course-details-portlet

TDT4230

Graphics and Visualization

Credits 7.5
Level Second degree level
Course start Spring 2023
Duration 1 semester
Language of instruction English
Location Trondheim
Examination arrangement Aggregate score

About

About the course

Course content

Geometric models and their simplification. Modeling with parametric curves and surfaces. Geometry culling. Illumination models and ambient occlusion in 3D and in screen space. Texture mapping. Ray tracing. Animation techniques. Shadow generation. Visualization principles. Visualization algorithms. Virtual and augmented reality. Special topics. For more information see also: https://www.idi.ntnu.no/grupper/vis/teaching/ as well as Blackboard.

Learning outcome

Knowledge: The candidate will acquire knowledge of more advanced graphics and visualization principles and algorithms. Skills: The candidate will enhance his/her skills in graphics and visualization programming through practical assignments. General competence: The candidate will gain in-depth understanding of more advanced principles and algorithms in computer graphics and visualization, will realise the potential use of the above and possess the basis for performing research or pursuing commercial applications in the field.

Learning methods and activities

Lectures and exercises. Lectures and examination will be held in English. Students are free to choose Norwegian or English for written assessments. The exam will be digital.

Further on evaluation

Assessment includes a final written exam (50%) and work(portfolio)(50%). If there is a re-sit examination, the examination form may change from written to oral.

Course materials

To be announced at start of semester.

Credit reductions

Course code Reduction From
SIF8052 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

Course coordinator

Lecturers

Department with academic responsibility

Department of Computer Science

Examination

Examination

Examination arrangement: Aggregate score
Grade: Letter grades

Ordinary examination - Spring 2023

School exam
Weighting 50/100 Examination aids Code D Date 2023-05-30 Time 15:00 Duration 3 hours Exam system Inspera Assessment Place and room Not specified yet.
Assignment
Weighting 50/100 Date Submission 2023-04-17 Time Submission 14:00

Re-sit examination - Summer 2023

School exam
Weighting 50/100 Examination aids Code D Duration 3 hours Exam system Inspera Assessment Place and room Not specified yet.