Schedule, syllabus and examination date

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Teaching and exams spring 2022

In light of the most recent infection control regulations, we will at the start of the spring semester 2022 increase our online teaching, while we at the same time try to maintain in-person teaching where this is possible. We hope to go back to more in-person teaching later on in the semester. You will be informed about any changes in teaching or examinations on the semester page, in Canvas or through your regular channels.

Read more about postponed exams for the autumn semester 2021.

Course content

The course gives an introduction to Radar Remote Sensing. You will learn about electromagnetic wave propagation and interaction with natural materials, like surface and volume scattering models. You will also acquire a basic understanding of Synthetic Aperture Imaging and Radar Interferometry together with applications. Experience using empirical models and radar imaging will be obtained through exercises.

Learning outcome

After completing the course, you will have

  • an understanding of electromagnetic wave propagation and how electromagnetic waves interact with natural materials
  • know the dielectric properties of natural materials
  • understand basic scattering models for land and sea
  • understand different radar imaging geometries and processing
  • have basic knowledge of radar remote sensing applications

Admission to the course

Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.

Nordic citizens and applicants residing in the Nordic countries may apply to take this course as a single course student.

If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures for international applicants.

The course presupposes an understanding of basic calculations with complex numbers, simple Fourier analysis and probability calculations. Exercises use python or matlab for calculation and plotting. Courses that give useful background information but that are not necessary in order to take the course are: MAT1100 – CalculusMAT1110 – Calculus and Linear Algebra, MAT-INF1100 – Modelling and Computations, INF1100 – Introduction to programming with scientific applications (continued), FYS1120 – Electromagnetism.

Overlapping courses

Teaching

2 hours of lectures and 1 hour of calculations per week. Distribution between lectures and calculations may vary throughout the course.

One mandatory assignment must be approved before the student can sit the exam. 

The course lectures are given at the Department of Technology Systems in Kjeller Research Park. See the schedule for the student bus from Campus Blindern.

Examination

  • A final oral exam counts 100% towards the final grade.
  • In the case of a high number of students, written exams may be held.
  • One mandatory assignment must be approved in order for the student to sit the exam.

It will also be counted as 1 of the 3 attempts to sit the exam for this course, if you sit the exam for one of the following courses:

Examination support material

No examination support material is allowed.

Language of examination

Courses taught in English will only offer the exam paper in English. 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) Jan. 28, 2022 7:18:43 AM

Facts about this course

Credits
10
Level
Master
Teaching
Spring
Examination
Spring
Teaching language
Norwegian (English on request)