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Course Criteria
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3.00 Credits
(3 credits)(Prereq: A grade of 'C' or better in CSCI*316) This course provides an introduction to Linux system administration, including open-source software applications. Topics include managing software installations, configuring hardware drivers, implementing authentication and authorization systems, automating management tasks, and configuring services. Students gain hands-on experience managing Linux systems. F,S
Prerequisite:
Take CSCI*316; Minimum grade C;
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3.00 Credits
(Prereq: Grade of C or better in CSCI 225) An exploration of advanced database topics will be covered. Topics may include the efficiency of advanced queries, indexing structures, database and SQL optimizations, backup and recovery, NoSQL ang big data concepts. F
Prerequisite:
Take CSCI*225; Minimum grade C;
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3.00 Credits
(3 credits)(Prereq: A grade of 'C' or better in CSCI 270 and CSCI*316) Introduction to, and practice of, designing and integrating, large-scale information processing systems, with a focus on selecting and implementing hardware and softwre systems to develop an appropriate IT solution. Topics include systems provisioning, software integration, hardware management, availability, scalability, and disaster recovery capability. Students will design an integrated information system to implement a solution to a case study problem. S
Prerequisite:
Take CSCI*270 CSCI*316; Minimum grade C;
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3.00 Credits
(3 credits)(Prereq: Students must be enrolled in at least 60 hours prior to registration) This course introduces students to the collection, preservation, presentation and preparation of computer-based evidence for the purposes of criminal law enforcement or civil litigation. These activities define the central roles of computer forensic practitioners involved in investigating computer crime scenes and torts involving computers. Students prepare to assist in the formulation and implementation of organizational computer forensics preparedness policies, to determine the necessity for future procedures, extend governance processes to allow for proper future forensic investigations, and to be contributing members of computer forensic investigation teams. F
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3.00 Credits
(3 credits)(Prereq: Junior standing) This course complements CSCI*434 - Digital Forensics by focusing on techniques to reduce the amount of information collected and stored by computer systems, with an emphasis on protecting the system and user from fraud and identity theft resulting from a compromised or stolen system. Concepts related to privacy in the digital world are discussed. Vulnerabilities in digital devices are explored in the context of a dystopian society in which citizens are under perpetual surveillance. S
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3.00 Credits
(3)(Prereq: a grade of C or better in CSCI 220) An overview of the elements of 2D and 3D graphics, includes topics on raster graphics, geometrical transformations, parallel and perspective projections for 3D viewing, interaction techniques, representation of curves and surfaces, solid modeling and topics on visual realism. F or S
Prerequisite:
Take CSCI*220; Minimum grade C;
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3.00 Credits
(3)(Prereq: 12 hours of CSCI courses numbered 120 or above, all with a grade C or better) A large percentage of the world's software is devoted to the interface between computers and their users, and usability is one of the key factors deciding whether a software project succeeds or fails. This course explores the requirements analysis, design and evaluation of the User Interface in the context of Software Engineering Processes. Specific methods and design problems will be illustrated with real world examples in information technology, the internet, communications, mobility, multimedia and speech technologies. F.
Prerequisite:
Take 12 credits; Minimum grade C,TR; From Subject CSCI; Except courses CSCI*101 CSCI*102 CSCI*105 CSCI*106 CSCI*110 CSCI*111;
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3.00 Credits
(3 credits)(Prereq: A grade of 'C' or better in CSCI*145 or CSCI*150/L, and MATH*160 or MATH*160B, or MATH*242/L) This course introduces the theoretical foundations and methodologies of digital image processing and analysis. Topics include intensity transformations, contrast enhancement, filtering in the spatial and frequency domains, restoration and reconstruction, edge detection, feature extraction, morphological operations, image segmentation, object recognition, and color image processing. F or S, as needed
Prerequisite:
Take 1 group; GROUP: Take CSCI*145 MATH*160; Minimum grade C; GROUP: Take CSCI*150 CSCI*150L MATH*160; Minimum grade C; GROUP: Take CSCI*145 MATH*160B; Minimum grade C; GROUP: Take CSCI*150 CSCI*150L MATH*160B; Minimum grade C; GROUP: Take MATH*242 MATH*242L; Minimum grade C;
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3.00 Credits
(3 credits)(Prereq: a grade of 'C' or better in CSCI*210, CSCI*220, CSCI*270, CSCI*330, CSCI*356, and MATH*160 or MATH*160B) This course introduces parallel computer architectures and their programming. It includes an introduction to MPI and OpenMP and a number of engineering problems, including numerical simulations. It also provides an introduction to performance evaluation and modeling as well as scalability analysis. F,S
Prerequisite:
GROUP: Take CSCI*210 CSCI*220 CSCI*270 CSCI*330(3578) CSCI*356; Minimum grade C; GROUP: Take MATH*160 or MATH*160B; Minimum grade C;
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3.00 Credits
(Prereq: CSCI 330 with a grade of C or better) This course is a continuation of the software engineering design principles introduced in Computer Science 330. Topics include project requirements, design specification, testing, project management and group dynamics. Students will design, code, test, and implement an information system as part of a team project. F
Prerequisite:
Take CSCI*330(3578); Minimum grade C;
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