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MOOC
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MOOC
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.
- Subjects:
- Product Design
- Keywords:
- Packaging -- Environmental aspects Packaging -- Design Sustainable design
- Resource Type:
- MOOC
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MOOC
Meeting growing global energy demand, while mitigating climate change and environmental impacts, requires a large-scale transition to clean, sustainable energy systems. Students and professionals around the world must prepare for careers in this future energy landscape, gaining relevant skills and knowledge to expedite the transformation in industry, government and nongovernmental organizations, academia, and nonprofits. The building sector represents a large percentage of overall energy consumption, and contributes 40% of the carbon emissions driving climate change. Yet buildings also offer opportunities for substantial, economical energy efficiency gains. From retrofit projects to new construction, buildings require a context-specific design process that integrates efficiency strategies and technologies. In this course, you'll be introduced to a range of technologies and analysis techniques for designing comfortable, resource-efficient buildings. The primary focus of this course is the study of the thermal and luminous behavior of buildings. You'll examine the basic scientific principles underlying these phenomena, and use computer-aided design software and climate data to explore the role light and energy can play in shaping architecture. These efficiency design elements are critical to the larger challenge of producing energy for a growing population while reducing carbon emissions.
- Subjects:
- Environmental Engineering, Building Services Engineering, and Building and Real Estate
- Keywords:
- Buildings -- Energy conservation Sustainable architecture Sustainable buildings -- Design construction
- Resource Type:
- MOOC
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MOOC
basics of questionnaire design, data collection methods, sampling design, dealing with missing values, making estimates, combining data from different sources, and the analysis of survey data.
- Subjects:
- Statistics and Research Methods
- Keywords:
- Social surveys -- Methodology Social sciences -- Research -- Methodology
- Resource Type:
- MOOC
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MOOC
This award-winning course aims to sharpen your competitive edge in work and life. It empowers you with positive values and practical problem-solving skills, including creative strategies for addressing challenges from COVID-19. Enriched with interesting animations, a new success story and breakthrough pedagogies, this updated version (2.5) effectively helps you master knowledge and skills requisite for a successful life.
- Keywords:
- Creative thinking Learning ability Critical thinking
- Resource Type:
- MOOC
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MOOC
Whether you are a university student trying to make sense of a difficult major course project or struggling to add value during your internship placement; or you are practicing manager struggling to find a resolution to a complex problem, issue or challenge, this course will guide you through a framework designed to help you open up the alternatives. Through this structured framework designed to help you better deal with your unstructured problems, you will learn BETTER, learn FASTER and learn MORE than you are used to. In essence, this short course will help you “HOW” to learn to (un)learn during knowledge transfer.
- Subjects:
- Management
- Keywords:
- Problem solving Dice games
- Resource Type:
- MOOC
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MOOC
This course teaches the R programming language in the context of statistical data and statistical analysis in the life sciences. We will learn the basics of statistical inference in order to understand and compute p-values and confidence intervals, all while analyzing data with R code. We provide R programming examples in a way that will help make the connection between concepts and implementation. Problem sets requiring R programming will be used to test understanding and ability to implement basic data analyses. We will use visualization techniques to explore new data sets and determine the most appropriate approach. We will describe robust statistical techniques as alternatives when data do not fit assumptions required by the standard approaches. By using R scripts to analyze data, you will learn the basics of conducting reproducible research. Given the diversity in educational background of our students we have divided the course materials into seven parts. You can take the entire series or individual courses that interest you. If you are a statistician you should consider skipping the first two or three courses, similarly, if you are biologists you should consider skipping some of the introductory biology lectures. Note that the statistics and programming aspects of the class ramp up in difficulty relatively quickly across the first three courses. We start with simple calculations and descriptive statistics. By the third course will be teaching advanced statistical concepts such as hierarchical models and by the fourth advanced software engineering skills, such as parallel computing and reproducible research concepts.
- Subjects:
- Statistics and Research Methods and Mathematics and Statistics
- Keywords:
- Life sciences -- Statistical methods Mathematical statistics -- Data processing R (Computer program language)
- Resource Type:
- MOOC
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MOOC
Cities are first and foremost built for people, and in today’s world, people produce large amounts of valuable data, thus contributing to what we call “smart cities." As almost every building and every city is a prototype, these communities are in the early stage of development and require specific attention and expertise as we advance. Smart cities, such as Zurich and Boston, consist of human-made structures or environments that are, in some capacity, monitored, metered, networked and controlled. With this functionality, combined with stationary sensors and mobile devices, data and information have become the new building materials of future cities. Using this data, citizens are now beginning to influence the design of future cities and the re-design of existing ones. In this architecture course, you will learn the basics of information cities and urban science research, as well as how dynamic behavior and citizen-driven learning differentiate the responsive city from the smart city. The cities we present and develop in this course use the stocks and flows of information as the main drivers of change. To deepen your knowledge of smart cities and give a perspective on the future of these cities, we also introduce the concept of citizen design science, a combination of citizen science, urban design, and cognitive design computing. Participants will furthermore have unique access to a design research platform for citizen design science. The intelligent use of data and information is at the core of this course, and these concepts will be the next generation of participatory design and design computing environments.
- Subjects:
- Building Services Engineering and Building and Real Estate
- Keywords:
- Smart cities Cities towns -- Effect of technological innovations on City planning
- Resource Type:
- MOOC
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MOOC
An introduction to the Six Sigma methodology and DMAIC cycle for process improvement with a focus on the Define and Measure phases.
- Subjects:
- Management
- Keywords:
- Six sigma (Quality control stard)
- Resource Type:
- MOOC
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MOOC
Cities are built site by site. Site planning has been taught in urban planning, landscape architecture and architecture programs for over a century and continues to be a foundation course for those who aspire to plan the built environment. It is a required subject on licensing and certification programs for each of these disciplines. Mastering the art of site planning requires substantive knowledge, well-honed design skills, and familiarity with examples and prototypes of site organization. This course provides the perspectives of leading academics and practitioners on the important issues in preparing site plans. It offers a foundation of knowledge, and the opportunity to apply what is learned in preparing a site plan.
- Subjects:
- Environmental Engineering, Building Services Engineering, and Building and Real Estate
- Keywords:
- Building sites -- Planning
- Resource Type:
- MOOC
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MOOC
We encounter signals and systems extensively in our day-to-day lives, from making a phone call, listening to a song, editing photos, manipulating audio files, using speech recognition softwares like Siri and Google now, to taking EEGs, ECGs and X-Ray images. Each of these involves gathering, storing, transmitting and processing information from the physical world. This course will equip you to deal with these tasks efficiently by learning the basic mathematical framework of signals and systems. This course is divided into two parts. In this part (EE210.1x), we will explore the various properties of signals and systems, characterization of Linear Shift Invariant Systems, convolution and Fourier Transform, while the next part (EE210.2x), will deal with the Sampling theorem, Z-Transform, discrete Fourier transform and Laplace transform. Ideas introduced in this course will be useful in understanding further electrical engineering courses which deal with control systems, communication systems, power systems, digital signal processing, statistical signal analysis and digital message transmission. The concepts taught in this course are also useful to students of other disciplines like mechanical, chemical, aerospace and other branches of engineering and science.
- Course related:
- EE3008A Linear Systems and Signal Processing
- Subjects:
- Electrical Engineering
- Keywords:
- Signal processing
- Resource Type:
- MOOC