Syllabus_357_501

# Syllabus_357_501 - Instructor email Office hours MEEN 357...

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MEEN 357 – Section 501 (Spring 2010) Engineering Analysis for Mechanical Engineers Instructor: Andrew Duggleby email: Phone: (979) 862-7835 Office: 109 Engineering/Physics Office hours: MW 8:50-9:50 am By appointment (email) TA: (Not relevant) email: Class schedule: MWF 8:00-8:50 Classroom: CHEN 102 Description: This course provides a practical foundation for the use of numerical methods to solve engineering problems . The topics studied in this course are: error estimation, Taylor series, solution of non-linear algebraic equations and linear simultaneous equations; numerical integration and differentiation; initial value and boundary value problems. Personal computers are extensively used in this course, and the student is expected to program the numerical analysis techniques studied. MATLAB is the programming language to be used during this class. Although no previous knowledge of programming in general or MATLAB in particular is required, the students are expected to become proficient in the use of this tool by the end of the semester. Class Credits: Three credits (3-0). Prerequisites: MATH 308 and ENGR 112. Textbook: Numerical Methods for Engineers, 6 nd Edition by Chapra, Canale S.C.,McGraw-Hill. There are many numerical and MATLAB resources available in the library and on the web. Learning Outcomes: 1) Gain programming confidence. Computers are the most widely used tool in engineering. a. Basic programming (data structures, conditionals, loops) b. Reporting (generating plots, tables) c. Use of advanced tool libraries (eg. MATLAB) d. Overcome threshold of MATLAB’s learning curve (preparation for other courses) 2) Develop a foundational understanding and experience in numerical analysis i. Roots of equations ii. Solving algebraic systems of equations iii. Optimization iv. Curve Fitting v. Integration and Differentiation vi. Ordinary Differential Equations (IVP, BVP) vii. Partial Differential Equations (FD, FE)

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3) Design programs and select the appropriate method(s) to solve a given physical/ engineering problem while considering: i. Finite precision (numerical error) ii. Finite memory (accuracy, convergence) iii. Finite processing speed (number of operations) 4) Practice proper programming techniques . You will never be a “Lone-Ranger” (sole-developer, sole-user). If you are, then what you are programming most likely has no value. Nor will you be able to reuse/remember all the details of your own code. i. Design of programs/algorithms ii. Structure (subroutines, functions, testing) iii. Commenting, useful variable naming iv. Large-project management Assessment and Evaluation: Weekly small homeworks out of the textbook (objectives 1, 2, and 4). Three major projects projects (objectives 1, 2, and 4)
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Syllabus_357_501 - Instructor email Office hours MEEN 357...

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