Entry requirements and weighting
|Prerequisites:||BN203 Overview of Network Security|
|Credit Points:||20 credit points|
|Level:||Year 2, Elective|
Timetabled hours/week: 5 (Lecture = 2 hours, Tute/Lab = 2 hours, PBL = 1 hour)
Personal study hours/week: 15
This is a sixth trimester elective unit out of a total of 24 units in the Bachelor of Networking (BNet). This unit addresses the BNet course learning outcomes and complements other courses in a related field by developing students’ specialised knowledge in computer forensics and applying critical skills such as Data Acquisition, Processing Crime Scenes and Analysing & Validation of forensics data and forensics ethics. For further course information refer to: http://www.mit.edu.au/study-with-us/programs/bachelor-networking.
This unit provides students with understanding and appreciation of the discipline of Computer Forensics. They will also learn how Computer Forensics interacts with other organisational groups, especially with general management and with forensics groups.
This unit will cover the following areas:
- Introduction to Computer Forensics
- Understanding Computer Investigations
- Data Acquisition
- Processing Crime and Incident Scenes
- Computer Forensics Tools
- Computer Forensics Analysis and Validation
- Cell Phone and Mobile Devices Forensics
- Report Writing for High-Tech Investigations
- Expert Testimony and Ethics
At the completion of this unit students should be able to:
- Follow computer forensics investigative procedures
- Systematically collect evidence at private-sector incident scenes.
- Document computer forensics evidence.
- Report on computer forensics findings.
- Implement a number of methodologies for validating and testing computer forensics tools and evidence.
- Understand the cross-examination of a legal process.
- Exhibit and understand forensics ethical behaviour and professional conduct
- Implement a process to support the administration and management of computer forensics
- Conduct practical investigations into Computer Forensics including industry and legally procedures of data acquisitions with Virtual Machines, RAM dump and mobile devices.
MIT is committed to ensure the course is current, practical and relevant so that graduates are “work ready” and equipped for life-long learning. In order to accomplish this, the MIT Graduate Attributes identify the required knowledge, skills and attributes that prepare students for the industry.
The level to which Graduate Attributes covered in this unit are as follows:
|Ability to communicate||Independent and Lifelong Learning||Ethics||Analytical and Problem Solving||Cultural and Global Awareness||Team work||Specialist knowledge of a field of study|
|The standard is covered by theory and practice, and addressed by assessed activities in which the students always play an active role, e.g. workshops, lab submissions, assignments, demonstrations, tests, examinations|
|The standard is covered by theory or practice, and addressed by assessed activities in which the students mostly play an active role, e.g. discussions, reading, intepreting documents, tests, examinations|
|The standard is discussed in theory or practice; it is addressed by assessed activities in which the students may play an active role, e.g. lectures and discussions, reading, interpretation, workshops, presentations|
|The standard is presented as a side issue in theory or practice; it is not specifically assessed, but it is addressed by activities such as lectures or tutorials|
|The standard is not considered, there is no theory or practice or activities associated with this standard|