Detailed Course Information

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ENSE 485 - Data Systems Engineering
The course focuses on big-data models for discovering knowledge. The course showcases big-data workflows, tools, algorithms and ecosystem and explains SQL and NoSQL databases. *Prerequisites: ENSE 374 and CS 340* Note: Students may not receive credit for both ENSE 496AF to ENSE 485 0.000 TO 3.000 Credit hours 0.000 TO 3.000 Lecture hours 0.000 TO 6.000 Lab hours 0.000 TO 6.000 Other hours Levels: Undergraduate Schedule Types: Lecture, Lab, Independent Study, Project, Seminar, Directed Reading, Examination *Software Systems Engineering Department Restrictions: Must be enrolled in one of the following Levels: Undergraduate Graduate

ENSE 485 - Data Systems Engineering

The course focuses on big-data models for discovering knowledge. The course showcases big-data workflows, tools, algorithms and ecosystem and explains SQL and NoSQL databases. ***Prerequisites: ENSE 374 and CS 340*** *Note: Students may not receive credit for both ENSE 496AF to ENSE 485*
0.000 TO 3.000 Credit hours
0.000 TO 3.000 Lecture hours
0.000 TO 6.000 Lab hours
0.000 TO 6.000 Other hours

Levels: Undergraduate
Schedule Types: Lecture, Lab, Independent Study, Project, Seminar, Directed Reading, Examination

*Software Systems Engineering Department

Restrictions:
Must be enrolled in one of the following Levels:
Undergraduate
Graduate

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Detailed Course Information

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