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Courseware
The course discusses several Geopgraphical Information System (GIS) and Remote Sensing (RS) tools relevant for analysis of (problems in and aspects of) water systems. Within the course, several applications are introduced. These applications include GIS tools to determine mapping of surface water systems (catchment delineation, reservoirs and canal systems). The RS tools include determination of evaporation and soil moisture patterns, and measurement of water levels in surface water systems.
- Subjects:
- Environmental Engineering, Land Surveying and Geo-Informatics, and Hydraulic Engineering
- Keywords:
- Spatial analysis (Statistics) Hydrogeology Water-supply -- Management
- Resource Type:
- Courseware
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Courseware
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. This global scope will be used to illustrate why specific forms of co-creation are preferred in specific urban contexts. Moreover, we will investigate and compare these cities on three themes that have a vast effect on city life: - Water and waste - Energy, air, food and mobility - Green spaces and food This MOOC will teach you about the dynamics of co-creation and the key principles of citizens interacting with service providing companies, technology and infrastructure developers, policy makers and researchers. You will gain an understanding of major types of co-creation and their interdependency with their socio-technical and political contexts. You will become equipped to indicate how you can use co-creation to develop innovative technologies, policy arrangements or social practices for a sustainable city in your own community. You will demonstrate this by developing an action plan, research proposal or project idea. Basic knowledge of sustainability in urban settings, urban environmental technology and urban management is assumed.
- Subjects:
- Environmental Engineering, Building Services Engineering, and Building and Real Estate
- Keywords:
- Sustainable development Sustainable development -- Citizen participation City planning
- Resource Type:
- Courseware
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MOOC
Understanding a city as a whole, its people, components, functions, scales and dynamics, is crucial for the appropriate design and management of the urban system. While the development of cities in different parts of the world is moving in diverse directions, all estimations show that cities worldwide will change and grow strongly in the coming years. Especially in the tropics over the next 3 decades, it is expected that the number of new urban residents will increase by 3 times the population of Europe today. Yet already now, there is an extreme shortage of designers and urban planners able to understand the functioning of a city as a system, and to plan a sustainable and resilient city. To answer questions like: Which methods can contribute to the sustainable performance of a city, and how can we teach this to the next generations, the ETH Future Cities Laboratory in Singapore has produced over the last 3 years many necessary research results. “Future Cities” aims to bring these latest results to the places where they are needed most. The only way to better understand the city is by going beyond the physical appearance and by focusing on different representations, properties and impact factors of the urban system. For that reason, in this course we will explore the city as the most complex human-made “organism” with a metabolism that can be modeled in terms of stocks and flows. We will open a holistic view on existing and new cities, with a focus on Asia. Data-driven approaches for the development of the future city will be studied, based on crowdsourcing and sensing. At first, we will give an overview of the components and dynamics of the future cities, and we will show the importance of information and information architecture for the cities of the future. The course will cover the origins, state-of-the-art and applications of information architecture and simulation. “Future Cities” will provide the basis to understand, shape, plan, design, build, manage and continually adapt a city. You will learn to see the consequences of citizen science and the merging of Architecture and information space. You will be up-to-date on the latest research and development on how to better understand, create and manage the future cities for a more resilient urban world.
- 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
Responsive cities define the future of urbanization. They evolve from smart cities, with a fundamental difference: The citizens move from the center of attention to the center of action. Responsive citizens use smart technology to contribute to planning, design and management of their cities. Responsive cities are about bringing cities back to their citizens. Responsive cities change the way the technology of a smart city is used. The first Smart Cities were technology driven and they produced large amounts of data from fixed or centrally controlled sensors. But by now, the citizens and their mobile phones have taken the leading role in direct data generation. Rather than using data that are centrally collected and stored, you will see platforms on which the citizens place the data and the information they decide to share. With this, your own responsibility becomes a foundation of a Responsive City. Cities evolve from being smart to being responsive. To demonstrate the potential of Responsive Cities, this course will define the concept of Citizen Design Science, a combination of Citizen Design, Citizen Science and Design Science. Experts, citizens and scientists participate in Citizen Design Science. This approach is still in an early stage of development, but with the Responsive Cities Massive Open Online Course, you will be ahead in exploring and defining its possibilities. ‘Responsive cities’ is the fourth edition of the ‘Future Cities’ series on urban MOOCs. The ‘Future Cities’ series is the first and complete series of urban courses dealing with the design, management and transformation of cities for their sustainable and resilient future. With every edition, the series becomes more interactive. It increasingly empowers citizens around the world to become part of the development of their own cities, especially in those places where this knowledge is needed most. Therefore, the course is inclusive for every individual interested in the planning, construction, redevelopment and management of future cities. The course is open to anyone regardless of background, skills, knowledge, or age.
