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Course Criteria
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3.00 Credits
Although this is a three-credit course, the credits do not count toward graduation. This course meets three times per week, and is offered through the Mathematics Reinforcement Lab. It is "self-paced," peer-tutored, and designed to prepare the studentfor Math 115. The topics will be structured to meet the individual needs of each student. A maximum of 9 credits may be earned from Math 070. Prerequisite: Math placement exam.
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3.00 Credits
Although this is a three-credit course, the credits do not count toward graduation. This course meets three times per week, and is offered through the Mathematics Reinforcement Lab. It is "self-paced," peer-tutored, and designed to prepare the studentfor Math 115. The topics covered will be structured to the individual needs of each student. A maximum of 9 credits may be earned from Math 075. Prerequisite: Math placement exam.
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3.00 Credits
This course engages the student in various mathematical topics interweaving historical highlights and current developments. Its purpose is to extend the student's ability to reason with quantitative information and to develop the critical thinking and quantitative reasoning skills needed to understand major life issues. Mathematical topics covered will vary. The student should achieve an appropriate score on Part A of the Mathematics Placement Exam before enrolling in this course. The student must complete the Mathematics Placement Test prior to enrolling in this course.
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4.00 Credits
This course consists of lectures and computer labs and meets five hours per week. The course stresses concepts necessary for calculus, with particular emphasis on functions and their graphs, problem-solving and mathematical modeling, and an introduction to data analysis. This course will incorporate the use of computers and graphic calculators. The student must complete the Mathematics Placement exam prior to enrolling in this course. This course does not count toward a major in Mathematics. Prerequisite: An appropriate score on part B of the Mathematics Placement Exam, or permission of the instructor.
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4.00 Credits
This course consists of lectures and computer labs and meets five hours per week. An introduction to elementary techniques of statistics reinforced and facilitated by the use of a statistical computer package. This course emphasizes exploratory data analysis and the use of statistical inference in the study of population parameters. It includes both estimation and confidence interval testing procedures. The student must complete the Mathematics Placement exam prior to enrolling in this course. Prerequisite: An appropriate score on part B of the Mathematics Placement Exam, or permission of the instructor.
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3.00 Credits
A study of discrete models. Topics include graphs theory-trees, Eulerian and Hamiltonian circuits, and networks; combinatorics-elementary counting principles with applications to coding and genetic codes, permutations and combinations, inclusion/ exclusion principles, and recurrence relations; matrices; and Markov chains. The course emphasizes problem-solving and modeling as opposed to algorithmic techniques. It is recommended for students of the social and natural sciences, as well as for majors in Business, Education, or Mathematics. Prerequisite: MAT 115 or Math placement exam.
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4.00 Credits
This course consists of lectures and computer labs and meets five hours per week. The concept "function" is studied from graphical, numerical, and symbolic perspectives.Exponential, logarithmic, and trigonometric functions are reviewed and studied in detail. Derivatives are studied in detail, with emphasis on rates of change, tangent lines, and local linearity. Differential equations and initial value problems are introduced, with emphasis on geometric and modeling perspectives. Computers and computer labs are used throughout. The student must complete the Mathematics Placement exam prior to enrolling in this course. Prerequisite: Either MAT 115, appropriate scores on parts B and C of the Mathematics Placement Exam, or permission of the instructor.
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4.00 Credits
This course consists of lectures and computer labs and meets five hours per week. Differential equations and initial value problems are studied, with emphasis on geometric and modeling perspectives. Integration, symbolic and numerical, is studied in detail, with applications, including distance, area, volume, centers of mass, arc length, and probability. Sequences and series of numbers and functions are studied. Computers and computer labs are used throughout. Prerequisite: Either MAT 221 or permission of the instructor.
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4.00 Credits
This course consists of lectures and computer labs and meets five hours per week. Vectors, analytic geometry of functions of two or three variables, partial derivatives, multiple and iterated integrals, extrema of functions of two variables, line integrals, and Green's Theorem in the plane are topics discussed in this course. Computer labs will be used to enhance these topics. Prerequisite: MAT 222.
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4.00 Credits
This course consists of lectures and computer labs and meets five hours per week. It is a matrix-oriented course which proceeds from concrete, practical examples to the development of the general concepts and theory. Topics include matrix operations, systems of equations, determinants, properties of Rn, eigenvalues and eigenvectors, orthogonality, and partitioned matrices. Prerequisite: MAT 222.
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