Groningen, a province in the northeast of the Netherlands, is experiencing earthquakes due to the extraction of gas. This phenomenon is called induced seismicity. But what is induced seismicity? And how can the risk to life safety and the consequences for the built environment be reduced? The Groningen situation is unique and for this reason, solutions for the built environment cannot simply be copied from abroad. To contribute to a basic understanding of the various topics in this field, knowledge lectures have been developed as Open Course Ware by a large number of scientists and practitioners.

This Open Course Ware is initiated by TU Delft in cooperation with Arup, TU Eindhoven and TNO. This public and private initiative combines engineering, architecture and management perspectives. The 30 video lectures provide conceptual knowledge of seismicity and basic seismic concepts. This knowledge is then related to the different structures and their behaviour under seismic loading. Finally, in the last theme more procedural knowledge will be outlined, related to the multidisciplinary challenges in Groningen.

Water is essential for life on earth and of crucial importance for society. Also within our climate water plays a major role. The natural cycle of ocean to atmosphere, by precipitation back to earth and by rivers and aquifers to the oceans has a decisive impact on regional and global climate patterns.

This course will cover six main topics:

Global water cycle. In this module you will learn to explain the different processes of the global water cycle.
Water systems. In this module you will learn to describe the flows of water and sand in different riverine, coastal and ocean systems.
Water and climate change. In this module you will learn to identify mechanisms of climate change and you will learn to explain the interplay of climate change, sea level, clouds, rainfall and future weather.
Interventions. In this module you will learn to explain why, when and which engineering interventions are needed in rivers, coast and urban environment.
Water resource management. In this module you will learn to explain why water for food and water for cities are the main challenges in water management and what the possibilities and limitations of reservoirs and groundwater are to improve water availability.
Challenges. In this module you will learn to explain the challenges in better understanding and adapting to the impact of climate change on water for the coming 50 years.

Many of today’s global challenges require tech-driven solutions — climate change, the growth of the world population, cyber security, the increasing demand for scarce resources, digitalization, the transition from fossil fuels to renewable energy. With this in mind, it is no surprise that one fourth of the CEOs of the world’s 100 largest corporations have an engineering degree.

Solving these global problems requires leaders who, in the first place, are comfortable with technology, models and quantitative analyses — Leaders who see systems instead of isolated problems. However, simply understanding technology is not enough. Successful leaders today must have both the ideas and the know-how to put these ideas into action by working collaboratively with others, winning their hearts and minds.

We need leaders who know how to seize opportunities in a networked world, and can mobilize people and other stakeholders for large-scale change. Leaders who lead fulfilling lives and who are able to move themselves and others from the ‘me’ to the ‘we’. Leaders who are long-term oriented and who deliver economic profit, while also making positive contributions to society and the environment. We call these leaders ‘sustainable leaders’.

Dit vak gaat over het berekenen van spanningen, stromen en vermogens in elektrische circuits met bronnen, weerstanden, spoelen en condensatoren. In het eerste deel worden de componenten geïntroduceerd en de basisberekeningsmethoden aangeleerd. In het tweede deel worden de technieken uit het eerste deel toegepast op tweede-orde circuits, circuits met sinusvormige spanningen en stromen, magnetisch gekoppelde circuits en vermogenscircuits. Verder is er veel aandacht voor filters, frequentieresponsies, tweepoorten en de Laplace transformatie

The course linear modeling delivers the skillset in linear or structural modeling that is required to solve structural problems from which you can develop finite element (FE) models for practical applications. It also teaches how results can be correctly interpreted. The course uses an open source FE package in a series of weekly practical sessions where models are constructed for sample problems and results are validated against simplified analytical models or open literature.

How do populations grow? How do viruses spread? What is the trajectory of a glider?

Many real-life problems can be described and solved by mathematical models. In this course, you will form a team with another student and work in a project to solve a real-life problem.

