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Course Criteria
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3.00 Credits
An introduction to the software engineering process, including lifecycle phases, problem analysis, specification, project estimation and resource estimation, design, implementation, testing/maintenance, and project management. In particular, software validation and verification as well as scheduling and schedule assessment techniques will be discussed. Note Lab fee charged Credits: 3
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3.00 Credits
Analysis of rounding errors, numerical solutions of nonlinear equations, numerical differentiation, numerical integration, interpolation and approximation, numerical methods for solving linear systems. Prerequisites and Corequisites Course prerequisite: MATH 225 Cross-listed: MATH 471 Credits: 3
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3.00 Credits
Solution of nonlinear equations. Computational methods of linear algebra, theory of matrices in numerical analysis, special eigenvalue problems and computational algorithms. Finite difference interpolations, numerical solutions to ordinary and partial differential equations, boundary value problems. Prerequisites and Corequisites Course prerequisite: CSC 471 Cross-listed: MATH 472 Credits: 3
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3.00 Credits
Philosophy and techniques of operations research, including game theory, linear programming, simplex method, and duality, transportation and assignment problems, introduction to dynamic programming, and queuing theory. Applications to business and industrial problems. Prerequisites and Corequisites Course prerequisites: STAT 281 and one year of calculus or Instructor consent Note Lab fee charged Cross-listed: MATH 475, STAT 475 Credits: 3
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3.00 Credits
Optimal decision-making and modeling of probabilistic systems. Topics include Markov processes, queuing theory, reliability, univariate and multivariate search techniques. Prerequisites and Corequisites Course prerequisite: MATH 475 or equivalent Note Lab fee charged Cross-listed: MATH 477, STAT 477 Credits: 3
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3.00 Credits
Systems analysis covers concepts, skills, methodologies, techniques, tools and perspectives essential for systems analysts to successfully design information systems. Topics include requirements specifications, object-oriented analysis and design using the unified modeling language and project management. Note Lab fee charged Credits: 3
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3.00 Credits
The study of formalized database design. This course will focus on relational model design and the use of SQL. Students will use a modern relational database to implement designs and learn the basics of data management. Note Lab fee charged Credits: 3
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1.00 - 3.00 Credits
A highly focused, and topical course. The format includes student presentations and discussions of reports based on literature, practices, problems, and research. Seminars may be conducted over electronic media such as Internet and are at the upper division or graduate levels. Enrollment is generally limited to fewer than 20 students. Note Lab fee charged Credits: 1-3
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1.00 - 4.00 Credits
Includes directed study, problems, readings, directed readings, special problems and special projects. Students complete individualized plans of study which include significant one-on-one student/teacher involvement. The faculty member and students negotiate the details of the study plans. Enrollments are usually 10 or fewer students. Meetings depending upon the requirements of the topic. Note Lab fee charged Credits: 1-4
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1.00 - 5.00 Credits
Includes current topics, advanced topics and special topics. A course devoted to a particular issue in a specified field. Course content is not wholly included in the regular curriculum. Guest artists or experts may serve as instructors. Enrollments are usually of 10 or fewer students with significant one-on-one student/teacher involvement. Note Lab fee charged Credits: 1-5
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