Reconfigurable and Low Energy Systems
2023/2024
Content, progress and pedagogy of the module
Learning objectives
Knowledge
The students must have knowledge about:
- Representation of Digital Signal Processing (DSP) algorithms
- Cost functions, models of computation and complexity
- Iteration bounds
- Pipelining and retiming
- Folding and unfolding
- Scheduling and allocation
- Data path, control path, Finite State Machine with Data path (FSMD)
- Functional unit arithmetic
- Low power design methods
Skills
The students must be able to:
- Apply advanced terms, concepts, and methods, in the context of time-, area-, or energy optimal/constrained mapping of DSP algorithms onto real-time HW/SW architectures.
Competences
The students must be able to:
- Apply the proper terminology in oral and written communication and documentation within the scientific domains of DSP algorithms, and application specific HW/SW architectures
Type of instruction
Types of instruction are listed in ยง17; Structure and contents of the programme.
Exam
Exams
| Name of exam | Reconfigurable and Low Energy Systems |
| Type of exam | Written or oral exam |
| ECTS | 5 |
| Assessment | Passed/Not Passed |
| Type of grading | Internal examination |
| Criteria of assessment | The criteria of assessment are stated in the Examination Policies and Procedures |
Facts about the module
| Danish title | Rekonfigurerbare systemer og energi-minimale systemer |
| Module code | ESNCTK2K4 |
| Module type | Course |
| Duration | 1 semester |
| Semester | Spring
|
| ECTS | 5 |
| Language of instruction | English |
| Empty-place Scheme | Yes |
| Location of the lecture | Campus Aalborg |
| Responsible for the module |
Organisation
| Education owner | Master of Science (MSc) in Engineering (Communication Technology) |
| Study Board | Study Board of Electronics and IT |
| Department | Department of Electronic Systems |
| Faculty | The Technical Faculty of IT and Design |
