Signal/databehandlende systemer

2018/2019

Modulets indhold, forløb og pædagogik

Læringsmål

Viden

  • must have knowledge about compression of one and two dimensional signal/data representations
  • must have knowledge about classical and Baysian statistical methods for processing of noisy signals
  • must have knowledge about simulation techniques and in particular about Markov chain and Monte Carlo methods
  • must have knowledge about how sparse representations and statistical techniques influences real-world data/signals

Færdigheder

  • must be able to use Baysian and hierarchical statistical methods to analyse time series and lattice data and to evaluate the validity of the results obtained
  • must be able to use compressed signal/data representations on real or synthetic data and be able to evaluate the quality of the signal/data reconstruction

Kompetencer

  • are able to communicate results of statistical analyses to non-specialists within advanced signal processing
  • are able to independently develop statistical models suitable for analysis of real-world signals such as noisy digital images or communication signals
  • are able to use sparse representations and/or statistical methods to solve a given practical problem and, if needed, make minor adjustments to the methods to obtain the wanted functionality

Undervisningsform

Projektarbejde.



Omfang og forventet arbejdsindsats

Kursusmodulets omfang er 15 ECTS svarende til 450 timers studieindsats.

Eksamen

Prøver

Prøvens navnSignal/databehandlende systemer
Prøveform
Mundtlig pba. projekt
ECTS15
Bedømmelsesform7-trins-skala
CensurEkstern prøve
VurderingskriterierSom angivet i Fællesbestemmelser for uddannelser (Vurderingskriterier).
http:/​/​www.engineering.aau.dk/​uddannelse/​Studieadministration/​

Fakta om modulet

Engelsk titelSignal/Data Processing Systems
ModulkodeF-MTK-K2-1
ModultypeProjekt
Varighed1 semester
SemesterForår
ECTS15
TompladsJa
UndervisningsstedCampus Aalborg
Modulansvarlig
CensornormB

Organisation

StudienævnStudienævnet for Matematik, Fysik og Nanoteknologi
FakultetDet Ingeniør- og Naturvidenskabelige Fakultet
SkoleSkolen for Ingeniør- og Naturvidenskab