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PHY131
Fall
2008 Practicals
Welcome! The Practicals
part of your PHY131 courses (also known as “labs”) will involve hands-on
activities and team-work. The goal is
to work on interesting, challenging experiments and activities, deepen your
understanding of the underlying Physics, and develop your laboratory skills
and analysis techniques. |
Jason Harlow, Practicals Coordinator Office: MP129-A, Phone 416-946-4071,
Vatche Deyirmenjian, Practicals
Co-coordinator Office: MP129-B, Phone
416-946-0336
April Seeley, Course Administrator Office: MP129, Phone 416-946-0531,
Larry Avramidis, Phil
Scolieri, Rob Smidrovskis, Practicals Technologists. Office: MP127.
Nearing end of semester
Marks for
Module A and the Error Analysis Assignment have all been posted on
portal.utoronto.ca. Please check to make
sure these are correct. The mark for
Module B and the In-Lab mark will be posted by November 28. After December 2, you may come by MP129 M-F
9:30-5:00 to look at your notebook if you wish.
You may not remove the notebook from MP129, but you can have a look at
the marking and any comments, etc.
Teaching Assistant
Demonstrators
see Physics Department web page for personal
email, or use the portal to contact.
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Time |
Week |
Sec. |
Group |
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Mon. 2-5 |
1 |
P0101 |
A1:Andre E |
A2:Zhe |
A3:Chris |
A4:Dongpeng |
A5:Shervin |
|
A6:Amir |
A7:Federico |
A8:Pawan |
A9:Felicia |
A10:Hlynur |
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Tue. 2-5 |
1 |
P0201 |
B1:Jean-Michel
for Mod.A, Wenlong for Mod.B |
B2:Andre E |
B3:Bijia |
B4:Andrei S |
B5:Xueping |
|
B6:Niall |
B7:Liang |
B8:Catalina |
B9:Ryan |
B10:Slava |
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Wed. 2-5 |
1 |
P0301 |
C1:Ryan |
C2:Slava |
C3:Wenlong for
Mod.A, Jean-Michel for Mod.B |
C4:Hlynur |
C5:Liang |
|
C6:Niall |
C7:Amir |
C8:Mohamed |
C9:Raymond |
C10:Fan |
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Thu. 1-4 |
1 |
P0401 |
D1:Wenlong |
D2:Fan |
D3:Chris |
D4:Mohamed |
D5:Shervin |
|
D6:Hanif |
D7:Pawan for Mod.A, Jean-Michel for Mod.B |
D8:Andrei S |
D9:Felicia |
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Fri. 1-4 |
1 |
P0501 |
E1:Shawn |
E2:Federico |
E3:Wenlong |
E4:Raymond |
E5:Hanif |
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Mon. 2-5 |
2 |
P0102 |
F1:Andre E |
F2:Zhe |
F3:Chris |
F4:Dongpeng |
F5:Niall |
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F6:Amir |
F7:Federico |
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Tue. 2-5 |
2 |
P0202 |
G1:Jean-Michel
for Mod.A, Pawan for Mod.B |
G2:Ryan |
G3:Xueping |
G4:Catalina |
G5:Bijia |
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Wed. 2-5 |
2 |
P0302 |
H1:Masood |
H2:Ryan |
H3:Hlynur |
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Thu. 1-4 |
2 |
P0402 |
I1:Hanif |
I2:Mohamed |
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Wed. 6-9 |
2 |
P5302 |
J1:Masood |
J2:Shawn |
J3:Mohamed |
J4:Hanif |
J5:Slava |
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First |
Last |
Portal
UTORID |
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Amir |
Feizpour |
feizpour |
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Andre |
Erler |
erlerand |
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Andrei |
Swidinsky |
swidinsk |
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Bijia |
Pang |
pangbiji |
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Catalina |
Gomez |
gomezsa1 |
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Chris |
Paul |
paulchr2 |
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Dongpeng |
Kang |
kangdon4 |
|
Fan |
Wang |
wangfan |
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Federico |
Gomez |
duquegom |
|
Felicia |
Kolonjari |
kolonjar |
|
Hanif |
Bayat Movahed |
bayatmov |
|
Hlynur |
Gretarsson |
gretarss |
|
Jean-Michel |
Carter |
delislec |
|
Liang |
Ren |
renliang |
|
Masood |
Samim |
ahmadma1 |
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Mohamed |
Abdelghani |
abdelgha |
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Niall |
Ryan |
ryannial |
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Pawan |
Sandhu |
sandhus2 |
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Raymond |
Gao |
gaomeng |
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Ryan |
Field |
fieldrya |
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Shawn |
Stapleton |
staplet3 |
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Shervin |
Ghofrani |
ghofrani |
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Slava |
Burenkov |
burenkov |
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Wenlong |
Wu |
wuwenlon |
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Xueping |
Zhao |
zhaoxuep |
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Zhe |
Jiang |
jiangzh3 |
Documents
All material from the Error Analysis Assignment is testable on the PHY131 mid-term test. All material from both Modules A and B write-ups and the Error Analysis Assignment are testable material on the PHY131 final exam. We understand that you may NOT remove your notebook from MP126, and therefore it cannot be used as a study aid. However, you should have some familiarity with what happened during the practicals.
