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CS 108: Problem Solving
1.00 Credits
Monmouth University
An introduction to problem solving, emphasizing problemanalysis methods and techniques for solutions. Must be taken as first Computer Science course. Open only to Computer Science majors. Course Type(s): None
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CS 120: Foundations of Computer Science
4.00 Credits
Monmouth University
Broad but non-trivial overview of computer science, designed to provide students with awareness and deeper understanding of the field's many aspects. Topics include: fundamentals of computer architecture, operating systems, and problem solving, as well as social and ethics issues. Intended primarily as a first course for computer science majors. Prerequisite: Mathematics 050. Course Type(s): None
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CS 120 - Foundations of Computer Science
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CS 175: Introduction to Computer Science I
4.00 Credits
Monmouth University
Introduction to the basic concepts of program development in a modern object-oriented language; problem-solving methods and algorithm development; basic data types; language syntax; style and documentation; and coding and testing of programs. Prerequisite: Computer Science 120, or Mathematics 120 or 130 or Software Engineering 120 passed with a grade of C or higher. Course Type(s): None
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CS 175 - Introduction to Computer Science I
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CS 176: Introduction to Computer Science II
4.00 Credits
Monmouth University
Continuation in depth and breadth of problem-solving and algorithm development, using the same modern objectoriented language as in Computer Science 175. More advanced, object-oriented design. Introduction to polymorphism and inheritance. Four hours per week. Prerequisite: Computer Science 175 passed with a grade of C or higher. Course Type(s): None
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CS 199: Independent Study in Computer Science
1.00 - 3.00 Credits
Monmouth University
Independent study in a computer science topic not substantially treated in a regular course; for students with superior ability. One-hour consultation per week. Prerequisite: Prior permission of directing professor and department chair required. Course Type(s): None
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CS 199 - Independent Study in Computer Science
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CS 202: Discrete Mathematics and Applications
4.00 Credits
Monmouth University
Covers the basic concepts, methods, structures, and models from discrete mathematics used throughout computer science. Topics addressed include: logic and mathematical reasoning, functions, sets, summations, asymptotic notation, algorithms and complexity, number theory, cryptography, matrix algebra, induction and recursion, counting techniques, combinatorial objects, discrete structures, discrete probability theory, relations, and graph theory and graph algorithms. Prerequisites: Computer Science 176 and Mathematics 109. Course Type(s): None
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CS 275: Introduction to an Algorithmic Language
3.00 Credits
Monmouth University
A thorough overview of the syntax of an algorithmic language and stress on the concepts of structured program- ming. Four hours per week. Prerequisite: Permission of the instructor. Course Type(s): None
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CS 275 - Introduction to an Algorithmic Language
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CS 286: Computer Architecture I
3.00 Credits
Monmouth University
Number representations and operations. Processor datapath. Pipelining. Memory hierarchy. Input/Output. Assembly language programming. Prerequisites: Computer Science 176 or 275, passed with a grade of C or higher, and either Computer Science 120 or Mathematics 120 or 130 passed with a grade of C or higher. Course Type(s): None
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CS 286 - Computer Architecture I
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CS 288: Cooperative Education: Computer Science
3.00 Credits
Monmouth University
Provides an opportunity for students who are engaged in a computer science-related work experience. Fifteen to twenty hours of work experience per week. This course may be repeated for credit. Prerequisites: Junior standing and 30 or more earned credits with at least 15 taken at Monmouth University. Course Type(s): EX
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CS 288 - Cooperative Education: Computer Science
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CS 298: Special Topics in Computer Science( 200 Level)
1.00 - 3.00 Credits
Monmouth University
An intensive study of a particular subject or problem in computer science to be announced prior to registration. The course may be conducted on either a lecture-discussion or a seminar basis. Three or four hours per week. Prerequisite: As announced in the course schedule. Course Type(s): None
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CS 298 - Special Topics in Computer Science( 200 Level)
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