Students and professionals in science, design and technology have to develop and communicate concepts that are often difficult to comprehend for the public, their peers and even themselves.

IMAGE | ABILITY – Visualizing the Unimaginable, will help you enhance your communication and interpersonal skills and provide insight, tips and tricks to make such complex and seemingly unimaginable concepts and ideas imaginable.

After finishing this course you will be more skilled in finding the right visual language to convey your ideas, thoughts and vision. You will be able to illustrate units and quantities, concepts and themes and you will know how to unravel complexity by using diagrams and schemes.

Learn about the implementation and practical aspects of Artificial Intelligence and how to write a plan for applying AI in your own organization in a step-by-step manner.

This course is not about difficult algorithms and complex programming; it is a course for anyone interested in learning how to integrate AI into their own organization.

To understand how current Artificial Intelligence applications can be successfully integrated in organizations, we look at different examples. For instance, how ING uses reinforcement learning for personalized dialog management with its customers or how Radboud UMC uses diagnostic image analysis to discover early stages of infectious diseases.

As part of our two-course program ‘AI in Practice’, this course will guide you in the practical aspects of applying AI in your own organization. You will examine typical applications of AI in use already and learn from their experience. These include challenges of implementation, lifecycle aspects, as well as the maintenance and management of AI applications.

The course presents a variety of case studies from actual situations in public organizations and private enterprises in the healthcare, financial, retail and telecommunications sectors. These include Radboud UMC, the Municipality of Amsterdam, ING, Ahold Delhaize and KPN.

‘AI in Practice – Applying AI’ gives you the ammunition to understand the practical aspects required for the implementation of a variety of AI applications in your organization.

Learn the fundamentals and principal AI concepts about clustering, dimensionality reduction, reinforcement learning and deep learning to solve real-life problems.

Learn the fundamentals of machine learning to help you correctly apply various classification and regression machine learning algorithms to real-life problems.

A one-stop shop to get started on the key considerations about data for AI! Learn how crowdsourcing offers a viable means to leverage human intelligence at scale for data creation, enrichment and interpretation, demonstrating a great potential to improve both the performance of AI systems and their trustworthiness and increase the adoption of AI in general.

The course treats the following topics: - Relevant physical oceanography - Elements of marine geology (seafloor topography, acoustical properties of sediments and rocks) - Underwater sound propagation (ray acoustics, ocean noise) - Interaction of sound with the seafloor (reflection, scattering) - Principles of sonar (beamforming) - Underwater acoustic mapping systems (single beam echo sounding, multi-beam echo sounding, sidescan sonar) - Data analysis (refraction corrections, digital terrain modelling) - Applications (hydrographic survey planning and navigation, coastal engineering) - Current and future developments.

This course introduces the basic components of an airframe structure and discusses their use and limitations. The realities of composite design such as the effect of material scatter, environmental knockdowns, and damage knockdowns are discussed and guidelines accounting for these effects and leading to robust designs are presented.

The resulting design constraints and predictive tools are applied to real-life design problems in composite structures. A brief revision of lamination theory and failure criteria leads into the development of analytical solutions for typical failure modes for monolithic skins (layup strength, buckling under combined loads and for a variety of boundary conditions) and stiffeners (strength, column buckling under a variety of loads and boundary conditions, local buckling or crippling for one-edge and no-edge-free conditions). These are then combined into stiffened composite structures where additional failure modes such as skin-stiffener separation are considered. Analogous treatment of sandwich skins examines buckling, wrinkling, crimping, intra-cellular buckling failure modes. Once the basic analysis and design techniques have been presented, typical designs (e.g. flange layup, stiffness, taper requirements) are presented and a series of design guidelines (stiffness mismatch minimization, symmetric and balanced layups, 10% rule, etc.) addressing layup and geometry are discussed. On the metal side, the corresponding design practices and analysis methods are presented for the more important failure modes (buckling, crippling) and comparisons to composite designs are made. A design problem is given in the end as an application of the material in this Part of the course.

This course will focus for a large part on MOSFET and CMOS, but also on heterojunction BJT, and photonic devices.First non-ideal characteristics of MOSFETs will be discussed, like channel-length modulation and short-channel effects. We will also pay attention to threshold voltage modification by varying the dopant concentration. Further, MOS scaling will be discussed. A combination of an n-channel and p-channel MOSFET is used for CMOS devices that form the basis for current digital technology. The operation of a CMOS inverter will be explained. We will explain in more detail how the transfer characteristics relate to the CMOS design.

This course is about the electronic properties of materials and contains lectures about scattering, transport in metals, phonons and superconductivity.

This course is designed to introduce students who wish to specialize in stress analysis of thin-walled structures to more advanced topics such as the analysis of statically indeterminate structures, warping, constraint stresses, shear diffusion, and elements of plate bending.

How can you reduce the energy loss of your home? What is the underlying science of energy loss in pipes? Which heat and mass transfer problems do we have to tackle to make consumer products?

