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Duke University - Java Programming: Arrays, Lists, and Structured Data; Duke University - Data Science Math Skills; Massachusetts Institute of Technology - Introduction to Computer Science and Programming Using Python 6.00.1x; Massachusetts Institute of Technology - Introduction to Computational Thinking and Data Science 6.00.2x As such, computational thinking is essential not only to the Computer Science discipline, it can also be used to support problem solving across all disciplines,including math, science, engineering, business, finance and humanities. According to the Information and Communications Technology Council (ICTC), Digital Literacy is the ability to locate, organize, understand, evaluate, and create information using digital technology for a knowledge-based society (2012, p. 4). An introduction to computational thinking that traces a genealogy beginning centuries before the digital computer. Author: Roland Mittermeir Publisher: Springer Science & Business Media ISBN: 3540699236 Size: 68.94 MB Format: PDF, Kindle View: 5144 Get Books. The computational concepts of parallelism and events and the computational practices of reusing and remixing are highlighted. Informatics Education Supporting Computational Thinking eBook File: Computational-thinking.PDF Book by Roland Mittermeir, Informatics Education Supporting Computational Thinking Books available in PDF, EPUB, Mobi Format. Core courses cover mathematical foundations of data science, programming, algorithms, and databases as well as statistical methods for data science. This course is aimed at students with some prior programming experience in Python and a rudimentary knowledge of computational complexity. In particular, for the use of high performance computers for computational fluid dynamics, aeroacoustics, and To download and subscribe to Introduction to Computational Thinking and Data Science by John Guttag, get iTunes now. 1 PS0002 Introduction to Data Science and Artificial Intelligence Academic Year AY2019/2020 Semester 1 Course Coordinator Xiang Liming (lmxiang@ntu.edu.sg) Course Code PS0002 Course Title Introduction to Data Science and Artificial Intelligence Pre -requisites PS0001 Introduction to Computational Thinking No of AUs 3 Contact Hours Lecture: 26, Lab&tutorial: 23 technology and data-rich environment. This course is aimed at students with some prior programming experience in Python and a rudimentary knowledge of computational complexity. MITx: 6.00.2x Introduction to Computational Thinking and Data Science. iTunes is the world's easiest way to organize and add to your digital media collection. Calendar Introduction to Computational Thinking and Data Science. 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