You will learn to analyze your chosen problem, formulate it as a mathematical model (containing ordinary differential equations), solve the equations in the model, and validate your results. You will learn how to implement Euler’s method in a Python program.

If needed, you can refine or improve your model, based on your first results. Finally, you will learn how to report your findings in a scientific way.

This course is mainly aimed at Bachelor students from Mathematics, Engineering and Science disciplines. However it will suit anyone who would like to learn how mathematical modeling can solve real-world problems.

This course is an introduction to measurement technology and describes the theoretical foundations and practical examples of measurement systems. The analyzing of measurements problems and specifying of measurements systems are the main subjects that are treated in this course, where the main focus will be on the different kind of measurement errors and the concept of uncertainty in measurement results. Electronic measurement instrumentation will be introduced; a number of conventional sensors for the measurement of non-electronic variables will be described, as well as electronic circuits for the reading of the sensors.-Analyzing of measurement problems-Describing of measurement problems -Analyzing the measurement quantity-Analyzing the measurement boundaries for a quantity to be measured in different circumstances-Professional use of the measurement system-Describing the operating principle of conventional instruments for electronic measurements.-Comparing the available measurement instruments on the basis of quality and accuracy.-Realization of simple measurement setups.-Using the electronic sensor for the measurement of non-electronic variables.-Using a simple signal processing circuits for the reading of the sensors.-Analyzing, presenting and interpreting of measurement results;-Recognizing and describing of error sources.

This course, Measurements for Water is in Dutch, but the following parts are in English:Lectures: Waterbalans Water balance)ReadingsDit vak gaat in op het hoe te doen van typische metingen op het vakgebied van gezondheidstechniek (waterkwaliteit), hydrologie, waterbeheer, waterbouw en vloeistofmechanica (waterkwantiteit).Onderdelen hierin zijn: het herkennen van de relevante parameters, leren over meetmethodes, meetapparatuur, nauwkeurigheid, opstellen van een meetplan, veiligheid, het zelf doen van metingen (laboratorium e/o in het veld) en bewerken en verwerken van gegevens.In een workshop wordt er geleerd met beschikbare electronica componenten een eigen meetsensor te bouwen.Leerdoelen- In staat zijn aan te geven welke parameters van belang zijn bij een bepaald proces- In staat zijn aan te geven hoe de parameters gemeten kunnen worden- Geschikte meetapparatuur kunnen kiezen- Een meetplan kunnen maken (uitvoering, tijd, duur, kosten, veiligheid)- Basis principes electronica in de meettechniek begrijpen en kunnen toepassen

Mechatronic system design deals with the design of controlled motion systems by the integration of functional elements from a multitude of disciplines. It starts with thinking how the required function can be realised by the combination of different subsystems according to a Systems Engineering approach (V-model).

Some supporting disciplines, like power-electronics and electromechanics, are not part of the BSc program of mechanical engineers. For this reason this course introduces these disciplines in connection with PID-motion control principles to realise an optimally designed motion system.
The target application for the lectures are motion systems that combine high speed movements with extreme precision.
The course covers the following four main subjects:

Dynamics of motion systems in the time and frequency domain, including analytical frequency transfer functions that are represented in Bode and Nyquist plots.
Motion control with PID-feedback and model-based feed forward control-principles that effectively deal with the mechanical dynamic anomalies of the plant.
Electromechanical actuators, mainly based on the electromagnetic Lorentz principle. Reluctance force and piezoelectric actuators will be shortly presented to complete the overview.
Power electronics that are used for driving electromagnetic actuators.
The fifth relevant discipline, position measurement systems is dealt with in another course: WB2303, Electronics and measurement.
The most important educational element that will be addressed is the necessary knowledge of the physical phenomena that act on motion systems, to be able to critically judge results obtained with simulation software.
The lectures challenge the capability of students to match simulation models with reality, to translate a real system into a sufficiently simplified dynamic model and use the derived dynamic properties to design a suitable, practically realiseable controller.
This course increases the understanding what a position control system does in reality in terms of virtual mechanical properties like stiffness and damping that are added to the mechanical plant by a closed loop feedback controller.

