Search Constraints
Number of results to display per page
Results for:
Polyu oer sim
No
Remove constraint Polyu oer sim: No
Resource Type
MOOC
Remove constraint Resource Type: MOOC
« Previous |
1 - 50 of 72
|
Next »
Search Results
-
MOOC
In the past few decades, China's cities have experienced a period of rapid development. Great changes have taken place in both urban space and urban life. With the booming of information and communications technology (ICT), ‘Big data’ such as mobile phone signaling, public transportation smart card records and ‘open data’ from commercial websites and government websites jointly promote the formation of the ‘new data environment’, thus providing a novel perspective for a better understanding of what changes have happened or are happening in China’s cities. This course combines both the new data generated for urban analysis and its research applications. The content ranges from big data acquisition, analysis, visualization and applications in the context of China’s urbanization and its city planning, to urban modeling methods and typical models, as well as the emerging trend and potential revolution of big data in urban planning. We have categorized the overall content of this online course into five sections, namely, overview, data, data processing, application, and perspective. The section of overview introduces cities in transition and describe the changing of urban space and urban life in China. The second section lists some commonly used open data and big data in the ‘new data environment’. Then, methods for data acquisition, cleaning and analysis are illustrated in data processing section. To better explain the data analysis method, the fourth part introduces several Chinese research cases to illustrate the application of these methods in urban research. Last but not least, the last section is the most future-oriented one, which is composed of some methodologies and proposals such as Data Augmented Design (DAD) and Big Model. This course, which shares experiences on big data analysis and its research application, will suit those concerning contemporary urbanizing China and its urban planning in the context of information and communication technologies.
- Subjects:
- Building Services Engineering and Building and Real Estate
- Keywords:
- China Cities towns -- Data processing City planning Big data
- Resource Type:
- MOOC
-
MOOC
Building construction is one of the most waste producing sectors. In the European Union, construction alone accounts for approximately 30% of the raw material input. In addition, the different life-cycle stages of buildings, from construction to end-of-life, cause a significant environmental impact related to energy consumption, waste generation and direct and indirect greenhouse gas emissions. The Circular Economy model offers guidelines and principles for promoting more sustainable building construction and reducing the impact on our environment. If you are interested in taking your first steps in transitioning to a more sustainable manner of construction, then this course is for you! In this course you will become familiar with circularity as a systemic, multi-disciplinary approach, concerned with the different scale, from material to product, building, city, and region. Some aspects of circularity that will be included in this course are maximizing reuse and recycle levels by closing the material loops. You will also learn how the Circular Economy can help to realign business incentives in supply chains, and how consumers can be engaged and contribute to the transition through new business models enabling circular design, reuse, repair, remanufacturing and recycling of building components. In addition, you will learn how architecture and urban design can be adapted according to the principles of the Circular Economy and ensure that construction is more sustainable. You will also learn from case studies how companies already profitably incorporate this new theory into the design, construction and operation of the built environment.
- Subjects:
- Building and Real Estate
- Keywords:
- Construction industry -- Environmental aspects Building materials -- Recycling Sustainable construction
- Resource Type:
- MOOC
-
MOOC
This course provides the tools needed to build a low-carbon power sector around the world. By diving into the perspective of different players in the power sector - from investors through to utilities, regulators and project developers - you will be able to choose the right strategies, policies and other levers needed to incentivise a cleaner power mix in your own context. This course explores the mix of approaches that can create a pro-renewables environment. It explores this from a policy, regulatory and supply-chain perspective and examines the incentives and rules available. Key policies are brought to life through case studies, learning from both success and failure. Key messages of the course include: - Ambitions for renewable electricity must be grounded in technical and financial feasibility - Pro-renewables environments recognise the needs of energy supply chain actors (e.g. project developers, utilities, regulators, electricity customers) and balances pricing, fiscal and financial and wider policies to incentivise and drive deployment - There are multiple ways to encourage deployment of renewables across different scales – these have strengths and weaknesses and must balance rate of deployment, affordability and efficiency of generation - Incentives and rules are a package and can be aligned to deliver affordable, efficient renewable electricity - several real-world examples demonstrate this - Different countries have succeeded and failed in creating pro-renewables environments – demonstrating that while lessons can be used from these experiences, there is no single route to success and the environment must be bespoke to the circumstances of the country. This course should help decision makers across the electricity supply chain, in both the public and private sector, understand what mix of incentives is ideal from their perspective.
- Subjects:
- Environmental Engineering, Building Services Engineering, and Environmental Policy and Planning
- Keywords:
- Electric power distribution -- Environmental aspects Renewable energy sources
- Resource Type:
- MOOC
-
MOOC
reviews a range of survey data collection methods that are both interview-based (face-to-face and telephone) and self-administered (paper questionnaires that are mailed and those that are implemented online, i.e. as web surveys).
