of Mathematics (the history of mathematics is studied in work groups), Philosophy of Mathematics (the philosophy of mathematics is studied in work groups), Mathematical Models in Biology, Advanced Statistics (theory and application of generalised linear models, such as linear regression models), Applied Algebra: Codes and Cryptosystems (a course on the use of algebra to encrypt data and break codes, etc.) and Markov Processes (This is an introductory course on Markov chains, where time-discrete and continuous time Markov chains will be introduced, and their most fundamental basic properties studied). You will begin the first half of the third year with a minor. In the third quarter, you will take two electives, helping you to set your own course. You will also take an intensive course in presentation skills. The degree programme is rounded off with the Bachelor’s graduation project. This involves working on a mathematical or practically oriented problem, such as creating a strategy for the Nuna solar car in South Africa or modelling wound healing. This project lasts three months and enables you to demonstrate that you can tackle a problem independently, and present your finding adequately both orally and in writing. Minor Your minor is an opportunity to gain more in-depth knowledge of mathematics or another subject. This could be computer science or physics, for example, but could just as easily be medicine, law or indeed any other field of study. You are completely free in your choice of minor, which need not be relevant to your Bachelor's degree programme in Applied Mathematics. Electives Besides your minor, you also have freedom of choice in the form of electives. In the third year, you can choose two. The third-year electives are: Mathematical Physical Models (the application of the Partial Differential Equations course to such physical phenomena as heat conduction), Inverse Problems, Numerical Methods 2 (which follows on from Numerical Methods 1), Graph Theory (this course is about the mathematical theory of networks), Advanced Probability (theoretical treatment of analysis concepts that play a part in the calculation of probability), Fourier Analysis (theory and applications of Fourier series), Differential Geometry (The focus of this course will be on Riemannian geometry, the study of metric spaces in a smooth context), Topology (studies notions from previous subjects - such as open collections, convergence and compactness - in a broader context than that of metric spaces) and Mathematics Seminar. Bachelor Colloquium The Bachelor Colloquium forms a relatively small part of the Bachelor's final project. Here, students develop skills in the verbal presentation of a mathematical subject. Bachelor Project (TW3050) Your Bachelor's degree programme concludes with a Bachelor Project, which involves working on a mathematical or practically oriented problem. You choose a problem from one of the various research groups of the Mathematics department. The next step is to search for the relevant background literature and to translate the problem into a mathematical form. You will then solve the mathematical problem and subsequently translate the solution back into the practical situation. The project concludes with the submission of a thesis and delivery of a presentation.

Additional opportunities CSE

In addition to the course, various opportunities are offered for an extra challenge, to network or to develop yourself further during your studies. Or maybe instead of an extra challenge, you need some extra guidance during your studies. New experiences Internship and study abroad The third year includes a six-month minor, which is possible to follow abroad. This is a coherent programme of courses with which you can deepen or broaden your studies. Internships are not part of the CSE bachelor. Instead, the Software Project in year 2 is an opportunity to go to a company and work on an applied project. More about studying abroad Additional opportunities Honours Programme Delft Ambitious students who are looking for an extra challenge in addition to the standard curriculum can apply for The Delft Honours Programme. This is an addition to your regular study programme in the 2 nd and 3 rd year. It gives you the opportunity to gain additional knowledge within or outside your field, to work on your personal development and to collaborate with students from other study programmes. More about the Honours Programme Delft Dream teams At TU Delft you have the opportunity to be involved in unique student projects that bring students together from different disciplines. These amazing student projects include the world's fastest bicycle, fastest solar-powered car, and the altitude record for amateur-built rockets. Our teams compete in global competitions and achieve fantastic results that put TU Delft on the map. More about Dream Teams Elite sports Do you want to become a top athlete during your studies? TU Delft supports students who combine their studies with elite sports and invests in the development of talent inside and outside the lecture halls. As it is often difficult to combine a regular study programme with a top sports education, we offer special facilities for recognized top athletes. This includes coaching by study advisors and top sports coordinators, financial support in the form of the Graduation Support Regulations, sponsorship and access to the sports facilities at X. More about studying and top sport Honours Programme Delft Ambitious students who are looking for an extra challenge in addition to the standard curriculum can apply for The Delft Honours Programme. This is an addition to your regular study programme in the 2nd and 3rd year. It gives you the opportunity to gain additional knowledge within or outside your field, to work on your personal development and to collaborate with students from other study programmes. Dream teams At TU Delft you have the opportunity to be involved in unique student projects that bring students together from different disciplines. These amazing student projects include the world's fastest bicycle, fastest solar-powered car, and the altitude record for amateur-built rockets. Our teams compete in global competitions and achieve fantastic results that put TU Delft on the map. Elite sports Do you want to become a top athlete during your studies? TU Delft supports students who combine their studies with elite sports and invests in the development of talent inside and outside the lecture halls. As it is often difficult to combine a regular study programme with a top sports education, we offer special facilities for recognized top athletes. This includes coaching by study advisors and top sports coordinators, financial support in the form of the Graduation Support Regulations, sponsorship and access to the sports facilities at X. Academic counselling Each study programme has one or more study advisors that you can turn to with questions about the content of the programme, its organization and everything that comes with it. Do you have questions about matters that go beyond your academic education? Career and Counseling Services has a team of student counsellors, psychologists and study choice and career advisers who can support you. The service is based on 5 pillars: Basic Study Skills , Learning to Collaborate , Making Choices during your Study (choice of study), Career Development and Self-Knowledge & Self-Management . There are - mostly free - (online) workshops, training courses, online material, walk-in consultation hours and the possibility of one-on-one conversations. For questions about studying with a disability, you can find more information here .