In this engineering course, you will learn about the engineering principles that play an important role in all of these and more phenomena. You will learn about microbalances, radiation, convection, diffusion and more and their applications in everyday life.

This advanced course is for engineers who want to refresh their knowledge, engineering students who are eager to learn more about heat/mass transport and for all who have fun in explaining the science of phenomena in nature.

Building on Complex Adaptive Systems theory and basic Agent Based Modeling knowledge presented in SPM4530, the Advanced course will focus on the model development process. The students are expected to conceptualize, develop and verify a model during the course, individually or in a group. The modeling tasks will be, as much as possible, based on real life research problems, formulated by various research groups from within and outside the faculty.
Study Goals The main goal of the course is to learn how to form a modeling question, perform a system decomposition, conceptualize and formalize the system elements, implement and verify the simulation and validate an Agent Based Model of a socio-technical system.

Our human society consists of many intertwined Large Scale Socio-Technical Systems (LSSTS), such as infrastructures, industrial networks, the financial systems etc. Environmental pressures created by these systems on Earth‰ŰŞs carrying capacity are leading to exhaustion of natural resources, loss of habitats and biodiversity, and are causing a resource and climate crisis. To avoid this sustainability crisis, we urgently need to transform our production and consumption patterns. Given that we, as inhabitants of this planet, are part of a complex and integrated global system, where and how should we begin this transformation? And how can we also ensure that our transformation efforts will lead to a sustainable world? LSSTS and the ecosystems that they are embedded in are known to be Complex Adaptive Systems (CAS). According to John Holland CAS are "...a dynamic network of many agents (which may represent cells, species, individuals, firms, nations) acting in parallel, constantly acting and reacting to what the other agents are doing. The control of a CAS tends to be highly dispersed and decentralized. If there is to be any coherent behavior in the system, it will have to to arise from competition and cooperation among the agents themselves. The overall behavior of the system is the result of a huge number of decisions made every moment" by many individual agents. Understanding Complex Adaptive Systems requires tools that themselves are complex to create and understand. Shalizi defines Agent Based Modeling as "An agent is a persistent thing which has some state we find worth representing, and which interacts with other agents, mutually modifying each other‰ŰŞs states. The components of an agent-based model are a collection of agents and their states, the rules governing the interactions of the agents and the environment within which they live." This course will explore the theory of CAS and their main properties. It will also teach you how to work with Agent Based Models in order to model and understand CAS.

This course treats various methods to design and analyze datastructures and algorithms for a wide range of problems. The most important new datastructure treated is the graph, and the general methods introduced are: greedy algorithms, divide and conquer, dynamic programming and network flow algorithms. These general methods are explained by a number of concrete examples, such as simple scheduling algorithms, Dijkstra, Ford-Fulkerson, minimum spanning tree, closest-pair-of-points, knapsack, and Bellman-Ford. Throughout this course there is significant attention to proving the correctness of the discussed algorithms. All material for this course is in English. The recorded lectures, however, are in Dutch.

An introductory course in analog circuit synthesis for microelectronic designers. Topics include: Review of analog design basics; linear and non-linear analog building blocks: harmonic oscillators, (static and dynamic) translinear circuits, wideband amplifiers, filters; physical layout for robust analog circuits; design of voltage sources ranging from simple voltage dividers to high-performance bandgaps, and current source implementations from a single resistor to high-quality references based on negative-feedback structures.

Software testing gets a bad rap for being difficult, time-consuming, redundant, and above all – boring. But in fact, it is a proven way to ensure that your software will work flawlessly and can meet release schedules.

In a two-course series, we will teach you automated software testing in an inspiring way. We will show you that testing is not as daunting a task as you might think, and how automated testing will make you a better developer who programs excellent software.

This second course builds upon the first course’s material. It covers more advanced tools and techniques and their applications, now utilizing more than just JUnit. Key topics include Test-Driven Development, state-based and web testing, combinatorial testing, mutation testing, static analysis tools, and property-based testing.

This is a highly practical course. Throughout the lessons, you will test various programs by means of different techniques. By the end, you will be able to choose the best testing strategies for different projects.

Have you ever wondered why ventilation helps to cool down your hot chocolate? Do you know why a surfing suit keeps you warm? Why iron feels cold, while wood feels warm at room temperature? Or how air is transferred into aqueous liquids in a water treatment plant? How can we sterilize milk with the least amount of energy? Or how do we design a new cooling tower of a power plant?

Transport Phenomena addresses questions like these and many more, exploring a wide variety of applications ranging from industrial processes to daily life problems and even to bioprocesses in our own body.

In Transport Phenomena, the transport and transfer of momentum, heat and mass are studied. To understand these processes which often take place simultaneously, the underlying concepts will be covered in this course.

