This course focuses on the fundamental incident response and computer forensics procedures for computer systems. Students will follow the forensics procedures and use forensically-sound tools to uncover the activities of computer users (deleted and hidden files, cryptographic steganography, illegal software, etc.). Students will also technologies to gather and preserve this evidence to ensure admissibility in court.

This course provides students with the latest techniques and methods needed for extracting, preserving and analyzing volatile and nonvolatile information from digital devices. Students will gain exposure to the spectrum of available computer forensics tools along with developing their own tools for “special need” situations. The core forensics procedures necessary for ensuring the admissibility of evidence in court, as well as the legal and ethical implications of the process, will be covered on both Unix and Windows platforms, under multiple file systems. Therefore, students must possess a knowledge of available filesystems on both platforms.

This course is one of the capstone options in the MS in Computing Security program. It offers students the opportunity to investigate a selected topic and make an original contribution which extends knowledge within the computing security domain. Students must submit an acceptable proposal to a thesis committee (chair, reader, and observer) before they may be registered by the department for the MS Thesis. Students must defend their work in an open thesis defense and complete a written report of their work before a pass/fail grade is awarded. As part of their original work, students are expected to write and submit an article for publication in a peer reviewed journal or conference.

A presentation of the fundamental concepts and theories used in organizing and structuring data. Coverage includes the data modeling process, basic relational model, normalization theory, relational algebra, and mapping a data model into a database schema. Structured Query Language is used to illustrate the translation of a data model to physical data organization. Modeling and programming assignments will be required. Note: students should have one course in object-oriented programming.

In this course, students will build applications that interact with databases. Through programming exercises, students will work with multiple databases and programmatically invoke the advanced database processing operations that are integral to contemporary computing applications. Topics include the database drivers, the data layer, connectivity operations, security and integrity, and controlling database access.

Rapidly expanding volumes of data from all areas of society are becoming available in digital form. High value information and knowledge is embedded in many of these data volumes. Unlocking this information can provide many benefits, and may also raise ethical questions in certain circumstances. This course provides students with a hands-on introduction to how interactive data exploration and data mining software can be used for data-driven knowledge discovery, including domains such as business, environmental management, healthcare, finance, and transportation. Data mining techniques and their application to large data sets will be discussed in detail, including classification, clustering, association rule mining, and anomaly detection. In addition, students will learn the importance of applying data visualization practices to facilitate exploratory data analysis.

Students perform paid, professional work related to their program of study. Students work full-time during the term they are registered for co-op. Students must complete a student co-op work report for each term they are registered; students also are evaluated each term by their employer. A satisfactory grade is given for co-op when both a completed student co-op report and a corresponding employer report that indicates satisfactory student performance are received.

To be successful in our globally-networked business environment, contemporary management professionals must have a strong grounding in the principles of information and information technology. This course provides an introduction to the field of management information systems (MIS), including the tools and techniques for managing information and information technologies within organizations. We place a particular emphasis on the nature of systems, the role of information in business processes, the management of data, and the planning of MIS design projects.

This course gives students both a conceptual and hands-on understanding of the launching of web businesses. Students will study the full process of web business creation, including domain name registration, frameworks for application creation, hosting of web applications and search engine optimization. Students will apply their knowledge by designing and building a business website that can actually make money.

The thinking within modern cities has changed dramatically in the past decade with the emergence of information and communication technologies (ICT). Previously, the existence of useful infrastructure was considered to be a beneficial but not essential factor in influencing development. Presently, a modern, flexible infrastructure is considered to be a requirement for any modern city. Its absence is a sign of underdevelopment. This course presents current and future ICT development along with techno-economic deployment scenarios and provides breadth in understanding the limits and potential of information and communication technologies. This course is only offered at RIT Dubai campus.