COURSE DESCRIPTIONS
COMP 610 Internship in Computer Science (1-4 cr. hrs.)
Prerequisite(s): Admittance into the Computer Science graduate program.
This course provides MSCS students the opportunity to further their education with relevant work experience in the field of Computer Science. This internship is an ongoing seminar between the student, faculty and the employment supervisor. It involves a Learning Contract (Curricular Practical Training [CPT] Information, or other), periodic meetings with the faculty representative, and professional experience at a level equivalent to other electives of the MSCS program. Specification of the materials to be submitted is established in the learning contract. Participation cannot be guaranteed for all applicants.
COMP 620 Analysis of Algorithms (4 cr. hrs.)
Prerequisite(s): Object-Oriented Data Structures & Algorithms II (COMP 311).
This course covers various algorithm design paradigms, mathematical analysis of algorithms, empirical analysis of algorithms and NP-completeness.
COMP 630 Issues in Database Management (4 cr. hrs.)
Prerequisite(s): Database Management Systems (COMP 281 or COMP/ITEC/MIS 380) and Communication Strategies for the Technical Professional (COMP 660).
This course focuses on the fundamental design considerations in designing a database. Specific topics include performance analysis of design alternatives, system configuration and the administration of a popular database system. The course also offers an in-depth analysis of the algorithms and machine organizations of database systems.
COMP 645 Topics in Software Development (4 cr. hrs.)
Prerequisite(s): None.
This course surveys current practices in software development and software design, especially in the area of object-oriented design. The course will examine and contrast current and leading edge methodologies and practices, including agile, extreme programming, test-driven design, patterns, aspect-oriented programming, model-driven architecture, Unified Modeling Language, and integrated development environments.
COMP 650 System Architecture and Engineering (4 cr. hrs.)
Prerequisite(s): Communication Strategies for the Technical Professional (COMP 660) or permission of the Program Chair.
This course covers topics in software systems engineering. Its scope is the design of the overall architecture for software systems with emphasis on distributed architectures. The issues in an architecture centered software development cycle and project management are addressed.
COMP 655 Operating/Distributed Systems (4 cr. hrs.)
Prerequisite(s): Issues in Database Management (COMP 630) and System Architecture and Engineering (COMP 650).
This course covers the concepts and design of distributed computing systems and distributed application programming. Topics include: the basic concepts of distributed systems (e.g., transparency, heterogeneity, network process communication), CORBA and related OMG technologies, and front-end development tools.
COMP 660 Communication Strategies for the Technical Professional (4 cr. hrs.)
Prerequisite(s): None.
This course focuses on the problems, principles and techniques of communicating technical and scientific information. Types of communication addressed include: proposals, reports and manuals. The course uses a case-study approach to give students both the theoretical foundations and hands-on practice they need to work effectively in heterogeneous corporate groups.
COMP 665 Project Management of Information Systems (4 cr. hrs.)
Prerequisite(s): Admission into the graduate program or permission of the instructor.
This course examines various issues related to the management of information systems. Topics include: strategic planning, organizing the technology resources, means of prioritizing and selecting information technology, staffing, personnel management, and assessment.
COMP 670 Application of Artificial Intelligence (4 cr. hrs.)
Prerequisite(s): Admission into the graduate program or permission of the instructor.
This course focuses on the use of artificial intelligence tools and techniques in industry. Topics include cognitive psychology topics, foundation material (e.g., search algorithms, knowledge representation and AI languages) and tools (e.g., expert systems, natural language interfaces and neural networks).
COMP 671 Verification and Testing (4 cr. hrs.)
Prerequisite(s): Communication Strategies for the Technical Professional (COMP 660).
This course focuses on the issues of delivering high quality software, especially in large complex systems. Topics covered include testing strategies (black box, white box, regression, etc.), unit testing, system integration, system verification and support tools. It also will reinforce the need for requirements that are testable and traceable from the early design stages.
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