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

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

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

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

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

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

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

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

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

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

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

The technologies used to produce solar cells and photovoltaic modules are advancing to deliver highly efficient and flexible solar panels. In this course you will explore the main PV technologies in the current market. You will gain in-depth knowledge about crystalline silicon based solar cells (90% market share) as well as other up and coming technologies like CdTe, CIGS and Perovskites. This course provides answers to the questions: How are solar cells made from raw materials? Which technologies have the potential to be the major players for different applications in the future?

In the electrical engineering, solid-state materials and the properties play an essential role. A thorough understanding of the physics of metals, insulators and semiconductor materials is essential for designing new electronic devices and circuits. After short introduction of the IC fabrication process, the course starts with the crystallography. This will be followed by the basic principle of the quantum mechanics, the sold-state physics, band-structure and the relation with electrical properties of the solid-state materials. When the material physics has been throughly understood, the physics of the semiconductor device follows quite naturally and can be understood quickly and efficiently. Study Goals: The student can 1) determine the crystal structure, the density of atoms and the Miller indices of a crystal, 2) apply Schrodinger's wave equation to various potential functions and derive a probability of finding electrons, 3) discuss the concept of energy band formation and difference of material properties in terms of the band, 4) derive the concentrations of electron and holes with a given temperature in terms of Fermi energy, and 5) can discuss drift, diffusion and scattering of carriers in a semiconductor under various temperature and impurity concentrations.

The course aims is to understand the relation between urban design and planning and the aspects of: - sun, energy and plants - wind, sound and noise - water, traffic and other networks - earth, soil and site preparation - life, ecology and nature preservation - living, human density, economy and environment These themes in sustainable urban engineering are related to legends for design, described in a wide variety of lecture papers (720 pages, 1000 figures, 200 references, 5000 key words, 400 questions), accompanied by interactive Excel computer programmes to get quantitative insight. The assignment is an evaluation of an own earlier and future design work integrating sun, plantation, wind, noise, water, traffic, earth, land preparation, cables and pipes, life, natural differentiation, living, density, environment and proposing new legends for design. Study Goals The student: - is able to link urban interventions to urban development technology and within that interrelate urban designers to relevant technical specialists - is able to integrating sun, plantation, wind, noise, water, traffic, earth, land preparation, cables and pipes, life, natural differentiation, living, density, environment - is able to develop new legends for design from the perspective of sustainable urban engineering

A transition to sustainable energy is needed for our climate and welfare. In this engineering course, you will learn how to assess the potential for energy reduction and the potential of renewable energy sources like wind, solar and biomass. You’ll learn how to integrate these sources in an energy system, like an electricity network and take an engineering approach to look for solutions and design a 100% sustainable energy system.

It has become almost impossible to imagine what our lives would be like without the many benefits of packaging – just think about the different packaging and single-use items you use on a daily basis. Yet as our global population grows in size and affluence, both our collective demand for packaging materials and the waste we generate as a result will increase dramatically.

Currently, large amounts of packaging waste escape formal collection and recycling systems and eventually end up polluting the environment. Moreover, their material value is forever lost to the economy. The Ellen MacArthur Foundation estimates that uncollected plastic packaging waste alone is worth somewhere between 80 to 120 billion dollars a year.

So how can we improve packaging systems in order to capture this wasted potential? Clearly, the way we currently design, recover, and reuse packaging urgently needs a rethink!

In this course, you will learn about the design of sustainable packaging systems. To do so we will explore the design and business strategies of the circular economy.

Contrary to our current industrial model, which extracts, uses and ultimately disposes of resources, a circular economy is regenerative by design. This means that products and services are reimagined from a systems perspective in order to minimize waste, maximize positive economic, environmental and social impacts, and keep resources locked in a cycle of restoration.

This course is for you if you are interested in learning about sustainable packaging design. You’ll also benefit if you are a professional in the packaging industry and want to learn how to find circular opportunities in your work. Students – particularly in design – will be able to broaden their knowledge of circular design and business strategies.

