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Course Criteria
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3.00 Credits
Computer organization and assembler language programming. Prerequisite: CS 106.
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3.00 Credits
Formal languages, BNF, and compiling. Unusual languages such as LISP, SNOBOL, and APL. Conventional languages such as FORTRAN, PL/I, and ADA. Prerequisites: CS 121, 206.
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3.00 Credits
Extends coverage of CS 121 data structures. Applications include data structures for searching and sorting, memory management, graphs, and strings. Emphasis on understanding data abstraction and relationship to good programming practices in large programs. Implementation of data structures and evaluation of results. Prerequisites: a grade of C or better in CS 121. Corequisite: CS 206.
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3.00 Credits
File organizations and access methods. Sort/merge operations; hashing schemes for storage and retrieval. Projects involve data validation; creation and updating of files; simulation and/or implementation of direct or indexed files. Prerequisite: CS 121.
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3.00 Credits
Logical systems; prepositional and predicate calculi. Truth tables, proofs, tautologies, principles of inference, Boolean algebra, DeMorgan's Laws, quantifiers, representations, and set theory. Cross-listed as PHL 320. Prerequisite: MTH 120.
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3.00 Credits
Fundamentals of data communications: data transmission, data encoding, digital data communication techniques, data link control, and multiplexing. Introduction to switched and shared medium communication networks. Prerequisites: grade of C or better in both MTH 120 and CS 121.
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3.00 Credits
Transfer and coding of information. Basics of logic design. Structure, organization, and operational principles of modern computer systems. Case study of a simple mini/microcomputer. Prerequisite: CS 206.
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3.00 Credits
Fundamental concepts of computer science related to programming. Models of computable functions, undecidable problems, recursive functions. Automata, languages, grammars, parsing, parallel architectures, and algorithms. Prerequisites: CS 121; MTH 120.
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3.00 Credits
Methodology of building a complete computer based system. Case studies. Prerequisite: CS 310 or 302.
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3.00 Credits
Relational, hierarchical, and network database models. Conceptual and physical schema. Data definition and data manipulation languages. Database administration, security, integrity, and backup recovery. Query optimization. Normal forms and database design. Latest developments in databases. Prerequisite: CS 310 or 302.
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