The principles of rock mechancis explains the fundamental concepts of continuum mechanics and rheology as applied in studies of rock deformation. A thorough understanding of rock behavior is essential for strategic planning in the petroleum and mining industry, in construction operation, and in locating subsurface repositories. The formation of geological structures or rock deformation patterns, studied by geodynamicists and tectonicians, is, also governed by the mechanical principles outlined in this textbook. The aim of the present book is obvious: to inspire a new generation of positively forward-thinking geoscientists and engineers, skillful in and favorable to the practical application of mechanics to rock structures.

This course teaches students to conduct a systematic exploratory analysis for complex policy
problems in a multi-actor environment. The goal of such an exploratory analysis is to develop a
better understanding of the various dimensions involved in a complex problem, based on which an
agenda for meaningful further in-depth analysis activities can be developed.
The course consists of a part containing methods and applications, and a part containing theory to
provide insight into the capabilities and limitations of policy analyses within a multi-actor process.
Upon successful completion of the course, the student is able to structure complex policy problems
and set up an agenda for meaningful subsequent analysis.

1. Introduction to Process Intensification (PI):
- sustainability-related issues in process industry;
- definitions of Process Intensification;
- fundamental principles and approaches of PI.

2. How to design a sustainable, inherently safer processing plant
- presentation of PI case study assignments.

3. PI Approaches:
- STRUCTURE - PI approach in spatial domain (incl. "FOCUS ON" guest lecture)
- ENERGY - PI approach in thermodynamic domain
- SYNERGY - PI approach in functional domain
- TIME - PI approach in temporal domain
Study Goals
Basic knowledge in Process Intensification

In dit vak leert de student programmeren in een procedurele programmeertaal en wel in C. Aan de orde komen onder meer: fundamentele programmeerconstructies (datatypen, toekennings-, keuze-, en herhalingsopdrachten), procedurele abstractie (methoden en parameters) en data-abstractie (arrays, structures). Verder wordt behandeld: het gebruik van dynamische datastructuren zoals lijsten en binaire bomen, het lezen en schrijven van files en het gebruik van een compiler. Ter illustratie zullen een aantal algoritmen worden behandeld zoals priemgetallen generatie, grootste gemene deler en sorteren.

Are you involved in the development and execution of technical projects and eager to know what it takes to fund a project successfully? Would you like to be more in touch with the latest developments in project finance and able to use these to your advantage? If so, you’re in the right place!

This course will provide you with the fundamental knowledge and necessary tools to create the optimum financing structure for your project and enhance its potential to attract funding.

The approach taken is both theoretically sound and practically relevant. This is achieved by using case studies to illustrate the topics, as well as assignments that give learners first-hand experience in what it takes to put together a financeable project.

At the end of the course, you’ll understand what is required to achieve successful project financing.

Those who work on infrastructure and industrial projects, especially, will need to have a good understanding of how project financing works and how project investors and lenders think and assess the risks of a project.

Projects are increasingly set up through cooperation between different groups of stakeholders such as Public Private Partnerships (PPPs). Project contracts are evolving to facilitate and structure such co-operations, which has in turn led to a range of novel contracts and methods of financing.

Underestimating project complexity is widely accepted as one of the major causes of project failure. Based on international benchmarking activities (Merrow, 2010), we know that an average of 40% of projects do not deliver what they promised; for megaprojects in the oil and gas industry this figure is even worse (Ernst&Young, 2014).

As with most external factors, many of the causes and consequences of complexity are difficult to avoid or control. When dealing with complexity, standard practices in the field of project management often overlook the inherent uncertainties linked to the length and scale of engineering and infrastructure projects and their constantly changing environments. The situation is exacerbated by rapidly evolving technologies and social change.

Attempts to overcome these challenges by simply trying to reduce their causes is not enough.

In this course, you will learn our approach to mastering complexity, focused on front-end development and teamwork, which will help you develop the skills you need to make timely actions in order to tackle complexities and improve your chances of project success. You will learn how to enhance your own capacities and capabilities by ensuring you have the necessary balance of complementary skills in your team.

Project success starts with recognizing the main drivers of complexity, which can be highly subjective and highly dynamic. In this course, you will learn to identify what makes a project complex and how to perform a complexity assessment.

Examining the elements of a project (such as interfaces, stakeholders, cultures, environment, technology, etc.) and their intricate interactions is key to mastering complexity.

You will analyze these elements in the context of your own project. Then, based on our complexity framework, you will identify the complexity footprint of your project and use it to adapt your management processes. With personalized guidance and feedback from our world-class instructors, you will learn how to recognize what competencies you need to develop and how to adapt your management style accordingly, not only to improve project performance but also to enhance your decision-making capacity.

Are you a (project) engineer with a technical background but lack management knowledge? Are you eager to improve project performance and want to expand your knowledge?

This business and management course will focus on the necessary project management skills to successfully manage projects, distinguishing three areas:

The project manager and the team
The project process
The project context

The course focuses on the early project phases, including examples from technical projects within various sectors and industries (amongst others, but not limited to, infrastructure projects and construction projects).

At the end of this course, you will have created your own project execution plan, either in a team effort or on individual basis. Of course, the team effort allows for a special learning experience and we appraise active team participation.

De cursus 'Project Maritieme industrie' is een cursus speciaal voor beginnende studenten Maritieme Techniek. Tijdens deze cursus wordt de student bekend gemaakt met de TU Delft, met name met het onderwijsprogramma Maritieme Techniek. Er wordt gevraagd een vervoersconcept te onwikkelen, op basis van een vervoersvraag en een aantal randvoorwaarden. Hierbij behorend dient de student een scheepsconcept te ontwikkelen.

A framework of public hygiene and epidemiology is given. Human pathology related to water and sanitation is dealt with, as well as the relation between health and society and environment. The student will get insight in the consequences of his/her interventions to the public health. The civil engineer who works in the health field has to be able to communicate adequately with health authorities and medical doctors, in The Netherlands as well as abroad.

Water transport through pipes, pressure losses, (pressure) network design and building, pump selection, pumping stations, power supply, quantitative reliability, operation and maintenance.

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.