SCM.264 Database Analysis for Supply Chain Management
Introduces databases, data analysis, and information technology fundamentals for supply chain management. Covers database topics such as data modeling, relational databases, data extraction and SQL. Introduces data analysis tools for visualization, regression, supervised and unsupervised classification, which includes principal components and clustering analysis. Provides instruction on information technology topics such as software development process, UML, XML, service-oriented architectures, security and telecommunications. Term project includes implementation of data modeling, data visualization and data analysis techniques.
This class has no prerequisites.
SCM.264 will be offered this semester (Fall 2017). It is instructed by C. Cassa.
Lecture occurs 12:30 PM to 2:30 PM on Tuesdays and Thursdays in E52-164.
This class counts for a total of 12 credits.
You can find more information at the http://www.google.com/search?&q=MIT+%2B+SCM.264&btnG=Google+Search&inurl=https site or on the SCM.264 Stellar site.
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