Did you know that cities take up less than 3% of the earth’s land surface, but more than 50% of the world’s population live in them? And, cities generate more than 70% of the global emissions? Large cities and their hinterlands (jointly called metropolitan regions) greatly contribute to global urbanization and sustainability challenges, yet are also key to resolving these same challenges.

If you are interested in the challenges of the 21st century metropolitan regions and how these can be solved from within the city and by its inhabitants, then this Sustainable Urban Development course is for you!

There are no simple solutions to these grand challenges! Rather the challenges cities face today require a holistic, systemic and transdisciplinary approach that spans different fields of expertise and disciplines such as urban planning, urban design, urban engineering, systems analysis, policy making, social sciences and entrepreneurship.

This MOOC is all about this integration of different fields of knowledge within the metropolitan context. The course is set up in a unique matrix format that lets you pursue your line of interest along a specific metropolitan challenge or a specific theme.

Because we are all part of the challenges as well as the solutions, we encourage you to participate actively! You will have the opportunity to explore the living conditions in your own city and compare your living environment with that of the global community.

The purpose of this course is to learn how to specify the behavior of embedded systems and to experience the design
of a provably correct system. In this course you will learn how to formally
specify requirements and to prove (or disprove) them on the behaviour. With a practical assignment
you will experience how to apply the techniques in practice.

Computability Theory deals with one of the most fundamental questions in computer science: What is computing and what are the limits of what a computer can compute? Or, formulated differently: ‰"What kind of problems can be algorithmically solved?‰" During the course this question will be studied. Firstly, the notion of algorithm or computing will be made precise by using the mathematical model of a Turing machine. Secondly, it will be shown that basic issues in computer science, like "Given a program P does it halt for any input x?" or "Given two program P and Q, are they equivalent?" cannot be solved by any Turing machine. This shows that there exist problems that are impossible to solve with a computer, the so-called "undecidable problems".

The idea behind topological systems is simple: if there exists a quantity, which cannot change in an insulating system where all the particles are localized, then the system must become conducting and obtain propagating particles when the quantity (called a “topological invariant”) finally changes.

The practical applications of this principle are quite profound, and already within the last eight years they have lead to prediction and discovery of a vast range of new materials with exotic properties that were considered to be impossible before.
What is the focus of this course?

Applications of topology in condensed matter based on bulk-edge correspondence.
Special attention to the most active research topics in topological condensed matter: theory of topological insulators and Majorana fermions, topological classification of “grand ten” symmetry classes, and topological quantum computation
Extensions of topology to further areas of condensed matter, such as photonic and mechanical systems, topological quantum walks, topology in fractionalized systems, driven or dissipative systems.

1. Objectives of modelling in transport and spatial planning. Model types. Theory of travel and locational behaviour. System description of planning area. Theory of choice models. Aggregate and disaggregate models. Mode choice, route choice and assignment modelling. Locational choice modelling. Parameter estimation and model calibration. Cases and exercises in model application; 2. Role of models in transportation and spatial systems analysis; model types; designing system description of study area (zonal segmentation, network selection); role of shortest path trees; 3. Utility theory for travel and location choice; trip generation models, trip distribution models; applications; 4. Theory of spatial interaction model; role of side constraints; distribution functions and their estimations; constructing base matrices and estimating OD-tables; 5. Theory of individual choice models; 6. Disaggregated choice models of the logit and probit type for time choice, mode choice, route choice and location choice; 7. Integrated models (sequential and simultaneous) for constructing OD-tables; 8. Equilibrium theory in networks and spatial systems; 9. Route choice and assignment; derivation of different model types (all-or-nothing model, multiple route model, (stochastic) equilibrium model); assignment in public transportation networks; analyses of effects; 10. Calibration of parameters and model validation; observation, estimation, validation; estimation methods; 11. Individual exercise computing travel demand in networks; getting familiar with software; computing all transportation modelling steps; analyse own planning scenarios; writing a report.Study Goals: 1. Insight in the function of mathematical models in transportation and spatial planning; 2. Knowledge of theoretical backgrounds of models; 3. Knowledge of application areas of models; 4. Ability to develop one's own plan of analysis for model computations; 5. Ability to apply models on planning problems; 6. Ability to present outcomes of model computations.

