course-details-portlet

TDT4270

Statistical Image Analysis and Learning

Credits 7.5
Level Second degree level
Course start Autumn 2010
Duration 1 semester
Examination arrangement Portfolio assessment

About

About the course

Course content

Markov field models for image enhancement, segmentation, edge detection, reconstruction from projections and nervous systems. Image recognition using neural networks. Random numer generators and simulated annealing. Examples from medical image diagnosis and neuro-modelling.

Learning outcome

To acquire basic knowledge in image processing and learning in neural networks.

Learning methods and activities

Lectures and exercises. Portfolio assessment is the basis for the grade in the course. The portfolio includes a final written exam (75%) and two exercises (25%). The results for the parts are given in %-scores, while the entire portfolio is assigned a letter grade. If there is a re-sit examination, the examination form may change from written to oral.

Compulsory assignments

  • Exercises

Course materials

Compendium.

Credit reductions

Course code Reduction From
SIF8068 7.5 sp
This course has academic overlap with the course in the table above. If you take overlapping courses, you will receive a credit reduction in the course where you have the lowest grade. If the grades are the same, the reduction will be applied to the course completed most recently.

Subject areas

  • Informatics
  • Technological subjects

Contact information

Department with academic responsibility

Department of Computer Science

Examination

Examination

Examination arrangement: Portfolio assessment
Grade: Letters

Ordinary examination - Autumn 2010

Skriftlig eksamen
Weighting 75/100 Date 2010-12-04 Time 09:00 Duration 4 timer Place and room Not specified yet.
Arbeider
Weighting 25/100

All about examinations at NTNU