# ASU MATH 4311 - Syllabus (2 pages)

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## Syllabus

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## Syllabus

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Lecture Notes

Pages:
2
School:
Angelo State University
Course:
Math 4311 - Numerical Analysis

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Mathematics 4311 Numerical Analysis Student Learning Outcomes 1 The student will demonstrate factual knowledge including the mathematical notation and terminology used in this course Students will read interpret and use the vocabulary symbolism basic definitions used in numerical analysis including those related to topics learned in calculus and algebra and revisited in this course limits continuity numerical integration numerical differentiation ordinary differential equations systems of linear equations and polynomial interpolation 2 The students will describe the fundamental principles including the laws and theorems arising from the concepts covered in this course Students will identify and apply the properties and theorems that result directly from the definitions as well as statements discovered in calculus and extended in this course for example Rolle s Theorem Mean Value Theorem Intermediate Value Theorem Taylor series theorems on convergence and existence and their error terms 3 The students will apply course material along with techniques and procedures covered in this course to solve problems Students will use the facts formulas and techniques learned in this course to develop and use algorithms and theorems to find numerical solutions and bounds on their error to various types of problems including root finding polynomial approximation numerical differentiation numerical integration 4 The students will develop specific skills competencies and thought processes sufficient to support further study or work in this field or related fields Students will gain the ability to use a software package such as Maple to solve numerical problems and acquire a level of proficiency in the fundamental concepts and applications necessary for further study in academic areas requiring numerical analysis as a prerequisite for graduate work or for work in occupational fields These fields might include further study in mathematics engineering computer science or the physical

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