How can you tell a secret when everyone is able to listen in? In this course, you will learn how to use quantum effects, such as quantum entanglement and uncertainty, to implement cryptographic tasks with levels of security that are impossible to achieve classically.

This interdisciplinary course is an introduction to the exciting field of quantum cryptography, developed in collaboration between QuTech at Delft University of Technology and the California Institute of Technology.

By the end of the course you will

Be armed with a fundamental toolbox for understanding, designing and analyzing quantum protocols.
Understand quantum key distribution protocols.
Understand how untrusted quantum devices can be tested.
Be familiar with modern quantum cryptography – beyond quantum key distribution.
This course assumes a solid knowledge of linear algebra and probability at the level of an advanced undergraduate. Basic knowledge of elementary quantum information (qubits and simple measurements) is also assumed, but if you are completely new to quantum information additional videos are provided for you to fill in any gaps.

Quantum Information Processing aims at harnessing quantum physics to conceive and build devices that could dramatically exceed the capabilities of today's "classical" computation and communication systems. In this course, we will introduce the basic concepts of this rapidly developing field.

There is no doubt that quantum computers and the quantum internet will have a great impact on our world. But we don’t yet know quite how. As with traditional computers – we will only see the effects in the decades to come.

This course will provide you with a basic understanding of quantum computing and the quantum internet. Together, we’ll peek into the fascinating world of quantum phenomena, such as qubits, superposition, and entanglement.

We’ll envision the potential impact of quantum computing and the quantum internet.

You’ll explore various application areas, such as quantum chemistry, quantum machine learning, encryption and secure communication, factorization, and blind quantum computation.

The course is aimed at a broad and diverse audience including policy-makers, people with a scientific or personal interest, business executives, and students at all levels.

We invite you on a journey beyond what is known to us now, and to envision a world with quantum technologies.

This journey will continue in a second course planned for May 2018, where we will expand from an understanding of the building blocks of Quantum Computers to look at further applications and possibilities.

This course is authored by experts from the QuTech research center at Delft University of Technology. In the center scientists and engineers work together to enhance research and development in quantum technology. QuTech Academy’s aim is to inspire, share and disseminate knowledge about the latest developments in quantum technology.

Have you ever wondered what it takes to get your train on the right platform at the scheduled time every day?

Understanding the complexity behind today’s sophisticated railway systems will give you a better insight into how this safe and reliable transportation system works. We will show you the many factors which are involved and how multiple people, behind the scenes, have a daily task that enables you to get from home to work. Journey with us into the world of rail – a complex system that connects people, cities and countries.

Railway systems entail much more than a train and a track. They are based on advanced technical and operational solutions, dealing with continuously changing demands for more efficient transport for both passengers and freight every day. Each system consists of many components that must be properly integrated: from trains, tracks, stations, signaling and control systems, through monitoring, maintenance and the impact on cities, landscape and people. This integration is the big challenge and the source of many train delays, inconvenient connections and other issues that impact our society.

This engineering course attempts to tackle those issues by introducing you to a holistic approach to railway systems engineering. You will learn how the system components depend on each other to create a reliable, efficient and state-of-the-art network.

Het vak Redeneren en Logica gaat over redeneringen en hun geldigheid. Een redenering bestaat uit een aantal premissen, en een conclusie. Een redenering is geldig wanneer de conclusie altijd waar is wanneer de premissen dat zijn. Het kan, wanneer een redenering geldig is, dus niet voorkomen dat de premissen waar zijn, en de conclusie onwaar. Zo'n situatie heet een tegenvoorbeeld, en dat toont aan dat een redenering ongeldig is. Wanneer een redenering geldig is, heet hij een stelling ("theorem" in het engels), en kan men de conclusie afleiden uit de aannanme dat de premissen waar zijn. Zo'n afleiding heet een bewijs.

Deze cursus gaat over de representatie, analyse and regeling van lineare tijd-invariante dynamische systemen. Zowel de overdrachts functie als toestands modellen worden behandeld.

Veel aandacht zal worden gegeven aan het schetsen en interpreteren van bode, root-locus en nyquist plots voor de analyse van systeem stabiliteit en feedback regeling. In dit kader worden de concepten van versterking en fase marge, statische en dynamische compensatie behandeld. De verschillende compensatie methodes die onder de aandacht worden gebracht zijn: PD-compensatie, lead compensatie, PI compensatie, lag compensatie en PID compensatie.

Andere regel theoretische aspecten zoals sensitiviteits functies, robuustheid, tijdsvertraging, control en pool plaatsing van toestands beschrijvingen worden ook behandeld.

It is expected that Students who take part in this course have completed almost all courses of their MSc and are about to start on their Master Orientation project, their Literature Study or MSc thesis depending on their chosen MSC track.

It is of little value to take this course early, so please plan accordingly!
Course Contents The aim of the course is to be a research-driven preparation for the aerospace engineering MSc thesis in the final year of the MSc. It will help you prepare for the challenges of your thesis work.

