Course - Computational Forensics - IMT6091
IMT6091 - Computational Forensics
About
Examination arrangement
Examination arrangement: Project Work
Grade: Passed / Not Passed
| Evaluation | Weighting | Duration | Grade deviation | Examination aids |
|---|---|---|---|---|
| Project Work | 100/100 | ALLE |
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
Knowledge
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
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.
No
Version: 1
Credits:
5.0 SP
Study level: Doctoral degree level
Term no.: 1
Teaching semester: AUTUMN 2023
Language of instruction: English
Location: Gjøvik
- Informatics
Department with academic responsibility
Department of Information Security and Communication Technology
Examination
Examination arrangement: Project Work
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
-
Autumn
ORD
Project Work
100/100
ALLE
Submission
2023-12-20
INSPERA
14:00 -
Room Building Number of candidates
- * 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"