EPN-V2

ACIT4710 Digital Signal and Image Processing Course description

Course name in Norwegian
Digital Signal and Image Processing
Study programme
Master's Programme in Applied Computer and Information Technology
Weight
10.0 ECTS
Year of study
2021/2022
Course history

Introduction

Dette emnet er en komplett løsning for å lære og utvikle Enterprise-applikasjoner, og er delt inn i to deler, "Programvarearkitektur" og "Rammeverk".

"Rammeverk"-delen fokuserer på å lære Enterprise-orientert programutvikling gjennom programmering i populære rammeverk som Spring MVC, Spring Boot, Hibernate/JPA (for databasekobling), Spring ROO (for rask prototypeutvikling), XML og JSON (for datautveksling) og Amazon EC2 (for installasjon i skyen og testing av programvare).

"Programvarearkitektur"-delen omfatter ulike arkitektoniske desingmønstere (klient-server, distribuert, webarkitektur også videre). Den dekker også hvordan man skal ta en ide og dele den opp i forretningskrav og fremstille dette gjennom arkitektoniske diagrammer. Denne delen av emnet viser hvordan en solid arkitektur danner ryggraden i en applikasjon.

Recommended preliminary courses

Javaprogrammering.

Required preliminary courses

Ingen utover opptakskrav.

Learning outcomes

Etter å ha gjennomført dette emnet har studenten følgende læringsutbytte, definert i kunnskap, ferdigheter og generell kompetanse:

Kunnskap

Studenten:

  • har en generell kjennskap til et bredt utvalg av ulike programvarearkitekturer og rammeverk
  • forstår kost/nytte verdien av å benytte programvarearkitekturer og rammeverk i store programsystemer.

Ferdigheter

Studenten kan:

  • anvende rammeverk som Spring MVC, Spring Roo, Spring Boot, Hibernate/JPA, XML/JSON og Amazon EC2 (til deployment)
  • klient-tjener arkitekturer, web-rammeverk og objekt-relasjonsmapping (ORM)
  • utarbeide dokumentasjon for rammeverk og arkitekturer
  • arbeide med prosjekter og arbeidsoppgaver, både selvstendig og i team

Generell kompetanse

Studenten:

  • kjenner til teknikker og teorier som fremmer god kvalitet i programsystemer
  • er bevisst viktigheten av rammeverk og arkitekturer i store programsystemer

Content

This course will contain the following topics:

  • Sampling, reconstruction and aliasing
  • Impulse response and difference equations
  • Fourier series and Fourier transform
  • Frequency analysis and frequency response
  • Transfer functions, filter design of FIR and IIR filters
  • Image presentation and processing

Teaching and learning methods

Lectures.

Exercises

Computer exercises.

Course requirements

None

Assessment

Exam autumn 2021 due to Covid-19:

Individual digital home exam, 3 hours and 30 min to upload/scan.

The exam grade can be appealed.

;New/postponed exam

In case of failed exam or legal absence, the student may apply for a new or postponed exam. New or postponed exams are offered within a reasonable time span following the regular exam. The student is responsible for applying for a new/postponed exam within the time limits set by OsloMet. The Regulations for new or postponed examinations are available in Regulations relating to studies and examinations at OsloMet.

In the event of a postponed examination in this course the exam may be held as an oral exam. Oral exams cannot be appealed.

[Exam earlier:]

Individual written exam, 3 hours.

The exam grade can be appealed.

;

New/postponed exam

In case of failed exam or legal absence, the student may apply for a new or postponed exam. New or postponed exams are offered within a reasonable time span following the regular exam. The student is responsible for applying for a new/postponed exam within the time limits set by OsloMet. The Regulations for new or postponed examinations are available in Regulations relating to studies and examinations at OsloMet.

In the event of a postponed examination in this course the exam may be held as an oral exam. Oral exams cannot be appealed.

Permitted exam materials and equipment

All written material, but no communication will be allowed.

Grading scale

For the final assessment a grading scale from A to E is used, where A denotes the highest and E the lowest pass grade, and F denotes a fail.

Examiners

Gradert skala A-F.

Course contact person

To interne sensorer. Ekstern sensor brukes jevnlig.