Tools and Techniques of Computational Science
Advanced introduction to the practical use of high performance computing hardware and software engineering principles for scientific technical computing. Topics include computer architectures, operating systems, programming languages, data structures, interoperability, and software development, management, and performance. Three lecture hours a week for one semester.
Topics
- computer architectures
- operating systems
- programming languages
- data structures
- interoperability
- and software development
- management
- and performance
Topics explicitly listed in official catalogue description
Prerequisites & course information
Advanced introduction to the practical use of high performance computing hardware and software engineering principles for scientific technical computing. Topics include computer architectures, operating systems, programming languages, data structures, interoperability, and software development, management, and performance. Three lecture hours a week for one semester.
Sources
- Course catalogue ↗2026-2027