Training Students to Extract Value from Big Data Summary of a Workshop (2015) / Chapter Skim
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4 Courses, Curricula, and Interdisciplinary Programs
4 Courses, Curricula, and Interdisciplinary Programs
Pages 22-30
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From page 22... ...
• Boot camps and other short courses appear to be successful in teach ing data computing techniques to domain scientists and in addressing a need in the science community; however, outstanding questions remain about how to integrate these types of classes into a traditional educational curriculum. (Joshua Bloom)
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Recently, "boot camps" that include two or three intensive training sessions have been initiated to teach students basic tools and common frameworks. The boot camp at Berkeley takes 3 full days.
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Bloom also noted that data science tends to be an inclusive environment that appeals to underrepresented groups. For instance, one-third of the students in the Python boot camps were women -- a larger fraction than their representation in physical science graduate programs.
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DATA SCIENCE AND ANALYTICS CURRICULUM DEVELOPMENT AT RENSSELAER (AND THE TETHERLESS WORLD CONSTELLATION) Peter Fox, Rensselaer Polytechnic Institute Peter Fox began by describing the Tetherless World Constellation5 at Rensselaer Polytechnic Institute (RPI)
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Fox ex plained that, in contrast with most generational plots, all generations are present and active at once in both the learning and teaching environment and the science and research environment. Fox explained that data analytics is a new course at RPI, and his desired pre requisites are not taught at the university; as a result, his class has no prerequisites.
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offering.7 The program has four technical tracks -- computer engineering, computer science, 6 RStudio is an open source, professional user interface for R See the RStudio website at http:// www.rstudio.com/, accessed September 20, 2014.
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He listed some lessons learned after 5 years with these programs: • Be interdisciplinary from the start; grow both technical and data skills simultaneously. Fox noted that teaching skills (such as how to manipulate data by using specific programming languages)
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Sloan Foundation to advance new data science techniques and technologies, foster collaboration, and create a cross-campus "data science environment." According to Howe, the strategy is to establish a "virtuous cycle" between the data science methodology researchers and the domain-science researchers in which innovation in one field will drive innovation in the other. The eScience Institute works to create and reinforce connections between the two sides, and six working groups act as bridges.
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Howe replied that computer science enrollment is increasing at the under graduate level by about 20 percent per year, and statistics departments are also seeing increased enrollment. Students understand that they need to understand the core concepts at the undergraduate level.
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