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UC3REC05 Data Recovery

UC3REC05 Data Recovery

  • Course description
    • NQF Level
      Bachelor's degree (Level 6 1. Cycle)
    • Area of Study
      Computing
    • Program of Study
      Digital Forensics
    • ECTS
      05
    • Campus
      Kristiansand, OnlinePLUS - Oslo, Online
    • Course Leader
      Iain Sutherland
Introduction

anguage 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
Course Aim(s)

This course aims to provide students with knowledge and skills in relation to data recovery from storage media.

Course Learning Outcomes
Knowledge

The student has knowledge of

K1 define and explain the components of storage media.
K2 explain relevant issues and problems that might arise during the data recovery process.
Skills

The student gain skills in

S1 diagnose possible faults in select storage media.
S2 use concepts and techniques from the course to advise on data recovery methodologies and the likelihood of success.
General Competence

The student can demonstrate

G1 inform others about the type and nature of common storage device failure and the degree of difficulty in recovering material.
Course Topics
  • Storage Media Technologies
  • Logical Failure / Corruption of Data or Data Storage Structures / Metadata
  • Typical Firmware Failures
  • Typical Hardware Failures
  • Data Recovery Tools
  • Data Recovery / Repair Techniques
Teaching Methods
  1. 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.
  2. All activities require active student participation in their own learning.
  3. Learning delivery methods and available resources will be selected to ensure constructive alignment with course content, learning outcomes and assessment criteria.
  4. 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.
Resources and Equipment
  1. 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
  2. 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).
  3. Students working on their own laptop/computer are required to acquire appropriate communications software, e.g., webcam, microphone, headphones.
Prerequisite Knowledge

UC2FSA10 File System Analysis, or equivalent course(s).

Reading List

The reading list for this course and any additional electronic resources will be provided in the LMS.

Study Workload

125 nominal hours.
Study workload applies to both Campus and Online students.

ActivityDuration
Teacher-led activity
12 Hour(s)
Teacher-supported work
24 Hour(s)
Self-study
78 Hour(s)
Work Requirements

There are no mandatory assignments in this course.

Assessment Strategy

This course has one (1) exam contributing towards the overall and final grade of the course.

The exam must be assessed as passed to receive the final Course Grade.

Form of assessmentGrading scaleGroupingDuration of assessment
Term Paper
A-F