TDT4195 - Visual Computing Fundamentals


Examination arrangement

Examination arrangement: Portfolio assessment
Grade: Letters

Evaluation Weighting Duration Grade deviation Examination aids
Work 30/100 1 weeks
School exam 70/100 4 hours D

Course content

Half of the course is concerned with image syntesis (computer graphics) and half of the course is on image analysis (image processing).


Graphics: graphical primitives, rasterization, anti-aliasing, clipping, geometric transformations, viewing transformations, hierarchical scene modelling, culling and hidden surface elimination, colour representation, illumination models and algorithms. C/C++ OpenGL labs.


Image processing: introduction to and examples of image processing and simple image analysis applications. Intro to deep learning based image interpretation and understanding (fully-connected neural networks and CNNs). Filtering and image enhancement in both the spatial domain as well as in the frequency / Fourier domain. Various image segmentation methods and mathematical morphology. Labs with assignments and Python (alternatively MATLAB).


For more information see also:

as well as Blackboard.

Learning outcome

Knowledge: The candidate will acquire knowledge of basic image synthesis and image analysis principles and algorithms.


Skills: The candidate will acquire skills in graphics and image processing programming with commonly used tools.

General competence: The candidate will gain competence in realising the potential of basic graphics and image processing techniques, an overview of visual computing, the ability to construct sizeable visual computing applications as well as to absorb further visual computing knowledge.

Learning methods and activities

Lectures and exercises. The lectures will be in English. The exam will be in English.

Further on evaluation

Portfolio assessment is the basis for the grade in the course. The portfolio includes a final written exam (70%) and a coursework (30%). 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.

In the case that the student receives an F/Fail as a final grade after both ordinary and re-sit exam, then the student must retake the course in its entirety. Submitted work that counts towards the final grade will also have to be retaken.

Course materials

To be announced at start of semester.

Credit reductions

Course code Reduction From To
SIF8043 7.5

Version: 1
Credits:  7.5 SP
Study level: Third-year courses, level III


Term no.: 1
Teaching semester:  AUTUMN 2021

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Informatics
  • Technological subjects
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Computer Science


Examination arrangement: Portfolio assessment

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD Work 30/100
Room Building Number of candidates
Autumn ORD School exam 70/100 D 2021-12-02 15:00 INSPERA
Room Building Number of candidates
SL311 grønn sone Sluppenvegen 14 60
SL321 Sluppenvegen 14 2
SL238 Sluppenvegen 14 2
SL515 Sluppenvegen 14 4
SL311 orange sone Sluppenvegen 14 58
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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