Kursussøgning, efter- og videreuddannelse – Københavns Universitet

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Kursussøgning, efter- og videreuddannelse

Advanced Topics in Image Analysis (ATIA)

Practical information
Study year 2016/2017
Time
Block 2
Programme level Full Degree Master
Ph.D.
ECTS 7,5 ECTS
Course responsible
  • Kim Steenstrup Pedersen (6-7472767c7d79496d7237747e376d74)
  • Department of Computer Science
Course number: NDAK15013U

Course content

The purpose of this course is to expose the student to selected advanced topics in image analysis. The course will bring the student up to a level sufficient for master thesis work within image analysis and computer vision.  Focus is not on specific topics, but rather on recent research trends.  Also, core elements of project work and thesis writing will be covered.

Learning outcome

Knowledge of

  • Selected advanced topics in image analysis

 

Skills to

  • Read, review and understand recent scientific papers.
  • Apply the knowledge obtained by reading scientific papers.
  • Compare methods from computer vision and image analysis and assess their potentials and shortcommings.
  • Plan and conduct small projects and experiments

 

Competences to

  • Understand advanced methods, and to transfer the gained knowledge to solutions to small problems.
  • Plan and carry out self-learning.  
  • Present the result of small projects in scientific writing.

Recommended prerequisites

You should have passed the courses "Machine Learning"/​“Statistical Methods for Machine Learning” and “Signal and Image Processing”, or similar.

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Studyboard

Study Board of Mathematics and Computer Science

Course type

Single subject courses (day)

Duration

1 block

Schedulegroup

B
---- SKEMA LINK ----

Teaching and learning methods

Lectures and project work.

Capacity

No limit

Language

English

Literature

See Absalon.

Workload

Category Hours
Lectures 14
Class Instruction 14
Preparation 90
Project work 88
English 206

Exam

Type of assessment

Written assignment, prepared throughout the course
Electronic submission of individual written project assignment.

Marking scale

7-point grading scale

Criteria for exam assessment

To obtain the grade 12 the student must be able to:

1.    Document understanding of the assignments including the relevant litterature and/or other materials needed for conducting the assignment.
2.    Document solutions to the assignment, including a discussion of the chosen alternatives.
3.    Document any experiments made and any drawn conclusion.

 

Censorship form

No external censorship
Several internal examiners

Re-exam

Resubmission of written project assignment.

Mere information om kurset
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