- Subjects:
- Statistics and Research Methods
- Keywords:
- Qualitative research Quantitative research Social sciences -- Research -- Methodology
- Resource Type:
- MOOC
-
MOOC
The building industry is exploding with data sources that impact the energy performance of the built environment and health and well-being of occupants. Spreadsheets just don’t cut it anymore as the sole analytics tool for professionals in this field. Participating in mainstream data science courses might provide skills such as programming and statistics, however the applied context to buildings is missing, which is the most important part for beginners. This course focuses on the development of data science skills for professionals specifically in the built environment sector. It targets architects, engineers, construction and facilities managers with little or no previous programming experience. An introduction to data science skills is given in the context of the building life cycle phases. Participants will use large, open data sets from the design, construction, and operations of buildings to learn and practice data science techniques. Essentially this course is designed to add new tools and skills to supplement spreadsheets. Major technical topics include data loading, processing, visualization, and basic machine learning using the Python programming language, the Pandas data analytics and sci-kit learn machine learning libraries, and the web-based Colaboratory environment. In addition, the course will provide numerous learning paths for various built environment-related tasks to facilitate further growth.
- Keywords:
- City planning -- Statistical methods Python (Computer program language) Information visualization
- Resource Type:
- MOOC
-
MOOC
In autonomous vehicles such as self-driving cars, we find a number of interesting and challenging decision-making problems. Starting from the autonomous driving of a single vehicle, to the coordination among multiple vehicles. This course will teach you the fundamental mathematical model for many of these real-world problems. Key topics include Markov decision process, reinforcement learning and event-based methods as well as the modelling and solving of decision-making for autonomous systems. This course is aimed at learners with a bachelor's degree or engineers in the automotive industry who need to develop their knowledge in decision-making models for autonomous systems. Enhance your decision-making skills in automotive engineering by learning from Chalmers, one of the top engineering schools that distinguished through its close collaboration with industry.
- Subjects:
- Electrical Engineering, Mechanical Engineering, and Transportation
- Keywords:
- Decision making Automobiles -- Design construction Automated vehicles
- Resource Type:
- MOOC
-
MOOC
Explore key concepts in the new field of design theory. Gain fundamental knowledge of what design is and its relation to culture, economics, and the arts.
- Keywords:
- Design Design -- Social aspects Design -- Philosophy
- Resource Type:
- MOOC
-
MOOC
This course provides an introduction to the foundational activities related to design thinking: a flexible, yet systematic process to define and solve problems. A common misconception is that design thinking requires artistry, but it is not centered on artistic principles. Design thinking is a strategy and mindset that can be applied to any industry to solve problems.
- Subjects:
- Design Elements
- Keywords:
- Design -- Methodology Problem solving Industrial design
- Resource Type:
- MOOC
-
MOOC
When you immerse yourself in the context of the user, you can uncover pain points and find opportunities for improvement or innovation not always evident to your audience. In this course, part of the Design Thinking MicroMasters program, you will learn how to use simple research methodologies including active listening to understand your target audience and uncover their obvious or latent needs. Emphasis will be placed on observation and interviewing as key methods to gain empathy for the user's experience and viewpoint. Equipped with this understanding, you will be prepared to identify and define more accurately the business problem. You will also review case studies and discuss strategies to foster productive client-stakeholder relationships, including user personification, context understanding, and empathy idea mapping (ideas that resonate with your target audience).
- Subjects:
- Design Elements
- Keywords:
- Design -- Methodology Problem solving Industrial design
- Resource Type:
- MOOC
-
MOOC
Creating prototypes puts a proposed solution into action. In this course, you will learn the value of prototypes and user testing as critical components of the design thinking process. You will examine case studies to understand the iterative process of prototyping and discover how new products and ideas can emerge as a result. As part of the Design Thinking MicroMasters program, you will study how to analyze and implement the results of user testing to ensure your solution can fully benefit from this inclusive and innovative process. Best practices for evaluating solutions will also be covered, including surveys, user evaluations, focus groups and interviews.
- Subjects:
- Design Elements
- Keywords:
- Design -- Methodology Industrial design
- Resource Type:
- MOOC
-
MOOC
Too often modern cities and suburbs are disorganized places where most new development makes daily life less pleasant, creates more traffic congestion, and contributes to climate change. This trend has to change; and our course is going to show you how. Ecodesign means integrating planning, urban design and the conservation of natural systems to produce a sustainable built and natural environment. Ecodesign can be implemented through normal business practices and the kinds of capital programs and regulations already in use in most communities. We will show you how ecodesign has already been used for exceptional projects in many cities and suburbs—from Hammarby Sjöstad in Stockholm to False Creek North in Vancouver to Battery Park City in Manhattan, as well as many smaller-scale examples that can be adopted in any community. Cities and suburbs built according to ecodesign principles can and should become normal, instead of just a few special examples, transforming urban development into desirable, lower-carbon, compact and walkable communities and business centers. As this course describes specific solutions to the vexing urban challenges we all face, course participants can see how these ideas might be applied in their own area. Participants will learn the conceptual framework of ecodesign, see many real, successful examples, and come to understand the tools, processes, and techniques for policy development and implementation. Ecodesign thinking is relevant to anyone who has a part in shaping or influencing the future of cities and suburbs – citizens, students, designers, public officials, and politicians. At the conclusion of the course participants will have the tools and strategies necessary to advocate policies and projects for a neighbourhood or urban district using the ecodesign framework.
