6 Jan 2013 ... Essick, Chapter 1: While Loop & ... DAQ: LabVIEW and non-NI ... Texts: John
Essick, Hands-On Introduction to LabVIEW for Scientists and ...
PHYS 3420, Data Acquisition and Analysis Dr. John Sohl (Revised 1/6/13) Spring Semester 2013 Week #
Monday
Week #1 Jan. 7
Class policies, philosophies, goals. Essick, Chapter 1: While Loop & Waveform Chart. Chap 1: DIY, 4, 9
Essick Chapter 1
Short history of Data Acquisition DAC/ADC, Sampling Theory, Nyquist’s Thm.
Week #2 Jan. 14
Essick, Chapter 2 For Loop & Waveform Graph. Chap 2: 3, 5, 9
Essick Chapter 2
Kirkup, Chapter 1 Intro to Scientific Data Analysis HW: D, G, I, 3
Week #3 Jan. 21
Essick, Chapters 3 Mathscript & XY Graph Chap 3: 1, 6, 7, 8
Essick Chapter 3
Kirkup, Chapter 2 Excel and data analysis HW: E, 1, handout
Week #4 Jan. 28
Essick, Chapters 4 DAQ: LabVIEW and non-NI boards. No homework.
Sohl Handout on DAC & miniLab 1008
Kirkup, Chapter 3 Data distributions I HW: A,B,C,H,I,1,4,5,6,9,12,14
Week #5 Feb. 4
Essick, Chapters 5 Data Files & Character Strings Chap 5: DIY, 1, 6
Essick Chapter 5
Sohl had flu. Life canceled this week.
Week #6 Feb. 11
Essick, Chapter 6 Shift Registers Chap 6: 1, 5, 7
Essick Chapter 6
Kirkup, Chapter 4 Data distributions II HW: C, E, F, 1, 2, 7
Week #7 Exam Feb. 18
MLK Holiday. Essick, Chapter 7 Covered Tuesday at 1:30. Case Structure. Chap 7: 1, 6, 8
Essick Chapter 7 Exam #1 covers weeks 1-5 Take Home
Kirkup, Chapter 5 Uncertainty in Measurements HW: A, C, 4, 6, 9, 14
Week #8 Feb 25
Essick, Chapter 8 Data Dependency, Sequence Struc. Chap 8: DIY, 1, 9
Essick Chapter 8
Kirkup Chapter 6 Least squares I HW: D, K, N, 2, 16
Tuesday Lab
Wednesday
Spring Break, March 4 - 8 Wk #9 Mar. 11
Essick, Chapter 9 Curve Fitting, Chap 9: 2, 5, 7, 8
Essick Chapter 9
Kirkup Chapter 7 Least squares II HW: C, D, J
Wk #10 Mar. 18 Sci Fair
No class today: Ritchey Science and Engineering Fair
No lab this week: Ritchey Science Fair
Kirkup Chapter 8 Non-linear least squares. Solver HW: A, 7, 8
Wk #11 Exm Mar 25
No class today: Undergraduate Research Symposium all day. Take Home Exam #2; wks 6-10
Essick Chapter 10 Analysis VIs and the FFT Chap 10: 1, 2, 7
Non-linear curve fitting in Excel Excel Tips and Tricks HW will be handed out
Wk #12, Apr 1
Essick, Chapter 10 PID Control
Essick, Chapter 12 PID Temperature Control
Kirkup Chapter 9, Tests of significance. HW: A, E, G, 8
Wk #13 Apr 8
Introduction to the Optogalvanic Effect and the next two lab activities.
Using LabVIEW to control a laser. (in Optics Lab)
Kirkup Chapter 10 Data analysis tools in Excel HW: None! (page 437 is useful)
Wk #14 Apr 15
Data acquisition electronics, NIM Bins, gated integrators, lock-in amplifiers;
Using LabVIEW to control a laser and collect data. (in Optics Lab)
Laser Control
Wk #15 Apr 22
Interesting topics in data analysis.
Comprehensive Final Exam. Wed, April 24, 7:00 - 8:50 AM. The final exam will be the lab room.
