Expected learning outcomes
- Understanding of cutting-edge problems in computational and forensic sciences as well as their applications.
- 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.
- The students can work independently and are familiar with computational forensic terminology.
Signal and Video Processing,
Forensic Statistics and Intelligence,
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.
Teaching Methods (additional text)
Annet - Face-to-Face Meetings Assignments.
The course will be made accessible for both campus and remote students. Every student is free to choose the pedagogic arrangement form that is best fitted for her/his own requirement. The lectures in the course will be given on campus and are open for both categories of students. All the lectures will also be available on Internet through GUC’s learning management system (ClassFronter).
Form(s) of Assessment
Evaluation of Project(s)
Alphabetical Scale, A(best) – F (fail)
Internal examiner. An external examiner will be used every 4th year. Next time in the school-year 2013/2014.
The whole subject must be repeated.
Scientific Articles related to the field of Specialization.
In case there will be less than 5 students that will apply for the course, it will be at the discretion of Studieprogramansvarlig whether the course will be offered or not an if yes, in which form.