- Subjects:
- Environmental Engineering, Building Services Engineering, and Building and Real Estate
- Keywords:
- Cities towns -- Growth City planning -- Environmental aspects Regional planning
- Resource Type:
- MOOC
-
MOOC
Electric powertrains are estimated to propel a large part of road vehicles in the future, due to their high efficiency and zero tailpipe emissions. But, the cost and weight of batteries and the time to charge them are arguments for the conventional powertrain in many vehicles. This makes it important for engineers working with vehicles to understand how both these powertrains work, and how to determine their performance and energy consumption for different type of vehicles and different ways of driving vehicles. This course is aimed at learners with a bachelor's degree or engineers in the automotive industry who need to develop their knowledge about electric powertrains. In this course, you will learn how electric and conventional combustion engine powertrains are built and how they work. You will learn methods to calculate their performance and energy consumption and how to simulate them in different driving cycles. You will also learn about the basic function, the main limits and the losses of: Combustion engines, Transmissions Electric machines, Power electronics Batteries. This knowledge will also be a base for understanding and analysing different types of hybrid vehicles, discussed in the course, Hybrid Vehicles. As a result of support from MathWorks, students will be granted access to MATLAB/Simulink for the duration of the course.
- Subjects:
- Electrical Engineering, Mechanical Engineering, and Transportation
- Keywords:
- Electric vehicles Automobiles -- Power trains
- Resource Type:
- MOOC
-
MOOC
Humanity faces an immense challenge: providing abundant energy to everyone without wrecking the planet. If we want a high-energy future while protecting the natural world for our children, we must consider the environmental consequences of energy production and use. But money matters too: energy solutions that ignore economic costs are not realistic, particularly in a world where billions of people currently can’t afford access to basic energy services. How can we proceed? Energy Within Environmental Constraints won’t give you the answer. Instead, we will teach you how to ask the right questions and estimate the consequences of different choices. This course is rich in details of real devices and light on theory. You won’t find any electrodynamics here, but you will find enough about modern commercial solar panels to estimate if they would be profitable to install in a given location. We emphasizes costs: the cascade of capital and operating costs from energy extraction all the way through end uses. We also emphasize quantitative comparisons and tradeoffs: how much more expensive is electricity from solar panels than from coal plants, and how much pollution does it prevent? Is solar power as cost-effective an environmental investment as nuclear power or energy efficiency? And how do we include considerations other than cost? This course is intended for a diverse audience. Whether you are a student, an activist, a policymaker, a business owner, or a concerned citizen, this course will help you start to think carefully about our current energy system and how we can improve its environmental performance.
- Subjects:
- Environmental Engineering, Building Services Engineering, and Building and Real Estate
- Keywords:
- Environmental protection Environmental management Renewable energy sources Power resources
- Resource Type:
- MOOC
-
MOOC
focus on contemporary challenges that managers and entrepreneurs in food and beverage businesses should be able to face; and provide models and tools to design and implement appropriate courses of action to satisfy customers and build an advantage over the competition.
- Subjects:
- Food and Beverage
- Keywords:
- Food service management
- Resource Type:
- MOOC
-
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
-
MOOC
Handling statistical data is an essential part of psychological research. However, many people find the idea of using statistics, and especially statistical software packages, extremely daunting. This free course, Getting started with SPSS, takes a step-by-step approach to statistics software through seven interactive activities. No statistics software is needed.
- Keywords:
- SPSS (Computer file) Statistics -- Computer programs Statistics -- Data processing
- Resource Type:
- MOOC
-
MOOC
covers the basics of hotel demand management, distribution, and revenue management. participants will learn how e-commerce intermediaries such as online travel agencies are impacting the already-complex hospitality sector, and explore tools and techniques that will help you effectively market hospitality services and maximize business revenue in this new global industry landscape.
