ROCHESTER INSTITUTE OF TECHNOLOGY COURSE OUTLINE FORM COLLEGE OF SCIENCE. School of Mathematical Sciences

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May Manning
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! ROCHESTER INSTITUTE OF TECHNOLOGY COURSE OUTLINE FORM COLLEGE OF SCIENCE School of Mathematical Sciences New Revised COURSE: COS-MATH-411 Numerical Analysis 1.

12-17-10 Optional Course Designations: Yes No General Education Writing Intensive Honors Approval Request Date Approval Grant Date 2.

1 ! ROCHESTER INSTITUTE OF TECHNOLOGY COURSE OUTLINE FORM COLLEGE OF SCIENCE School of Mathematical Sciences New Revised COURSE: COS-MATH-411 Numerical Analysis 1.0 Course designations and approvals: Required Course Approvals: Approval Approval Request Date Grant Date Academic Unit Curriculum Committee College Curriculum Committee Optional Course Designations: Yes No General Education Writing Intensive Honors Approval Request Date Approval Grant Date 2.0 Course information: Course Title: Numerical Analysis Credit Hours: 3 Prerequisite(s): COS-MATH-231 and -241, and some programming knowledge Co-requisite(s): None Course proposed by: School of Mathematical Sciences Effective date: Fall 2013 Contact Hours Maximum Students/section Classroom 3 25 Lab Workshop Other (specify) 2.1 Course conversion designation: (Please check which applies to this course) Semester Equivalent (SE) to: Semester Replacement (SR) to: New 2.2 Semester(s) offered: Fall Spring Summer Offered every other year only Other Page 1 of 5

2 2.3 Student requirements: Students required to take this course: (by program and year, as appropriate) Fourth-year Computational Mathematics majors Students who might elect to take the course: Applied Statistics majors and Mathematics minors. Mathematics must take either 511 or Goals of the course: (including rationale for the course, when appropriate) Students majoring in Applied 3.1 To introduce techniques for the numerical solution of mathematical problems. 3.2 To analyze the errors produced in the numerical solution of mathematical problems. 4.0 Course description: (as it will appear in the RIT Catalog, including pre- and co-requisites, semesters offered) COS-MATH-411 Numerical Analysis This course covers numerical techniques for the solution of nonlinear equations, interpolation, differentiation, integration, and the solution of initial value problems. (COS-MATH- 231 and -241, and some programming knowledge) Class 3, Credit 3 (F) 5.0 Possible resources: (texts, references, computer packages, etc.) 5.1 Richard Burden and Douglas Faires, Numerical Analysis, Brooks/Cole, Pacific Grove, CA. 5.2 David Kincaid and Ward Cheney, Numerical Analysis, Brooks/Cole, Pacific Grove, CA. 5.3 Gilbert Stewart, Afternotes on Numerical Analysis, SIAM, Philadelphia, PA. 5.4 Michael Heath, Scientific Computing, McGraw-Hill, Columbus, OH. 6.0 Topics: (outline) Topics with an asterisk(*) are at the instructor s discretion, as time permits 6.1 Principles of Finite Precision Computation Floating point arithmetic Forward and backward error analysis Stability 6.2 Solutions of the Nonlinear Equation f(x) = Bisection, Newton, secant and variations Fixed-point methods Newton s method for nonlinear systems 6.3 Interpolation and Approximation of Functions Lagrange interpolation Divided differences Cubic splines Bezier polynomials Page 2 of 5

3 6.3.5 Trigonometric interpolation and the Fast Fourier Transform Wavelets* 6.4 Numerical Integration Gaussian quadrature Adaptive integration 6.5 Initial Value Problems for Ordinary Differential Equations One-step methods such as Euler, Taylor and Runge-Kutta Multi-step methods such as Adams-Bashforth and Adams-Moulton 7.0 Intended learning outcomes and associated assessment methods of those outcomes: Assessment Methods Learning Outcomes 7.1 Explain principles of finite precision computation 7.2 Compute solutions of a nonlinear equation f(x) =0 7.3 Compute interpolation and approximation of functions 7.4 Explain Gaussian integration and its error 7.5 Apply multi-step methods such as Adams- Bashforth and Adams-Moulton to initial value problems 8.0 Program goals supported by this course: 8.1 To develop an understanding of the mathematical framework that supports engineering, science, and mathematics. 8.2 To develop critical and analytical thinking. 8.3 To develop an appropriate level of mathematical literacy and competency. 8.4 To provide an acquaintance with mathematical notation used to express physical and natural laws. 8.5 To produce graduates who can effectively use mathematics and/or statistics to model, analyze, and solve problems arising in science, engineering, business, and other disciplines. Page 3 of 5

4 9.0 General education learning outcomes and/or goals supported by this course: Assessment Methods General Education Learning Outcomes 9.1 Communication Express themselves effectively in common college-level written forms using standard American English Revise and improve written and visual content Express themselves effectively in presentations, either in spoken standard American English or sign language (American Sign Language or English-based Signing) Comprehend information accessed through reading and discussion 9.2 Intellectual Inquiry Review, assess, and draw conclusions about hypotheses and theories Analyze arguments, in relation to their premises, assumptions, contexts, and conclusions Construct logical and reasonable arguments that include anticipation of counterarguments Use relevant evidence gathered through accepted scholarly methods and properly acknowledge sources of information 9.3 Ethical, Social and Global Awareness Analyze similarities and differences in human experiences and consequent perspectives Examine connections among the world s populations Identify contemporary ethical questions and relevant stakeholder positions 9.4 Scientific, Mathematical and Technological Literacy Explain basic principles and concepts of one of the natural sciences Apply methods of scientific inquiry and problem solving to contemporary issues Comprehend and evaluate mathematical and statistical information Perform college-level mathematical operations on quantitative data Describe the potential and the limitations of technology Use appropriate technology to achieve desired outcomes Page 4 of 5

5 Assessment Methods General Education Learning Outcomes 9.5 Creativity, Innovation and Artistic Literacy Demonstrate creative/innovative approaches to coursebased assignments or projects Interpret and evaluate artistic expression considering the cultural context in which it was created 10.0 Other relevant information: (such as special classroom, studio, or lab needs, special scheduling, media requirements, etc.) None Page 5 of 5

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