Return to Computer Science | Courses Index
[1] Graduate Courses in Computer Science (CSCI)
5V75 INTERNSHIP (Variable credit, 1-6 credit hours.) An elective course for graduate students in the Applied Computing program. The student enrolled in this course will engage in work related to computer science for an industry, business, or government entity for at least 10 hours per week for a semester. May be repeated for credit with a change in internship responsibilities.
5V97 SPECIAL TOPICS (Variable credit: 1-3 credit hours.) This course will address a focused topic, particularly recent development, in the field of applied computing. Topics will vary from semester to semester. This course may be repeated for credit with the prior approval of the graduate advisor. Prerequisite: consent of instructor.
5300 OPERATING SYSTEMS Introduction to operating systems, historical development, serial batch systems, multiprogramming systems, time-sharing systems, real-time systems, control programs, job control language, job management, task management, data management, interrupt handling, and concepts of telecommunication. Prerequisite: CSCI 2440 Assembly Language and Computer Organization and CSCI 3330 Algorithms or consent of instructor.
5305 LINUX/UNIX SYSTEMS An elective course for upper level Computer Science majors. Topics include Linux operating environment and architecture, command line Linux utilities, application development under Linux, virtualization, building and using libraries, POSIX threads programming, synchronization and semaphores, shared memory programming, advanced file handling, regular expressions, shells and shell scripting in various languages. Prerequisite: CSCI 2320 Data Structures.
5315聽INFORMATION SECURITY This course introduces the basic concepts, principles, and the state-of-the-art technologies in the realm of computer/network security and information assurance. It introduces topics ranging from cryptographic techniques to trusted systems to multilevel security to network security to ethics in the computing profession. Students will learn fundamental concepts of security that can be applied to many traditional aspects of computer programming and computer system design. Prerequisite: CSCI 2320 Data Structures or consent of instructor.
5353 MULTIMEDIA COMPUTING This course covers the concepts, principles, and state-of-the-art technologies related to multimedia computing, including graphics, audio, image, video, animation, text, etc. Topics will include multimedia information capture, digitization, compression, network communication, and practical applications. Prerequisite: Consent of instructor.
5357 PROGRAMMING MOBILE DEVICES An elective course for Computer Science majors. This course covers the development of applications for network-enabled mobile devices. Topics include: memory management, custom user interface development, event handling, animation using 2-D/3-D graphics, audio and video application programming, and data storage/persistence. Prerequisite: CSCI 3381 Object-Oriented Software Development with Java or equivalent.
5365 WEB TECHNOLOGY This course is designed to familiarize students with concepts and techniques surrounding the building of distributed internet web-based applications. The course will introduce interactive client-server web applications that can be built using various types of Internet technologies. The demonstration of database-driven web sites is performed with the software architecture involved in each tier explored in detail. Common-Gateway-Interfaces are implemented for processing both client and server output data. Security issues and strategies pertaining to an enterprise-wide web-based application are examined and implemented. Prerequisite: CSCI 3330 Algorithms or equivalent.
5370 DATA MINING This course introduces the basic concepts, principles, and the state-of-the-art technologies for Data Mining including Introduction of Data Mining, Data Preprocessing, Data Warehouse, Association Rules, Classification, and Clustering.聽 Specific applications in financial data and Bioinformatics are included.聽Prerequisite:聽CSCI 3360 Database Systems or equivalent.
5371 MACHINE LEARNING An introduction to machine learning. Topics include pattern recognition, computational learning theory, classification and clustering algorithms, data visualization, neural networks, deep learning with big data. Applications in areas such as Computer Vision and Biomedical/Bioinformatics will be emphasized.
5372 DATA CLUSTERING An introduction to data clustering. Topics include proximity functions, attribute normalization, hierarchical algorithms, partitional algorithms, initialization, and validation.
5385 ARTIFICIAL INTELLIGENCE Topics include deduction, reasoning, problem solving, knowledge representation, planning, machine learning, natural language processing, motion and manipulation (robotics), perception (machine perception, computer vision, and speech recognition), social intelligence (affective computing).聽Prerequisite(s) CSCI 3330 Algorithms or equivalent.
6V99 MASTER’S THESIS (Variable credit: 1-6 credit hours.) This course is intended to meet the thesis requirement for the degree. Topics are chosen in consultation with an advisor. Up to six credit hours maybe applied toward the degree. Prerequisite: 18 hours of credit applicable toward the degree.
6360 ADVANCED THEORY OF COMPUTATION Context-free languages and push-down automaton, Turing machines, formal languages, complexity theory, combinatorial and geometric algorithms, and computation complexity. Prerequisite: CSCI 3330 Algorithms and MATH 3330 Discrete Structures II or equivalent.
6375 COMPUTER NETWORK PERFORMANCE ANALYSIS Methods for evaluating the performance of communication networks with emphasis on modeling, mathematical analysis, computer simulation, and measurement. Prerequisites: CSCI 6335 Topics in Networking or equivalent.
6385 TOPICS IN ARTIFICIAL INTELLIGENCE Knowledge representation, machine learning, problem solving, pattern analysis, natural language processing, vision and robotics, neural networks. Prerequisites: CSCI 3385 Artificial Intelligence or equivalent.
6395 INDEPENDENT STUDY A student may undertake a course of study under the supervision of a consenting graduate faculty member. Students who request to take the course should provide a written statement of the content of the course and a tentative reading list. A literature review, project report, or other written product is normally required. This course is offered only in areas of importance but insufficient demand to justify a regular course. May be repeated for credit with instructor permission.
6397 SPECIAL TOPICS The course will address a variety of topics in applied computer science, particularly those addressing recent developments in the field. Topics will vary from semester to semester. This course may be repeated for credit with the prior approval of the graduate advisor. Prerequisite: Consent of instructor.