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- sta-141c - big-data-and-high-performance-statistical-computing
University of California-Davis Course Info
Davis, California•
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Course Info
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STA 141C
Big Data & High Performance Statistical Computing
High-performance computing in high-level data analysis languages; different computational approaches and paradigms for efficient analysis of big data; interfaces to compiled languages; R and Python programming languages; high-level parallel computing; MapReduce; parallel algorithms and reasoning.
Units: 4.0
Hours: Lecture—3 hour(s); Discussion—1 hour(s).
Prerequisites:
ECS 032A - Introduction to Programming
Min Grade: C
Min Grade: C
or
ECS 010 - Introduction to Programming
Min Grade: C
Min Grade: C
and
STA 141A - Fundamentals of Statistical Data Science
Min Grade: C
Min Grade: C
or
STA 141B - Data & Web Technologies for Data Analysis
Min Grade: C
Min Grade: C