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. Students learn how to work with various data feeds and sources, including electronic sensors, monitoring continuous processes, observing communication traffic and social interaction, and tracking goods through production and distribution. Students implement stream processing solutions, providing high throughput and low latency. They use relational and graph databases. They analyze event logs and business processes. This is a case study and project-based course with a strong programming component.

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 2023
Start/End DatesDay(s)TimeBuildingSection
03/27/23 - 06/10/23Optional Sync Sa
1 – 3:30 p.m. 55
InstructorCourse LocationStatusCAESAR Course ID
Bader, Atef
Online
Open
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