- Subjects:
- Hotel, Travel and Tourism
- Keywords:
- Hospitality industry -- Marketing Hotel management Hospitality industry -- Management
- Resource Type:
- MOOC
-
MOOC
Virtual reality is changing the way we interact with the world. But how does it work, what hardware is involved, and how is software written for it? In this course, part of the Virtual Reality Professional Certificate program, we will explore the foundations of user-friendly virtual reality app development for consumers, as well as enterprise solutions. Both hardware and software aspects will be discussed. You will learn to evaluate devices necessary for virtual reality applications, what their differences are, how you write interactive applications for virtual reality, and we will discuss the most frequent problems you are going to need to solve to write virtual reality software. In this course, you will explore the basics of virtual reality software through copying and modifying JavaScript to explore tradeoffs in VR application design. Extensive programming experience is not required. By the end of this course, you will understand what is important for successful virtual reality software and learn how to write simple virtual reality programs themselves with WebVR. This course is taught by an instructor with almost two decades of experience in virtual reality who leads the Immersive Visualization Laboratory at UC San Diego.
- Subjects:
- Interactive and Digital Media and Computing
- Keywords:
- Computer simulation Virtual reality Human-computer interaction
- Resource Type:
- MOOC
-
MOOC
Why are hybrid vehicles still more common than battery electric ones? Why are electric vehicles still more expensive than conventional or hybrid ones? In this course, you will get the answers to this and much more. While electric motors can improve vehicles regarding performance, energy consumption and emissions, they suffer from high cost and weight of batteries. Smart combinations of electric motors and combustion engines in a hybrid powertrain can combine these strengths with the advantages of combustion engines. This course is aimed at learners with a bachelor's degree or engineers in the automotive industry who need to develop their knowledge about hybridpowertrains. Inthis course, we willexamine different mechanical layouts of hybrid powertrains and how they influence the performance and complexity of the powertrain. Different sizing of powertrains in micro, mild, full hybrids, as well as plug-in hybrids, is also discussed and you'll learn how they can be modelled and analyzed for example by simulation of driving cycles. You will also learn about the Energy Management system and how this controls the hybrid powertrain modes and when to charge and discharge the battery. As a result of support from MathWorks, students will be granted access to MATLAB/Simulink for the duration of the course.
- Subjects:
- Electrical Engineering, Mechanical Engineering, and Transportation
- Keywords:
- Electric vehicles Hybrid electric vehicles
- Resource Type:
- MOOC
-
MOOC
Wind turbines and solar panels are likely to play a critical role in achieving a low-carbon power sector that helps address climate change and local pollution, resulting from fossil fuel power generation. Because wind and solar power output is weather-dependent, it is variable in nature and somewhat more uncertain than output from conventional fossil fuel generators. It is therefore important to consider how to manage high penetrations of solar and wind so as to maintain electricity system reliability. This introductory course, delivered by Ieading academics from Imperial College London, with technical input and contributions from the National Energy Renewable Lab (Golden, Colorado), will discuss what challenges variable output renewables pose to the achievability of a reliable, stable electricity system, how these challenges can be addressed and at what costs. Its overall objective is to demonstrate that there is already a range of established technologies, policies and operating procedures to achieve a flexible, stable, reliable electricity system with a high penetration of renewables such as wind and solar. The course uses a variety of country and context-specific examples to demonstrate the concepts. Policy makers, regulators, grid operators and investors in renewable electricity will benefit from a solid understanding of these considerations, thereby helping them drive forward the development of a fit-for-purpose clean power system in their own regional context.
- Subjects:
- Environmental Engineering and Building Services Engineering
- Keywords:
- Electric power production Renewable energy sources Electric power distribution
- Resource Type:
- MOOC
-
MOOC
for individuals who are desirous of discovering the career opportunities and adventures available to and experienced by the Hospitality/Tourism industry professional person.
- Subjects:
- Hotel, Travel and Tourism
- Keywords:
- Hospitality industry
- Resource Type:
- MOOC
-
MOOC
In this course, you will explore several key issues that educators need to understand about teaching and learning in the digital age. We will look at how online learning is different from traditional methods of learning, examine how the digital practices of young people are continually changing, and explore some key considerations that need to be addressed while designing learning environments that are engaging and student-centered. We will investigate the ways in which education is evolving and, in turn, how the roles of teachers are changing in the digital world. We will review the history of online learning, and some key characteristics of successful online learning spaces. We will learn about digital literacies and how online reading and writing is different from paper-based reading and writing, and what implications this has for schooling. Finally, we will look at some key design considerations that educators need to be mindful of while working toward deeper engagement and meaningful learning experiences. This course is part of the Virtual Online Teaching (VOLT) program at the University of Pennsylvania’s Graduate School of Education. The VOLT program seeks to equip educators with the skills and knowledge necessary to meet the needs of the 21st century learner.
