Active Course List

Extensive coverage of SQL, database programming, large scale data modeling, and database enhancement through reverse engineering. This course also covers theoretical concepts of query processing, and optimization, basic understanding of concurrency control and recovery, and database security and integrity in centralized/distributed environments. Team-oriented projects in a heterogeneous client server environment.

Areas of Interest:

Health Science

Programs:

Data Science (MS) | Database Technology (GC) | Health Informatics & Analytics (PSM)

This course provides science and study of methods of protecting data, and designing disaster recovery strategy. Secure database design, data integrity, secure architectures, secure transaction processing, information flow controls, inference controls, and auditing. Security models for relational and object-oriented databases. Pre: With permission by instructor.

Areas of Interest:

Health Science

The course explores big data in structured and unstructured data sources. Emphasis is placed on big data strategies, techniques and evaluation methods. Various data analytics are covered. Students experiment with big data through big data analytics, data mining, and data warehousing tools.

Areas of Interest:

Health Science

Programs:

Data Science (MS) | Health Informatics & Analytics (PSM) | Modeling and Simulation (GC)

The course includes information warfare principles and technologies. The key areas are: Information warfare concepts; Protocols, Authentication, and Encryption; Network attach techniques, methodologies, and tools; Network defense; Malware: trojans, worms, viruses, and malicious code; Electronic crimes and digital evidence. Pre: With permission by the instructor.

Areas of Interest:

Health Science

Advanced coverage of data communication, networking and security protocols. Topics include: data transmission methods, error detection and recovery, flow control, routing, data throughput, security issues, and performance analysis of existing and emerging protocols for secure communication between the many points within a computer network and across the internet. Pre: With permission by the instructor.

Areas of Interest:

Health Science

Network and server systems administration include: domain administration; file system management; networked printers; user management; and workstation configuration. Network programming experience will be gained through programming assignments/projects in Layered Software Systems, HTTP Server, UDP (TFTP or DNS), CGI program, IPV6, RPC/SCTP. Pre: With permission by the instructor.

Areas of Interest:

Health Science

This course provides an understanding of existing and emerging mobile and wireless data networks, with an emphasis on digital data communications. Students will gain an understanding of the unique considerations that must be given to network protocols for wireless and mobile communication as well as their applications. Pre: With permission by the instructor.

Areas of Interest:

Health Science

This course is designed to give students the skills required to write applications for mobile devices (smartphones and tablets). Topics to be covered include interacting with the UI, using an emulator/simulator, application lifecycle, moving from one screen to another, services, alarms, broadcast receivers, maps API, location based programs, gps, persistence, hardware sensors, and web applications.

Areas of Interest:

Health Science

Topics include software quality assurance, software quality metrics, software configuration management, software verification and validation, reviews, inspections, and software process improvement models, functional and structural testing models.

Areas of Interest:

Health Science

This course discusses concepts and techniques for design, development and evaluation of user interfaces. Students will learn the principles of interaction design, interaction styles, user-centered design, usability evaluation, input/output devices, design and analysis of controlled experiments and principles of perception and cognition used in building efficient and effective interfaces. Group project work.

Areas of Interest:

Health Science

Programs:

Modeling and Simulation (GC)

HTTP Protocol; Presentation abstractions; Web-markup languages; Client-side programming; Server-side programming; Web services; Web servers; Emerging technologies; Security; Standards & Standard Bodies; Techniques for web interface design; User-centered design; Visual development environments and development tools; Measure the effectiveness of interface design. Pre: With permission by the instructor.

Areas of Interest:

Health Science

An introduction to all important aspects of software engineering. The emphasis is on principles of software engineering including project planning, requirements gathering, size and cost estimation, analysis, design, coding, testing, implementation, and maintenance. Group project work.

Areas of Interest:

Health Science

This course is designed to give students the skills required to design and develop video games. The primary focus of the course is on mobile game development, game design principles and user-centered design methodologies. A play-centric approach to game design and development will be studied, discussed and applied in the production of a game demo.

Areas of Interest:

Health Science

Special topics not covered in other courses. May be repeated for credit on each new topic.

Areas of Interest:

Health Science

Research methodology in general and in computer science. Data and research sources. Analysis of existing research. Preliminary planning and proposals. Conceptualization, design, and interpretation of research. Good reporting. Same as CS 600. Pre-req: An elementary statistics course.

Areas of Interest:

Health Science

Programs:

Data Science (MS) | Information Technology (MS)

Special topics in computer science research not covered in other courses. May be repeated for credit on each new topic.

Areas of Interest:

Health Science

Students attend seminar presentations and present a research topic at one of the seminars. Same as CS 602. Pre-req: consent

Areas of Interest:

Health Science

This course is a continuation of Artificial Intelligence (IT 530). Emphasis is placed on advanced topics and the major areas of current research within the field. Theoretical and practical issues involved with developing large-scale systems are covered. Same as CS 630. Pre-req: IT 530

Prerequisites:

CIS 518

Areas of Interest:

Health Science

Programs:

Data Science (MS)

The design of large-scale, knowledge¿based data mining. Emphasis on concepts and application of machine learning using big data. Examination of knowledge representation techniques and problem¿solving methods used to design knowledge¿based systems. Pre-req: instructor permission required

Prerequisites:

CIS 518

Areas of Interest:

Health Science

Programs:

Data Science (MS)

In-depth study of advanced topics such as object-oriented databases, intelligent database systems, parallel databases, database mining and warehousing, distributed database design and query processing, multi-database integration and interoperability, and multilevel secure systems.

Areas of Interest:

Health Science

Programs:

Data Science (MS) | Database Technology (GC)

In this course, students will design and implement distributed big data architecture. The architecture consists integration of homogenous and heterogeneous databases and other structured and unstructured data sources. Students will apply concepts of distributed recovery and optimization, and other related topics.

Areas of Interest:

Health Science

Programs:

Data Science (MS) | Database Technology (GC) | Health Informatics & Analytics (PSM)

Content covered will include the following: scientific process; sampling bias; hypothesis tests; confidence intervals; risk analysis vs assessment; statistical analysis concepts. Issues with qualitative and quantitative risk analysis methodologies. Exposure to and practice with multiple risk analysis methodologies, including at least one that is considered a standard.

Areas of Interest:

Health Science

Programs:

Cyber Risk Analysis (GC)

This course examines the organizational leadership structure and competencies of healthcare and/or IT organizations, the governance planning process, financial management, ethical and legal decision-making, privacy, and data-based best practices that balance organizational and regulatory requirements with feasible cost-effective solutions.

Areas of Interest:

Health Science

Programs:

Health Informatics & Analytics (PSM)

Content covered will include the following: analyze audience; define report outline and objectives for target audience (IT, executives, audit & compliance); ethos/pathos/logos concepts; white papers. Data misrepresentations, intentional or unintentional; appropriate use of data visualization tools and dashboards; representing needle in haystack data (low volume, high risk).

Areas of Interest:

Health Science

Programs:

Cyber Risk Analysis (GC) | Data Science (MS)

Risk management strategies. Human factors, resistance to change. Design, development and evaluation of security controls; catalog of security controls; performance metrics. Management oversight; cost-benefit analysis, business impact analysis; policies, processes, standards. Technical, administrative, physical controls.

Areas of Interest:

Health Science

Programs:

Cyber Risk Analysis (GC)