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CS 3329: Analysis of Algorithms
3.00 Credits
Troy University
Alternative techniques to solve computer science problems are presented. Problems include sorting, searching, and graph traversal, lists, ordered lists, linked lists, stacks, queues, and trees. These concepts are presented within an object-oriented framework. Prerequisite: CS 3323.
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CS 3330: Data Structures and Algorithms
3.00 Credits
Troy University
A course in fundamental data structures concepts and alternative techniques for solving real-world problems in computer science. Concepts and application covered include analysis of data representation and associated algorithms, including linked lists, queues, stacks, arrays, graphs, trees, searching, sorting, string matching, and the application of recursive techniques. The course will place an emphasis on the implementation of various algorithms and data structures. Prerequisites: CS 2255, MTH 2201, 2215
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CS 3330 - Data Structures and Algorithms
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CS 3331: Fundamentals of Artificial Intelligence
3.00 Credits
Troy University
Approaches to the definition of artificial intelligence and to the design and implementation of intelligent computer systems. Topics include the Turing Test, Sourly; Chinese Room, blackboard systems, logic programming, knowledge based systems, scripts and schemas, and heuristic search techniques. Prerequisite: CS 3323 or CS 3330.
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CS 3332: Software Engineering I
3.00 Credits
Troy University
Topics are presented that focus on the design and development techniques for large high quality software systems. They include project management issues, analysis and design methods, and approaches to testing. Prerequisite: CS 3323 or CS 3330.
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CS 3332 - Software Engineering I
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CS 3347: Advanced Programming II
3.00 Credits
Troy University
Provides student the opportunity to gain experience and training in an additional high level language. Topics include interactive techniques, arrays, multiple forms, data files and databases, grids, graphics, OLE, DLL's and custom objects. Emphasis is on finding creative solutions to application problems. Prerequisite: CS 2255.
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CS 3347 - Advanced Programming II
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CS 3360: Concepts of Object Oriented Programming I
3.00 Credits
Troy University
Provides students the opportunity to gain experience and training in an additional high level language. The course focuses on advanced topics including classes, objects, interfaces, applications,encapsulation, exceptions, multithreading, graphics, exception handling, files, and streaming. Prerequisite: CS 2255
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CS 3360 - Concepts of Object Oriented Programming I
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CS 3361: Concepts of Object Oriented Programming II
3.00 Credits
Troy University
The conceptual framework for object-oriented programming and systems. Topics include classes, data hiding, modularity, inheritance, and reusable code presented through the use of some object-oriented language. Prerequisite: CS 3360
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CS 3361 - Concepts of Object Oriented Programming II
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CS 3365: Introduction to Computer Organization and Architecture
3.00 Credits
Troy University
Organization and operation of computer systems. Topics include hardware components of digital computers, micro-programming, memory management, interrupt organization, addressing modes, and instruction formats. Prerequisite: CS 3310
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CS 3365 - Introduction to Computer Organization and Architecture
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CS 3370: Nature of Programming Languages
3.00 Credits
Troy University
Basic principles and concepts of programming languages including what a programming language is, various paradigms that a language can follow, and how its syntactical and semantic structures can be specified. The traditional object-oriented paradigm will be presented as well as non-traditional paradigms based on symbolic logic (logic programming) and on functions in lambda calculus (functional programming). Prerequisite: CS 3323 or 3330.
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CS 3370 - Nature of Programming Languages
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CS 3372: Formal Languages and the Theory of Computation
3.00 Credits
Troy University
Formal language theory, including the Chomsky hierarchy, is presented. Emphasis is placed on regular and context free grammars, finite state automata, and translators. Prerequisite: CS 3323 or 3330
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CS 3372 - Formal Languages and the Theory of Computation
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