Spring 2025
> Engineering/Engineering Technology
> EECE.5540
> 031V
Course No: EECE.5540-031V; SIS Class Nbr: 13523; SIS Term: 3430
Course Status: Registration Pending
Course Description
This course deals with various topics in data-intensive computing to address challenges in managing large-scale data and methods for extracting values from big data. Specifically, we explore state-of-the-art techniques to build parallel systems and applications for scalable data analysis on a massive and complex dataset, those from scientific and engineering problems. Topics include: 1) Storage requirements of big data; 2) parallel and distributed computing systems in both high-performance computing (HPC) and commercial domains; 3) Data-parallel frameworks such as MapReduce/Hadoop/Spark; 4) parallel file systems such as HDFS/Lustre; 5) NoSQL data models such as Dynamo/BigTable/Cassandra; and 6) time-series data models such as InfluxDB/Prometheus.
Prerequisites, Notes & Instructor
- Prerequisites: EECE.4520 Microprocessor Systems II & Embedded Systems, or EECE.4811 Operating Systems, or EECE.4821 Computer Architecture & Design, or Permission of Instructor.
- Section Notes: HyFlex Course
- Core Codes: HYFX
- Credits: 3; Contact Hours: 3
- Instructor: Seung Son
-
UMass Lowell Bookstore
When Offered & Tuition
- W | 6:30 PM-9:20 PM ET Online
- 2025 Spring: Jan 21 to May 08
- Course Level: Graduate
-
Tuition: $2250
- Note: There is a $30 per semester registration fee for credit courses.
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