CSC-683 Cloud Computing and Machine Learning (3)

Managing, processing, and analyzing large, real-world datasets is a common challenge across many fields. This course introduces practical tools and techniques for working with data at scale, including data processing pipelines, scalable analytics, and distributed computing concepts. Students learn how to design efficient solutions for data-intensive problems using modern Python-based frameworks and hands-on labs that can extend from local environments to cloud-based data platforms. The course emphasizes practical skills through examples and projects. Crosslist: CSC-483. Note: Knowledge of object-oriented programming in Python required.