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Course Criteria
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3.00 Credits
This course will cover trigonometric functions, definitions, radian measure, graphs, solving trigonometric equations, vectors, Law of Sines, Law of Cosines, Complex numbers, polar coordinates. Graphing Calculator is required.
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5.00 Credits
In this course students will study polynomial, rational, exponential, logarithmic, and trigonometric functions, relations, and applications. Additional topics include sequences and series, conic sections, matrices, the binomial theorem, modeling, and graphing technology. This course prepares students for calculus.
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4.00 Credits
Applied Calculus introduces the techniques of elementary calculus for functions of one variable including differentiation and integration. Applications are emphasized in the areas of biological, management and social sciences. Techniques of calculus of several variables including partial differentiation and multiple integrals are introduced. Graphing calculator required (TI-83/84 preferred).
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3.00 Credits
Students will learn about the interaction between statistical and mathematical reasoning and their application to the collection, preparation, and presentation of data. In addition to traditional structured data analysis, this course will also consider unstructured data such as natural language and image processing. Access to a computer is required. This course fulfills the Math GE requirement. The course will also serve as a prerequisite to later data science courses, i.e., Math 2080/3080. The course is designed to support students interested in pursuing data heavy degrees/careers.
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3.00 Credits
Students will learn about the interaction between statistical and mathematical reasoning and their application to the collection, preparation, and presentation of data. In addition to traditional structured data analysis, this course will also consider unstructured data such as natural language and image processing. Access to a computer is required.
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5.00 Credits
This course is an introduction to calculus: functions and their limits, especially as applied to derivatives and integrals. Topics include continuity of functions, techniques and applications of differentiation (related rates, graphing, and optimization), and elementary techniques and applications of integration. These topics are applied to algebraic, trigonometric, exponential, and logarithmic functions.
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4.00 Credits
This course is a continuation of the study of calculus. Topics include techniques of integration and applications, numeric integration techniques, calculus in conic sections and polar coordinates, infinite sequences and series (tests for convergence), and introduction to vectors.
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3.00 Credits
This is a course in discrete mathematics. Topics will include sets and relations, functions, induction, recursion, counting, permutations, combinations, algorithms, and graph thedory. This course is a required of mathematics and computer science majors as well as some fields of engineering.
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1.00 - 6.00 Credits
An opportunity for majors to apply knowledge and techniques learned in the classroom to an actual job experience. Classroom instruction must precede the experience, or the student must be registered for courses at the same time the student is enrolled in the work experience.
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1.00 - 6.00 Credits
An opportunity for majors to apply knowledge and techniques learned in the classroom to an actual job experience. Classroom instruction must precede the experience, or the student must be registered for courses at the same time the student is enrolled in the work experience.
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