Computational Forensics

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.

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.

Lectures Project work Face-to-face Meetings. Mandatory activities to be announced in the beginning of the teaching semester.