SCM.264 Databases and Data Analysis for Supply Chain Management
Introduces databases, data analysis, and machine learning topics. Covers data modeling, relational databases, SQL queries, data mining, non-relational databases, and data warehouses. Introduces data analysis tools for visualization, regression, supervised and unsupervised techniques including principal component analysis and clustering. Term project includes implementation of data model, database, visualization and data analysis. SCM.274 meets with SCM.264 but requires fewer assignments and lectures.
This class has no prerequisites.
SCM.264 will be offered this semester (Fall 2019). It is instructed by C. Cassa.
Lecture occurs 2:30 PM to 4:30 PM on Tuesdays and Thursdays in E51-085.
This class counts for a total of 6 credits.
You can find more information at the MIT - Supply Chain Management site.
© Copyright 2015 Yasyf Mohamedali