Course Outline

Data gathering and recovery in computer systems often involves a process of search and discovery of data. The process of search and discovery involves the analysis of data storage and communication systems. The analysis of data storage includes the retrieve of the deleted data in computer systems and constructs evidences of past actions.

Good backup and recovery strategies are key to the health of any organization. Designing realistic recovery solutions is very important. Medium- to very-large-scale systems administrators have to protect large amounts of critical data as well as design backup solutions that are scalable and optimized to meet changing conditions. The main of this course focuses on the implementation of 21st century architectures that provides the framework for meeting the requirements of data protection for the organization.

Continuous data protection and remote replication strategies are also addressed as they are integrated within backup strategies.

On successful completion of this course students should be able to:

• Describe the elements of a backup environment and applications of those elements
• Discuss new technologies within the backup technology area and their impact on design
• Identify combinations of both hardware and software configurations that are scalable from small to large environments
• Discuss designs that address physical and virtual backup environments
• Describe new media technologies
• Report requirements that will assist in maintaining application backup strategies
• Identify sample backup environments

• The course has three hours of lectures in a week mainly held in the form of a seminar.
• There is no lab works or tutorials.

• There will be one written midterm exam and one written final exam.
• There is an individual term project.
• You should find a recent conference/journal paper (published in the last 5 years) related to Data Backup and Recovery in Computer Systems.
• The selected paper should be sent as an e-mail to husnu.bayramoglu@emu.edu.tr and wait for the confirmation.
• Once the topic is confirmed, you can start studying the topic and prepare a written report.
• The printed report should be submitted before the announced deadline.
• Late submissions will not be accepted.
• Project grade is out of 20%.
• The report should be between 3500-4000 words with the format provided in the report template on the web site.
• Turnitin plagiarism test must be obtained before submission.
• The plagiarism test result should be less than 20%.
• No reports will be accepted for consideration with higher plagiarism test result.
• An account will be created for you to make the plagiarism test through Turnitin.
• The work done for the project should be presented.
• The duration will be about 15 minutes for each student.
• Presentation grade is out of 10%.
• Class attendance is compulsory.

• Course related materials will be posted on the course web site.

Text Book:

Steven Nelson, Pro Data Backup and Recovery-Expert's Voice in Data Management, Apress, 2011, ISBN-13: 978-1430226628

• Each student can have only one make-up exam. One who misses an exam should provide a medical report within 3 days after the missed exam.
• The make-up exam will be organized at the end of the term after the finals and will cover all the topics.
• No make-up exam will be given for any quiz or assignment.
• Once the grades are announced, the students have only one week to do objection about their grades.
• It is the students' responsibility to follow the announcement in the course web site.
• Students who do not pass the course and fail to attend the lectures regularly may be given NG grade.