DSC 43C8
Big Data
Baylor University · UGRD · Fall 2026
1 section1 open now
Catalog description
Prerequisite(s): C or better in DSC 3310 or concurrent enrollment; C or better in DSC 4310. This course investigates how the data parallel paradigm can be extended to the distributed case, using modern big data tools. Parallel programming models will be investigated in detail. Key issues related to distribution, like latency and network communication will be considered and how they can be addressed effectively for improved performance.
Sections
Current meeting, instructor, credit, and enrollment details
01
2 openSeats: 23/25 seats Last recorded: Aug 9, 2026, 6:34 AMClass #47379Fall 2026UGRD3 credits
2 available23 enrolled25 capacity0 waitlist
- Days & times
- MW 0230PM-0345PM
- Meeting dates
- Aug 24 – Dec 9
- Location
- CASHN C202
- Instructor
- Henry Han
Details checked 4 hours agoSeats checked 4 hours ago
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