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	Principles of Experimental and Engineering Design Environmental Science and Engineering 6306-16370   T/R 6-7:20 PM Engineering Room 225 Textbook: Text: Principles of Statistics for Engineers and Scientists by William Navidi ISBN-10: 0077289315 ISBN-13: 978-0077289317 Software: Minitab and Excel

Office: Engineering Annex 216

Email:  WaltonClass"at"gmail.com
Office Hours:

My office is Engineering Annex 216 in the Engineering Annex Building.  My office hours for the Fall 2009 semester are Tuesday and Thursday from 2:00 to 4:00 p.m. During office hours, I will generally be in my office.  You do not need an appointment to see me during these hours, just come to the office. You can come by at any other time, but I may be out of my office teaching a class, working in the lab, or attending a meeting.  If you cannot meet with me during office hours, please see me after class for an appointment.

Course Description

This class was developed for the Environmental Science and Engineering Program to provide students coming from a mixed science and engineering background with an introduction to experimental design, engineering design, and how both could be incorporated into real world problem solving. This is a large task that is difficult to cover in a semester. Thus the syllabus has compromises. We will rapidly go through the statistics textbook, a task that will require significant work by students outside of class. Engineering design will be covered withing the limited context of how mathematical calculations and simple models can be used in engineering design. Work will be split between traditional class exercises and a design project. The project will be forced to have aspects of engineering design and data analysis.

Class will consist of short lectures followed by working through exercises. Students can work on the exercises in groups but each student must turn in the results separately. Homework will be graded on a pass/fail basis and is due after class hours on the assigned day. Tests will be similar to the homework. Exams will assume you have memorized the meaning of all bold words in assigned portions of the textbook.

Lectures and homework assume that you have read the assigned chapter PRIOR to coming to class.

Resources

http://office.microsoft.com/training/training.aspx?AssetID=RC010919231033  Microsoft Excel

http://www.epa.gov/air/oaqps/eog/envirostats/index.html  EPA Introduction to Environmental Statistics

http://rredc.nrel.gov/solar/new_data/confrrm/ep/    El Paso Solar Radiation Data

http://www.tceq.state.tx.us/cgi-bin/compliance/monops/site_photo?12  temperature and other data

http://wise.cgu.edu/ Statistics Tutorials

http://ordination.okstate.edu/index.html Ordination Web Page

http://www.stat.berkeley.edu/users/stark/SticiGui/index.htm

http://onlinestatbook.com/rvls.html

Statistica Online Textbook

Regression http://mallit.fr.umn.edu/fr5218/reg_refresh/index.html

http://noppa5.pc.helsinki.fi/links.html

http://www.uic.edu/sph/eohs_webcasts.htm

Texas Solar Radiation Data http://www.me.utexas.edu/~solarlab/tsrdb/index.

NREL Data

Learning Goals

Engineering Design - A Creative Process

a) risk versus benefit

b) cost versus performance

c) differential equation problem statement and solution

d) time value of money

Projects

a) apply concepts above

b) oral presentation skills

c) written presentation skills

d) visual presentation skills

e) web page

Grades:

Project: 25%, Midterm Exams 2 x 20%, Final Exam: 20%, Class Exercises: 15%

Grade Scale: PhD: 90, 80, 70, 60 MS and Undergraduate: 85, 75, 65, 55

Homework should be emailed to: WaltonClass "at" gmail.com Late fee: 1 second - 2 days (-10%); otherwise (-50%)

Exams will assume you have memorized the meaning of all bold words in assigned portions of the textbook.

Projects: Projects will be graded by the other students as a zero sum game and by the instructor. These results will be kept confidential. Reporting on other's performance is part of your project grade.

Projects:

Project Subjects

a) solar panels on single family residence roof with batteries and without batteries

b) rainwater capture active and passive

c) passive and non passive solar home

d) detention pond

e) air or water pollution control system

f) water supply reservoir

g) as approved by instructor

Each project must:  a. have a statistical/data analysis component, b. make a simulation model of a system in Excel, c. have a cost estimate that compares alternatives, d. discuss environmental tradeoffs, e. be presented on a web site

Note: all reports are on your web page

Preliminary Report:  10-15 minute presentation (not timed), 5 page report, summarize your research, plans, data collection, analysis, engineering alternatives

Final Report: 15 minutes (timed), ~10 page report, show a-e above

Attendance

Class attendance is not required, however the student is responsible for all material presented. Material presented in class periods the student does not attend should be obtained from other students - not by coming to the instructor. My experience is that students who do not work assigned homework prior to class do poorly on tests.

Policy on Cheating

Students are expected to be above reproach in all scholastic activities. Students who engage in scholastic dishonesty are subject to disciplinary penalties, including the possibility of failure in the course and dismissal from the university. "Scholastic dishonesty included but is not limited to cheating, plagiarism, collusion, the submission for credit of any work or materials that are attributable in whole or in part to another person, taking an examination for another person, any act designed to give unfair advantage to a student or the attempt to commit such acts." Regents' Rules and regulations, Part One, Chapter VI, Section 3, Subsection 3.2, Subdivision 3.22. Since, scholastic dishonesty harms the individual, all students, and the integrity of the university, policies on scholastic dishonesty will be strictly enforced. In short, cheating will not be tolerated.