- Keywords:
- Web-based instruction Blended learning Distance education -- Computer-assisted instruction
- Resource Type:
- MOOC
-
MOOC
Are you an educator? Have you ever wanted to understand more about how to design your class to make better use of educational technology – whether fully online or in blended contexts? Would you like to learn from those who have extensive practical experience with online technologies? The Learning to Teach Online (LTTO) MOOC will help you develop a working understanding of successful online teaching strategies that you can apply in your own practice. The course is based upon the multi award winning open educational resource developed by Dr Simon McIntyre and Karin Watson. Integrating online technologies into your teaching can be a challenging prospect, and it can be difficult to know how to approach it effectively for the benefit of both students and yourself. No one knows your own content and teaching strengths better than you, and the “one size fits all” formula doesn’t always suit everyone. No matter what type of technology you are interested in exploring or your level of experience, this course will help you draw on your teaching strengths and find the approach that is right for you, your students and your educational context. This course will guide you through your journey of understanding how online technologies can enhance your course design. You will have the opportunity to develop your understanding of effective online teaching practices and their relationship to the use of different technologies. You will also be encouraged to progressively design and reflect upon your own online learning activity, assessment or resource for use in your own class if you choose to undertake the course assignments.
- Keywords:
- Web-based instruction Distance education Computer-assisted instruction
- Resource Type:
- MOOC
-
MOOC
You will also learn about the practical factors that need to be taken into consideration during the transition process, i.e. the competency of your people and your IT, in order to successfully implement a new business model. What you'll learn: How to create a business model roadmap. How to plan concrete actions to realize a new business model. How to find partners to realize a new business model. In this business and management course, you will learn how to make a practical action plan to implement your new business model. Designing a new business model is one thing, but how do you actually put it into practice? How do you move from your current model to a new business model? You will create a business model roadmap that will include practical activities that take into consideration the possible risks associated with moving to a new business model.
- Subjects:
- Management
- Keywords:
- Business planning Strategic planning Industrial management
- Resource Type:
- MOOC
-
-
MOOC
Does your business need a make-over? Are you unsure how to start? Having an innovative business model is key for a profitable business and growth. In this business and management course, you will learn how to design, test and implement new business models for sustainable success. This course introduces you to the main topics of business model innovation. You will learn what drives business model innovation and why it is valuable to you and your business. You will apply practical tools to (re)design and test a business model. Be inspired by real-life business model examples from fellow entrepreneurs and learn from leading experts who design business model innovations. By the end of this course, you will be able to structure your thinking and communicate your business model ideas and learn how to improve your own business. Start the course anytime, and complete it at your own pace! What you'll learn: What a business model is. Why business models matter to your firm and the value they bring. How business model innovation improves business performance. How tooling can help you to innovate your business model.in
- Subjects:
- Management
- Keywords:
- Business planning Strategic planningIndustrial management
- Resource Type:
- MOOC
-
-
MOOC
The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. This beginner-friendly program will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications.
This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field.
This 3-course Specialization is an updated version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012.
It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.) By the end of this Specialization, you will have mastered key concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems. If you’re looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start.
- Course related:
- AAE5103 Artificial Intelligence in Aviation Industry
- Subjects:
- Computing
- Keywords:
- Machine learning Artificial intelligence
- Resource Type:
- MOOC
-
MOOC
Gone are the days when Problem Solving and Decision Making often happened within the four walls of a top boss’s cabin. In the beginning of this century - As we blinked our eyes, the world changed, cabins broke down to give way to open offices, traditional management hierarchy collapsed and saw a horizontal spread. With delegation and authority batons being passed to the executive and trainee levels, Problem Solving and Decision Making skills became a must have quality at all levels in an organization. In simple words it is – have it or leave it.
That’s less said - Just learning the skill of solving problems and taking good decisions isn’t enough. Today, the modern workplace demands the new age executives and managers to expand their potential of creative thinking and bring it to the table while solving problems and making decisions. There is one more news for you, Creativity, Problem Solving and Decision Making skills are no more confined to the management and leadership levels, students who aspire for their dream jobs to be a reality, also will have to bring these skills along with their candidature.
That is why, we decided to offer this practical and highly researched course with all these 3 skills clubbed into 1 course so that you may not have to search anywhere - anymore.
If at any point of your life, you ever felt the need to work upon your creative thinking ability or your problem solving skills or even your decision making capability, look no further, this course is just the right one for you.
