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Course Criteria
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4.00 Credits
This course is an accelerated version of the Statway Statistics 1 and 2 sequence (MATH 0990 and 1090) and is taken simultaneously with the corequisite MATH 0995. Along with MATH 0995, it is designed to guide students in completing the topics covered in both beginning algebra and college-level introductory statistics in one semester. MATH 1095 (4 credits) and MATH 0995 (2 credits) are useful to students whose academic program is satisfied by an introductory statistics course, and the corequisite course allows those students who do not place at the MATH 1080 eligibility level to complete a college-level statistics course in 1 semester. Statway Statistics: Accelerated covers sampling distributions, Central Limit Theorems, confidence intervals, and hypothesis testing for population proportions, population means, and means of paired differences. Chi-square tests for one and two-way tables are also covered, as well as necessary topics from beginning algebra. Students must complete MATH 0995 and MATH 1095 in the same semester. MATH 1095 with MATH 0995 is equivalent to MATH 1090.
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4.00 Credits
This is a college-level algebra course that emphasizes properties of functions and their graphs. Linear, quadratic, polynomial, rational, exponential and logarithmic functions are covered. Other topics include: solving equations and inequalities, and systems of equations and inequalities. This course also includes a basic introduction to right triangle trigonometry.
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4.00 Credits
This course, together with MATH 1100: College Algebra, is intended to prepare students for a multiple-term calculus sequence. Course work will involve a thorough exploration of trigonometric functions, polar coordinates and equations, complex numbers, DeMoivre's Theorem, vectors and their applications, the conic sections, parametric equations, sequences, and series. You may not receive credit for both MATH 1150 and MATH 1500.
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4.00 Credits
The concepts and techniques of differential and integral calculus are covered for those who do not need a comprehensive calculus sequence (MATH 1510-1520). The mathematical applications of the content will involve topics that are found in business, technology, and the social sciences.
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5.00 Credits
This course is intended to prepare students for a multiple-term calculus sequence. It covers a thorough exploration of trigonometric functions, along with polar coordinates and equations, complex numbers, DeMoivre's Theorem, vectors and their applications, the conic sections, and parametric equations. Students may not receive credit for both MATH 1500 and MATH 1150.
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5.00 Credits
Calculus 1 is an introductory course designed to provide students with fundamental concepts and techniques essential for understanding calculus. The course emphasizes both theoretical understanding and practical applications through functions, limits, derivatives, and an introduction to integration. The mathematical applications of the content will involve topics that are found in science, engineering, economics, and ecology.
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5.00 Credits
Calculus 2 builds upon the foundational concepts introduced in Calculus 1 and delves deeper into the properties and applications of integration. It also covers infinite sequences and series; introduction to differential equations; calculus of polar coordinates and parametric equations. The mathematical applications of the content will involve topics that are found in science, engineering, economics, and ecology.
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2.00 Credits
An examination of special topic's in mathematics, intended for all intested students.
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4.00 Credits
Concepts fundamental to the analysis of algorithms. Topics include logic, sets, methods of proof including mathematical induction, combinatorics, relations, solution of recurrence relations, graphs and trees.
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4.00 Credits
Matrices and linear transformations, basic theory. Linear vector spaces. Inner product spaces. Systems of linear equations, Eigenvalues, and singular values. Algorithms and computational matrix methods using MATLAB. Use of matrix methods to solve a variety of computer science problems.
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