Courses
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Descriptions
EECS 395, 495: Readings in Database Systems

Quarter Offered

Spring : W 3-6 ; Rogers

Prerequisites

Required: EECS 339; Recommended: EECS 343

Description

In this seminar, we will survey the fundamentals of data science by reading state of the art research papers in this area.  This class will cover the basics of how to manipulate, integrate, and analyze data at scale. To receive credit, students must give in-class presentations and complete a final project.

  • This course fulfills the Systems Depth, Technical Elective requirement.

COURSE INSTRUCTOR: Prof. Jennie Rogers (Formerly Duggan)

Grading:

40% - final project
20% - class participation
30% - in-class presentation
10% - weekly write ups