- Course related:
- SD5131 Interdisciplinary Project
- Keywords:
- Problem solving Creative thinking Critical thinking
- Resource Type:
- MOOC
-
MOOC
Many natural and man-made structures can be modeled as assemblages of interconnected structural elements loaded along their axis (bars), in torsion (shafts) and in bending (beams). In this course you will learn to use equations for static equilibrium, geometric compatibility and constitutive material response to analyze structural assemblages. This course provides an introduction to behavior in which the shape of the structure is permanently changed by loading the material beyond its elastic limit (plasticity), and behavior in which the structural response changes over time (viscoelasticity). This is the second course in a 3-part series. In this series you will learn how mechanical engineers can use analytical methods and “back of the envelope” calculations to predict structural behavior. The three courses in the series are: Part 1 – 2.01x: Elements of Structures. (Elastic response of Structural Elements: Bars, Shafts, Beams). Fall Term Part 2 – 2.02.1x Mechanics of Deformable Structures: Part 1. (Assemblages of Elastic, Elastic-Plastic, and Viscoelastic Bars in axial loading). Spring Term Part 3 – 2.02.2x Mechanics of Deformable Structures: Part 2. (Assemblages of bars, shafts, and beams. Multi-axial Loading and Deformation. Energy Methods). Summer Term
- Subjects:
- Mechanical Engineering
- Keywords:
- Strength of materials Deformations (Mechanics)
- Resource Type:
- MOOC
-
MOOC
Modeling, control design, and simulation are important tools supporting engineers in the development of automotive systems, from the early study of system concepts (when the system possibly does not exist yet) to optimization of system performance. This course provides a theoretical basis to model-based control design with the focus on systematically develop mathematical models from basic physical laws and to use them in control design process with specific focus on automotive applications. You will learn the basics of mathematical modeling applied to automotive systems, and based on the modeling framework different type of controller and state estimation methods will be introduced and applied. Starting from a pure state-feedback concept down to optimal control methods, with special attention on different automotive applications. Different methods for state reconstruction is also introduced and discussed in the course. Exercises play an important rolethroughout the course. This course is aimed at learners with a bachelor's degree or engineers in the automotive industry who need to learn more about mathematical modelling of automotive systems.
- Subjects:
- Electrical Engineering, Mechanical Engineering, and Transportation
- Keywords:
- Automobiles -- Design construction -- Mathematical models Motor vehicles -- Dynamics
- Resource Type:
- MOOC
-
MOOC
Autonomous vehicles, such as self-driving cars, rely critically on an accurate perception of their environment. In this course, we will teach you the fundamentals of multi-object tracking for automotive systems. Key components include the description and understanding of common sensors and motion models, principles underlying filters that can handle varying number of objects, and a selection of the main multi-object tracking (MOT) filters. The course builds and expands on concepts and ideas introduced in CHM013x: ""Sensor fusion and nonlinear filtering for automotive systems"". In particular, we study how to localize an unknown number of objects, which implies various interesting challenges. We focus on cameras, laser scanners and radar sensors, which are all commonly used in vehicles, and emphasize on situations where we seek to track nearby pedestrians and vehicles. Still, most of the involved methods are more general and can be used for surveillance or to track, e.g., biological cells, sports athletes or space debris. The course contains a series of videos, quizzes and hands-on assignments where you get to implement several of the most important algorithms. Learn from award-winning and passionate teachers to enhanceyour knowledge at the forefront of research on self-driving vehicles. Chalmers is among the top engineering schools that distinguish itself through its close collaboration with industry.
- Subjects:
- Electrical Engineering, Mechanical Engineering, and Transportation
- Keywords:
- Automobiles -- Design construction Computer vision Automated vehicles
- Resource Type:
- MOOC
-
MOOC
Education is in a state of flux – transitioning from traditional architectures and practices to new ecologies of teaching and learning influenced by the tremendous social and technological changes of our times. What changes are afoot today in workplaces, civic life and everyday community life? What are their implications for education? What are the possible impacts of contemporary social transformations on teaching and learning - including in the areas of technology, media, globalization, diversity, changing forms of work in the “knowledge society”, and, in these contexts, changing learner needs and sensibilities? This course explores three pedagogical paradigms: “didactic”, “authentic” and “transformative” learning. It takes an historical perspective in order to define the contemporary dimensions of what we term “new learning”. It prepares participants to make purposeful choices and link particular theories/instructional approaches to individual and group learning goals.
- Keywords:
- Education -- Study teaching Educational change Learning
- Resource Type:
- MOOC
-
MOOC
This course provides a basic and general knowledge of Nursing Management and Leadership and describes the basic features of leadership and practical applications in terms of leadership, personal development and work experience. By following this course, you will make significant progress in Leadership and in your business life. This course, where leadership courses are taught through Nursing Management and Leadership, will open new doors for you in your business life.
The information presented in this course is constantly updated. We know that the Udemy certificate you will receive will offer you many opportunities in your life and career, as well as improving yourself. Increasing the lessons by continuously adding the information in this course by your teachers, academics and expert technical team requires you to check your course at frequent intervals. This course, which is your lifelong access, will continue to provide you with more up-to-date and different approach.
What is Nursing Management?
