Data Driven Systems Design and Optimization

Catalog description

Focusing on data-centric development and optimization, this course explores the design, implementation, and enhancement of intelligent systems through advanced data modeling, process automation, and performance engineering. Students will engage in applied research on database architecture, data transformation pipelines, and system optimization strategies. Course activities will include real-world problem-solving, where learners design scalable systems, optimize workflows, and construct processes that align with enterprise-level goals. Emphasis is placed on data-informed decision-making and the application of emerging technologies to streamline operations in cloud and hybrid computing environments.