ECE 316: Statistical Design and Control Laboratory-Plasma Aided Manufacturing

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ECE 316 - Statistical Design and Control Laboratory-Plasma Aided Manufacturing

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Catalog Description

316 Statistical Design and Control Laboratory-Plasma Aided Manufacturing. (Crosslisted with Ind Engr, Neep 316.) Irr; 1 cr. Students will be introduced to statistical methods for measurement, calibration, data logging, control, experimental design and analysis using plasma-aided manufacturing as the vehicle. P: Cons inst.

Course Prerequisite(s)

See catalog description above.

Prerequisite knowledge and/or skills

Previous exposure to experimental concepts and testing of rigorously formulated hypotheses in a laboratory setting.

Textbook(s) and/or other required material

Textbook: None.

Reference: Statistics for Experimenters: An Introduction to Design, Data Analysis, and Model Building, Box, Hunter and Hunter, John Wiley and Sons, New York (1978).

Course objectives

The laboratory course is designed to introduce students to techniques for the optimization of processes and the efficient operation of hands-on experiments using statistical methods in a high-technology field.

Topics covered

Two-level factorial and fractional-factorial designs
Response surface methods
Calibration of instruments
Mechanistic model building
Gauge repeatability and reproducibility studies

Class/laboratory schedule

Six laboratory sessions, corresponding to projects:

1.Glow-discharge-induced plasma modification of pipette tips

2.Measurement of ion-saturation-current in an electron-cyclotron- resonance plasma with fractional-factorial methods

3.Evaluation of measurement instruments and operators

4.Maximization of the optical emission of atomic fluorine in an electron-cyclotron-resonance plasma reactor response-surface methodology

5.Calibration of mass flow controllers

6.Determination of the relationship between the floating and plasma potentials in an electron-cyclotron-resonance plasma using mechanistic model-building techniques

Contribution of course to meeting the professional component

This course contributes primarily to the students' knowledge of engineering topics, and does provide design experience.

The following statement indicates which of the following considerations are included in this course: economic, environmental, ethical, political, societal, health and safety, manufacturability, sustainability.

Rigorous statistical interpretation of scientifically collected data is critical to an engineer's preparation for making sound judgement on matters of engineering and scientific policy. Many of the failures in public policy for science and engineering may be traced to a failure to adequately understand statistical inferences that can be reliably drawn from experimental data. Hence, this lab contributes to understanding of the following issues in science and engineering policy: economic, environmental, ethical, political, societal, health and safety, manufacturability, sustainability.

Relationship of course to undergraduate degree program objectives and outcomes

This course primarily serves students in the department. The information below describes how the course contributes to the undergraduate program objectives.

developing knowledge of measurement techniques and experimental procedures in core electrical and computer engineering applications ability to use probabilistic concepts to design and analyze systems and experiments with random effects.

Assessment of student progress toward course objectives

Laboratory projects are documented in detailed reports, grades and instructor feedback to students are based on evaluation of these reports.

Person(s) who prepared this description

J. Leon Shohet

Copyright 2007 The Board of Regents of the University of Wisconsin System
Date last modified: 04-Aug-2007
Content by: ece@engr.wisc.edu
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