- Subjects:
- Nursing
- Keywords:
- Nursing services -- Administration Leadership
- Resource Type:
- MOOC
-
MOOC
In this course, participants will explore research-informed, effective practices for online teaching and learning. By enrolling, you will learn practical ways to quickly move into teaching online, guided by top scholars and practitioners in the field. Each module, you will watch videos and read articles by online learning experts and participate in activities and discussions covering critical topics that will make the online environment a rich learning experience for your students. The instructors will synthesize relevant resources to help those who are new to online learning and those who have experience, but want to expand their skills and provide support for others. You will have the opportunity to ask questions, share practices that have worked well in online learning environments, and receive feedback on your teaching and learning plans. Given recent global developments related to COVID-19, many have rapidly shifted to move teaching online. For those who have not taught online before, this can be a challenging experience. Fortunately, there is a rich research base, dating back over sixty years, that provides insight and guidance on the key factors that enable successful learning online. This course will support the pivot to online learning by exploring the scientific literature as well as practical actions that enable online success and equitable outcomes for all learners. While the target audience of the course is postsecondary institutions, this course will be of use to anyone moving into online teaching and learning.
-
MOOC
In this course you will learn about a wide variety of Web 2.0 tools to use in your teaching and learning. Web 2.0 tools provide innovative ways to communicate, present content, and collaborate with others in creative ways. Web 2.0 tools are easy to learn, use, and implement, and many are free. This course will not only introduce you to popular Web 2.0 tools like Edmodo, Twitter, Voicethread, and Skype in K-16 instruction, but you will also learn how to effectively integrate these technologies into your classroom practices and create engaging student activities.
- Keywords:
- Internet in education Computer-assisted instruction Educational technology Educational innovations
- Resource Type:
- MOOC
-
MOOC
This course is an introduction to the Delft Design Approach offering a model and a set of signature methods from Delft to teach you how to get from understanding the user in context to defining a meaningful design challenge and – in the end – deliver a great design! The course challenges you to experience the design process yourself and reflect on your work with the help of students and excellent teaching staff from Delft, and industrial experts. What you'll learn: - How to study users in their own environment; - How to translate user insights into a design challenge that will spark creativity; - How to create a meaningful design to meet your challenge; - How to design and to structure your projects with the support of design thinking, a model and several methods; - How to evaluate and present your design.
- Subjects:
- Product Design
- Keywords:
- Commercial products Industrial design Product design New products
- Resource Type:
- MOOC
-
MOOC
go in-depth with qualitative market research methods, from design to implementation to analysis.
- Subjects:
- Marketing and Statistics and Research Methods
- Keywords:
- Qualitative research Marketing research
- Resource Type:
- MOOC
-
MOOC
In this course you will be introduced to the basic ideas behind the qualitative research in social science. You will learn about data collection, description, analysis and interpretation in qualitative research. Qualitative research often involves an iterative process. We will focus on the ingredients required for this process: data collection and analysis. You won't learn how to use qualitative methods by just watching video's, so we put much stress on collecting data through observation and interviewing and on analysing and interpreting the collected data in other assignments. Obviously, the most important concepts in qualitative research will be discussed, just as we will discuss quality criteria, good practices, ethics, writing some methods of analysis, and mixing methods. We hope to take away some prejudice, and enthuse many students for qualitative research.
- Subjects:
- Statistics and Research Methods
- Keywords:
- Qualitative research -- Methodology Social sciences -- Research -- Methodology
- Resource Type:
- MOOC
-
MOOC
This short course is adapted from a semester length graduate level coursetaught at MIT covering Qualitative Research Methods. This online course will focus specifically on teaching how to prepare for and conduct a conversational interview for data gathering purposes. We will also discuss the nature of qualitative research as a methodology, how it compares and differs from other forms of research, and how qualitative and quantitative research complement each other in a research project. This isthe first in a multi-part series which will be released over the coming year, which will focus on Conversational Interviewing, Data Analysis, and Constructing Theory. You might have encountered other forms of interview techniques in your studies and training. The form that we are teaching is the preferred method of Professor Silbey's, one that she has used extensively throughout her career. The goal is to construct an interview protocol such that you will be able to guide your interviewee through topics of interest to your study without bringing them up explicitly, in order to explore experiences and accounts without pointing respondents in particular directions. Not sure what an interview protocol is? No problem! You will by the end of the course.
