Expected learning outcomes
The course offers students a deeper understanding of cutting-edge problems in computational and forensic sciences as well as their applications. 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.
- 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.
Teaching Methods (additional text)
Form(s) of Assessment
Evaluation of Project(s)
Form(s) of Assessment (additional text)
Alphabetical Scale, A(best) – F (fail)
Evaluated by the lecturer(s)
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.