IN3190 – Digital Signal Processing

Schedule, syllabus and examination date

Choose semester

Changes in the course due to coronavirus

Autumn 2020 we plan for teaching and examinations to be conducted as described in the course description and on semester pages. However, changes may occur due to the corona situation. You will receive notifications about any changes at the semester page and/or in Canvas.

Spring 2020: Teaching and examinations was digitilized. See changes and common guidelines for exams at the MN faculty spring 2020.

Course content

Digital signal processing is a basis for the development of new methods in areas such as telecommunications (mobile telephony), multimedia (MP3), medicine (ultrasound), sonar, seismic, remote sensing and instrumentation. Signal processing can be defined as the mathematical tool used to analyze, model and perform operations on physical signals and their sources. The course is an introduction to basic methods such as sampling, filtering and frequency analysis.

Learning outcome

The aim of the course is to:

  • Learn to master the basic methods for processing of both analog and discrete/digital signals and systems.
  • Create a good theoretical understanding of the representation of signals in the time and frequency domain.
  • Understand how the theoretical concepts are used in important systems such as mobile phones, audio compression and imaging systems.
  • Get a good background for further studies in signal processing.

Special admission requirements

In addition to fulfilling the Higher Education Entrance Qualification, applicants have to meet the following special admission requirements:

  • Mathematics R1 or Mathematics (S1+S2)

The special admission requirements may also be covered by equivalent studies from Norwegian upper secondary school or by other equivalent studies. Read more about special admission requirements (in Norwegian).

The course is based on: IN1000 – Introduction to Object-oriented Programming/IN1900 – Introduction to Programming with Scientific Applications, MAT1110 – Calculus and Linear Algebra, MAT1120 – Linear Algebra (should be taken before or in parallel with this course).

Overlapping courses

Teaching

Four hours of lectures, two hours workshop and two hours exercise lectures per. week. Exercise lecture is part of the mandatory exercise plan and attendance is compulsory.

Students who can prove that they can not participate in the weekly exercises can, on application, follow a separate schedule. Mandatory assignments must be approved before taking the exam.

Examination

4 hours final written exam. The exercise plan must be approved to be allowed to take the exam.

It will also be counted as one of your three attempts to sit the exam for this course, if you sit the exam for one of the following courses: IN4190 – Digital Signal Processing, INF3470 – Digital signalbehandling (continued), INF4470 – Digital signalbehandling (continued), INF3440 – Signal processing (continued), INF4440 – Signal processing (continued)

Examination support material

No examination support material is allowed.

Language of examination

You may write your examination paper in Norwegian, Swedish, Danish or English.

Grading scale

Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. Read more about the grading system.

Resit an examination

Students who can document a valid reason for absence from the regular examination are offered a postponed examination at the beginning of the next semester. Re-scheduled examinations are not offered to students who withdraw during, or did not pass the original examination.

Special examination arrangements, use of sources, explanations and appeals

See more about examinations at UiO

Last updated from FS (Common Student System) Aug. 8, 2020 8:16:04 AM

Facts about this course

Credits
10
Level
Bachelor
Teaching
Autumn
Examination
Autumn
Teaching language
Norwegian