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Design Research
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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
In this course, you will obtain some insights about marketing to help determine whether there is an opportunity that actually exists in the marketplace and whether it is valuable and actionable for your organization or client. Week 1: Assess methods available for creating quantitative surveys, along with their advantages and disadvantages. Identify the type of questions that should be asked and avoid unambiguous survey questions. Week 2: Design, test, and implement a survey by identifying the target audience and maximizing response rates. You will have an opportunity to use Qualtrics, a survey software tool, to launch your own survey. Week 3: Analyze statistical models that can be applied to your marketing data, so that you can make data-driven decisions about your marketing mix. Week 4: Predict most likely outcomes from the marketing decisions and match the type of analysis needed for your business problem. Take Quantitative Research as a standalone course or as part of the Market Research Specialization. You should have equivalent experience to completing the second course in this specialization, Qualitative Research, before taking this course. By completing the third class in the Specialization, you will gain the skills needed to succeed in the full program.
- Subjects:
- Marketing and Statistics and Research Methods
- Keywords:
- Quantitative research Marketing research
- Resource Type:
- MOOC
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Courseware
This course teaches the principles and analysis of electromechanical systems. Students will develop analytical techniques for predicting device and system interaction characteristics as well as learn to design major classes of electric machines. Problems used in the course are intended to strengthen understanding of the phenomena and interactions in electromechanics, and include examples from current research.
- Subjects:
- Building Services Engineering and Electrical Engineering
- Keywords:
- Electric machines Electric machinery
- Resource Type:
- Courseware
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MOOC
go in-depth with qualitative market research methods, from design to implementation to analysis.
- Course related:
- HTM3205 Analysing and Interpreting Research
- Subjects:
- Statistics and Research Methods and Marketing
- Keywords:
- Marketing research Qualitative research
- Resource Type:
- MOOC
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e-journal
Aerospace is an international, peer-reviewed, open access journal (free for readers) devoted to the publication of original papers, review articles, short notes and communications related to all fields of aerospace science, engineering and technology, disclosing theoretical, fundamental and applied results linked to potential applications that are related to research, design, manufacture, operations, control and maintenance of aircraft and spacecraft.
- Subjects:
- Aeronautical and Aviation Engineering
- Keywords:
- Aeronautics Astronautics
- Resource Type:
- e-journal
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Courseware
6.858 Computer Systems Security is a class about the design and implementation of secure computer systems. Lectures cover threat models, attacks that compromise security, and techniques for achieving security, based on recent research papers. Topics include operating system (OS) security, capabilities, information flow control, language security, network protocols, hardware security, and security in web applications.
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e-book
Evolutionary algorithms are successively applied to wide optimization problems in the engineering, marketing, operations research, and social science, such as include scheduling, genetics, material selection, structural design and so on. Apart from mathematical optimization problems, evolutionary algorithms have also been used as an experimental framework within biological evolution and natural selection in the field of artificial life.
- Subjects:
- Computing, Data Science and Artificial Intelligence
- Keywords:
- Mathematical optimization Evolutionary programming (Computer science) Genetic algorithms
- Resource Type:
- e-book
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Courseware
Systematic reviews and meta-analyses are useful for evidence-based clinical and public health practice. The widespread and growing application of systematic review methods for the synthesis of evidence on important or pressing research and clinical questions underscore the need for health-care professionals to understand and critique this research design. This course will provide a detailed description of the systematic review process, discuss the strengths and limitations of the method, and provide step-by-step guidance on how to actually perform a systematic review and meta-analysis. Specific topics to be covered include: formulation of the review question, searching of literature, quality assessment of studies, data extraction, meta-analytic methods, assessment of heterogeneity and report writing. The course will also cover statistical issues such as selection of statistical models for meta-analysis, practical examples of fixed and random effects models, best evidence syntheses (qualitative systematic reviews) as well as examples of methods to evaluate heterogeneity and publication bias. STATA statistical software will be used to perform meta-analysis during the computer lab, along with tutorials on how to effectively use tools such as PubMed for conducting reviews.
- Subjects:
- Statistics and Research Methods
- Keywords:
- Meta-analysis Research -- Methodology Systematic reviews (Medical research)
- Resource Type:
- Courseware
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Courseware
The primary goal of this course is to promote an evidence-based approach to advanced nursing practice. Evidenced-based research findings for nursing practice will be evaluated in terms of racial, ethnic, and socioeconomic relevance. An understanding of the research process, applicable theories, organizational dynamics, and leadership functions are applied to design and process of implementing research in health care settings.
- Subjects:
- Statistics and Research Methods and Nursing
- Keywords:
- Nursing -- Research -- Methodology Evidence-based nursing
- Resource Type:
- Courseware
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Courseware
Exploration of space is never out of the news for long and the desire to construct lower-cost, reliable and more capable spacecraft has never been greater. At TU Delft years of technology development and research experience in space engineering allow us to offer this course, which examines spacecraft technologies for satellites and launch vehicles. This course provides: - knowledge of the technical principles of rockets and satellite bus subsystems; - the ability to select state-of-the-art, available components; - analysis of the physical and technical limitations of subsystem components; - identification of the key performance parameters of different spacecraft subsystems; - comparison of the values obtained by ideal theory and real-life ones; - opportunity to make preliminary designs for a spacecraft based on its key requirements. Other spacecraft types, such as interplanetary rovers, are not covered in this course. Spacecraft instrumentation and other payloads are also not covered.
- Subjects:
- Aeronautical and Aviation Engineering
- Keywords:
- Space vehicles
- Resource Type:
- Courseware