Is CSE the right match?

Choosing the right programme is a tough choice. There is a lot on offer and what really suits you? Think carefully about what is important to you. Do you want to study subjects you are good at? Or a study with subjects you enjoy? Courses and interests The following themes are common in Computer Science & Engineering. If these are themes that you enjoy and suit you then this is a study for you. Mathematics Logic and data structures Software engineering, quality and testing Data Processing and representation Machine learning and AI Cybersecurity, human-computer interaction Applying knowledge in projects Working in teams, presenting, writing, researching Also read Brochure 1. When to choose for BSc CSE You enjoy: Solving societal problems Addressing the ‘why’ questions instead of only ‘how?’ Working together with other engineers and other disciplines Choosing the right programme is a tough choice. There is a lot on offer and what really suits you? Think carefully about what is important to you. Do you want to study subjects you are good at? Or a study with subjects you enjoy? Courses and interests The following themes are common in Computer Science & Engineering. If these are themes that you enjoy and suit you then this is a study for you. Mathematics Logic and data structures Software engineering, quality and testing Data Processing and representation Machine learning and AI Cybersecurity, human-computer interaction Applying knowledge in projects Working in teams, presenting, writing, researching Also read Brochure 1. When to choose for BSc CSE Matching & Selection The Bachelor's programme in Computer Science and Engineering at TU Delft has a Matching and Selection (Numerus Fixus) procedure. This means that all candidates are selected. Experience the programme Online introduction During this introduction to the bachelor’s degree programme Computer Science and Engineering, Felienne Hermans leads you through the topics modern database techniques, software testing and various programming languages. Interested? Check out what dates you can start the trial study and register! Student for a Day If you are in year 5 or 6 of pre-university education, why not get acquainted with the degree programme in real-time? You will spend a day literally shadowing a first-year student. You will attend a lecture, take part in the laboratory course or a project, get to see the faculty, eat in the cafeteria and visit the study association. You can take part in a shadow day from October to May. There are no fixed days when these are organised. Once you register, the student will contact you to plan a shadow day with you.

Georgina Lupu

My name is Georgiana-Adina Lupu, I am a 19 year old Romanian and I am a 1 st year Computer Science and Engineering student. How I got to choose this Bachelor? For starters, computers and Mathematics have always been two of my favourite subjects to discuss since early childhood. Since my father works in the cyber-security field, computers mostly surrounded me while I was growing up. I come from a family of engineers in the most part, so my parents also had quite high expectations of me as well, as I believe every parent has for their child. When I started high school, I entered a Mathematics and Computer Science Intensive English specialization. All of the technics introduced in the informatics classes were implemented in C++ as the main programming language. Throughout the high school years, I also attended a couple programming courses, where I learned Python and Java, and an ‘Introducing to Networks’ module. I dreamt of taking part in the developing technology world. My favourite subjects in high school were Maths, Informatics and English, so it was not really such a surprise for me or for my parents when I chose to follow a Computer Science programme in another country, and my parents fully supported me regarding my decision. Not only have I chosen to apply for TU Delft, as my first option for studying abroad, my relatives working in IT fields also suggested TU Delft to me because they heard good recommendations about the university from several sources. My experience at the TU so far has been surprising, may I say. The study is quite demanding and challenging, and you learn things at quite a high pace. My advice to students that wish to apply for Computer Science and Engineering at TU Delft would be to do it, if they are passionate about the field and the challenges that come with it, even if they do not have any experience (remember, you can always learn!). I always believed that if you have the motivation, you can achieve anything you put your mind to. In my opinion, TU Delft offers you one of the best opportunities to enhance your skills in this field area, and you will build great memories from it, as well!

