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.

Credit Hours: 3

Prerequisite Courses: STT450, or DSC301 and any introductory statistics course (STT 215 or STT 210 or STT 301 or PSY 225 or BAN 280), or Instructor Approval.
Course Repeatability: Course may not be repeated.