Course Outline for ENGR 300: Engineering Experimentation

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Introduction to Engineering Experimentation. 2 nd. Edition. Pearson Prentice Hall , 2004. References. 1. Holman, J. P. Experimental Methods for Engineers. 7 th.
San Francisco State University School of Engineering

Course Outline for ENGR 300: Engineering Experimentation Required Civil, Electrical, and Mechanical Engineering

Bulletin Description ENGR 300: Engineering Experimentation (3 units) Prerequisites: ENGR 200 or 206; ENGR 103 or CSC 210; PHYS 240 Engineering experimentation. Characteristics of instrumentation and computerized data acquisition. Design, planning, and documentation of experiments. Common methods of probability and statistics. Lecture, 2 units; laboratory, 1 unit.

Textbook nd

1. Wheeler, A. J. and A. R. Ganji. Introduction to Engineering Experimentation. 2 Edition. Pearson Prentice Hall, 2004.

References th

1. Holman, J. P. Experimental Methods for Engineers. 7 ed. McGraw-Hill, 2001. th

2. T. G. Beckwith, R. D. Marangoni, J. H. Leinhard V. Mechanical Measurements. 5 ed. Addison-Wesley, Reading, MA, 1993. 3. J. R. Taylor. An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements. University Science Books, Sausalito, CA, 1997. 4. Lapin, L.L. Probability and Statistics for Modern Engineering. PWS-Kent, 1990.

Coordinator A. S. (Ed) Cheng, Assistant Professor of Mechanical Engineering

Prerequisites by Topic 1. Ability to use simple instruments for measuring length, mass, temperature, etc. 2. Knowledge of the function and use of oscilloscopes 3. Knowledge of elementary programming principles 4. Prior experience with spreadsheets 5. Familiarity with basic electrical circuits and components 6. Knowledge of the physical operating principles of simple instrumentation 52 Course Objectives1 1. To develop basic skills necessary for planning and carrying out experiments. [A.1, A.2, A.3, A.4, B.1, B.2, B.3]

2. To introduce concepts of data-acquisition systems, including signal processing and analog-to-digital conversion. [A.1, A.2, B.1] 3. To introduce the theory and operation of engineering measurement devices. [A.1, A.2, B.1] 4. To introduce basic notions of probability and statistics related to experimentation. [A.1, A.2] 5. To introduce methods of data analysis and uncertainty analysis. [A.1, A.2, A.3, B.1, B.2, B.3] 6. To improve written and oral communication skills. [A.5] Topics 1. Introduction and General Characteristics of Measurement Systems 2. Measurement Systems with Electric Signals 3. Computerized Data-Acquisition Systems 4. Discrete Sampling and Analysis of Time-Varying Signals 5. Statistical Analysis of Experimental Data 6. Experimental Uncertainty Analysis 7. Measurement of Solid-Mechanical Quantities 8. Measuring Pressure, Temperature, and Humidity 9. Measuring Fluid Flow Rate, Fluid Velocity, Fluid Level and Combustion Pollutants 10. Dynamic Behavior of Measurement Systems 11. Guidelines for Planning and Documenting Experiments Professional Component Engineering Science 33% Engineering Design 33% Mathematics 34% Evaluation 1. Weekly homework assignments 2. Midterm and final exams 3. Laboratory performance and written laboratory reports 4. Laboratory practical exam 5. Open-ended project: written proposal, oral presentation, and written report

Performance Criteria2 All these performance criteria begin with: Student will have … Objective 1 1.1 Ability to plan an experiment, identifying the primary variables of interest. [5] 1.2 Ability to make sound engineering assumptions. [1, 2, 3, 5] 1.3 Ability to select appropriate instrumentation for measurements. [3, 4, 5] 1

Numbers in brackets refer to the educational objectives and outcomes of the School of Engineering. 2 Numbers in brackets refer to evaluation methods used to assess student performance. 53

1.4 “Hands-on” skills in using instrumentation. [3, 4, 5] 1.5 Demonstration of good laboratory practices. [3, 4, 5] 1.6 Ability to work with teams. [3, 4, 5] 1.7 Ability to set up and troubleshoot experiments. [3, 4, 5] Objective 2 2.1 Knowledge of data acquisition systems and components. [1, 2, 3, 4, 5] 2.2 Ability to understand and specify/select data acquisition components. [1, 2, 3, 4, 5] 2.3 Ability to specify signal conditioning specifications. [1, 2, 5] 2.4 Knowledge of instrumentation characteristics. [1, 2, 5] Objective 3 3.1 Knowledge of theory and operation of devices for measuring solid-mechanical quantities. [1, 2, 3, 5] 3.2 Knowledge of theory and operation of devices for measuring pressure, temperature, and humidity. [1, 2, 3, 5] 3.3 Knowledge of theory and operation of devices for measuring fluid flow rate, fluid velocity, and fluid level. [1, 2, 3, 5] Objective 4 4.1 Ability to compute descriptive statistics for experimental data. [1, 2, 3, 5] 4.2 Ability to understand probability concepts and read statistical distribution tables. [1, 2 , 3, 5] Objective 5 5.1 Ability to quantify the uncertainty of experimental data. [1, 2, 3, 5] 5.2 Ability to carry out linear regression and understand measurements of correlation for paired data sets. [1, 2, 3, 5] Objective 6 6.1 Ability to write simple technical memo/letter. [3] 6.2 Ability to write a formal engineering report. [3, 5] 6.3 Ability to make an oral presentation using visual aids. [5] Fall Semester, 2005 Instructor: A. S. (Ed) Cheng, Assistant Professor of Mechanical Engineering Office: SCI 112B Phone: 415-438-6578 E-mail: [email protected] Class/Laboratory Schedule One 2-hour-45-minute lab session/week Prepared by Mutlu Ozer, Fall, 2005