PHY131 Practicals Guide: labguidef08.pdf (Please
PRINT this for your records)
Error Analysis Assignment, write-up on 3-page “Answer Sheet”,
due 2nd practicals session, Oct.14-27. This is assigned in the PHY131 Practicals Guide
Practicals
write-up for Module A: ModuleA.pdf (Please PRINT and bring to first practicals
session.)
Practicals
write-up for Module B: ModuleB.pdf (Please PRINT and bring to third practicals session.)
Lab Schedule
You attend the practical on the same weekday on alternate weeks
|
week # |
Week of: |
Mon Tue
Wed Thu Fri
Wed (eve) 2 - 5 2 - 5 2 - 5 1 - 4 1 - 4 6 – 9 |
Sess # |
Topics |
|
2 |
Sept 8 |
No practicals this week |
|
Individual Study:
Error Analysis |
|
1 |
Sept 15 |
No practicals this week |
|
Individual Study: Error
Analysis |
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2 |
Sept 22 |
No practicals this week |
|
Individual Study:
Error Analysis |
|
1 |
Sep 29 |
P0101 P0201
P0301 P0401 P0501
- |
1 |
Module A,
Acceleration and Forces |
|
2 |
Oct 6 |
P0102 P0202 P0302
P0402 - P5302 |
|
Module A |
|
1 |
Oct 13 |
|
2 |
Module A Oct 13 is a University |
|
2 |
Oct 20 |
P0102 P0202
P0302 P0402 - P5302 |
|
Module A |
|
1 |
Oct 27 |
P0101 P0201
P0301 P0401 P0501
- Sess.2 |
3 |
Module B,
Equilibrium and Oscillations |
|
2 |
Nov 3 |
P0102 P0202
P0302 P0402 - P5302 |
|
Module B |
|
1 |
Nov 10 |
P0101 P0201
P0301 P0401 P0501
- Sess.3 |
4 |
Module B |
|
2 |
Nov 17 |
P0102 P0202
P0302 P0402 - P5302 |
|
Module B |
|
1 |
Nov 24 |
P0101 Sess.4 |
|
Module B, P0101
only this week. |
|
2 |
Dec 1 |
No practicals this week |
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Notes on Errors
Every measurement has two parts: the value and the error. For example, I have measured my height to be 180 cm +/- 1 cm. 180 cm is the value, and 1 cm is the error.
When you make a measurement, you determine the value and you should always report the error. The error tells the reader how certain you are about your measurement. Saying my height is 180 cm +/- 1 cm means that I am about 68% certain that my true height falls within the range 179 to 181 cm (one sigma). [That means that if my height was measured 100 times, about 68 of the measurements would be within this range.] It also means I am about 95% certain that my true height falls within the range 178 to 182 cm (two sigma).
The error is never found by comparing it to
some number found in a book or web page!!
There are
many ways of estimating the error in a value.
Here are two examples:
Example 1: “Half the last digit”
If repeated digital measurements of the same property give the exact
same reading again and again, the error is often estimated to be half the power
of ten represented in the last digit.
For example, a repeated voltage measurement of 8.6 volts on a digital multimeter which always displays 8.6 for a certain setup
would be reported as 8.60 V +/- 0.05 V.
Example 2: “Standard Deviation”
In most situations, repeated measurements of the exact same quantity
give different values. These values tend
to be normally distributed around some mean.
You can use the values themselves and the mean to compute the standard
deviation, sigma. Sigma can then be used
as an estimate of the error in any one of the individual measurements. For example, I ask five friends to measure my
height using the same measuring technique.
They each obtain five slightly different values: 178.5 cm, 179.5 cm, 180.5
cm, 181.5 cm and 180 cm. The standard
deviation of these five values (computed from the formulae below) is 1.12
cm. Normally error is only reported to
one or at most two significant digits.
So the error in any of these values is estimated to be 1 cm. For example, the first measurement can be
reported as 179 cm +/- 1 cm.
Mean: 
Standard Deviation (sigma): 
The
following 37-page document, written by David Harrison, is an excellent introduction
to errors (why this material is not standard for all introductory physics
textbooks I don’t know):
Error Analysis in Experimental Physical Science.