Reconfigurable and Low Energy Systems

2023/2024

Content, progress and pedagogy of the module

Learning objectives

Knowledge

  • 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

  • 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 student 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

As described in ยง 17.

Exam

Exams

Name of examReconfigurable and Low Energy Systems
Type of exam
Written or oral exam
ECTS5
AssessmentPassed/Not Passed
Type of gradingInternal examination
Criteria of assessmentThe criteria of assessment are stated in the Examination Policies and Procedures

Facts about the module

Danish titleRekonfigurerbare systemer og energi-minimale systemer
Module codeESNSPAK2K1
Module typeCourse
Duration1 semester
SemesterSpring
ECTS5
Language of instructionEnglish
Empty-place SchemeYes
Location of the lectureCampus Aalborg
Responsible for the module

Organisation

Education ownerMaster of Science (MSc) in Engineering (Signal Processing and Acoustics)
Study BoardStudy Board of Electronics and IT
DepartmentDepartment of Electronic Systems
FacultyThe Technical Faculty of IT and Design