Design of shoreline protection along rivers, canals and the sea; load on bed and shoreline by currents, wind waves and ship motion; stability of elements under current and wave conditions; stability of shore protection elements; design methods, construction methods. Flow: recapitulation of basics from fluid mechanics (flow, turbulence), stability of individual grains (sand, but also rock) in different type of flow conditions (weirs, jets), scour and erosion. Porous Media: basic equation, pressures and velocities on the stability on the boundary layer; groundwater flow with impermeable and semi-impermeable structures; granular filters and geotextiles. Waves: recapitulation of the basics of waves, focus on wave forces on the land-water boundary, specific aspects of ship induced waves, stability of elements under wave action (loose rock, placed blocks, impermeable layers) Design: overview of the various types of protections, construction and maintenance; design requirements, deterministic and probabilistic design; case studies, examples Materials and environment: overview of materials to be used, interaction with the aquatic environment, role of the land-water boundary as part of the ecosystem; environmentally sound shoreline design.

If you’re a coastal engineer, ecologist or planner, then this is the course for you. You already know that engineering and ecological principles are not enough to realize nature-friendly solutions in practice. You need people on your side!

In this course you will learn how to build a relevant coalition of stakeholders to support the design and implementation of ecosystem-based hydraulic infrastructures. After learning basic stakeholder mapping and game theory techniques, you will apply Social Design Principles to a Building with Nature ecosystem-based design case. This will equip you to identify promising collaborative arrangements for your engineering or planning practice.

The course builds on the previous Building with Nature MOOC, which explored the use of natural materials and ecological processes in achieving effective and sustainable hydraulic infrastructure designs, distilling Engineering and Ecological Design Principles. In this course, the missing element of Social Design Principles are developed and taught.

You’ll learn from renowned Dutch engineers and international environmental scientists, who work at the technical- governance interface. Iconic examples such as the Maasvlakte II expansion to Rotterdam Harbor and the Delfland Sand Engine Mega-nourishment serve as study material. The challenges in designing and implementing these nature-friendly hydraulic infrastructures are explored by the eminent professors who were responsible for their genesis.

Join us in becoming one of the new generation of engineers, ecologists and planners who see the Building with Nature integrated design approach as critical to hydraulic engineering, nature and society.

While big data infiltrates all walks of life, most firms have not changed sufficiently to meet the challenges that come with it. In this course, you will learn how to develop a big data strategy, transform your business model and your organization.

This course will enable professionals to take their organization and their own career to the next level, regardless of their background and position.

Professionals will learn how to be in charge of big data instead of being subject to it. In particular, they will become familiar with tools to:

assess their current situation regarding potential big data-induced changes of a disruptive nature,
identify their options for successfully integrating big data in their strategy, business model and organization, or if not possible, how to exit quickly with as little loss as possible, and
strengthen their own position and that of their organization in our digitalized knowledge economy
The course will build on the concepts of product life cycles, the business model canvas, organizational theory and digitalized management jobs (such as Chief Digital Officer or Chief Informatics Officer) to help you find the best way to deal with and benefit from big data induced changes.

The course Bio-Inspired Design gives an overview of non-conventional mechanical approaches in nature and shows how this knowledge can lead to more creativity in mechanical design and to better (simpler, smaller, more robust) solutions than with conventional technology. The course discusses a large number of biological organisms with smart constructions, unusual mechanisms or clever sensing and processing methods and presents a number of technical examples and designs of bio-inspired instruments and machines.

Biomechatronics is a contraction of biomechanics and mechatronics. In this course the function and coordination of the human motion apparatus is the central focus, and the design of assistive devices for the support of the function of the motion apparatus.

Have you ever asked what “biobased” means or wondered about the key aspects in developing and commercializing biobased products? This course will answer those questions and more; highlighting the opportunities, hurdles, and driving forces of the bioeconomy.

Today’s industries face enormous global challenges when it comes to the fossil-based economy. Fossil resources are no longer a desirable feedstock for many products and governments’ climate goals put various limitations to its usage. Moreover, consumer perception has become an increasingly important factor. With biobased products as an alternative to the fossil-based economy, the bioeconomy can provide viable solutions to these challenges.

The course describes the different types of biomass, the methods of refinery and typical conversion technologies used for biobased products. You’ll also engage in a study of the practical and real-life examples emerging in the market: biopolymers, bioenergy, bioflavours, and biosurfactants.

The course has been developed by a team of experts from seven different institutions and universities in three different countries, all sharing their personal perspectives on the opportunities and challenges faced by the biobased industry. The three top-ranked institutions Delft University of Technology, RWTH Aachen University, and Wageningen University & Research offer additional, more advanced courses to continue your learning journey:

Industrial Biotechnology: a more advanced course that digs deeper into engineering aspects of bio-based products.
MicroMasters Chemistry and Technology for Sustainability: Help drive the transition from fossil sources to renewable energy ones and engineer a biobased future.
Sustainable Development: The Water-Energy-Food Nexus: Introduction to sustainable development and its relation to the Water-Energy-Food Nexus.

This course presents a design philosophy and a design approach, dedicated to rehabilitation technology. This field was selected because of human-machine interaction is inherent and vital. Illustrative examples will be discussed by their entire design process

Design and construction of breakwaters and closure dams in estuaries and rivers. Functional requirements, determination of boundary conditions, spatial and constructional design and construction aspects of breakwaters and dams consisting of rock, sand and caissons.

