Price: USD383.99* This article was originally published here
Monday, November 18, 2019
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The Next Generation of Infrastructure
We increasingly depend on reliable and affordable supply of energy, water, transport, telecommunication and information services to improve livability and facilitate economic development. However, today's infrastructure systems are drastically changing. They are becoming more and more web-based, interconnected and transnational, with increasingly fragmented public and private ownership, while new technologies are on their way. The capital need for investment in new infrastructures and upgrading of ageing infrastructures is tremendous. During this infrastructure course you will learn to examine these challenges from a new, combined engineering and social sciences perspective. Subsequently we will focus on the challenges that complex adaptive infrastructure systems pose for governance, management and decision-making in a world full of uncertainties. In the last part of the course, we will introduce a selection of topics and tools (modeling & simulation, value sensitive design, standards, ICT-architecture) which will help you to improve the adequacy of infrastructure systems and services, while dealing with the risks and vulnerabilities of infrastructure interdependencies. In our case studies, we will focus on topical developments and policies, such as sustainable energy transition (including smart grids), urbanization and its impact on infrastructures, the challenges of climate change and water scarcity, and the phenomenon of inverse infrastructure development (self-organization). If you are interested or involved in the functioning of today's and tomorrow's infrastructures, this course is an exceptional learning opportunity, whether you are a student or a professional. You will be interacting with peers all over the world and we will present a large number of case studies. The course is based on the results of an extensive and renowned international research programme titled 'Next Generation Infrastructures' (NGInfra).* This article was originally published here
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Japanese Culture and Language (II) |日语与日本文化（2）
In modern history of the development of China, Japan more than any country in the world, has made the largest influence on China. It cannot be underestimated that, the influence from Japan on China’s teenagers covers from their character formations, cultural identities, and even values. So observing the Japanese social life could help us looking back to ourselves. Re-understanding Japan and Japanese, can help Chinese distinguishing the most fundamental contradiction between China and Japan, which is the differences in "insular" and "mainland farming nation". It is more important to understand a national culture than to master its language. In this course, the introduction and analysis of Japanese culture and daily social lives are rubbed into more than ever.在中国近代史发展的进程中，日本超过世界上任何一个国家，成为了对中国影响最大的国家。日本文化对中国青少年的性格形成乃至文化认同感、价值观塑造方面所起到的影响不容小觑。从日本社会生活现象中学习并反观中国社会。重新认识日本国和日本人，从中日两国现代交往的种种矛盾现象中看清楚“岛国根性”与“大陆农耕民族”最根本的差异所在。对于一个国家的了解、与其交流或者认知，掌握这个国家、民族的文化甚至比单纯掌握这个国家的语言更为重要。在日语基础的学习过程中，比以往课堂教学更多地揉入对日本社会生活中的文化现象予以介绍和分析。* This article was originally published here
Sunday, November 17, 2019
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String Processing and Pattern Matching Algorithms
The world and internet are full of textual information. We search for information using textual queries and read websites, books and e-mails. These are all strings from a computer science point of view. To make sense of all this information and make search efficient, search engines use many string algorithms. Moreover, the emerging field of personalized medicine uses many search algorithms to find disease-causing mutations in the human genome. In this course, part of the Algorithms and Data Structures MicroMasters program, you will learn about: suffix trees; suffix arrays; how other brilliant algorithmic ideas help doctors to find differences between genomes; power lightning-fast Internet searches.* This article was originally published here
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Introduction to Data Wise: A Collaborative Process to Improve Learning & Teaching
Educators have an ever-increasing stream of data at their fingertips, but knowing how to use this data to improve learning and teaching — how to make it less overwhelming, more useful, and part of an effective collaborative process — can be challenging. Based on the book Data Wise: A Step-by-Step Guide to Using Assessment Results to Improve Teaching and Learning, this course describes a clear, 8-step process for using a wide range of data sources to improve instruction. You will see what this disciplined way of working with colleagues can look and feel like in a school setting. You will also have the opportunity to share insights and experiences about school improvement with educators from around the world. Introduction to Data Wise is open to all but is especially valuable for teachers and school and district leaders, as well as policymakers, and educational entrepreneurs who are dedicated to improving outcomes for students. There are several ways you could take this course: Participate on your own. Enroll with a few colleagues as part of a study group. Formally integrate it into professional development in your workplace. It is a self-paced course. You can go through the essential materials in a day or take several weeks to allow for reflection. There will be one month of active course facilitation, which will include discussion board moderation, office hours, and other live events. This course provides an introduction to a rich portfolio of books, resources, training, and support developed by the Data Wise Project at the Harvard Graduate School of Education. The Data Wise Project works in partnership with teachers and school and system leaders to develop and field-test resources that support collaborative school improvement. We encourage you to explore these resources as you chart a course for using data to improve learning and teaching for all students.* This article was originally published here
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