STT 470 - Applied High Performance Computing (HPC) for Statistical Learning

Introduction to the foundational principles and techniques of high-performance computing (HPC) and its applications with statistical learning using large-scale real-world data. Includes parallel architectures, distributed computing, big data frameworks, and practical techniques essential for analyzing massive real-world applications.

Prerequisite Courses: STT 450
Course Repeatability: Course may not be repeated.