Course Descriptions and Schedule

Please note that course schedules may be amended due to low enrollment, faculty availability, and/or other factors.

MSDS 442-DL : Real-­Time Stream Processing and Analytics


Description

This course introduces application engineering and analytics within stream and event processing environments. Data feeds or sources include monitoring of continuous processes through electronic sensors, observing channels of communication and social interaction, and tracking goods through production lines and distribution channels. The course reviews stream-­-processing systems designed to provide high throughput and low latency. It introduces data models and algorithms for analyzing event logs and understanding business processes. Special attention is given to applications in operations support, logistics, and supply chain management. This is a case study and project-­-based course with a strong programming component, including work with relational and graph databases.

Prerequisites: (1) MSDS 420-­-DL Database Systems and Data Preparation or CIS 417 Database Systems Design and Implementation and (2) MSDS 422-­-DL Practical Machine Learning or CIS 435 Practical Data Science Using Machine Learning.


Spring 2021
Start/End DatesDay(s)TimeBuildingSection
03/29/21 - 06/06/21Optional Sync W
7 – 9:30 p.m. 55
InstructorCourse LocationStatusCAESAR Course ID
Bader, Atef
Online
Open
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