— Design & Optimization of Embedded Computing Systems
Introduction to design and optimization of digital computing systems for embedded applications. Topics include combinatorial optimization techniques, performance and energy optimization in embedded systems, compilation and architecture-specific mapping, programmable and reconfigurable platforms; design automation and algorithmic improvements to design process.
Topics
- combinatorial optimization techniques
- performance and energy optimization in embedded systems
- compilation and architecture-specific mapping
- programmable and reconfigurable platforms
- design automation and algorithmic improvements to design process
Topics explicitly listed in official catalogue description
Prerequisites & course information
Course Description: Introduction to design and optimization of digital computing systems for embedded applications. Topics include combinatorial optimization techniques, performance and energy optimization in embedded systems, compilation and architecture-specific mapping, programmable and reconfigurable platforms; design automation and algorithmic improvements to design process. Learning Activities: Lecture 4 hour(s). Grade Mode: Letter. Learning Activities: Lecture 4 hour(s). Grade Mode: Letter.
Sources
- Course catalogue ↗2026-2027