Purdue University Calumet School of Technology Course Syllabus MET 16200 - Computational Analysis Tools in MET Credits and Contact Hours: Credit 1, Class 0, Lab. 3, Contact Hours 3 Instructor’s or Course Coordinator’s Name: Gregory Neff, PE Text Book, Title, Author and Year: Topics in Computations and Analysis in Mechanical Engineering Technology by Donald Crabtree Introduction to the Course: a. Catalog Description (2010-2011 Academic Catalog): Instruction is given in analytical and computational problem-solving techniques. The electronic calculator, the factor-label method of unit conversions, and engineering graphs are used to solve technical problems in Mechanical Engineering Technology. b. Prerequisites or co-requisites: None c. Required course. Specific Goals to the Course: a) General Education Objectives: Upon completion of this course the student will be able to: 1. Apply the general solution format known as GFSA: GIVEN-FIND-SOLUTION-ANSWER. 2. Demonstrate the following techniques of algebra: Solution of first order linear equations, The application of the least common denominator, Manipulation of exponents and exponential algebra, Solving an equation for a specific variable, The use and meaning of logarithms, The evaluation of radical expressions. 3. Apply conventional and scientific notation in conjunction with appropriate significant figures. 4. Properly use a calculator when carrying out the computations. 5. Apply both U.S. Customary and S.I. (metric) units. 6. Apply the factor-label method of converting units. 7. Demonstrate the following aspects of geometry: The basic regular polygons and the formulae for area, The identity of the conic sections and all formulae, for a circle, The basic solid shapes and the formulae for area and volume. Page 1 of 2 MET 16200 - Computational Analysis Tools in MET 8. 9. 10. 11. 12. 13. 14. 15. Demonstrate the following aspects of trigonometry: Definitions and terminology associated with plane angles, The units of angular measurement, The basic trigonometric functions of sine, cosine, and tangent. Apply the Pythagorean Theorem, Law of Sines and Law of Cosines to achieve solutions to problems involving triangles. Present numerical data on graphs in both linear form and logarithmic form. Draw an acceptable quality graph. Apply the technique of linear regression to numerical data. Apply logarithmic coordinates and their representation in graphs. Demonstrate the technique of power regression applied to exponential equations and their graphs. Apply both single and double linear interpolations of tabular data. b) Criteria 3 Student Outcomes: This course covers items a, b, and f in ABET Criteria 3. Course Delivery Methods (check all that apply): X Laboratory X Other (Blackboard Vista contains course materials such as handouts and is used for assessment) Factors Used to Determine the Course Grade (check all that apply): X Exams X Homework X Class Participation X How the final grade is determined: 3 tests 45% Lab work, Class Participation, Quizzes, & Attendance 15% Brief List of Topics to be Covered: Week Lab Assignment 1 Linear Algebraic Equations 2 Exponents 3 Significant Figures 4 Chain Calculations, Quadratic Formula 5 Linear Graphs 6 Linear Regression 7 Logarithmic Coordinates & Graphs 8 Power Regression 9 Review 10 Linear Interpolation 11 Iteration with Graphical Material 12 Units & Factor Label 13 Equation Solution & Unit Conversion 14 Angles, Trig Functions 15 Assessment Page 2 of 2 Lab Assignment Least Common Denominator Solving Algebraic Equations Radicals, Logarithms Simultaneous Equations Slope & Intercept Curvilinear Graphing Logarithmic Graph: Slope & Intercept Extrapolation & Simultaneous Solution Test 1 Iteration: Trial & Error Test 2 Unit Conversion in Equations Review of Geometry Computations Involving Triangles Test 3