Study choice

Online trial courses Are you seriously considering starting the BSc. Computer Science & Engineering programme? Then go ahead and follow the mini courses, taught by Felienne Hermans about modern database techniques, software testing and different programming languages and experience what it is like to be a Computer Science student. You will be guided online by a student, to whom you can direct all your questions. The programme of the online trial courses normally takes up three weeks and you usually spend two hours a week on classes and exercises. Sign up here ! 1-on-1 talk with a student Do you have questions you would like to ask a Computer Science student? The apply for a personal conversation via Skype! You can decide yourself if you would like to chat, call or videocall. Together with the student you decide what moment suits you best. Send an e-mail to voorlichting-ewi@tudelft.nl and then we’ll take up contact with you. Chat Chat with our students and ask them everything you want. How other students have made their study choice Read more about how other students have made their study choice Merel Steenbergen So my final decision was solely based on how I felt. Georgina Lupu I dreamt of taking part in the developing technology world. Charlotte Eijkelkamp I tried to visit a broad range of studies to be sure I would not end up in a tunnel vision. Other questions? Last but not least, you can always send your question via e-mail e-mail en Instagram .

Pravesh Moelchand

Towards the end of pre-university education, I was pretty sure that I wanted to study at TU Delft. I liked the atmosphere on campus and TU Delft's reputation also appealed to me. I'd always been interested in physics and electronics, but after attending Student for a Day events in Applied Physics, Electrical Engineering and Computer Science and Engineering, I knew for certain that I wanted to study Computer Science and Engineering. I really like the way the theory is taught. In the mornings, you usually have one or two lectures, and in the afternoons you work on assignments and projects based on the material you learnt in the morning. So you can put what you've learnt into practice immediately. I have no problem spending 40 hours a week on my degree programme. I see the fact that you have so many different modules in the first year as an advantage. It enables you to become acquainted with the various specialist fields in computer science, such as algorithms and data structures, software development and computer graphics. In the second year, you can then go on to specialise in a specific field. As from the second year, students who performed well in the first year have the additional opportunity of doing research in the Honours Programme. I'd really like to do that, next year. Research into quantum mechanics and computer science seems like a great challenge to me.

Sophie Walboomers

"The combination of programming, maths and in-depth computer knowledge is what gives the programme its variety" For a long time I didn’t know what I wanted to study at university. Computer Science seemed a good idea, but there were lots of other programmes that seemed interesting. I had my doubts: would I like it enough; would I be capable of doing it; did I really want to do a science subject? I just didn’t feel like a 'typical computer science student'. It was my taster day in Delft that clinched it for me: I liked computer science and the city and university really appealed to me. At the start, I found the programme very difficult. Unlike many other first-year students, I had no prior knowledge. Although it started with the basics, it moved really fast. However, because I really enjoyed the courses, I didn’t mind working that little bit harder. The content was just what I'd expected. The combination of programming, maths and in-depth computer knowledge is what gives the programme its variety. This diversity helps you gain a much better understanding of the subjects. For example, in Linear Algebra, you get a basic understanding of vectors and how you can calculate with them, which you can then apply in Computer Graphics to render great images on your computer! I also like the fact that the programme is so practical: almost every course has a practical assignment or project. So you can put what you've learnt into practice immediately.

Merel Steenbergen

During the process of choice, I noticed I had a lot of trouble with choosing the right study as I liked almost all the course I took in high school. However, I didn't feel like I loved any course enough to study something that had to do with it . Eventually, I picked the subjects that I liked most: mathematics and biology. Then I searched for studies in these areas and ended up at an Open Day for Molecular Science and Technology at the TU Delft. Since I lived far away from the TU Delft, I had to choose another programme to visit the presentation of to make it worth the trip. I ended up going to Computer Science and Engineering because it had to do with mathematics. I was sure from the moment I stepped into the hall of Molecular Science & Technology that I was in the wrong place. However, during the Computer Science & Engineering presentation I had this feeling that this study would fit me: I like solving puzzles and doing mathematics, I just don't want to study mathematics. I decided to go on a shadow day and did it quickly after the Open Day. On that day, I took the first train at 5.26 in the morning to be on time for the 8.45 lecture and you know what? I have never regretted that. I enrolled that evening and have never looked back.

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What trees teach us about sustainable production of materials

Trees are excellent teachers when it comes to making materials for load-bearing structures with as little resources and energy as possible. One of their secrets? When a tree grows, the direction of the wood grain adapts itself to fit the load that part of the tree is going to bear.

