500

Comprehensive overview of hardware and software system concepts that are fundamental to contemporary information technology. Topics include: computer architecture, operating systems, networks, data management systems and applications.

No prerequisite. Introduction to programming concepts and techniques used in problem solving using a modern programming language. Students design, implement and test programs to solve problems in IT, business and science. Topics include I/O, expressions, types, variables, branching, loops, web programming, program planning and simple multimedia programming.

Prerequisites: A minimum grade of “B-” in IT 510 and CSIT 512 or concurrent enrollment or permission of the instructor. 

Current issues in the use of information technology (IT) and the exploration of trends such as Cloud computing and business intelligence. The primary purpose of this course is to provide a set of technical tools to understand the role of information technology in Cloud computing business intelligence. 

Prerequisites: CST 512 or BIFX 502 or MGMT 566; or permission of instructor.

This course examines techniques for discovering patterns in data. Topics will cover various data mining algorithms and statistical techniques, such as correlation analysis, text mining, decision trees, clustering, and association rules. The course will use data mining and analytical software to build on traditional statistical concepts. Project management techniques unique to exploratory projects will be used throughout the course. In addition to teaching students to organize, manipulate, and convert data into meaningful information for managerial decision-making, the course prepares them to effectively communicate such information with different stakeholders. In addition, students are expected to have competency in statistics.

Prerequisite: IT 514 or permission of the instructor. Review of procedures, tools and standards in systems engineering and integration. This course provides a detailed examination of the systematic application of proven procedures, tools and standards to information-oriented problems for the purpose of defining, designing, managing and implementing effective information technology solutions.

Prerequisites: CSIT/CYBR 555 or Permission of Instructor 

Concepts of information assurance and security risk assessment. Protecting the confidentiality, integrity, and availability of data and their delivery systems. Topics include security assessment definitions and nomenclature, approaches for risk assessment, high assurance system design and techniques for quantitative and qualitative risk analysis.

Prerequisites: A minimum grade of B- in IT 518 or MGMT 566 or BIFX 502 or CSIT 512, or Permission of Instructor

This class introduces the R programming language and advanced concepts and techniques to discover patterns in data. Students will explore datasets by identifying variables with the most predictive power, and developing and assessing predictive models in R. Discussion topics include exploratory data analysis, visualization, and data transformation. Students will implement the following data mining techniques: regression, neural networks, classification, clustering, principal component analysis, and survival analysis. Advanced techniques such as bagging, boosting, and random forests will also be explored. Significant time will be spent learning to program within an integrated development environment and implementing version tracking.

Prerequisite: IT 514 for CS/IT majors or MGMT 566 for MBA majors, or permission of the instructor. An examination and critical assessment of real-life management issues surrounding information systems in application environments. These issues involve the management of information, project management and information resources and systems within the organization.

Prerequisite: A minimum grade of "B-" in IT 510 and CSIT 512 or permission of the instructor. Not open to students who have completed CS 530. Overview of data management concepts. The course will explore the enterprise perspective of managing data needs of an organization. Topics include data integrity, database models, and integration of databases, security, and database administration issues. The student will be introduced to query processing within a database environment.

Prerequisites: CSIT/CYBR 555 or permission of the instructor. Theory and practice behind the analysis of computing and networking equipment to determine if systems and networks have been used for illegal, unauthorized or unusual activities.

Prerequisite: ITMG 527. This course investigates the process of managing a computer-related project. It includes scheduling techniques and automated tools such as scheduling packages. Focus will be on the team environment conducive to successful project completion.

Prerequisites: CSIT 555 or CYBR 555 and CSIT 548 or CYBR 548 or permission of the instructor. 

Examination of the pervasive security threats related to the Internet, data communications and networking. Real-time or near real-time capture of information and the systematic tracking of transmissions. Topics include network-borne threats, detection, prevention and analysis; authentication; malicious software and firewalls.

Prerequisite: CSIT/CYBR 555 or permission from instructor

Security issues from a managerial, legal and ethical standpoint.  Current legal obligations and limitations; linkage of security policy and practices with managerial operations and decision making. Topics include: security law, security policy making & implementation, policy practices & Acceptable Use Policies, and Litigation Avoidance.

Prerequisites: A minimum grade of B- in CSIT 555 or permission of the instructor. Introduction to cryptology, the science of making and breaking secret codes. Topics include encryption, cryptanalysis, public and secret key encryption, block ciphers and digital signatures. Classic and modern cryptography and encryption concepts will be introduced as tools and safeguards to be applied, implemented and evaluated in real-world scenarios.

Prerequisite: CSIT 512 or IT 514 (MS in IT students) or permission of the instructor. The role of human factors and psychology in usability; interaction and interface design issues; command languages, menus, error messages and response time physical interaction, I/O devices and interaction style and techniques; the design process and user models; interface evaluation; integration of user interfaces with software engineering.

Data communications, computer networks and open systems. In-depth review of basic terminology and concepts in telecommunication protocols, transmission techniques, network architecture alternatives, internetworking, circuit and packet switching and telecommunication solutions.

Prerequisites: CS 530 or IT 530 and either IT 548 or CS 553, or permission of the instructor. Technical, operational and managerial issues of computer systems. Threats to computer security including schemes for breaking security, and techniques for detecting and preventing security violations. Emphasis will be on instituting safeguards, examining types of security systems and applying the appropriate level of security for perceived risks.

Prerequisites: CS 519 and CS 530 or CSIT 512 and IT 530

This course examines advanced data management concepts and technologies. Topics include indexing structures, query processing, transaction management, data security, data warehousing, object-oriented extensions, XML, distributed data management, and recent advances and alternate architectures for Big Data management and processing.

Reading and/or research in a selected field. An approved title for the independent study must be submitted with the registration forms. Prerequisite: permission of the chair of the department. A maximum of 6 credits may be applied to a degree program.

Prerequisite: Permission of the instructor. The study of selected topics in information technology accomplished through readings, problem assignments and projects.

Reading and/or research in a selected field. An approved title for the independent study must be submitted with the registration forms. Prerequisite: permission of the chair of the department. A maximum of 6 credits may be applied to a degree program.

Supervision of the master’s thesis. Required of all degree candidates who select the thesis option.

Supervision of the master’s field work project. Required of all degree candidates who select the field work project option.

Prerequisite: Completion of 15 credits and permission of the instructor.

This course is designed to provide computer science and information technology professionals with a working knowledge and practical application of the topics covered in CS, IT and MIT courses. The students will apply current research and accepted practices of CS and IT field in a variety of professional settings and will perform work supervised by both a professional advisor and a Hood advisor. Based on the description for the external position, students will craft an appropriate research/professional plan, in consultation with his/her Hood advisor. This course will help students synthesize previous concepts and training as they transition to the role of a professional. This course counts as an elective toward degree completion.

Pre-requisite: Completion of 15 credits and permission of the instructor. This course is designed to provide computer science and information technology professionals with a working knowledge and practical application of the topics covered in IT and MIS courses. The students will apply current research and accepted practices of MIS/IT field in a variety of professional settings and will perform work supervised by both a professional advisor and a Hood advisor. Based on the description for the external position, students will craft an appropriate research/professional plan, in consultation with his/her Hood advisor. This course will help students synthesize previous concepts and training as they transition to the role of a professional. This 3-credit course counts as an elective toward degree completion.

A special topics course may be offered either within a single department or on an interdepartmental basis. The content and methods of such courses depend upon the interests of the faculty and students.