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Course Criteria
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3.00 Credits
Process-oriented, data-oriented, and object-oriented approaches for systems development; comparison of various systems development life cycles; DFD methodology for systems analysis using state-of-the-art CASE (Computer Aided Software Engineering) tools; l
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3.00 Credits
Principles of design, introduction to software design methodologies; issues in transition from analysis to logical and physical designs; detailed discussion of structured design methodology (Yourdon, Constantine, Myers); design guidelines; transform analy
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3.00 Credits
The systems approach to managing information; MIS organization within the company; application of organizational behavior to MIS; manager's view of computer systems; planning, designing, and implementing MIS; advanced concepts of MIS.
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3.00 Credits
Explores major issues of software engineering, comparison of various manual/automated analysis and design methodologies; testing and quality assurance; software metrics and configuration management; software productivity and human factors in software deve
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3.00 Credits
Unified Modeling Language (UML), use cases, class diagrams, sequence diagrams, collaboration diagrams, state charts, activity diagrams, component and deployment views, design patterns, and implementation of various UML models through team projects.
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3.00 Credits
Cost and effort estimation models for software projects, planning techniques, productivity metrics, risk management, maintenance, reuse, quality assurance, configuration management, Capability Maturity Models (CMM and P-CMM), and ISO 9001.
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3.00 Credits
Survey of various mathematical topics with applications to computer science.
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3.00 Credits
The design and analysis of computer algorithms, including order notation, sorting, dynamic programming, graph algorithms, string matching, matrix multiplication, NP-completeness.
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3.00 Credits
Course description is currently unavailable.
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3.00 Credits
Review of basic data concepts, linear lists, strings, arrays, and orthogonal lists, trees and graphs, multilinked structures. Searching and sort techniques. Algorithm design, accessing methods, run time cost and efficiency.
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