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Course Criteria
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3.00 Credits
An introduction to fundamental mathematical concepts used in mathematics as well as computer science, with an emphasis on writing mathematical arguments. The course presents the principles of mathematical logic and methods of proof such as direct and indirect proofs and mathematical induction. Other topics include sets, functions, relations, matrix algebra, and techniques from elementary combinatorics and graph theory. Prerequisite: 161or COMP 131 or departmental placement. NOTE: Completion of both 211 and 262 fulfills the WR requirement. Offered every fall.
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3.00 Credits
An introduction to the core ideas of probability and statistics. Topics include discrete and continuous random variables, joint and conditional distributions, expectation, variance, random sampling from populations, hypothesis tests, confidence intervals, and a brief introduction to simple linear regression. Prerequisite: 162. Offered in even numbered fall semesters.
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3.00 Credits
An advanced problem-solving course that focuses on the design and analysis of data structures including lists, stacks, queues, trees, and hash tables. Concepts in generic programming are also introduced. The lab component focuses on the implementation of data structures and their application to solving complex problems. Prerequisite: 132. Three hours of classroom and two hours laboratory a week. Offered every spring.
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3.00 Credits
An introduction to numerical methods for solving mathematical problems. Topics chosen from interpolation, numerical differentiation and integration, solutions to linear and non-linear systems, numerical solutions to differential equations and related topics. Prerequisite: 211 and knowledge of a programming language. This course is cross-listed as COMP 241. Offered in even numbered spring semesters.
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3.00 Credits
An introduction to the internal structure and operation of computers. Topics include an introduction to assembly language programming, data representation, machine arithmetic, digital logic, basic hardware components, input/output processing and a survey of modern machine architectures. Prerequisite: 132. Offered every fall. NOTE: Completion of both 251 and 332 fulfills the WR requirement.
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3.00 Credits
Multivariate calculus including vectors, three-dimensional analytic geometry, vector-valued functions, functions of several variables, partial differentiation, and multiple integration. Additional topics if time permits. Prerequisite: 162 or departmental placement. Offered every spring.
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3.00 Credits
An introduction to matrix algebra and abstract vector spaces with an emphasis on writing mathematical arguments. Topics include linear systems and matrices, vector spaces, linear independence, eigenvalues and eigenvectors. Prerequisite: 211 or permission of the instructor. NOTE: Completion of both 211 and 262 fulfills the WR requirement. Offered every spring.
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3.00 Credits
Elementary methods of solutions of selected types of differential equations; solutions of systems of linear differential equations with constant coefficients; and a brief introduction to numerical methods and series solutions. Includes a strong emphasis on applications. Prerequisite: 261. Offered every two years.
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3.00 Credits
Topics to be announced when offered. Prerequisite dependent upon topic. One-half or one course credit.
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3.00 Credits
An advanced course in discrete mathematics introducing the basic tools of combinatorics and their applications. The course will consider the three basic problems of combinatorics; counting, existence and optimization. Prerequisite: 211. Offered even numbered spring semesters.
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