- Subjects:
- Statistics and Research Methods
- Keywords:
- Conversation analysis Qualitative research -- Methodology Social sciences -- Research -- Methodology Interviewing
- Resource Type:
- MOOC
-
MOOC
Cities are becoming the predominant living and working environment of humanity, and for this reason, livability or quality of life in the city has become crucial. This urban planning course will focus on four areas that directly affect livability in a city: Urban energy, urban climate, urban ecology and urban mobility. The course begins by presenting measurable criteria for the assessment of livability, and how to positively influence the design of cities towards greater livability. We will focus on this basic topic of the human habitat in a holistic way, and introduce possibilities of participatory urban design by citizens, leading towards the development of a citizen design science. You will be able to share your experiences with the other participants in the course and also with the experts from the teaching team. In completing this course, you will better understand how to make a city more livable by going beyond the physical appearance and by focusing on different properties and impact factors of the urban system. Livability in Future Cities is the second course in a series of MOOCs under the title “Future Cities.” This series aims to bring the latest research on planning, managing and transforming cities to places where this knowledge has the highest benefit for its citizens. “Future Cities” provided an overview, and this course will focus on livability in existing and new cities.
- Subjects:
- Building Services Engineering and Building and Real Estate
- Keywords:
- Smart cities Urban ecology (Sociology) Cities towns -- Effect of technological innovations on Quality of life City planning
- Resource Type:
- MOOC
-
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
-
MOOC
over the basic elements of designing and evaluating questionnaires.
- Subjects:
- Statistics and Research Methods
- Keywords:
- Social surveys Social sciences -- Research Questionnaires -- Methodology
- Resource Type:
- MOOC
-
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
-
MOOC
Engineers in the automotive industry are required to understand basic safety concepts. With increasing worldwide efforts to develop connected and self-driving vehicles, traffic safety is facing huge new challenges. This course is for students or professionals who have a bachelor's degree in mechanical engineering or similar and who are interested in a future in the vehicle industry or in road design and traffic engineering. It's also of value for people already working in these areas who wantbetter insight into safety issues. This course teaches the fundamentals of active safety (systems for avoiding crashes or reducing crash consequences) as well as passive safety (systems for avoiding or reducing injuries). Key concepts include in-crash protective systems, collision avoidance, and safe automated driving. The course will introduce scientific and engineering methodologies that are used in the development and assessment of traffic safety and vehicle safety. This includes methods to study the different components of real-world traffic systems with the goal to identify and understand safety problems and hazards. It includes methods to investigate the attitudes and behavior of drivers and other road users as well as recent solutions to improve active safety. Italso includes methods to study human body tolerance to impact and solutions to minimize the injury risk in crashes. Study topics include crash data analysis and in-situ observational studies of drivers and other road users by the use of instrumented vehicles and roadside camera systems. Solutions in active safety, such as driver alertness monitoring, driver information as well as collision avoidance and collision mitigation systems, will be described. Examples of in-crash protective systems are combinations of traditional restraints such as seat belts and airbags but with advanced functions such as automatic adaption to the individual occupant as well as pre-collision activation based on advanced integrated sensor systems and communication systems. The course will be based on recorded lectures that use videos and animations to enhance the experience. Online tutorials that access simulation models will give the participants an experience of influencing parameters in active safety and passive safety systems. As a result of support from MathWorks, students will be granted access to MATLAB/Simulink for the duration of the course.
- Subjects:
- Transportation
- Keywords:
- Traffic safety Roads -- Design construction Motor vehicles -- Safety measures Automobile industry trade
- Resource Type:
- MOOC
-
MOOC
Although taking, sharing, and viewing photographs has become second nature for many of us, our regular engagement with images does not necessarily make us visually literate. This course aims to address the gap between seeing and truly understanding photographs by introducing a diversity of ideas, approaches, and technologies that inform their making. In this course you will look closely at photographs from the collection of The Museum of Modern Art and hear a variety of perspectives on what a photograph is and the ways that photography has been used throughout its nearly 180 year history: as a means of artistic expression, as a tool for science and exploration; as an instrument of documentation; to tell stories and record histories; and as a mode of communication and critique in our ever increasingly visual culture.
- Subjects:
- Photography
- Keywords:
- Photography Photographs Art photography
- Resource Type:
- MOOC
-
MOOC
In this course, we will introduce you to the fundamentals of sensor fusion for automotive systems. Key concepts involve Bayesian statistics and how to recursively estimate parameters of interest using a range of different sensors. The course is designed for students who seek to gain a solid understanding of Bayesian statistics and how to use it to fuse information from different sensors. We emphasize object positioning problems, but the studied techniques are applicable much more generally. The course contains a series of videos, quizzes and hand-on assignments where you get to implement many of the key techniques and build your own sensor fusion toolbox. The course is self-contained, but we highly recommend that you also take the course ChM015x: Multi-target Tracking for Automotive Systems. Together, these courses give you an excellent foundation to tackle advanced problems related to perceiving the traffic situation around an autonomous vehicle using observations from a variety of different sensors, such as, radar, lidar and camera.
- Subjects:
- Electrical Engineering, Mechanical Engineering, and Transportation
- Keywords:
- Automobiles -- Electronic equipment Automotive sensors
- Resource Type:
- MOOC
-
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
-
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
-
-
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
-
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
-
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