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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. You will discover possible solutions for your city’s challenges and what it takes to implement these solutions. Your participation will also contribute to wider research into metropolitan regions as complex systems. We invite you to take the first steps in understanding the principles that will be essential to transform metropolitan regions into just, prosperous and sustainable places to live in!
- Subjects:
- Environmental Engineering, Building Services Engineering, and Building and Real Estate
- Keywords:
- Sustainable urban development City planning
- Resource Type:
- Courseware
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Courseware
Energy storage will be of major importance when more and more energy is produced using fluctuating renewable sources like wind and solar power. This course concerns two energy storage methods: storage in the form of the artificial fuel hydrogen, and storage in the form of batteries. In the transition to a sustainable-energy future, both hydrogen and batteries will likely play increasingly important roles. Hydrogen has the advantage of effectively limitless scale up potential while batteries have the advantage of high energy efficiency. Methods for sustainable and renewable hydrogen production include solar, wind power, direct photo-electrolysis of water, thermal and nuclear methods as well as biological options. The students will learn about such production methods of hydrogen using renewable energy sources, and separation technologies for clean hydrogen. The application of hydrogen requires cheap, safe, lightweight and easy to handle storage of hydrogen. The course presents current options for storage of hydrogen, including light metal hydrides, large adsorption surface, and nanostructured materials, as well as gaseous and liquid hydrogen storage. It will be explained that the ultimate solution still needs to be found. Students will get an overview of most recent advances and bottlenecks, synthesis and characterization techniques. The electrical energy storage in batteries concerns the principles of (rechargeable) batteries, mainly Li-ion, and the relation of the performance with material properties. The relation between properties at the atomic level with the real life battery performance will be displayed. The principles will be explained in terms of basic electrochemistry and thermodynamics. The course will present recent advantage in the field of Li ion batteries. In addition super-capacitors, allowing fast (dis)charge and based on similar principles, are part of the course.
- Subjects:
- Building Services Engineering, Chemistry, and Environmental Engineering
- Keywords:
- Storage batteries Renewable energy sources Hydrogen as fuel Energy storage Hydrogen -- Storage
- Resource Type:
- Courseware
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Courseware
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.
- Subjects:
- Electrical Engineering
- Keywords:
- Solar energy Renewable energy sources Biomass energy Wind power Sustainable development
- Resource Type:
- Courseware
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Courseware
By independent study of the book Sustainable Development for Engineers (K.F. Mulder, 2006) students acquire basic knowledge about sustainable development.
- Subjects:
- Environmental Engineering
- Keywords:
- Sustainable engineering Sustainable development Environmental engineering
- Resource Type:
- Courseware
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Courseware
This course examines alternative conceptions and theoretical underpinnings of sustainable development. It focuses on the sustainability problems of industrial countries, and of developing states and economies in transition. It also explores the sociology of knowledge regarding sustainability, the economic and technological dimensions, and institutional imperatives, along with implications for political constitution of economic performance.
- Subjects:
- Environmental Engineering, Political Science, and Social Ecology
- Keywords:
- Sustainable development
- Resource Type:
- Courseware
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Courseware
The Near Beer simulation demonstrates the difficulty of managing supply with customer demand and exemplifies the Bullwhip Effect in supply chain management. In essence, the simulation will show how difficult it is to match production and supply as customer demand changes. The free, limited use, Near Beer simulation has two levels, novice and expert. The novice level provides sufficient interaction for students to attempt to match inventory with customer demand. This simulation is appropriate to use in a principles of marketing course, to supplement the class discussion, and might be introduced at the conclusion of the first class session, to be completed by the end of the week, or conclusion of the class topic discussion. Depending upon the size of the class, students can complete the simulation individually, or in small (no more than three students) teams. I prefer to assign this activity individually. The objective is to balance inventory with demand, and reduce or avoid stock-outs and over-supply of inventory. Not as easy as it sounds! The effectiveness of meeting demand is measured in how many weeks it take to reach a balanced inventory. I have had students meet demand in as little as 6 weeks, while others may take as long as 16 weeks.
- Subjects:
- Logistics
- Keywords:
- Product management -- Computer simulation Production management
- Resource Type:
- Courseware
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Courseware
This course covers the fundamental concepts of structural mechanics with applications to marine, civil, and mechanical structures. Topics include analysis of small deflections of beams, moderately large deflections of beams, columns, cables, and shafts; elastic and plastic buckling of columns, thin walled sections and plates; exact and approximate methods; energy methods; principle of virtual work; introduction to failure analysis of structures. We will include examples from civil, mechanical, offshore, and ship structures such as the collision and grounding of ships.
- Subjects:
- Structural Engineering and Mechanical Engineering
- Keywords:
- Structural analysis (Engineering)
- Resource Type:
- Courseware
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Courseware
The discipline of structural geology studies the architecture of the solid Earth and other planets. Rock deformation patterns are exciting features beacause of their aesthetic beauty and their economic interest to man. Knowledge of the subsurface structure is vital for the success of a variety of engineering and mineral exploration pograms. A thorough understanding of rock structures is essential for strategic planning in the petroleum and mining industry, in construction operations, in waste disposal surveys and for water exploration. Deformation structures in the country rock are important further for locallizing hazard zones, such as potential rockslide masses, ground subsidence, and seismic faults. Research activities concentrate on rock defomation structures in he shallow continental crust.
- Subjects:
- Land Surveying and Geo-Informatics
- Keywords:
- Geology Structural Map reading Maps
- Resource Type:
- Courseware
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Courseware
The lectures are at a beginning graduate level and assume only basic familiarity with Functional Analysis and Probability Theory. Topics covered include: Random variables in Banach spaces: Gaussian random variables, contraction principles, Kahane-Khintchine inequality, Anderson’s inequality. Stochastic integration in Banach spaces I: γ-Radonifying operators, γ-boundedness, Brownian motion, Wiener stochastic integral. Stochastic evolution equations I: Linear stochastic evolution equations: existence and uniqueness, Hölder regularity. Stochastic integral in Banach spaces II: UMD spaces, decoupling inequalities, Itô stochastic integral. Stochastic evolution equations II: Nonlinear stochastic evolution equations: existence and uniqueness, Hölder regularity.
- Subjects:
- Mathematics and Statistics
- Keywords:
- Stochastic partial differential equations Evolution equations
- Resource Type:
- Courseware
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Courseware
Provides students with the basic tools for analyzing experimental data, properly interpreting statistical reports in the literature, and reasoning under uncertain situations. Topics organized around three key theories: Probability, statistical, and the linear model. Probability theory covers axioms of probability, discrete and continuous probability models, law of large numbers, and the Central Limit Theorem. Statistical theory covers estimation, likelihood theory, Bayesian methods, bootstrap and other Monte Carlo methods, as well as hypothesis testing, confidence intervals, elementary design of experiments principles and goodness-of-fit. The linear model theory covers the simple regression model and the analysis of variance. Places equal emphasis on theory, data analyses, and simulation studies.
- Subjects:
- Mathematics and Statistics and Biology
- Keywords:
- Statistics Cognitive science
- Resource Type:
- Courseware