UC3DRI10 Data Recovery and Advanced Imaging
UC3DRI10 Data Recovery and Advanced Imaging
- Course description
- NQF LevelBachelor's degree (Level 6 1. Cycle)
- Area of StudyComputing
- Program of StudyDigital Forensics and Incident Response
- ECTS10
- CampusKristiansand, OnlinePLUS - Bergen, OnlinePLUS - Oslo, Online
- Course LeaderEmlyn Butterfield
Language of Instruction and assessment: English
May be offered on Campus and Online.
May be offered as a separate course.
Included in the following bachelor's degrees:
- Digital Forensics and Incident Response
This course aims to explores data storage on various devices at both logical and physical levels, and the methods of data recovery. It provides knowledge on issues and problems that may arise during data recovery, data recovery methodologies, the process of data extraction from a variety of digital sources, and the concepts and usage of large-volume storage technologies. The course enhances skills in advising on data recovery methodologies, and identifying and collecting user data from large volume storage technologies. It also develops the competence to inform others about common storage device failure and the degree of difficulty in recovering material.
The student has knowledge of
| K1 | relevant issues and problems that might arise during the data recovery process. |
|---|---|
| K2 | data recovery methodologies, and when and how they should be applied. |
| K3 | the process and options for the extraction of data from a variety of digital sources – especially in terms of corrupted, damaged, and remote data. |
| K4 | the concepts and usage of large-volume storage technologies. |
The student gain skills in
| S1 | the use of concepts and techniques from the course to advise on data recovery methodologies and the likelihood of success. |
|---|---|
| S2 | the ability to identify and collect user data from large volume storage technologies. |
The student can demonstrate
| G1 | informing others about the type and nature of common storage device failure and the degree of difficulty in recovering material. |
|---|
- Data recovery techniques – physical and logical
- Data repair techniques
- Imaging techniques for damaged and remote devices
- Teaching will be based on a hybrid-flexible approach. Instructor-led face-to-face learning is combined with online learning in a flexible course structure that gives students the option of attending sessions in the classroom, participating online, or doing both.
- All activities require active student participation in their own learning.
- Learning delivery methods and available resources will be selected to ensure constructive alignment with course content, learning outcomes and assessment criteria.
- Students will be taught using a mixture of guidance, self-study, and lecture material. Topics will be introduced in a series of weekly lectures. The guidance sessions will be directed practical exercises and reading in which students can explore topics with support from a teacher. This material will also require students to self-manage their time to ensure tasks are completed and the theory is fully understood. This will allow the students to fully engage with lectures and with their peers.
- Learning resources are available in the LMS and include, but is not limited to:
- literature and online reading material (essential and recommended)
- streams, recordings and other digital resources, where applicable
- video conferencing and communication platforms, if applicable
- tools, software and libraries, where applicable
- Students must have access to an internet connection, and suitable hardware.
- Accessing live streams and virtual laboratories requires a minimum broadband connection of 2Mbps (4Mbps recommended).
- Students working on their own laptop/computer are required to acquire appropriate communications software, e.g., webcam, microphone, headphones.
UC2DFF10 Digital Forensics Fundamentals, or equivalent course(s).
The reading list for this course and any additional electronic resources will be provided in the LMS.
| Activity | Duration |
|---|---|
Teacher-led activity | 31 |
Teacher-supported work | 48 |
Self-study | 171 |