The course is concerned with the concept of structural stability. This concept is applied to discrete and continuous basic structural elements (beams, frames, plates and shells). The fundamental concepts are introduced on the basis of the governing differential equations. The course includes the following topics:

*Equations of motion, nonlinear equilibrium equations, stationary potential energy criterion.
*Stability analysis for the basic structural elements.
*Design methods for stability of basic structural elements.

There is no doubt that the quantum computer and the quantum internet have many profound applications, they may change the way we think about information, and they could completely change our daily life.

But how do a quantum computer and a quantum internet work? What scientific principles are behind it? What kind of software and protocols do we need for that? How can we operate a quantum computer and a quantum internet? And which disciplines of science and engineering are needed to develop a fully working system?

In a series of two MOOCs, we will take you through all layers of a quantum computer and a quantum internet. The first course will provide you with the scientific basis by explaining the first layer: the qubits. We will discuss the four types of qubits that QuTech research center at Delft University of Technology focuses on: topological qubits, Spin qubits, Trans qubits and NV Centre qubits. We will teach you the working principles of qubits and, at the same time, the working principles of a computer made of these qubits.

In the upcoming second course, we will introduce the other layers needed to build a quantum computer and a quantum internet, such as the micro-architecture, compilers, quantum error correction, repeaters and quantum algorithms.

These two courses offer you an opportunity to deepen your knowledge by continuing the journey started in our first MOOC, which focused on the applications of a quantum computer and a quantum internet.

Note that these courses offer a full overview of the layers of a quantum computer and a quantum internet, and therefore they will not go into too much detail per layer. For learners seeking to fully understand one specific topic we can recommend other courses authored by QuTech:

There is no doubt that the quantum computer and the quantum internet have many profound applications, they may change the way we think about information, and they could completely change our daily life.

But how do a quantum computer and a quantum internet work? What scientific principles are behind it? What kind of software and protocols do we need for a quantum computer and a quantum internet? Which disciplines of science and engineering are needed to develop these? And how can we operate a fully working system?

In this series of two courses, we take you through all layers of a quantum computer and a quantum internet. In part 1 we explained the first layer: the qubits. We introduced the most promising quantum platforms and discussed how to do quantum operations on the physical qubits. In part 2 we will introduce the other layers needed to build and operate a quantum computer and a quantum internet, such as the quantum classical interface, micro-architecture, compilers, quantum error correction, networks and protocols and quantum algorithms.

These two courses offer you an opportunity to deepen your knowledge by continuing the journey started in our first course, which focused on the applications of a quantum computer and a quantum internet.

Note that these courses offer a full overview of the layers of a quantum computer and a quantum internet, and therefore they will not go into too much detail per layer. For learners seeking to fully understand one specific topic we can recommend other courses authored by QuTech:

In the field of Quantum Internet: Quantum Cryptography
In the field of topological phenomena: Topology in Condensed Matter
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.

Urban design, inequality and segregation are strongly connected.

Cities around the world, from the Global South to the Global North, are facing a rise in inequality and socio-economic segregation. The wealthy are increasingly concentrating in the most attractive urban areas and poverty is spreading to the suburbs. Rising levels of segregation have major consequences for the social sustainability of cities and leads to unequal life opportunities depending on where in the city you live.

In this course, aimed at a broad range of professionals, from urban planners and architects to geographers, you will learn what the main drivers and indicators of urban inequality and segregation are, using examples from cities from all over the world. You will learn how segregation is measured, how to interpret the results of the analyses of segregation and how to relate these insights to urban design. With this knowledge, you will be able to analyze how these issues may be affecting your local environment.

Additionally, we will present some historical examples of how urban design has played a role shaping spatial inequality and segregation in a selection of case study cities. This will help you to get a better understanding of how urban design can reduce spatial inequality and segregation.

The course is taught by the editors of the new SpringerOpen book “Urban socio-economic segregation and income inequality. A global perspective” and senior experts from the Urban Design section of TU Delft, which is ranked number 2 in the QS World University Rankings in the field of Architecture.

Designing a new business model is one thing, but how do you actually put it into practice? How do you move from your current model to a new business model?

In this business and management course, you will learn how to make a practical action plan to implement your new business model.

You will create a business model roadmap that will include practical activities that take into consideration the possible risks associated with moving to a new business model.

You will also learn about the practical factors that need to be taken into consideration during the transition process, i.e. the competency of your people and your IT, in order to successfully implement a new business model.

Do you want to enhance your business model by creating a clear focus or implement your new business model innovation into your IT?

In this business and management course, we will discuss business model agility and how specific business model metrics will help you focus on the overall goals of our business.

You will also learn about advanced tools to help support the bridge between business model thinking and IT implementation.

The world is changing rapidly and full of uncertainties. The future success of a business model depends on how well it is adapted to changing circumstances. Do you want to become aware of the relevant developments in technology, markets and society? And understand how this affects your business?

