Instructor:     Vivek Sharma
Office:         Mayer Hall 3314 
Phone:          534-1943
E-mail:         vsharma@hephp1.ucsd.edu

Office Hours:   Tuesday, 12:00 - 13:00 pm, 3314 Mayer Hall


TA: Matt Worcester
Office:  UPRC, 6126 Urey Hall
Phone:  558-8019
E-mail:  mworcest@sdcc13.ucsd.edu



Lectures: Mondays, 10:10-11:00 am, WLH 203 The lectures will discuss the analysis of experimental data and the treatment of errors. Problems will be assigned periodically and discussed in the lectures. The problems will not be graded, but doing and understanding them is greatly encouraged and is to your benefit.
Laboratory: Tuesdays, 2:20-5:10 pm, WLH 2216 Each student is required to do 7 experiments. Each experiment is performed by one student. Each student will be assigned a particular experiment in the first week, and rotate to the next experiment on the following week, continuing in this manner until all 7 experiments have been completed. For example, the student assigned experiment 6 the first week will then have experiment 7 the second week, experiment 1 the third week, experiment 2 the fourth, and so on. If it is necessary to make-up a missed experiment, consult the TA for an open slot in the schedule. Those experiments performed on schedule have priority, so it is advised to adhere to the original schedule. PLEASE NOTE: A very strict make-up policy will be enforced! The student should prepare for the experiment in advance by reviewing the relevant course material and reading the written description of the lab manual. Near the beginning of the lab session, the TA will come around to discuss the experiment with you. Your knowledge of the experiment will be noted and used in the determination of your course grade. Also, a student who is (in the opinion of the lab TA) obviously unprepared may be asked to leave and do the experiment at a later date. Exams: There will be a final exam which will cover the material in the lectures. Some of the questions will be taken directly from the problems which were assigned in the lectures.
                  FINAL EXAM is March 21, 8:00 am - 11:00 am               

                 

Grading Policy:  Lab Notebook    70%

                 Exam            30%



The following items are needed for this course. Text (recommended) John R Taylor An Introduction to Error Analysis, Second Edition University Science Books, Oxford University Press. Available at the University Bookstore Laboratory Manual Laboratory Manual, Physics 2DL Dept. of Physics, UCSD Available at the University Bookstore Notebooks (lab) Two 7 7/8 x 10 1/8 quadrille ruled notebooks Label them 1 and 2 (with your name) You will work with one notebook while the other one is being reviewed by the TA. Graph Paper It is acceptable to produce linear graphs directly in the laboratory notebook pages. Some experiments may require semi-log graph paper which is available in the University Bookstore. Calculator A scientific calculator with a statistical analysis package (mean, standard deviation, and linear regression). Any calculator with a statistical package that you can use will be adequate.
The following guidelines are intended to supplement the discussion in the laboratory manual concerning the lab notebook. 1) Data is most easily presented in the form of a Table which includes units and uncertainties. All data should be entered into the bound notebook in ink!! It is OK to cross out mistakes and replace them with the corrections. No erasing or use of white-out will be allowed. NO loose pages will be accepted. Any additions should be permanently attached to the pages of the notebook (staple or tape). It is okay to photocopy a master data set and attach it to your notebook after you leave the lab. 2) It is much easier to grade your notebook if you also present an analysis Table. For example: Suppose you measured a voltage V (with error) and a distance r (with error) and tabulated them in your data table. Next you decide to plot V**2 versus 1/r**2. It is a very good idea to make a new Table containing: V V**2 r 1/r**2 (all with the propagated uncertainties) before actually making the plot. Also a sample calculation is requested to demonstrate how you obtained the Table entries (one is sufficient). 3) If you are making a least-squares analysis, you should start by showing the predicted functional relation and identifying the various coefficients which are determined by your "fit". The output of a least-squares analysis should contain both coefficients and their uncertainties. Remember that it may be necessary to propagate the errors in the coefficients to obtain the errors in the final results. Finally, show the "fit" on the graph with your data for comparison. 4) All results should be compared with the accepted (or theoretical) values whenever possible, and any discrepancies should be noted and discussed in your concluding remarks. 5) This course is not designed so that everyone gets the right answer. The experiments and setups are not perfect and will not always yield the desired results. Therefore, 'fudging data' will not be beneficial to you. Please maintain the integrity of your results!
Vivek Sharma <vsharma@ucsd.edu>

Last modified: Mon Jan 5 17:00:36 PST 1998