Syllabus for ME 315
Instrumentation and Experimental Design
Fall 2014
Course description
This course introduces engineering measurements, placing special emphasis on the fundamental aspects of engineering measurements, experimental techniques, sensors and measurement systems, computeraided measurement systems, research methods, and the design of experiments and measurement systems. The course includes the study of experimental testing, data analysis, uncertainty analysis and error propagation, and report writing.
General information
 Instructor
 Rico Picone, PhD
 Instructor Email
 rpicone (at) stmartin (dot) edu
 Location Section A
 Cebula 201B
 Location Section B
 Harned 207
 Times Section A
 MWF 1:00–1:50 pm
 Times Section B
 MWF 8:00–8:50 am
 Office Hours
 MWF 9–10 am, Cebula 103C
 Office Hours
 MW 5–6 pm, Spangler Conference Room
 Website
 ricopic.one/courses/me315_2014F
 Moodle
 ME 315 Moodle
Textbook
Patrick F. Dunn. Measurement and Data Analysis for Engineering and Science, Third Edition. Taylor & Francis, 2014.
Notes
Partial notes will be posted here.
Schedule
The following schedule is tentative. All assignments will be set one week before the due date.
week  topics introduced  reading  assignment due 

introduction, fundamentals of experimentation  Chapters 1 & 2  Assignment #1  
probability  Sections 11.1–11.3  Assignment #2  
probability, statistics  Sections 11.4–11.9, Chapter 12  Assignment #3  
uncertainty analysis  Chapter 13  Assignment #4  
regression and correlation  Chapter 14  Assignment #5  
fundamental electronics  Chapter 3  Assignment #6, Midterm #1 (Oct. 1)  
electronics  Chapter 3  Assignment #7  
electronics  Chapter 3  Assignment #8  
measurement systems: sensors & transducers  Sections 4.1–4.7  Assignment #9  
measurement systems: sensors & transducers  Sections 4.8–4.13  Assignment #10  
measurement systems: other components  Chapter 5  Assignment #11  
measurement systems: calibration & response  Chapter 6  Assignment #12  
measurement systems: design stage uncertainty  Chapter 7  Assignment #13  
signal characteristics  Chapter 8  Assignment #14, Midterm #2  
Fourier transforms  Chapter 9  Assignment #15  
finals week  Final Exam 
Assignments
Assignment #1
 Do the assigned reading.
 Take the weekly homework quiz.
Assignment #2
 Do the assigned reading.
 Work Dunn's Chapter 2 homework problems 2, 8, and 9.
 Read the introduction to this article on probability interpretation. If you have time, peruse the rest of the article.
 Take the weekly homework quiz.
Assignment #3
 Do the assigned reading.
 Work Dunn's Chapter 11 homework problems 2, 3, 5, and 6.
 Take the weekly homework quiz.
Assignment #4
 Do the assigned reading.
 Work Dunn's Chapter 11 homework problem 7.
 Work Dunn's Chapter 12 homework problems 1, 2, 4, and 8.
 Take the weekly homework quiz.
Assignment #5
 Do the assigned reading.
 Work Dunn's Chapter 12 homework problems 11, 14, and 16.
 Work Dunn's Chapter 13 homework problems 2, 3, and 4.
 Take the weekly homework quiz.
Assignment #6
 Do the assigned reading.
 Work Dunn's Chapter 14 homework problems 3 and 5.
 Take the weekly homework quiz.
Assignment #7
 Do the assigned reading.
 Do these "special" problems.
 Take the weekly homework quiz.
Assignment #8
 Do the assigned reading.
 Do Dunn Chapter 3 homework problems 1, 2, 4, and 7.
 Take the weekly homework quiz.
Assignment #9
 Do the assigned reading.
 Do this this "special" problem.
 Do Dunn Chapter 3 homework problems 5 and 6.
 Take the weekly homework quiz.
Assignment #10
 Do the assigned reading.
 Do Dunn Chapter 4 Review problems 1 and 2.
 Take the weekly homework quiz.
Assignment #11
 Do the assigned reading.
 Do Dunn Chapter 4 Homework problems 2, 4, and 11. Here are a few suppliers for sensors:
 Take the weekly homework quiz.
Assignment #12
 Do the assigned reading.
 Do Dunn Chapter 6 Homework problems 2, 3, and 5. Also, do Dunn Chapter 9 Homework problem 2.
 Do Problem 1 from the second midterm exam with the following variation in the circuit: add a second resistor R_{2} in parallel with R (which we can now call R_{1}).
 Take the weekly homework quiz (due Wednesday).
Assignment #13
 Do the assigned reading.
 Do this this "special" problem. (Credit: Prof. Hardt, MIT)
 No homework quiz. Life is your quiz. That, and the final exam.
Resources
Class resources will be posted here throughout the semester.Homework, quiz, & exam policies
Homework & homework quiz policies
Weekly homework will be “due” on Fridays, but it will not be turned in for credit. However — and this is very important — each week a quiz will be given on Friday that will cover that week’s homework.
Quizzes will be available on moodle each Friday, and must be completed by that Saturday. Late quizzes will receive reduced credit.
Working in groups on homework is strongly encouraged, but quizzes must be completed individually.
Exam policies
The midterm and final exams will be inclass. If you require any specific accommodations, please contact me.
Calculators will be allowed. Only ones own notes and the notes provided by the instructor will be allowed. No communicationdevices will be allowed.
No exam may be taken early. Makeup exams require a doctor’s note excusing the absence during the exam.
The final exam will be cumulative.
Grading policies
Total grades in the course may be curved, but individual homework quizzes and exams will not be. They will be available on moodle throughout the semester.
 Homework quizzes
 20%
 Midterm Exam #1
 25%
 Midterm Exam #2
 25%
 Final Exam
 30%
Academic integrity policy
Cheating or plagiarism of any kind is not tolerated and will result in a failing grade (“F”) in the course. I take this very seriously. Engineering is an academic and professional discipline that requires integrity. I expect students to consider their integrity of conduct to be their highest consideration with regard to the course material.
Correlation of course & program outcomes
In keeping with the standards of the Department of Mechanical Engineering, each course is evaluated in terms of its desired outcomes and how these support the desired program outcomes. The following sections document the evaluation of this course.
Desired course outcomes
Upon completion of the course, the following course outcomes are desired: students will have a clear and thorough understanding of concepts, principles, and methods of measurement, instrumentation, and experimental design;