This business and management course will teach you how to stress test your business model. You will learn how to identify the relevant trends and uncertainties and how they impact your business model. You will analyse the strong and weak parts of your business model and look for opportunities to make your business model more robust and future proof.

You will learn through real-world examples from well-known companies and interact with fellow entrepreneurs. By the end of this course, you will be able to stress test your own business model to analyse its future success.

Tijdens de cursus Caleidoscoop worden verschillende aspecten belicht waarmee de eerstejaarsstudenten worden voorzien van basisvaardigheden en basiskennis die noodzakelijk zijn voor het succesvol volgen van een studie in de wiskunde.

Summary: Cavitation is the transition of a fluid into vapour due to local reduction of pressure which is generated by high local flow velocities. The transition of a fluid into vapour also occurs during cooking of water by an increase of the local temperature. The term cavitation is generally reserved for conditions in which the temperature of the bulk fluid is not changed. Although cavitation can occur in many situations this course focuses on ship hydrodynamics and ship propellers. The course is divided into five main groups: physics, types and effects of cavitation as well as calculations and test facilities and techniques. Some of these topics are illustrated with the use of videos. (Study goals:) 1. Reproduce the main lines in a selection of the latest developments in the field of propulsion and resistance hydrodynamics, where the current selection of propulsion and resistance topics includes unsteady hydrodynamics of the flow over a foil, cavitation forms, problems and tools for analysis and design, propulsion systems in a service environment and ship drag reduction by air lubrication. 2. Analyse a hydrodynamic problem in the propulsion and resistance area, into well defined sub problems that can be analysed with state of the art knowledge and tools 3. Select the appropriate theory or tool (either numerical or experimental) for an analysis of the identified problem. 4. Reproduce and present to an audience, the main lines in a contemporary publication from the field of Propulsion and Resistance hydrodynamics. 5. Understand, interpret and react to questions from the audience and the lecturer and in doing so, stimulate the scientific debate.

Our global society is not sustainable. We all know about the challenges we’re facing: waste, climate change, resource scarcity, loss of biodiversity. At the same time, we want to sustain our economies and offer opportunities for a growing world population. This course is about providing solutions we really believe in: a Circular Economy.

In this course we explore the Circular Economy: how businesses can create value by reusing and recycling products, how designers can come up with amazingly clever solutions, and how you can contribute to make the Circular Economy happen.

Building construction is one of the most waste producing sectors. In the European Union, construction alone accounts for approximately 30% of the raw material input. In addition, the different life-cycle stages of buildings, from construction to end-of-life, cause a significant environmental impact related to energy consumption, waste generation and direct and indirect greenhouse gas emissions.

The Circular Economy model offers guidelines and principles for promoting more sustainable building construction and reducing the impact on our environment. If you are interested in taking your first steps in transitioning to a more sustainable manner of construction, then this course is for you!

In this course you will become familiar with circularity as a systemic, multi-disciplinary approach, concerned with the different scales, from material to product, building, city, and region.

Some aspects of circularity that will be included in this course are maximizing reuse and recycle levels by closing the material loops. You will also learn how the Circular Economy can help to realign business incentives in supply chains, and how consumers can be engaged and contribute to the transition through new business models enabling circular design, reuse, repair, remanufacturing and recycling of building components.

In addition, you will learn how architecture and urban design can be adapted according to the principles of the Circular Economy and ensure that construction is more sustainable. You will also learn from case studies how companies already profitably incorporate this new theory into the design, construction and operation of the built environment.

Around the world, major challenges of our time such as population growth and climate change are being addressed in cities. Here, citizens play an important role amidst governments, companies, NGOs and researchers in creating social, technological and political innovations for achieving sustainability.

Citizens can be co-creators of sustainable cities when they engage in city politics or in the design of the urban environment and its technologies and infrastructure. In addition, citizens influence and are influenced by the technologies and systems that they use every day. Sustainability is thus a result of the interplay between technology, policy and people’s daily lives. Understanding this interplay is essential for creating sustainable cities. In this MOOC, we zoom in on Amsterdam, Beijing, Ho Chi Minh City, Nairobi, Kampala and Suzhou as living labs for exploring the dynamics of co-creation for sustainable cities worldwide. We will address topics such as participative democracy and legitimacy, ICTs and big data, infrastructure and technology, and SMART technologies in daily life.

Based on working on exercises on project decision making and planning, the specific context of working abroad in general and in developing countries in particular is illustrated, with regard to socio-cultural aspects, planning and financing of projects, roles of (consulting) engineers and contractors, local materials, techniques and knowledge and environmental issues.

In this course you will learn how to ensure good indoor thermal comfort and air quality, and how these factors relate to building design and to buildings’ energy systems. Comfort complaints mean user dissatisfaction, which in turn means delays and resistance to accept technologies needed for low carbon emission buildings. So if you want to discover what to pay attention to in your energy designs, or in designing new concepts for sustainable buildings, this course is for you.

