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e-book
This book was written by two artist educators who teach digital art and design studio foundation classes. While teaching classes that take place in software laboratories, we noticed that many of our students expected to learn to use software, but gave little consideration to aesthetics or art and design history. A typical first day question is, "Are we going to learn Photoshop in this class?" At first we were tempted to oblige our students' thirst for so-called practical knowledge, but we recognize that in the absence of the visual, theoretical, and historical frameworks, practical knowledge is practically useless. To teach our classes, we used the very best of the software training manuals, and supplemented them with all the visual and historical material that was missing. After settling for years on books that don't really encapsulate a class, we finally decided to write the book that we think all introductory media design students should be using. For us, a student is anyone actively engaged in learning. A student can be working towards a degree in art, communication, graphic design, illustration, and so on in a traditional classroom setting, or a self-taught found-it-on-the-bookstore-shelf learner. In the twenty chapters that follow, we have shared small bites of history, followed by visual references, and then digital exercises that explore creative software in a manner that brings design principles into the software demo. Originally, this book was printed as a manual to the Adobe Creative Suite, the software found in classrooms and labs around the country. Just a month after the book was published, we teamed up with Floss Manuals to convert our manuscript into one that teaches the same design principles using open source software.
- Subjects:
- Interactive and Digital Media
- Keywords:
- Open source software Computer art
- Resource Type:
- e-book
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MOOC
This self-paced online course encourages extensive reading and helps students improve their reading and overall English skills. It has activities on different English books ranging from 59 Seconds to Animal Farm. There are also materials on the READ@PolyU 2017 book, The Perks of Being a Wallflower, the READ@PolyU 2018 book, Fifteen Dogs, and the READ@PolyU 2019 book, Persepolis. Created by the English Language Centre of the Hong Kong Polytechnic University.
- Subjects:
- English Language
- Keywords:
- English language -- Reading
- Resource Type:
- MOOC
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Others
Evaluate and improve your learning experiences for free.
- Keywords:
- Effective teaching Motivation in education Educational evaluation Learning
- Resource Type:
- Others
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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.
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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
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MOOC
How can we strengthen sustainability? By empowering individuals and communities to transform and balance dynamic natural resources, economic prosperity, and healthy populations. In this course, you’ll explore productive and disruptive social, ecological, and economic intersections – the “triple bottom line.” You’ll investigate a spectrum of global, national, regional, municipal and personal relationships that are increasing resiliency. Most importantly, you’ll learn how to effectively locate your interests, and to leverage optimistic change within emerging 21st century urban environments. This course will describe fundamental paradigm shifts that are shaping sustainability. These include connectivity, diversity, citizen engagement, collaboration source tracing, mapping, transportation, and integrative, regenerative design. We will take examples from cities around the globe; making particular use of the complex evolution of site-specific conditions within the Connecticut River watershed. In addition we will present tools and strategies that can be utilized by individuals, communities, and corporations to orchestrate effective and collective change. Each week, lessons will highlight the significance of clean water as a key indication of ecosystem, community and human health. Learners will be asked to investigate and share information about their local environment. Finally, we will note the impact of such disruptive forces as industrial pollution, changing governance, privatization of public services, mining of natural resources, public awareness, and climate change. A fundamental course goal will be to characterize indicators of economic prosperity and happiness that relate to environmental sustainability – and the capacity of individuals to create change.
- Subjects:
- Environmental Engineering, Building Services Engineering, and Building and Real Estate
- Keywords:
- Urban ecology (Sociology) Sustainable development
- Resource Type:
- MOOC
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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
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Courseware
Geo-information has proven to be extremely helpful in many aspects of risk and disaster management: locational and situational awareness, monitoring of hazards, damage detection, sharing of information, defining vulnerability areas, etc. This course aims to provide knowledge on risk and disaster management activities, demonstrate use of geo-information technologies in emergency response, outline current challenges and motivate young geo-specialist to seek for advanced solutions.
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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
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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