Processing information is the hallmark of all modern organizations, which are increasingly digital: absorbing, processing and generating information is a key element of their business.
Being able to interact flexibly and efficiently with the underlying data and software systems is an indispensable skill. Knowledge of the Unix shell and its command-line tools boosts the effectiveness and productivity of software developers, IT professionals, and data analysts.

The Unix tools were designed, written, actively used and refined by the team that defined the modern computing landscape. They allow the performance of almost any imaginable computing task quickly and efficiently by judiciously combining key powerful concepts. The power of Unix tools for exploring, prototyping and implementing big data processing workflows, and software engineering tasks remains unmatched. Unix tools, running on hardware ranging from tiny IoT platforms to supercomputers, uniquely allow an interactive, explorative programming style, which is ideal for the efficient solution of many of the engineering and business analytics problems that we face every day.

Through the use of Unix tools:
- Software developers can quickly explore and modify code, data, and tests.
- IT professionals can scrutinize log files, network traces, performance figures, filesystems and the behavior of processes.
- Data analysts can extract, transform, filter, process, load, and summarize huge data sets.

The course is uniquely based on carefully-selected, interactive walk-through examples that demonstrate how each command operates in practice. The examples that we use involve problems that engineers and analysts face every day.

Are you an urban planner, designer, policy maker or involved or interested in the creation of good living environments?

This course will broaden your scope and diversify your take on the field of urban planning and design. We will focus on a unique Dutch approach and analyze how it can help those involved with urban planning and design to improve the physical environment in relation to the public good it serves, including safety, wellbeing, sustainability and even beauty.

You will learn some of the basic traits of Dutch Urbanism, including its:

contextual approach;
balance between research and design;
simultaneous working on multiple scale levels.
You will practice with basic techniques in spatial analysis and design pertaining to these points. You will also carry out these activities in your own domestic environment.

This course is taught by the Faculty of Architecture and the Built Environment at TU-Delft, ranked no. 4 in Architecture/Built Environment on the QS World University Rankings (2016).

All the material in this course is presented at entry level. But since the course has an integral perspective, combining planning and design aspects, it can still be relevant for trained professionals who feel they lack experience in either field.

Students obtain basic knowledge of the multidisciplinary aspects of the use of undergrounds space. Based on knowledge about the characteristics of several construction technologies they are able to asses their applicability in different situations. This may be different geological or physical conditions. They are able to analyze and structure the complex decision making process that is related to the use of underground space and define an integral approach

Scientific research and design is traditionally made to be published in books or magazines by use of text and images. The arrival of digital media and internet changed this dramatically and allowed new possibilities and far better accessibility of this work. Be this as it may, it is still paramount that the accuracy and completeness of published scientific work is maintained. This course will focus on this integrated concept, the learning of how to successfully make and publish your own website. In 6 lectures the several aspects of traditional scientific research will be treated by using the contemporary media. The course has the following study goals, that correspond with the given assignments and lectures: publishing own study and design work; making your work retrievable for others by use of key words; making use of digital media to describe own work; describing and evaluating of own work; making a bibliography and iconography; intrepretenting an image as a scientific document;describing in key words; compare images scientifically; deducting design types from image comparison; deducting design concepts from image comparison; deducting design models from image comparison; deducting design programs from image comparison; integrating different design concepts and becoming acquainted with research methods; defining an object of research, problem field, target field, design tools, own competence and context of research; formulating a site, context factors, motivation, design program, contribution, intended results and planning; justifying, referring and concluding of own work; giving and receiving professional critique.