Engr Computational Tools

Catalog description

This course covers critical concepts, skills, and platforms related to scientific computing on high performance architectures. The principal objective is to enable use of high-performance computers to support data management applications for data analytics and automation. The course will leverage a wide range of computational tools and software platforms to support students’ proficiency in data-driven decision-making and process automation. By the end of this course, students will have the knowledge and hands-on experience to design and implement efficient algorithms for high performance computing, analyze the performance of codes via stochastic methods, FFTs, finite element and finite difference methods, and more, as a means to excel in data analytic roles and automation-driven projects.