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MECENG103

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MECENG 103 - Experimentation and Measurements

Mechanical Engineering Undergraduate COE - College of Engineering

Subject

MECENG

Course Number

103

Department

Mechanical Engineering

Course Level

Undergraduate

Course Title

Experimentation and Measurements

Course Description

This course introduces students to modern experimental techniques for mechanical engineering, and improves students’ teamwork and communication skills. Students will work in a laboratory setting on systems ranging in complexity from desktop experiments with only a few instruments up to systems such as an internal combustion engine with a wide variety of sensors. State-of-the-art software for data acquisition and analysis will be introduced and used throughout the course. The role of error and uncertainty, and uncertainty propagation, in measurements and analysis will be examined. Design of experiments will be addressed through examples and homework. The role and limitations of spectral analysis of digital data will be discussed.

Minimum

4

Maximum

4

Grading Basis

Default Letter Grade; P/NP Option

Method of Assessment

Alternative Final Assessment

Instructors

Johnson, Makiharju, Chen

Prerequisites

MEC85, ME40, ME100/EE 49, ME 106 (can be taken concurrently), and ME 109 (can be taken concurrently).

Repeat Rules

Course is not repeatable for credit.

Credit Restriction Courses. Students will receive no credit for this course if following the course(s) have already been completed.

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Course Objectives

Introduce students to modern experimental techniques for mechanical engineering; provide exposure to and experience with a variety of sensors, including those to measure temperature, displacement, velocity, acceleration and strain; examine the role of error and uncertainty in measurements and analysis; exposure to and experience in using commercial software for data acquisition and analysis; discuss the role and limitations of spectral analysis of digital data; provide experience in working in a team in all aspects of the laboratory exercises, including set-up, data collection, analysis, technical report writing and oral presentation.

Student Learning Outcomes

(a) an ability to apply knowledge of mathematics, science, and engineering (b) an ability to design and conduct experiments, as well as to analyze and interpret data (c) an ability to function on multi-disciplinary teams (d) an ability to identify, formulate, and solve engineering problems (e) an understanding of professional and ethical responsibility (f) an ability to communicate effectively (g) the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context (h) a recognition of the need for, and an ability to engage in life-long learning (j) a knowledge of contemporary issues (i) an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.

Formats

Lecture, Discussion, Laboratory

Term

Fall and Spring

Duration (in weeks)

15

Minimum Hours

2

Maximum Hours

2

Minimum Hours

1

Maximum Hours

1

Minimum Hours

3

Maximum Hours

3

Minimum Hours

6

Maximum Hours

6