Our Courses

Visual computing laboratory logo

The Visual Computing Laboratory is responsible for the Visual Computing direction in the masters program. Our courses are an integral part of several educational programs at NTNU. Our core courses are: Visual Computing Fundamentals, Graphics and Visualization, and Computer Vision and Deep Learning. We also lead specialized theory modules in the topics: Visual Intelligence, Extended Reality and Advanced Topics in Visual Computing. Additionally we have the "Experts in Teamwork" track on Digital Twins. Read more about our courses below.

Our Courses

TDT4195

Visual Computing Fundamentals

Half of the course is concerned with image syntesis (computer graphics) and half of the course is on image analysis (image processing)
TDT4265

Computer Vision and Deep Learning

Computer vision techniques build the basis for an automatic understanding and interpretation of digital images that today can be recorded with a multitude of different imaging devices.
TDT4230

Graphics and Visualization

Geometric models and their simplification. Modeling with parametric curves and surfaces. Geometry culling. Illumination models and ambient occlusion in 3D and in screen space.

Schlumberger Prize in Visual Computing

  • 2025 Visual Computing Schlumberger Prize Winners

    Picture of the 2025 Visual Computing Schlumberger Prize Winners

    The 2025 Visual Computing Schlumberger Prize was awarded to:

    Nicolai Hollup Brand
    Trygve Eriksen
    Jørgen Fjermedal
    Lena Nilsson
    Herman Østenby

  • 2024 Visual Computing Schlumberger Prize Winners

    Picture of the 2024 Visual Computing Schlumberger Prize Winners

     

    The 2024 Visual Computing Schlumberger Prize was awarded to:

    Vetle Roos  Mangrud
    Marine  Dessirier
    Anton   Park

  • 2023 Visual Computing Schlumberger Prize Winners

    Picture of the 2023 Visual Computing Schlumberger Prize Winners

    The 2023 Visual Computing Schlumberger Prize was awarded to:

    Armin Bodingbauer

    Stella Lukasser

  • 2022 Visual Computing Schlumberger Prize Winner

    Picture of the 2022 Visual Computing Schlumberger Prize Winners

     

    The 2022 Visual Computing Schlumberger Prize was awarded to:

    Thomas Borge Skøien

  • 2021 Visual Computing Schlumberger Prize Winners

    Picture of the 2021 Visual Computing Schlumberger Prize Winners

     

    The 2021 Visual Computing Schlumberger Prize was awarded to:

    Simen Holmestad

    Mathias Knutsen

  • 2020 Visual Computing Schlumberger Prize Winners

     

    The 2020 Visual Computing Schlumberger Prize was awarded to:

    Steffen Björn Frei

    Aleksander Knutsen

    Erling Syversveen Lie

    Ole-Magnus Pedersen

  • 2019 Visual Computing Schlumberger Prize Winner



    The 2019 Visual Computing Schlumberger Prize was awarded to:

    Thomas Aven

  • 2018 Visual Computing Schlumberger Prize Winners

    The 2018 Visual Computing Schlumberger Prize was shared by:

    Håkon Flatval

    Trym Tengesdal

    Håkon Thorstensen

  • 2017 Visual Computing Schlumberger Prize Winners

     

    The 2017 Visual Computing Schlumberger Prize was shared by:

    Ulrich Johan Isachsen

    Kristoffer Nesland

  • 2016 Visual Computing Schlumberger Prize Winners

    The 2016 Visual Computing Schlumberger Prize was shared by:

    Øivind Fossan

    Øyvind Kjerland

Student Projects TDT4230

  • TDT4230 Student Project Demonstration, Class of 2021

  • TDT4230 Student Project Demonstration, Class of 2020

  • TDT4230 Student Project Demonstration, Class of 2019

  • TDT4230 Student Project Demonstration, Class of 2019

Other Courses

Other Courses

TDT17

Visual Intelligence

TDT16

Extended Reality

TDT03

Advanced Topics in Visual Computing

DT8123

Advanced Computing (Doctoral degree level)

TDT4860

Experts in Teamwork - Digital Twins

Graphics & Visualization - Principles and Algorithms

Graphics & Visualization book cover

Graphics & Visualization - Principles and Algorithms

Graphics & Visualization: Principles and Algorithms is a comprehensive visual computing textbook, dealing with the modeling and synthesis of visual data by means of computers. The book is aimed at undergraduate and graduate students taking computer graphics and visualization courses.
 
Read more about the book here.