— Big Data & High Performance Statistical Computing

Prerequisites & course information

Course Description: 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. Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Grade Mode: Letter. Learning Activities: Lecture 3 hour(s), Discussion 1 hour(s). Grade Mode: Letter.