students will be familiar with the operation and uses of a number of measurement systems, including the following:
 electrical (e.g. thermistor, strain gage, transducer, displacement indicator, tachometer),
 fluid mechanic (e.g. pitot tube, flowmeter),
 optic (e.g. anemometer, velocimeter, IR detectors), and
 thermoelectric (e.g. thermocouple);
 students will understand basic signal conditioning, processing, and recording;
 students will understand instrumentation calibration and response;
 students will be able to analyze designstage uncertainty;
 students will understand signal characteristics, the Fourier transform, and digital signal analysis;
 students will understand the basics of probability, statistics, uncertainty analysis, regression, and correlation;
 students will be able to write a technical report; and
 students will understand and be able to communicate the broader context of the course material.
Desired program outcomes
The desired program outcomes are that mechanical engineering graduates have: an ability to apply knowledge of mathematics, science, and engineering;
 an ability to design and conduct experiments, as well as to analyze and interpret data;
 an ability to design a system, component, or process to meet desired needs;
 an ability to function on multidisciplinary teams;
 an ability to identify, formulate, and solve engineering problems;
 an understanding of professional and ethical responsibility;
 an ability to communicate effectively;
 the broad education necessary to understanding the impact of engineering solutions in a global and social context;
 a recognition of the need for, and an ability to engage in lifelong learning;
 a knowledge of contemporary issues; and
 an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice
Correlation of outcomes
The following table correlates the desired course outcomes with the desired program outcomes they support.desired program outcomes  

A  B  C  D  E  F  G  H  I  J  K  
desired course outcomes  1  ✔  ✔  ✔  ✔  ✔       ✔ 
✔  ✔  ✔  ✔  ✔       ✔  
✔  ✔  ✔  ✔  ✔       ✔  
✔  ✔  ✔  ✔  ✔       ✔  
✔  ✔  ✔  ✔  ✔       ✔  
✔  ✔  ✔  ✔  ✔       ✔  
✔  ✔  ✔  ✔  ✔       ✔  
 ✔   ✔  ✔   ✔     ✔  
   ✔   ✔  ✔  ✔  ✔  ✔  ✔ 