In order to be effective, leaders need a high tolerance of complexity. Beyond this, they need to inform their people and the outside world of their strategies, policies and decisions. Effective leaders are often inspiring communicators – their own high tolerance of complexity helps them reduce this complexity to a concise and powerful message.

Your sensemaking mindset is therefore of critical importance to motivate others to follow and support you. Your ability to inspire and convince is largely dependent on the way you frame your message, and on your skills at playing the game of framing and reframing. You will learn from a large variety of (video) cases and analyse a large number of situations where leaders’ communication and sensemaking skills are tested and probed. This will ensure that you are equipped to build winning coalitions in your own organization.

Explore complex, multi-actor systems in which one factor influences all other factors. For instance, how innovative energy technologies merge into the existing energy system, or how new transport possibilities impact current processes. Armed with this information, learn to decide whether they should be further developed, consider possible negative results and weigh associated costs.

There are multiple ways to make decisions, but one way proven to be very useful is the analytical approach – a methodology for making the problem explicit and rationalising the different potential solutions. In short: analysis based support of decision making, design and implementation of solutions.

Creative Problem Solving and Decision Making as a course teaches you this method.

This economics course provides an introduction to the field of cybersecurity through the lens of economic principles. Delivered by four leading research teams, it will provide you with the economic concepts, measurement approaches and data analytics to make better security and IT decisions, as well as understand the forces that shape the security decisions of other actors in the ecosystem of information goods and services.

Systems often fail because the organizations that defend them do not bear the full costs of failure. In order to solve the problems of growing vulnerability to computer hackers and increasing crime, solutions must coherently allocate responsibilities and liabilities so that the parties in a position to fix problems have an incentive to do so. This requires a technical comprehension of security threats combined with an economic perspective to uncover the strategies employed by cyber hackers, attackers and defenders.

Are you ready to leave the sandbox and go for the real deal? Have you followed Data Analysis: Take It to the MAX() and Data Analysis: Visualization and Dashboard Design and are ready to carry out more robust data analysis?

In this project-based course you will engage in a real data analysis project that simulates the complexity and challenges of data analysts at work. Testing, data wrangling, Pivot Tables, sparklines? Now that you have mastered them you are ready to apply them all and carry out an independent data analysis.

For your project, you will pick one raw dataset out of several options, which you will turn into a dashboard. You will begin with a business question that is related to the dataset that you choose. The datasets will touch upon different business domains, such as revenue management, call-center management, investment, etc.

This course is for all of those struggling with data analysis. That crazy data collection from your boss? Megabytes of sensor data to analyze? Looking for a smart way visualize your data in order to make sense out of it? We’ve got you covered!

Using video lectures and hands-on exercises, we will teach you cutting-edge techniques and best practices that will boost your data analysis and visualization skills.

This course has been awarded with the Wharton-QS gold education award in the category Regional awards Europe.
We will take a deep dive into data analysis with spreadsheets: PivotTables, VLOOKUPS, Named ranges, what-if analyses, making great graphs – all those will be covered in the first weeks of the course. After that, we will investigate the quality of the spreadsheet model, and especially how to make sure your spreadsheet remains error-free and robust.

Finally, once we have mastered spreadsheets, we will demonstrate other ways to store and analyze data. We will also look into how Python, a programming language, can help us with analyzing and manipulating data in spreadsheets.

This course is created using Excel 2013 and Windows. Most assignments can be made using another spreadsheet program and operating system as well, but we cannot offer full support for all configurations.

Struggling with data at work? Wasting valuable time working in multiple spreadsheets to gain an overview of your business? Find it hard to gain sharp insights from piles of data on your desktop?

If you are looking to enhance your efficiency in the office and improve your performance by making sense of data faster and smarter, then this advanced data analysis course is for you.

If you have already sharpened your spreadsheet skills in Data Analysis: Take It to the MAX(), this course will help you dig deeper. You will learn advanced techniques for robust data analysis in a business environment. This course covers the main tasks required from data analysts today, including importing, summarizing, interpreting, analyzing and visualizing data. It aims to equip you with the tools that will enable you to be an independent data analyst. Most techniques will be taught in Excel with add-ons and free tools available online. We encourage you to use your own data in this course but if not available, the course team can provide.

These course materials are part of an online course of TU Delft. Do you want to experience an active exchange of information between academic staff and students? Then join the community of online learners and enroll in this MOOC. This course is part of the Data Analysis XSeries.

In an increasingly data-driven world, data and its use aren’t always all it’s cracked up to be. This course aims to address the critical lack of any or appropriate data in many areas where complex decisions need to be made.

For instance, how can you predict volcano activity when no eruptions have been recorded over a long period of time? Or how can you predict how many people will be resistant to antibiotics in a country where there is no available data at national level? Or how about estimating the time needed to evacuate people in flood risk areas?

In situations like these, expert opinions are needed to address complex decision-making problems. This course, aimed at researchers and professionals from any academic background, will show you how expert opinion can be used for uncertainty quantification in a rigorous manner.

Various techniques are used in practice. They vary from the informal and undocumented opinion of one expert to a fully documented and formal elicitation of a panel of experts, whose uncertainty assessments can be aggregated to provide support for complex decision making.

