Course - Computational Forensics - IMT4210
IMT4210 - Computational Forensics
About
Lessons are not given in the academic year 2016/2017
Course content
Deepening of knowledge and skills in computer-assisted digital investigations and forensics using specific methods to realistic case scenarios. Methods may include yet are not limited to:
Forensic Statistics
Forensics Data Science
Pattern Recognition
Machine Learning
Predictive Analytics
Information Retrieval
Data Mining
Signal and Video Processing
Computer Visualization
A selection of possible case scenarios will be made available at the beginning of the course.
Learning outcome
Knowledge:
Understanding of cutting-edge problems in computational and forensic sciences as well as their applications specific domains, as for example threat intelligence, automation of malware analysis, biometric identification, network intrusion detection, internet investigation, deep-package mining and multimedia-content analysis in forensics.
Skills:
The students can use relevant scientific methods in independent research and development in computational forensics.
The students are capable of carrying out an independent limited research or development project in computational forensics under supervision, following the applicable ethical rules.
General competence:
The students can work independently and are familiar with computational forensic terminology.
Learning methods and activities
Forelesninger|Nettstøttet læring|PBL (Problem Basert Læring)|Prosjektarbeid|Samling(er)/seminar(er)|Veiledning
Further on evaluation
Utfyllende om kontinuasjon:
The whole course must be repeated the next time the course is running.
Vurderingsformer:
The students have to deliver an essay and can deliver a project.
In case a student decides to deliver both the essay and the project, then both will count for 50% towards the final grade and both parts have to be passed to pass the course.
In case the student only delivers an essay then the final grade will be based 100% on the grade of the essay
Specific conditions
Admission to a programme of study is required:
Information Security (MIS)
Information Security (MISD)
Course materials
Scientific Articles related to the field of Specialization.
Credit reductions
Course code | Reduction | From | To |
---|---|---|---|
IMT4641 | 5.0 |
No
Version: 1
Credits:
7.5 SP
Study level: Second degree level
No
Language of instruction: English
-
- Information Security
Department with academic responsibility
Department of Information Security and Communication Technology
Examination
- * 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"