The course will consist of 7 lectures and will be taught online using video lectures in periods 1, 2 and 3 and face-to-face using traditional lectures in period 4.

The lecture set up is as follows:
1. Research Design in MSc - Introduction to research, research framework
2. Research Methods - Stages of a project, Research objective, research questions, research strategy, research methods
3. Data Analysis - Quantitative & Qualitative methods
4. Validation & Verification - How to validate & verify your work?
5. Project Management & Peer review of draft Project plan - How to manage your project and your thesis progress. Project plan peer review
6. Planning - How to plan, expectations, Gannt Charts
7. Literature Review - How to carry out a scientific literature review? Differences between review and research

Please be advised that all lectures are also available via Blackboard for those following the online version. It is possible to do this course by distant learning, attendance in the 4th period, though highly appreciated, is not mandatory!
Study Goals At the end of the course the student will:
- be aware of the expectations of an MSc student
- be able to formulate a research question and research aim
- be able to set up a research plan for their MOP/Literature Study/MSc thesis
- be able to write a literature review based on the research plan with a view to select appropriate methodologies for their MOP/MSc thesis

Education Method (Online) Lectures, Assignments and voluntary Peer review of each others research plans and literature studies

Innovation may bring a lot of good to society, but innovation is not a good in itself. History provides many examples of new technologies that have had serious negative consequences or that simply just failed to address significant societal challenges.

This course discusses the concept of responsible innovation, its meaning and its significance by addressing the societal implications of new technologies and showing how we might incorporate ethical considerations into technical innovations.

In this course, we will:
discuss the concept of responsible innovation, the individual and collective responsibility and the ethical issues regarding innovation
discuss tools and approaches to responsible innovation, like Value Sensitive Design (VSD)
investigate the economic aspects of responsible innovation
introduce constructive technology assessment
elucidate the relation between risk and responsible innovation
We will do so on the basis of technological case studies. Cases that will be discussed are, among others, nanotechnology, offshore wind parks, Google car, nuclear power, cloud computing, smart meters for electricity, robots in the care sector (carebots), low budget meteorological weather stations in Africa and CO2 capture and storage.

During the course you may team-up with your fellow students to discuss the case studies in an international context. Moreover, students are encouraged to bring their own cases in dedicated discussion fora.

This course is for all those interested in the relationship between technological innovations, ethics and society. It is especially relevant for industry, public, and academic professionals working on developing innovative technologies and students following a traditional technical curriculum who are interested in key value questions attached to their studies.

Responsible business practices are widely recognized as Corporate Social Responsibility (CSR). In this course we aim to extend these practices to the Research and Development (R&D) and innovation processes of companies. This is called Responsible Research and Innovation (RRI).

RRI enables companies to anticipate social and ethical issues and integrate them into the innovation and design processes and business strategy right from the start.

This course demonstrates how RRI, as a key element of CSR, can help firms to be innovative, more profitable and at the same time have positive societal and environmental impact.

In this course we analyze the relevance of RRI, including drivers and barriers, for firms of different sizes and in different sectors, and the implications for corporate governance. We show the results and lessons learned from eight pilot studies in innovative businesses across Europe working in different areas (such as nanotechnology, data and automotive) when they integrated RRI in their innovation process and business strategy.

This textbook is based on the MOOC Responsible Innovation offered by the TU Delft. It provides a framework to reflect on the ethics and risks of new technologies. How can we make sure that innovations do justice to social and ethical values? How can we minimize (unknown)risks?
The book explains:
•The concept and importance of responsible innovation for society
•Key ethical concepts and considerations to analyse the risks of new technologies
•Different types of innovation (e.g. radical, niche, incremental, frugal)
•Roadmap for Responsible Innovation by Industry
•The concept of Value Sensitive Design (VSD)
It includes a link to all the web lectures as well as case studies ranging from care robots and nuclear energy to Artificial Intelligence and self-driving vehicles.

You’ll learn about today’s urban challenges focusing on developing countries, referred to as the global south. We will debate the benefits of three pathways, going beyond traditional urban strategies and policies:

1. Spatial justice

Spatial justice is undoubtedly one of the greatest challenges of urban contexts in emerging economies.

2. Housing Provision and Management

Increasing demand in the global south calls for alternative approaches in housing provision and management.

3. Urban Resilience

Understanding resilience not as a mere struggle for survival, but as an opportunity to build better urban environments.

We will discuss question such as:

Is the just city framework applicable in cities with extreme socio-economic inequality?
Can community-led housing initiatives provide effective solutions for households in need?
How can resilience support development instead of perpetuating a disadvantaged condition?