Exhale Sluitingsweek: A week of free events to say goodbye to Exhale and cosy up for Winter

De allerlaatste Exhale Week vindt plaats van 25 november tot 1 december en staat volledig in het teken van afscheid nemen van Exhale en het omarmen van de winter.

TIL student Laura Drechsel wins Q-Park thesis award

TIL student Laura Drechsel wins the 2024 Q-Park Student Award with her thesis called: Stories of Aging and Access - Exploring capabilities and challenges of accessibility for urban elderly through microstories. Her award-winning thesis can be found here .

Moving the Closet

You simply cannot miss it, it is big and magenta: the Pink Closet . On 12 November 2024 the Pink Closet will head to the Main Hall of the TU Delft Library for the first time! The Pink Closet will take its place at the Nook, where it will feature as part of the Studium Generale programme on loneliness. More information on events that coincide with and incorporate the Pink Closet at TU Delft Library will soon be available on the website of Studium Generale .

Green ammonia remains a challenge, but researchers make significant progress

The production of ammonia, essential for fertiliser production, is responsible for almost 1.5% of global carbon emissions. This needs to be greener, which is why researchers have been looking for sustainable alternatives for years.

"Measuring brain activity through the skull with ultrasound opens new doors"

PhD Candidate Rick Waasdorp is looking for ways to correct the distortion caused by the skull when using Ultrasound technology. ‘’My goal is to develop an adaptive method for skull corrections that automatically measures the skull of new patients.’’

NWO funding for flexible power demand in electrically driven industry

NWO is funding two projects to explore ways to make the power demand of industry more flexible, allowing it to better align with future energy supplies. One of these projects, “DEFLAME,” is led by Machteld van den Broek from TU Delft.

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

The ENHANCE Diversity Seed Fund

Are you a student at TU Delft or another ENHANCE university with a passion for promoting diversity and inclusion? The ENHANCE Diversity Seed Fund is your chance to turn that passion into action. ENHANCE provides funding to support innovative, student-led projects that address key challenges related to inclusion and diversity within our academic communities. Key Details: Funding Available: Up to 1500 Euros per project in the 1st round! Eligibility: Students from ENHANCE member universities. Staff can also join student-led initiatives. Application Deadline: 8 January 2025. More information: Join the online Information Event on the 26 November 2024 16:00-17:00 CET on Zoom . More information: enhanceuniversity.eu/diversity/diversityseedfund/

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

Design and imagination as essential tools during the climate crisis

In Nature Partner Journals, ten researchers advocate the use of imagination in tackling the climate crisis. They focus specifically on urbanising river deltas, which are of great social and economic importance and highly vulnerable to climate change. "We scientists should not merely outline doomsday scenarios," says Professor Chris Zevenbergen. "Create a vision for people to believe in and work towards.”

Inaugural address: machine optimisation key to more efficient logistics system

The processing and transport of materials can be made much more efficient, says TU Delft professor Dingena Schott in her inaugural address, ‘Advancing Transport and Processing: from Model to Impact’. She will deliver her address on 15 November. Her research focuses on the interaction between machines and materials, with a special emphasis on granular materials.

FAST University Fund invites all TU Delft students

FAST University Fund invites all TU Delft students to apply for the Ambitious Project Grant or the Event Grant of up to €15.000!

Education demonstration in Utrecht cancelled

Safety cannot be guaranteed In our post of 22 October , we announced that students and staff of TU Delft will have the opportunity to take part in protests against the cabinet's plans to cut higher education. Today it has been announced that the demonstration against the cuts to higher education and science on 14 November in Utrecht has been cancelled because the safety of the demonstrators cannot be guaranteed. Read the reaction of Universiteiten van Nederland to the cancellation of the education demonstration in Utrecht (Dutch only).

Young Investigator Award for Gabrielle Laloy-Borgna

Gabrielle has won the technical Young Investigator Award at Euroson 2024 (congress of the European Federation of Ultrasound Societies in Medicine and Biology) with her presentation entitled: “Ultrasound imaging in bones: tissue characterization, anatomical images
and blood flow measurements”.

Ilaria Orsi joined ImPhys as PhD student

Ilaria started her PhD program in the Renaud group about ultrasound imaging inside bones, contributing to the advancement of such non-invasive technique to characterize tissue composition and to quantify blood flow.

