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Health Data Science is an area that combines scientific inquiry, statistical knowledge, substantive expertise, and computer programming in the area of healthcare and biomedicine. Students are introduced to fundamental data analytic tools and techniques, and learn how to use specialized software to analyze real-world health data.
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Depletion of traditional fuel stores has been accompanied by increasing pollution levels. Consequently, motivations to lower carbon-emissions have elevated. To ensure change is achieved on a global scale a multinational agreement was confirmed in 2015 at the Paris climate conference whereby 195 countries agreed a legally binding global climate deal, the first of its kind. Advancements in the field of electrochemical engineering and the infrastructure that will subsequently facilitate such changes are essential in order to reduce dependencies upon traditional carbon-intensive technologies. For instance, battery technology for use in automotive applications will require a robust charging network in order to prevent energy shortages and power blackouts. This course provides insight into each stage of this process, from the chemistry and manufacture of new materials to the organization of the grid and the redesigning of our metropolitan infrastructure.
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