15-649 Seminar Data Systems

12–31 units, Carnegie Mellon University

This course series is designed for and exclusively used by the Systems track of the Masters in Computational Data Science. Most students in this program will take section A, Seminar 1, in their first semester, section B, Seminar 2, in their second semester and section C, Capstone, in their third and final semester. As a series this is equivalent to a 48 unit capstone, spread out over the entire masters program. The sequence will emphasize learning from state of the art technical talks at the beginning, evolving into recently written paper reading and multipaper survey reporting, and end with a large project and project report. The theme of all sections is large scale systems for big data processing, highly available distributed systems, data mining and machine learning, and broadly, data science.

Prerequisites: none listed

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