In this course you will be introduced to state-of-the-art expert judgment methods, particularly the Classical Model (CM) or Cooke’s method, which is arguably the most rigorous method for performing Structured Expert Judgment.

CM, developed at TU Delft by Roger Cooke, has been successfully applied for over 30 years in areas as diverse as climate change, disaster management, epidemiology, public and global health, ecology, aeronautics/aerospace, nuclear safety, environment and ecology, engineering and many others.

In our daily lives we use hundreds or even thousands of products and services. They are all designed, some with more success than others. The ‘Delft Design Approach’ is a structured approach that helps designers to tackle complex design challenges: from formulating a strategic vision, to mapping user behaviors, their needs and their environment, to developing and selecting meaningful proposals for products and services.

DDA691x offers a college-level introduction to the Delft Design Approach through lectures and exercises on design fundamentals and 6 methods. You will understand basic models and concepts that underlie the Delft approach. You will also develop the capability to use 6 basic methods in a design context. You will do so by applying the methods to realistic design challenges and by reflecting on your own performance by comparing it to that of expert designers as well as through peer discussion.

Are you a design practitioner eager to become more strategic? Are you a business professional who wants to become more innovative? In this course, made by the world’s first strategic design school, you’ll follow the lead of big successful companies who already create new business opportunities and spark innovation by practicing design.

This course will introduce you to a hands-on design approach for finding new business opportunities. You will experience first-hand how design can be of value for your organisation. You’ll be challenged to create your own concepts that generate new business opportunities.

This course is produced by the same team that created the Strategic Product Design master programme at TU Delft, one of the oldest and most established programmes of strategic design in the world. Moreover, industry experts will help bridging design practice and business theory in a way that is unique in the present educational landscape.

In this course you will learn about the different experiences patients go through in a medical context. The patient journey explores the interaction between the patient and the healthcare providers in all stages of the disease; coping with treatment and dealing with expectations, and interaction with and between different stakeholders.

This course will give designers and specialists in healthcare the knowledge, insights and tools to be able to analyze and improve patient experience. You will learn how to map complex healthcare scenarios, pinpoint opportunities and create hands-on solutions aimed at improving the patient experience.

This course is an introduction to patient journey mapping; developed at the Delft University of Technology and applied in improvement of care pathway. Step-by-step, the course visualizes the different stakeholders, phases and actions involved in patient treatment. You will be challenged to pursue new insights and given unique opportunities to learn, observe and question patients and medical professionals, with the opportunity to attend a live broadcasted, interactive surgery.

Learn about types and sources of industrial emissions and tools to mitigate them. Learn what the options are for climate-neutral electricity and review the strategies for dealing with the variability of renewable energy.

This course is designed for the next generation of policy-makers, sustainability consultants or professionals and students from various fields who want an overview of climate change mitigation strategies in industry and electricity generation and apply them to their own projects.

This course covers a wide variety of topics in the industry and electricity generation domains, from the current situation to the challenging mission of becoming climate-neutral. Specifically:

Industry – You will learn about types and sources of industrial emissions. You will also learn about the existing technological options, methodologies and tools to mitigate emissions (mainly GHG) inside and outside the boundaries of the industrial plant.
Electricity generation – you will learn what the options are for climate-neutral electricity and review the strategies for dealing with the variability of renewable energy, as well as how energy system modeling is used to devise plans and policies for the energy transition.
The course includes videos, examples, interviews with experts, exercises and quizzes so that you can master and practice what you have learnt and explore mitigation strategies through real life examples. Enriched by relevant readings and discussion forums, this course will let you dive deeper into specific areas of interest you might have and further facilitate your learning experience.

Course material and exercises will be complemented by relevant content about policy, through which you will also discover current measures taken by governments world-wide.

Familiarize yourself with decarbonization measures in the building and transport sectors. Learn about trends in energy usage, carbon intensity, and potential of available alternatives to limit greenhouse gas (GHG) emissions.

This course is designed for the next generation of policy makers, sustainability consultants or professionals and students from other fields who want to introduce themselves to climate change mitigation strategies in the building and transport sectors and apply them to their projects.

This course covers a wide variety of topics in the building and transportation domains, with the focus on the importance of designing climate friendly systems. Specifically:

Buildings – you will learn about trends in energy use and CO2 emissions that result from heating and cooling buildings, cooking and the use of electricity for appliances and lighting. You will be able to compare various alternatives to limit GHG emissions from buildings and quantify their impact.
Transportation – you will gain knowledge of decarbonization efforts carried out in various sub-sectors of transportation (including freight, aviation and passenger transport). You will learn about trends, fuel alternatives such as electrification and hydrogen applications, examine energy intensity and calculate GHG produced by transport. Additionally, you will have the chance to evaluate different transportation modes and their impact on climate.
In addition to the lectures, the course also includes interviews with experts and various exercises that will demonstrate how to practice what you have learnt and explore GHG emissions through real life examples. Enriched by relevant readings and discussion forums, this course will let you dive deeper into specific areas of interest you might have and further facilitate your learning experience.

