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Course Criteria
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3.00 Credits
Uses the idea of information as a unifying theme to investigate a range of issues in database systems, artificial intelligence, and data communications. Topics covered include information models and systems, database systems, relational databases, knowledge representation and reasoning, intellectual property, and privacy and civil liberties. Prereq: CS 142; D. Blaheta
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3.00 Credits
Covers elementary topics in software engineering essential to the design and development of larger software projects. Topics include requirements management, design, software evolution, testing, and project management. Students typically work in teams on a medium-sized software project. Issues of social responsibility, intellectual property, copyright, and assessing the risks in computer systems are discussed. Prereq: Any 200-level Computer Science course.; O; W; J. Dooley
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3.00 Credits
Mathematical theories, algorithms, software systems, and hardware devices for computer graphics. Translation, rotation, scaling, projection, clipping, segmented display files, hidden line and surface elimination, surface texturing, point plotting display, raster display, random stroke display, input of graphical data. Prereq: CS 205 and MATH 152 (or equivalent); STAFF
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3.00 Credits
Advanced management of computer resources such as storage, processors, peripheral devices, and file systems. Storage allocation, virtual memory, scheduling algorithms, synchronization, mutual exclusion, deadlock, concurrent programming, processes, inter-process communication, protection, operating system organization. Prereq: CS 226 and CS 201; STAFF
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3.00 Credits
Automata theory (finite machines, Turing machines, regular expressions, context-free languages); computability theory (decidable and undecidable languages, problems that are solvable and not solvable by computers); complexity theory (time and space complexity of algorithms, NP-completeness, intractability); a critical study of the design issues that underlie modern programming languages including the study of lexical and syntactic analysis and the important programming paradigms. Prereq: CS 142 and MATH 175; D. Bunde
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3.00 Credits
Covers advanced topics in computer/data networking. Topics include media types, network architectures, common networking practices and components, network design fundamentals, network management technologies and practices, and an introduction to various service and maintenance protocols (IP, DNS, DHCP, WINS, etc.). Prereq: CS 226; STAFF
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3.00 Credits
Theory and practice of computer programming language translation. Lexical analysis, syntax analysis, finite state automata, parsing methods, error handling, error recovery, compiler organization, interpretation, intermediate languages, code generation and optimization techniques. Prereq: CS 201 and CS 306; STAFF
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3.00 Credits
A survey of topics in the branch of computer science concerned with creating and understanding "intelligent" computer systems,including advanced search techniques and heuristics, knowledge representation, expert systems, natural language processing, machine learning, and game playing. Topics will also include the study of the nature of intelligence and the representation of intelligent machines in fiction. Prereq: CS 262 or permission of the instructor; D. Blaheta
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3.00 Credits
Theory and management of database management systems, including database models, design principles, file organizations, data structures and query organization for efficient access, query languages, database-interface applications, normalization and relational concepts such as views, procedural database programming and referential integrity. Prereq: CS 262; STAFF
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3.00 Credits
Building large-scale computing systems uses requirements analysis, project planning, extensive documentation, cooperative teamwork, and design techniques to decompose a system into independent units. The course covers all the phases of large-scale system development. Different development models are examined including the waterfall model, the spiral mode, rapid prototyping, and extreme programming. Students typically work together in teams to build a term-long project, gaining practical experience with developing larger systems. Prereq: CS 292; O; W; J. Dooley
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