The course will discuss the objectives and functions of water management systems for irrigation and drainage purposes. Analysing system requirements in terms of technical engineering constraints, management possibilities and water users (wishes and options) is central. This includes the design and operation of regulation structures, dams, reservoirs, weirs and conveyance systems; balancing water supply and water requirements in time and space is a main focus of analysis too.

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’.

Runway extension, construction of works in protected areas, subsidizing sustainable projects... they all happen within a design space, limited amongst others by legal rules and requirements. To make optimal use of the design space, you have to know about these rules and requirements. When does a contract have to be tendered out, what rules are then applicable, what can be subsidized and what are the restrictions, how to comply with air quality requirements and can a frog really block a project? What alternative designs can be given in order to avoid legal problems? These and other problems will be addressed in this course.

Vakinhoud:
- Leren rekenen met vectoren en matrices.
- De methode van rijreductie voor het oplossen van lineaire systemen.
- De begrippen lineair onafhankelijk, span en basis
- Elementaire lineaire transformaties, de begrippen surjectief en injectief.
- De begrippen deelruimte, basis en dimensie en voorbeelden hiervan.
- Eigenwaardes en eigenvectoren van een matrix.
- Dit vak is een combinatie van de vakken Lineaire Algebra 1 en Lineaire Algebra 2 die bij andere TU-opleidingen aangeboden worden.

Leerdoelen:
- Het kennen van basisbegrippen, het gebruik van basismethodes.
- Het maken van logische afleidingen met behulp van deze begrippen en methodes

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.

De student die dit vak met goed gevolg heeft doorlopen zal in staat zijn om: (1) Op basis van eigenschappen en gedrag onder externe invloeden een klassificatie te maken van materialen en op basis daarvan een eerste indruk te krijgen van hun geschiktheid in bepaalde toepassingen. (2) Inzicht te verkrijgen in de rol van materialen, materiaalgebruik en materiaalontwikkeling in de ontwikkeling, kwaliteit, mogelijkheden en bedreigingen van de samenleving afhankelijk van tijd, plaats en cultuur. Dit inzicht is gebaseerd op objectieve data. (3) Vast te stellen welke materiaaleigenschappen van kritisch belang zijn in mechanische en andere werktuigbouwkundige ontwerpen, en met behulp van eenduidige criteria materiaalkeuzes in de ontwerpcriteria van constructies te optimaliseren. De belangrijkste eigenschappen die aan de orde komen zijn dichtheid, stijfheid, sterkte, plasticiteit, breuk, vermoeiing, wrijving, slijtage. (4) Mechanische eigenschappen van materialen te herleiden tot chemische bindingen, onderlinge krachten, ordeningspatronen, defecten, en relatieve bewegingsmogelijkheden van atomen. De verschillende lengteschalen die materiaaleigenschappen bepalen staan hierbij centraal. Hiermee zal tevens inzicht verkregen worden in de mogelijkheden en beperkingen van materialen onder extreme omstandigheden en in de strategieën die gevolgd kunnen worden om materialen te verbeteren. (5) Optimale keuzes te maken binnen het beschikbare spectrum van procestechnieken (productie, bewerking, vorming, verbinding, afwerking) om componenten en eindproducten te vervaardigen. (6) Software te gebruiken waarmee, gegeven een aantal vereisten van materiaaleigenschappen, het beste materiaal voor een ontwerp kan worden geselecteerd. Deze materiaaleigenschappen gaan verder dan mechanische eigenschappen alleen. Thermische, elektrische, ecologische, economische en recycling-eigenschappen zullen in voorkomende gevallen ook meegewogen worden.

Mathematics explained: Here you find videos on various math topics:

Pre-university Calculus (functions, equations, differentiation and integration)
Vector calculus (preparation for mechanics and dynamics courses)
Differential equations, Calculus
Functions of several variables, Calculus
Linear Algebra
Probability and Statistics

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

In Mechanics and Relativity, the reader is taken on a tour through time and space. Starting from the basic axioms formulated by Newton and Einstein, the theory of motion at both the everyday and the highly relativistic level is developed without the need of prior knowledge. The relevant mathematics is provided in an appendix. The text contains various worked examples and a large number of original problems to help the reader develop an intuition for the physics. Applications covered in the book span a wide range of physical phenomena, including rocket motion, spinning tennis rackets and high-energy particle collisions.

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.

Mesoscopic physics is the area of Solid State physics that covers the transition regime between macroscopic objects and the microscopic, atomic world. The main goal of the course is to introduce the physical concepts underlying the phenomena in this field.

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.

Modelling is about understanding the nature: our world, ourselves and our work. Everything that we observe has a cause (typically several) and has the effect thereof. The heart of modelling lies in identifying, understanding and quantifying these cause-and-effect relationships.

A model can be treated as a (selective) representation of a system. We create the model by defining a mapping from the system space to the model space, thus we can map system state and behaviour to model state and behaviour. By defining the inverse mapping, we may map results from the study of the model back to the system. In this course, using an overarching modelling paradigm, students will become familiar with several instances of modelling, e.g., mechanics, thermal dynamics, fluid mechanics, etc.

Infrastructures for energy, water, transport, information and communications services create the conditions for livability and economic development. They are the backbone of our society. Similar to our arteries and neural systems that sustain our human bodies, most people however take infrastructures for granted. That is, until they break down or service levels go down.

In many countries around the globe infrastructures are ageing. They require substantial investments to meet the challenges of increasing population, urbanization, resource scarcity, congestion, pollution, and so on. Infrastructures are vulnerable to extreme weather events, and therewith to climate change.
Technological innovations, such as new technologies to harvest renewable energy, are one part of the solution. The other part comes from infrastructure restructuring. Market design and regulation, for example, have a high impact on the functioning and performance of infrastructures.

The course describes in a simple and practical way what non-equilibrium thermodynamics is and how it can contribute to engineering fields. It explains how to derive proper equations of transport from the second law of thermodynamics or the entropy production. The obtained equations are frequently more precise than used so far, and can be used to understand the waste of energy resources in central process units in the industry. The entropy balance is used to define the energy efficiency in energy conversion and create consistent thermodynamic models. It also provides a systematic method for minimizing energy losses that are connected with transport of heat, mass, charge and momentum. The entropy balance examines operation at the state of minimum entropy production and is used to propose some rules of design for energy efficient operation. For this course some knowledge of engineering thermodynamics is a prerequisite. The first and second law of thermodynamics and terms as entropy should be known before starting this course.

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

In this book we discuss several numerical methods for solving ordinary differential equations. We emphasize the aspects that play an important role in practical problems. We confine ourselves to ordinary differential equations with the exception of the last chapter in which we discuss the heat equation, a parabolic partial differential equation. The techniques discussed in the intro-ductory chapters, for instance interpolation, numerical quadrature and the solution to nonlinear equations, may also be used outside the context of differential equations. They have been in-cluded to make the book self-contained as far as the numerical aspects are concerned. Chapters, sections and exercises marked with a * are not part of the Delft Institutional Package.
The numerical examples in this book were implemented in Matlab, but also Python or any other programming language could be used. A list of references to background knowledge and related literature can be found at the end of this book. Extra information about this course can be found at http://NMODE.ewi.tudelft.nl, among which old exams, answers to the exercises, and a link to an online education platform. We thank Matthias Moller for his thorough reading of the draft of this book and his helpful suggestions.