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ENME Undergraduate Course Description: ENME 392

For more information about the Undergraduate Program in Mechanical Engineering, contact: Dr. Sami Ainane Director of Undergraduate Programs ainane@umd.edu

ENME 392- Statistical Methods for Product and Process Development
Mechanical Engineering

Designation: Required

Course Description:

Integrated statistical methodology for the improvement of products and processes in terms of performance, quality and cost. Designed experimentation. Statistical process control. Software application. Laboratory activities.

Prerequisite(s): MATH 241

Textbooks

• Modern Engineering Statistics, by Lawrence L. Lapin

Course Objectives

This course is designed to provide students with an intellectual "tool kit" of statistical methods to use in the understanding, analysis, modeling, and solution of product and process improvement opportunities. The major components of this course will be five lecture modules listed below.

• Basic Concepts in Product and Process Improvement
• Introduction to Statistics
  
• Process Monitoring
  
• Comparison of Treatments
• Designed Experiments

To demonstrate a command of these topics, course participants will engage in a Course Team Project. Teams will propose and execute a project to recommend product or process improvements to a real product or process observed by the team. The team project will begin in September. Teams will be assigned group homework tasks in support of the project. The project will culminate in a final report of modest proportions and a poster to be displayed during a class poster session in early December.

Topics Covered

• Introduction to Modern Engineering Statistics and Descriptive Statistics (Lapin Chapter 1)
  
• Probability (Lapin Chapter 2)
  
• Random Variables and Probability Distributions (Lapin Chapters 3 and 4)
  
• Sampling Distributions (Lapin Chapter 7)
  
• Statistical Process Control (Lapin Chapter 16)
• Statistical Estimation (Lapin Chapter 8)
  
• Statistical Testing (Lapin Chapter 9)
  
• Analysis of Variance (Lapin Chapters 13)
  
• Experimental Design
  
• Linear Regression with Least Squares (Lapin Chapter 10, Chapter 11)
• Important Distributions in Engineering (Lapin Chapter 4)

Class/Laboratory Schedule

• Two 75-minute lecture sessions per week
  
• Five Quizzes
• Two in-class examinations plus a final examination
  
• Course Team Project

Design Component

This course specifically satisfies Learning Objective 8. The student teams choose a specific topic to study. They must design the experiment and the method for obtaining the data- whether it is continuous or discrete. By the application of the appropriate statistical tools they generalize the information from the sample to the entire population of study.

Contribution to professional component:

• Math and basic science 1.0 (units)
  
• Engineering topics: 2.0 (units)
  
• Does this course contain design experience? Yes

Relationship to program outcomes

ENME 392 contributes directly to the following specific Mechanical Engineering Program Outcomes of the ME Department:

1. The specialized knowledge relevant to specific mechanical engineering careers.
   
2. The ability to apply mathematics, science, and engineering knowledge to solve mechanical engineering problems.
   
3. The ability to work in teams effectively to address practical engineering problems.
   
4. The ability to design and conduct experiments and to interpret and generalize from the results.
   
5. The ability to engage in life-long learning and the ability to conduct research using external sources.
   

Prepared by: David Bigio

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