This course deals with the basic principles and design aspects of sanitary engineering infrastructure. This comprises: drinking water supply and treatment, sewerage and wastewater treatment. Study goals: Insight in technological aspects of the urban water infrastructure

Global Satellite Navigation Systems (GNSS), such as GPS, have revolutionized positioning and navigation. Currently, four such systems are operational or under development. They are the American GPS, the Russian Glonass, the European Galileo, and the Chinese Beidou-Compass. This course will address: (1) the technical principles of Global Navigation Satellite Systems (GNSS), (2) the methods to improve the accuracy of standard positioning services down to the millimeter accuracy level and the integrity of the systems, and (3) the various applications for positioning, navigation, geomatics, earth sciences, atmospheric research and space missions. The course will first address the space segment, user and control segment, signal structure, satellite and receiver clocks, timing, computation of satellite positions, broadcast and precise ephemeris. It will also cover propagation error sources such as atmospheric effects and multipath. The second part of the course covers autonomous positioning for car navigation, aviation, and location based services (LBS). This part includes the integrity of GNSS systems provided for instance by Space Based Augmentation Systems (e.g. WAAS, EGNOS) and Receiver Autonomous Integrity Monitoring (RAIM). It will also cover parameter estimation in dynamic systems: recursive least-squares estimation, Kalman filter (time update, measurement update), innovation, linearization and Extended Kalman filter. The third part of the course covers precise relative GPS positioning with two or more receivers, static and kinematic, for high-precision applications. Permanent GPS networks and the International GNSS Service (IGS) will be discussed as well. In the last part of the course there will be two tracks (students only need to do one): (1) geomatics track: RTK services, LBS, surveying and mapping, civil engineering applications (2) space track: space based GNSS for navigation, control and guidance of space missions, formation flying, attitude determination The final lecture will be on (scientific) applications of GNSS.

Programming continues to be a an important skill in the modern world. Childhood is a great time start learning programming and to develop computational thinking creativity, and problem- solving skills!

This course teaches programming in Scratch through fun videos which explains programming in an inspiring and clear way. These are accompanied with assignments which let kids to practice programming and create programs they will like to use themselves!

On a weekly basis, we will be creating a game: a maze, an aquarium, a Flappy Bird Game and a Super Mario look-a-like. Every week, new programming blocks are taught and together we’re working on ways to improve your written code.

This course is an English version of a course that was used in primary schools in The Netherlands with great success. The material follows the educational curriculum for programming in primary education of The Netherlands.

Do you want to participate with more children? Create a personal account for every child or pupil in order for them to work at their own pace. Once they have fulfilled the entire course and were upgraded to the ID Verified track, a Scratch diploma with their names will be handed out.

Programming is becoming a more and more important skill to have. Childhood is a great time to start learning programming and to develop computational thinking, creativity, and problem- solving skills. In this course you will learn the basics of programming and how to teach it yourself as a primary or secondary school teacher.

This MOOC teaches programming in Scratch through fun videos which explain programming in an inspiring and clear way.

Every week you build a different Scratch project yourself: a flappy bird game, a virtual pet or a Mondriaan like artwork. Also weekly, new programming blocks are taught and together we’re working on ways to improve your written code. In addition, you will learn how you can integrate the same programming lessons in your class for both primary and secondary education.

Many programming principles covered in Scratch also apply to other programming languages such as JavaScript and Python. An introduction to Python as well as hardware such as robotics and a micro:bit are a part of this online course should you want to broaden your scope.

The content of this course is based on a course that was used in primary schools in The Netherlands with great success. The material follows the educational curriculum for programming in primary education of The Netherlands.

This is a course for Dutch (Bachelor) students who need or want to pay some extra attention to their English language skills. In this course you will find four modules with theory and exercises on Listening, Grammar, Vocabulary and Writing. We will also give you links to useful websites. We strongly recommend that you do not try to do this course in as short a time as possible: learning skills takes time, so you will benefit optimally from the course if you spend weeks, rather than days on it.

In dredging, trenching, (deep sea) mining, drilling, tunnel boring and many other applications, sand, clay or rock has to be excavated.The book covers horizontal transport of settling slurries (Newtonian slurries). Non-settling (non-Newtonian) slurries are not covered.

The smart grid of the future is a complex electrical power system. Its study, design, and management requires the integration of knowledge from various disciplines including sustainability, technology and mathematics.

Smart grids show a level of complexity and heterogeneity that often cannot be covered by analytical methods. Therefore, modeling and simulation are of great importance.

In this course, you will apply modeling tools to study and analyze the performance of your self-designed intelligent electrical power grid. By modeling smart grids, you will explore the integration of renewable energy sources into a grid, its dynamics, control and cyber security.

The smart grid of the future is a complex electrical power system. Its study, design, and management requires the integration of knowledge from various disciplines including sustainability, technology and mathematics.

In this course, you will be introduced to the definition of a smart grid, its heterogeneity, dynamics, control, security and assessment strategies. The challenge of modeling such a system is also discussed. A group of researchers will offer their expertise on these topics and will introduce the modeling method which will be used in the second course of this program.

Advanced semiconductor devices are a new source of energy for the 21st century, delivering electricity directly from sunlight. Suitable semiconductor materials, device physics, and fabrication technologies for solar cells are presented in this course. The guidelines for design of a complete solar cell system for household application are explained. Cost aspects, market development, and the application areas of solar cells are presented.