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COMM 490: Special Topics in Communication
3.00 Credits
University of Evansville
Varied topics of periodic interest not covered in regular course offerings. May be repeated. Prerequisites: Senior standing and permission of instructor.
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COMM 490 - Special Topics in Communication
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COMM 499: Independent Study in Communication
1.00 - 3.00 Credits
University of Evansville
Completion of individual course of study under faculty supervision. Topic and credit hours must be approved in advance in accordance with University policy. May be repeated twice for up to six hours credit.
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COMM 499 - Independent Study in Communication
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CS 105: Survey of Computer Science
3.00 Credits
University of Evansville
Intended for students who are not computer science or engineering majors. Provides broad introduction to various concepts and tools used in computing. Topics include number systems, Boolean algebra, problem solving, computability, databases, networking, Internet/Web, user interfaces, artificial intelligence, robotics, and short introduction to programming. Background should include two semesters of high school algebra. Credit not given for more than one of Computer Science 101 or 105 or Engineering 101.
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CS 105 - Survey of Computer Science
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CS 205: Programming for the Sciences
3.00 Credits
University of Evansville
Explores the power and limitations of using computers in the sciences. Includes the study of various approaches to solving scientific problems such as numerical representations, computational numerical methods, and scientific simulations. Course may not be counted toward graduation for computer science or engineering majors. Prerequisite: Mathematics 134, 211, or 221.
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CS 205 - Programming for the Sciences
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CS 210: Fundamentals of Programming I
3.00 Credits
University of Evansville
Emphasizes problem-solving techniques used in the analysis and design of software solutions, including structured top-down design, abstraction, good programming style, debugging, and testing. Programming constructs covered include control structures, functions, and basic, aggregate, and user-defined data types. Introduction to object-oriented design and recursion. Fall, spring.
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CS 215: Fundamentals of Programming II
3.00 Credits
University of Evansville
Project and problem-solving course emphasizes the use of classes for encapsulation of abstract data types and abstract data structures. Topics include classes, templates, dynamic allocation, searching and sorting, recursion, and exception handling. Prerequisite: Computer Science 210. Fall, spring.
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CS 215 - Fundamentals of Programming II
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CS 220: Logic Design and Machine Organization
3.00 Credits
University of Evansville
Introduction to logic design and computer hardware concepts. Topics include Boolean algebra, number representations, sequential logic, counters and registers, microcomputer architecture, and assembly language programming. Spring.
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CS 220 - Logic Design and Machine Organization
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CS 290: Object-Oriented Design
3.00 Credits
University of Evansville
In-depth study of abstract data types and objects, including inheritance and polymorphism, frameworks and design patterns, and the use of these principles in problem solving and program design. Prerequisite: Computer Science 215. Spring.
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CS 290 - Object-Oriented Design
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CS 310: Puzzle Programming
1.00 Credits
University of Evansville
Study of problem solving under time pressure. Simulation of the programming contest environment. All problems considered come from past programming contests. Highly recommended for any student interested in programming competitions. Prerequisite: Computer Science 215 or permission of the instructor. May be repeated for up to three credit hours. Fall.
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CS 315: Algorithms and Data Structures
3.00 Credits
University of Evansville
Design and implementation of algorithms and advanced data structures with attention to complexity and space analysis. Problem-solving strategies including greedy and divideand- conquer algorithms as well as dynamic programming techniques. Prerequisites: Computer Science 215, Mathematics 370. Spring.
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CS 315 - Algorithms and Data Structures
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