Course material and exercises will be complemented by relevant content about policy, through which you will also discover current measures taken by governments world-wide.

What You'll Learn:
Understand the big picture of how buildings contribute to global GHG emissions and differences between climate zones.
Analyze the contribution of heating, cooling, cooking, and use of electrical appliances to greenhouse gas emissions and examine options to mitigate CO2 emissions from these activities.
Perform basic calculations on GHG emissions relating to different activities in buildings.
Consider how policies affect GHG emission in buildings.
Discuss the transport sector and its contribution to GHG emissions.
Calculate GHG emissions relating to different modes of transport and fuels.
Discover the efficiency and potential of alternate fuels and a variety of measures needed to decarbonize transport.

Explore the role of national governments, municipalities, companies and the international community in climate change mitigation. Learn to set reduction targets yourself and translate them into action plans.

“Every action matters
Every bit of warming matters
Every year matters
Every choice matters.”

This was the brief summary of a 2018 report of the Intergovernmental Panel on Climate Change (IPCC), the scientific advisory board of the United Nations.

But who should take action?

In earlier courses, we already set out what is needed to limit the impact of climate change. In this course, we will explore the role of national governments, the international community, companies, and sub-national governments, like cities, municipalities, provinces, and regions.

We start from the idea that climate governance is polycentric. None of these parties can mitigate the dangers of climate change all by themselves. Each of these types of organization has its particular strength. If you work – or plan to work – in or with any such organization, then through this course you will learn how to be successful and effective in playing your part in mitigating climate change.

Important elements that will be discussed for the various players in the field are:

What roles can the different organizations play?
How can emission reduction targets be set so that they are both ambitious and feasible?
How can meaningful emission reduction plans be developed that actually result in emission reduction on the ground?
Examples will be presented by professionals who have been successful in their own organization. They are willing to share the failures and critical success factors in their strategies.

What You'll Learn
Understand how international climate agreements work.
Assess the sphere of influence of your own organization.
Learn how to develop national climate policies and evaluate the relevance of existing policies for your organization.
Be able to set ambitious and feasible GHG emission reduction targets for companies and discover how to translate these into a climate action plan.
Design approaches to tackle greenhouse gas emissions in supply chains.
Be able to set ambitious and feasible GHG emission reduction targets for cities and municipalities and learn how to translate these into climate action plans.
Decide in which areas the greatest acceleration of climate action is needed.

Dredging equipment, mechanical dredgers, hydraulic dredgers, boundary conditions, design criteria, instrumentation and automation.

The course treats: the discrete Fourier Transform (DFT), the Fast Fourier Transform (FFT), their application in OFDM and DSL; elements of estimation theory and their application in communications; linear prediction, parametric methods, the Yule-Walker equations, the Levinson algorithm, the Schur algorithm; detection and estimation filters; non-parametric estimation; selective filtering, application to beamforming.

Het vak Digitale Systemen laat de eerstejaarsstudent kennis maken met de verscheidenheid aan specificatietechnieken en synthese bij het ontwerp van digitale systemen. Onderwerpen die worden behandeld zijn o.a.: getalstelsels, Booleaanse algebra, 2-level en multi-level netwerken, minimalisatietechnieken/tools, timing, hazards; sequentiële systemen, Moore/Mealy machines, FSM; specificatie, modellering, simulatie en synthese m.b.v. VHDL; datapad besturingsmodel, synthesemethodieken en tools, realisatie m.b.v. FPGAs.

The course focuses on three main dredging processes: the cutting of sand, clay and rock, the sedimentation process in hopper dredges and the breaching process

The purpose of this course is to convey knowledge of the various physical processes associated with slurry handling and transport during dredging. This knowledge is needed for the design of dredging equipment and for planning efficient equipment operations. The various processes are discussed and theories and simulation models that describe the processes are presented and compared during the course. The course can be broken down into four elements: 1. Pumps and engines a. Pump characteristics and cavitation b. Influence of particles on pump characteristics. 2. Hydraulic transport in pipelines a. Two-phase (solid-liquid) flow through pipelines b. Newtonian slurries c. Non Newtonian slurries d. Inclined and long pipelines. 3. Pump and pipeline systems a. Operation point and areas b. Production factors. 4. Case studies

The course provides the technological background of treatment processes applied for production of drinking water. Treatment processes are demonstrated with laboratory experiments.

This course deals with the design of drinking water treatment plants. We discuss theory and design exercises.

Deze cursus biedt inzicht in besluitvorming en bedrijfsvoering op inleidend niveau; en biedt inzicht in de basisbegrippen van de micro- en markteconomie; Na het volgen van deze module kunt u: 1)basisbegrippen en theorieĚÇn van de micro- en markteconomie toelichten; 2)belangrijke concepten en theorieĚÇn toepassen op eenvoudige situaties; 3)elementen uit de discipline herkennen in concrete voorbeelden van besluitvorming en management