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Course Criteria
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3.00 Credits
A continuation of CSCI 301. Topics include: graph theory, finite state machines, trees, automata, sequences, series, recurrence relations and context free grammars. Prereq: CSCI 301 or permission of instructor.
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3.00 Credits
Structure of digital computers, introduction to machine language, number representations, symbolic coding and assembler language, register sets, instruction types, addressing modes, input-output subroutines, segmentation, paging and introduction to operating systems. Prereq: CSCI 222.
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3.00 Credits
Detailed study of data structures and their implementations. Strings, lists, queues, stacks, graphs, trees, B-trees, AVL trees, sparse arrays. File structures, recursion, sorting, searching, hashing. Prereq: CSCI 222.
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3.00 Credits
Advanced programming using an object-oriented language, classes, packages, software reusability, data abstraction and data hiding, inheritance, polymorphism, exception handling, graphics objects, graphical user interfaces and multimedia. Prereq: CSCI 222.
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3.00 Credits
Formulation of numerical problems for solution on a digital computer. Error analysis and control, nonlinear equations, differentiation, integration, systems of equations, differential equations, curve fitting and eigenvalue problems. Prereq: CSCI 221 and MATH 252; CSCI 301 or MATH 310. ( Same as MATH 340/540)
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3.00 Credits
Business programming applications using advanced features of COBOL with emphasis on programming style, techniques. and structured programming. Prereq: CSCI 250.
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3.00 Credits
Study of the systems development life cycle system, various types of systems including business and government. Methods of designing systems, data management, input and output design, hardware selection and methods of information processing. Prereq: CSCI 221 or 250.
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3.00 Credits
Practical applications involving an in-depth study of technical issues and design methodologies used in the design of decision support systems. Prereq: CSCI 351.
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3.00 Credits
Fundamentals of microcomputer connectivity and communications. Local and wide area network basics, networking architecture and standards. Network protocols including TCP/IP. Comparison, installation and maintenance of Network Operating System. Prereq: CSCI 222.
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3.00 Credits
Introduction to artificial intelligence, pattern recognition and classification, fuzzy set logic, natural language user interfaces, learning machines and adaptive systems, object oriented programming inference and rule based systems, arity, expert systems, associative systems, forward and backward chaining backtracking depth first and breadth first searching. Programming in languages appropriate to A.I. Prereq: CSCI 222 and 301.
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