It is shown how a motion system can be analysed and modelled top-down with approximating (scalar) calculations by hand, giving a sufficient feel of the problem to make valuable concept design decisions in an early stage.
With this method students learn to work more efficiently by starting their design with a quick and dirty global analysis to prove feasibility or direct further detailed modelling in specific problem areas.

System design is the central topic of this course. We move beyond the methods developed in circuit design (although we shall have interest in those) and consider situations in which the functional behavior of a system is the first object under consideration.

Non-Linear Structural Modeling covers the basics of non-linearities in the Finite Element Method (FEM), considering static and stability (buckling) analyses, and practical application thereof applied to both aerospace and non-aerospace examples. Special emphasis is put on the implementation of these non-linearities in a FEM model and any issues that might arise from incorporating these

Are you an engineer, scientist or technician? Are you dealing with measurements or big data, but are you unsure about how to proceed? This is the course that teaches you how to find the best estimates of the unknown parameters from noisy observations. You will also learn how to assess the quality of your results.

TU Delft’s approach to observation theory is world leading and based on decades of experience in research and teaching in geodesy and the wider geosciences. The theory, however, can be applied to all the engineering sciences where measurements are used to estimate unknown parameters.

The course introduces a standardized approach for parameter estimation, using a functional model (relating the observations to the unknown parameters) and a stochastic model (describing the quality of the observations). Using the concepts of least squares and best linear unbiased estimation (BLUE), parameters are estimated and analyzed in terms of precision and significance.

The course ends with the concept of overall model test, to check the validity of the parameter estimation results using hypothesis testing. Emphasis is given to develop a standardized way to deal with estimation problems. Most of the course effort will be on examples and exercises from different engineering disciplines, especially in the domain of Earth Sciences.

This course is aimed towards Engineering and Earth Sciences students at Bachelor’s, Master’s and postgraduate level.

Part 2 of offshore hydromechanics (OE4630) involves the linear theory of calculating 1st order motions of floating structures in waves and all relevant subjects such as the concept of RAOs, response spectra and downtime/workability analysis.

Offshore Hydromechanics includes the following modules:1. Hydrostatics, static floating stability, constant 2-D potential flow of ideal fluids, and flows in real fluids. Introduction to resistance and propulsion of ships. Review of linear regular and irregular wave theory. 2. Analytical and numerical means to determine the flow around, forces on, and motions of floating bodies in waves. 3. Higher order potential theory and inclusion of non-linear effects in ship motions. Applications to motion of moored ships and to the determination of workability. 4. Interaction between the sea and sea bottom as well as the hydrodynamic forces and especially survival loads on slender structures.

How can governments become more open and transparent, while simultaneously dealing with various challenges, such as data sensitivity? How can open government data be used to improve policy making? Which technologies are available to make governments more open and to use open government data?

Governments all over the world aim to become more open and transparent in order to establish closer ties with their constituents. However, opening government involves complex challenges and poses two major areas of concerns. First, many different stakeholders are involved and there are various dependencies between them, and second, the technologies that support open government are fragmented. In addition, it is unclear how different contexts should alter the best practices for open government.

This course explores the foundations and objectives of Open Government and examines current developments, including the opening and reuse of governmental data such as the release of data by governments in America and Europe.

This course will empower you, by helping you grasp the key principles surrounding open government.

Mathematics is the language of Science, Engineering and Technology. Calculus is an elementary Mathematical course in any Science and Engineering Bachelor. Pre-university Calculus will prepare you for the Introductory Calculus courses by revising four important mathematical subjects that are assumed to be mastered by beginning Bachelor students:

functions,
equations,
differentiation,
integration.

Preuniversity Calculus has been awarded with the Award for Open Education Excellence in the Open MOOC category in 2016.

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.

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

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.