Temple University 3 credits ISE
This course is an introduction to data analytics and visualization with applications in industrial and systems engineering. The course covers an introduction to fundamental terminology and concepts related to engineering data analytics, how to ask the right questions, and other analytical skills needed to make effective, data-driven engineering decisions. The course will solve engineering problems faced in modern industrial settings and cover software skills like spreadsheet basics/standard query language (SQL) basics, Python and/or R programming for data analysis and programming. Engineering applications in areas such as manufacturing, logistics and healthcare will be used. In addition, the relationship between data analytics and data science will be discussed by having a brief introduction to predictive modeling using Python/R and its role in engineering applications.
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