IT dept

Digital forensics is a branch of forensic science that focuses on identifying, acquiring, processing, analyzing, and reporting on data stored electronically. The main goal of digital forensics is to extract data from the electronic evidence, process it into actionable intelligence and present the findings for prosecution. All processes utilize sound forensic techniques to ensure the findings are admissible especially in court. The course will help learn how to recover, analyze, and preserve computer and related materials in such a manner that it helps the investigation agency to present them as evidence in a court of law.

Data mining has emerged as one of the most exciting fields in Computer Science because of the growth of computerized data collections, which become more and more available in our modern digitalized world. Data mining have roots in the fields of artificial intelligence, machine learning (including classification, prediction, and clustering), statistical data analysis, data visualization and information retrieval. By completion of this course, students learn about different data mining methods such as classification, rule-based learning, decision trees and association rules. Students also learn about data selection and cleaning, machine learning techniques to “learn” about the “hidden” patterns in data, and the reporting and visualization of the resulting knowledge.