IMT6091 - Computational Forensics


Lessons are not given in the academic year 2024/2025

Course content

Forensic Imaging Signal and Video Processing Computer Visualization Forensic Statistics Information Retrieval Data Mining Pattern Recognition and Machine Learning Applications: Digital and Media Forensics, Crime Scene Investigation, Psychological and Behavioral Analysis, Questioned Document Examination, Forensic Linguistic, Speaker Identification, Tool Mark, Trace or Blood-strain Pattern Investigation.

Learning outcome


The course offers students a deeper understanding of cutting-edge problems in computational and forensic sciences as well as their applications.

Skills and general competence

Students will strengthen their ability to work with the original scientific literature. On completion of this course the students will be able to:

- Collect, analyze and discuss previously published research results in the field

- Identify, plan, prepare and conduct independent research in computational forensics

- Formulate specific requirements for a given problem and propose an appropriate solution

- Predict and judge the performance of proposed method.

The course addresses the following UN Sustainable Development Goal (SDG):

Goal 9, target 9.5 - Enhance scientific research, upgrade the technological capabilities of industrial sectors in all countries - studying the algorithms for computational intelligence with application to forensic science, the students improve their skills and competence in the research field of computational forensics including computer science, mathematics, statistics, etc. This contributes to taking the quality of research and development in their countries of origin to a higher level.

Learning methods and activities

Lectures Project work Face-to-face Meetings.

Mandatory activities to be announced in the beginning of the teaching semester.

Compulsory assignments

  • Coursework Requirement

Further on evaluation

Re-sit examination: The whole subject must be repeated.

Specific conditions

Admission to a programme of study is required:
Information Security and Communication Technology (PHISCT)

Course materials

Scientific Articles related to the field of Specialization.

More on the course



Version: 1
Credits:  5.0 SP
Study level: Doctoral degree level



Language of instruction: English

Location: Gjøvik

Subject area(s)
  • Informatics
Contact information

Department with academic responsibility
Department of Information Security and Communication Technology


  • * 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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