- Subjects:
- Building Services Engineering and Building and Real Estate
- Keywords:
- Smart cities Sustainable development Cities towns -- Effect of technological innovations on City planning
- Resource Type:
- MOOC
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Video
Find out how to interact with Stata 16 using the menu system and dialog boxes, the Command window, and the Do-file Editor. We also show you some valuable, time-saving tips for improving your workflow in Stata. Finally, you can see an overview of the major components of the software, such as data management, graphics, and how to get help.
- Subjects:
- Statistics and Research Methods
- Keywords:
- Stata Statistics -- Data processing Mathematical statistics -- Data processing
- Resource Type:
- Video
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Courseware
Unmanned Aerial Systems, or drones, are developing aggressively, and many government and non-government agencies are considering acquiring such systems. This course will focus on the geo-spatial utilization of a UAS. It will cultivate students' knowledge of the capabilities and limitations of the UAS and data post-processing systems. It introduces fundamental concepts surrounding operating a UAS such as strategies for selecting the right UAS, assessing its performance, managing resulting products (i.e. imagery), selecting the appropriate commercially available processing software, assessing product accuracy, figuring ways and means of producing metric products from UAS, and understanding rules and regulations governing operating a UAS in the United States.
- Subjects:
- Land Surveying and Geo-Informatics
- Keywords:
- Drone aircraft Geospatial data
- Resource Type:
- Courseware
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Courseware
Do you know how important GIS is to the transportation industry? The spatial applications to this field are so extensive that they represent an entire sub-discipline within the GIS community. In this course, we'll learn about the primary modes of transportation and explore some of the spatial applications developed to meet the unique needs of each. We'll also take a close look at some key organizations in the industry and learn firsthand from more than a dozen transportation professionals about the role GIS plays for them.
- Subjects:
- Land Surveying and Geo-Informatics and Transportation
- Keywords:
- Transportation -- Planning Geographic information systems Geospatial data
- Resource Type:
- Courseware
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Courseware
In this data rich world, we need to understand how things are organized on the Earth's surface. Those things are represented by spatial data and necessarily depend upon what surrounds them. Spatial statistics provide insights into explaining processes that create patterns in spatial data. In geographical information analysis, spatial statistics such as point pattern analysis, spatial autocorrelation, and spatial interpolation will analyze the spatial patterns, spatial processes, and spatial association that characterize spatial data. Understanding spatial analysis will help you realize what makes spatial data special and why spatial analysis reveals a truth about spatial data.
- Subjects:
- Land Surveying and Geo-Informatics
- Keywords:
- Spatial analysis (Statistics) Geographic information systems
- Resource Type:
- Courseware
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Courseware
This course focuses on the use of remotely sensed imagery and elevation data in GIS applications. Students enrolling in this course should have a solid conceptual foundation in geospatial information science and technology. The course is appropriate for those who are already working in the geospatial profession and wish to use imagery and elevation data in visualization and spatial analysis.
- Subjects:
- Land Surveying and Geo-Informatics
- Keywords:
- Geographic information systems Image processing -- Digital techniques
- Resource Type:
- Courseware
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Others
Software developments is advancing the technological world today. This changes have far more reaching implications in I.T industries such as Big data, Artificial intelligence and Agile Software development methodologies. Competition in the software development ecosystem has made developers to build software that are quick and reliable and often referred to as Agile development. Agile transformation is real and requires rethinking the business management, recruitment process and data strategy in a bid to stimulate disruptive solutions from within in-house development and deployment. AI product development would require rapid transformational changes within any organization. This can be accomplished by establishing specific operating models that permit development teams with the freedom of technology choice. This publication highlights some operating models that can be adopted to improve the success of AI products using Agile software development methodologies.
- Subjects:
- Computing, Data Science and Artificial Intelligence
- Keywords:
- Agile software development
- Resource Type:
- Others
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