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Course Criteria
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4.00 Credits
4 credits MTH 110 or above or Placement at MTH 112 level Fundamentals of object-oriented programming in the language of instruction (e.g., Java). Topics include: basic computation, input and output, control structures, classes and object instantiation, methods and parameter passing, arrays and strings, sorting and searching. Laboratory.
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2.00 Credits
2 credits Any CSC course or Permission Studies social and moral problems arising from the use of computing technologies, with a particular focus on the Internet. Topics such as free speech, privacy, communications interception, encryption, intellectual property, liability for software and hardware malfunction, and for information content.
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4.00 Credits
4 credits CSC 120 and MTH 120 Focuses on object-oriented design, encapsulation and inheritance. Programming topics such as recursion and event-driven programming. Basic data structures such as a stacks, queues and linked lists.
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4.00 Credits
4 credits CSC 220 Software development: requirements, specification, modern design techniques, program testing methods, software metrics as used in quality evaluation, and project management.
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4.00 Credits
4 credits CSC 220 and MTH 220 Advanced data structures and algorithms, algorithmic analysis, and an introduction to distributed and parallel algorithms.
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2.00 - 4.00 Credits
2-4 credits Permission Topical study in computer science. While topics vary, the course usually introduces a particular computer programming language (e.g., C, C++, Prolog, etc.).
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4.00 Credits
4 credits CSC 220 Advanced introduction to assembly languages and structure and organization of digital computers, including addressing schemes, digital representation of data and computer arithmetic.
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4.00 Credits
4 credits CSC 220 and MTH 220 Introduction to techniques of computer graphics including three-dimensional representations, perspective, computer animation, computer art and applications of computer graphics to various other disciplines.
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4.00 Credits
4 credits CSC 220 Survey of major topics in artificial intelligence. Emphasis on fundamental concepts: search, knowledge representation, problem solving and logic. Additional topics such as expert systems, learning, natural language processing, neural networks, planning, theorem proving and vision. Programming in an AI language.
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2.00 - 4.00 Credits
2-4 credits Permission Topics of current interest and importance.
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