PHYS 3420, Data Acquisition and Analysis Spring Semester, 2013 - Class Policies Course web site: http://planet.weber.edu/DAQ Instructor: Dr. John Sohl, SL 204A, 626-7907. You can call me at home if < 9 p.m. at 476-0589. Texts: John Essick, Hands-On Introduction to LabVIEW for Scientists and Engineers, 2nd Ed. Oxford, ©2009 Les Kirkup, Data Analysis For Physical Scientists: Featuring Excel, Cambridge University Press (Also used for P4400) Office Hours: M/W = 9:30 - 10:20 and Tu = 12:30 - 1:20, but I’m usually around. Material: You are expected to lightly read over the material in the text prior to class. A though reading prior to lecture would be best. The lecture will contain some material that is not in the text and vice versa. The exams will cover material from the lecture, laboratory and homework. Math Background: I expect you to be comfortable with calculus and exponential notation. Electronic Mail: You will be expected to have an e-mail account and to use it. I will occasionally release information via e-mail such as corrections to labs or handouts, any changes in due dates, etc. You should check your e-mail at least every other day. Exams: There will be two take-home midterm exams and a final exam. The exams will be closed-book. You may bring in a single sheet of paper with notes and a calculator. The final exam will be comprehensive and will be held in the lab. All exams will have a programing component to it. I will target the length of the midterms to one hour and the final to two hours. Supplies: You’ll want a flash drive for storing programs. LabVIEW Laboratory and Homework grading: When you have the activities functioning call me into the lab and I’ll review and grade each activity. Grades are on a scale of 0-4 where a 4 is for beautiful, clean, professional quality work. Due dates and times are at 4:30 p.m. all one week after they were assigned. Late assignments will be penalized by 25% per day. Assignments more than three days late will not be accepted. You may work in pairs (or your lab group of three) if you wish. If you worked as a group, you will present one copy of that effort for the group and each member of the group will receive the same grade. It is best to work alone but to confer with each other often. No homework/lab scores will be dropped. Assignment Hand-in Format: All computer files must be named in the following formats: LabVIEW files: yourname-chapter-problem-title.vi example: Sohl-1-4-metronome.vi Excel files: yourname-descriptive-project-title.xlsx example: Sohl-Kirkup-Ch5.xlsx For Excel files, put all chapter problems in one file and assign a worksheet tab to each problem. Answers to Kirkup’s regular textbook problems will be good old paper and pencil answers. Extra Credit: You will receive 1 point towards the quizzes/homework for each error you find in the text or handouts including: math, physics, English grammar, spelling, typos, etc. Science Fair Judging: You must judge at two science fairs at either the junior high school or high school level. At least one of these should be the WSU Ritchey Science Fairs (March 25, 26). See the next sheet for details. You will get 5% extra credit for judging at a third fair. Grades: The grade will come from a weighted average, where: *Midterms #1 and #2 are each worth 15% for a combined total of 30% of the total grade. *Final Exam (Comprehensive!) is worth 30% of the total grade. *Lab activities and homework (all together) are worth 25% of the total grade. *Science Fair Judging is worth 15% of the total grade.
Science Fair Service Learning Details on the Science Fair Service Learning component: You are required to use your data analysis course skills to work with the school districts assisting in judging science fair competitions. Typically, the science fairs are desperate for judges, when enough science and engineering volunteers are not available the schools fill in with parents. Most of the parents that are assisting do not have a scientific background. It is often the case that these parents feel intimidated and “out of their field” when reviewing science fair projects. They do it because it needs to be done, not because they are comfortable and skilled at this. The level of science fair will be at the middle school level and above since that is a better match for the course as that level of science fair typically has a larger amount of data collection and analysis involved. This is also when it becomes harder to find qualified judges. You will be coached on how to judge projects and work with the school children to encourage improvement and interest in science. The Ritchey Science and Engineering Fair of Utah will be March 21 and 23, 2011 and is conveniently located in the Dee Events Center. You are expected to judge at least one day of the Ritchey fair. The goal of all this is for you to learn how to evaluate someone else’s data analysis and presentation. The instructor will attend some of the science fairs at the schools (as time allows) and will attend both days of the state fair. Each school has a teacher that is the coordinator for the local science fair. Your instructor will ask that teacher to evaluate your performance. I’ll evaluate you at the state level fair.
Goals for the Data Acquisition and Analysis Course Learn to: $ program in LabVIEW $ collect data from the “real world” $ control equipment – light an LED, turn a motor, change the brightness of a lamp/LED $ create a signal generator using DAC and LabVIEW and view it on a scope $ analyze data, native, inside LabVIEW $ do statistics with Excel $ do advanced things in Excel such as using the solver and data analysis pack $ do a linear regression $ do non-linear regression and curve fitting $ Chi-squared tests/fitting $ scientific presentation of data – tables, graphs and figures $ correctly handle error propagation $ understand errors and the difference between systematic and random error $ understand the value of a mean and the uncertainty in the mean $ understand the error in the error (even with 30 readings there is still >10% error in error) $ do an FFT and/or DFT and why you would want to do that.
