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Course Criteria
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3.00 Credits
Topics include functions, matrix methods, finance, optimization, linear programming, and set theory. Prerequisite: A grade of C or better in MA111 or equivalent course. (Offered On Demand.) 3 credits
Prerequisite:
(MA111)
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3.00 Credits
This course is a continuation of MA140. Topics include the review of data type abstraction, recursion, arrays, stacks, queues, multiple stacks and linked lists. Emphasis is also placed on dynamic storage management, garbage collection, trees, graphs, tables, sorting and searching. Prerequisite: MA140 (Offered Fall Semester)
Prerequisite:
( MA140)
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3.00 Credits
A study of logic, sets, relations, induction, recursion, number systems, counting, and graph theory. Prerequisite: A grade of C or better in MA111 or equivalent course. (Offered On Demand.) 3 credits
Prerequisite:
(MA111)
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4.00 Credits
Extension of concepts of differential and integral calculus and analytic geometry. The calculus of several variables. Polar coordinates, vectors, parametric equations. Prerequisite: A grade of C or better in MA212. (Offered Fall Semester.)
Prerequisite:
( MA212)
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4.00 Credits
Solution of differential equations of elementary types. Solution of homogeneous and nonhomogeneous linear equations, variation of parameters, and differential operators. Prerequisite: A grade of C or better in MA313. (Offered Spring Semester.)
Prerequisite:
( MA313)
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3.00 Credits
This course is a continuation of MA220. Topics include geometry of the plane, right triangle geometry, transformational geometry, Euclidean, and non-Euclidean geometry. Prerequisite: A grade of C or better in MA220. (Offered Spring Semester.)
Prerequisite:
( MA220)
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3.00 Credits
An introduction to the use of the SAS Programming language for the analysis and presentation of data. The topics will include an introduction to the SAS environment on a PC, the components of a SAS program, creating a SAS data set, saving and retrieving data, an introduction to SAS procedures, manipulating dada within SAS, and data mining with large data sets. Prerequisite: A grade of C or better in MA 102 or MA 180 or an equivalent course. 3 Credits.
Prerequisite:
(MA102) or (MA180)
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3.00 Credits
This course emphasizes the use of mathematical models to solve problems. The topics include linear programming, integer programming, dynamic programming, and game theory. Prerequisite: MA211. (Offered Spring Semester.)
Prerequisite:
( MA211)
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3.00 Credits
This course introduces the basic theory in both discrete and continuous aspects of probability theory. Topics include interpretations of probability, counting principles, independence, conditional probabilities, Bayes' theorem, discrete random variables, continuous distributions, expectation of random variables, and central limit theorem. Prerequisite: MA313. (Offered Spring Semester.)
Prerequisite:
( MA313)
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3.00 Credits
This course is a continuation of MA250. Topics include algorithms, algorithmic graph theory and computational geometry. Prerequisite: A grade of C or better in MA250. (Offered Spring Semester.) 3 credits
Prerequisite:
(MA250)
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