First prize for ZhenZhen Wu at the 2024 NWO Biophysics poster awards

ZhenZhen Wu's poster, “Absolute Voltage Imaging in Developing Zebrafish,” won first prize in the 2024 NWO Biophysics poster awards, competing against over 150 posters. The BioPM Poster Prizes are awarded to the best posters presented at the NWO Biophysics Conference, and the winners are selected by a jury. ZhenZhen Wu z.wu-3@tudelft.nl

Enrolment for new courses open on 13 November

The new courses will start from Monday 18 November. Enrolment for these starts from Wednesday 13 November at 08.00! In the second quarter, a new series of courses awaits you. You can find out more on the website. Maybe you already know that you want to attend your favourite course again or maybe you want to discover and try something new; it's all possible. The enrolment moment for the course depends on the day the course takes place. At 08:00 enrolments for Monday's courses open, at 10:00 for Tuesday's courses, at 12:00 for Wednesday's courses, at 14:00 for Thursday's courses and at 16:00 for courses on Friday, Saturday and Sunday. Enrolments go fast Enrolment for our courses always runs fast, so don't wait too long or be surprised by a course where spots are still available! Enrolment closes Enrolment closes on Friday 22 November at 16.00.

Contributions of SPTL at the CVS Congress (21-22 November, Utrecht)

On November 21 and 22, the 51st edition of the CVS congress is held in the Railway museum in Utrecht. Members of the Smart Public Transport Lab contribute to the following sessions: Knus in de bus op dinsdag; zijn alle werkdagen nog wel hetzelfde? Thursday, November 21, 16:00-17:30 Julia Bickel, Maxim Meijers and Niels van Oort [abstract] Stedelijkheidsgraden in transportmodellen: Een analyse over de impact van de ruimtelijke omgeving op reisgedrag Thursday, November 21, 16:00-17:30 Janine Grauss, Justin Hogenberg and Niels van Oort [abstract] Van en naar het treinstation: Voorkeuren van reizigers voor gedeelde elektrische micromobiliteit Friday, November 22, 11:30-13:00 Nejc Geržinič, Mark van Hagen, Dorine Duives and Niels van Oort [ abstract ] Gamen maakt de toekomst – Serious gamen voor een optimale mobiliteitsmix Friday, November 22, 11:30-13:00 Tessa Leferink, Niels van Oort and Sander Lenferink [abstract] De verkenning van de potentie van fietsparkeren bij het ov: een casus in Den Haag Madeline Lai, Dorine Duives, Stefan Talen, Nejc Geržinič and Niels van Oort Friday, November 22, 14:00-15:30 [abstract]

A key solution to grid congestion

On behalf of the TU Delft PowerWeb Institute, researchers Kenneth Brunninx and Simon Tindemans are handing over a Position Paper to the Dutch Parliament on 14 November 2024, with a possible solution to the major grid capacity problems that are increasingly cropping up in the Netherlands. The Netherlands is unlikely to meet the 2030 climate targets, and one of the reasons for this is that large industry cannot switch to electricity fast enough, partly because of increasingly frequent problems around grid capacity and grid congestion. In all likelihood, those problems will actually increase this decade before they can decrease, the researchers argue. The solution offered by the TU Delft PowerWeb Institute researchers is the ‘flexible backstop’. With a flexible backstop, the current capacity of the power grid can be used more efficiently without sacrificing safety or reliability. A flexible backstop is a safety mechanism that automatically and quickly reduces the amount of electricity that an electric unit can draw from the grid (an electric charging station or a heat pump) or deliver (a PV installation). It is a small device connected or built into an electrical unit, such as a charging station or heat pump, that ‘communicates’ with the distribution network operator. In case of extreme stress on the network, the network operator sends a signal to the device to limit the amount of power. Germany recently introduced a similar system with electric charging stations. The backstop would be activated only in periods of acute congestion problems and could help prevent the last resort measure, which is cutting off electricity to users. ‘Upgrading the electricity network remains essential, but in practice it will take years. So there is a need for short-term solutions that can be integrated into long-term planning. We, the members of the TU Delft PowerWeb Institute, call on the government, network operators and regulator to explore the flexible backstop as an additional grid security measure,’ they said. The entire Paper can be read here . Kenneth Brunninx Associate Professor at the Faculty of Engineering, Governance and Management, where he uses quantitative models to evaluate energy policy and market design with the aim of reducing CO2 emissions. Simon Tindemans is Associate Professor in the Intelligent Electrical Power Grids group at Faculty of Electrical Engineering, Mathematics and Computer Science. His research interests include uncertainty and risk management for power grids. TU Delft PowerWeb Institute is a community of researchers who are investigating how to make renewable energy systems reliable, future proof and accessible to everyone.