Physics307L:Schedule/Week 8 agenda: Difference between revisions

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==[[/Survey|Discussion of Survey]]==
==Summer research==
==Discussion of Lab==
* http://news.jic.ac.uk/2011/10/applications-open-for-the-undergraduate-summer-programme/
===Summary for Lab#2===
===Rough draft of final report due beginning of Week 12 (Nov. 5)===
===Bonus points on final lab writeup given for contributions to wiki lab manual (a lot of you have a great start on this already)===
==Lecture==
==="An Introduction to Error Analysis" 2nd Ed. John R. Taylor, $43 new on Amazon===
===[[/Central|Central limit theorem part 2]]===
===[[/Maximum likelihood|Introduction to maximum likelihood]]===


===[[/Weighted|Weighted average & relation to maximum likelihood]]===


===[[/Error|Error propagation (intro)]]===
==Maximum likelihood, fitting a line==
[http://openwetware.org/wiki/Physics307L:Schedule/Week_8_agenda#Fitting_a_line_.28linear_regression.2C_least-squares_fit_for_a_line.29 fitting a line background, derivation]
 
==Reporting results with uncertainty reminder==
http://openwetware.org/wiki/Physics307L:Schedule/Week_6_agenda/Uncertainties
 
===Principle of Maximum Likelihood===
====Excel Sheet====
====[[Media:307L 2007 Week 8 Millikan data.xlsx]]====
 
==Fitting a line (linear regression, least-squares fit for a line)==
===[[/Why linear fit|Why and when linear fit?]]===
===[[/Linear fit theory|Theoretical background]]===
===[[/Linear fit practice|Practical examples]] (We did this last week)===
====Fitting y = mx + b versus x = m'y + b'====
===[http://pages.cs.wisc.edu/~kovar/hall.html More sophisticated curve fitting...a must read!]===
 
 
====REMEMBER to use example of fitting y = mx + b versus x = m'y + b'====
 
==If time, Talents lecture==

Latest revision as of 11:48, 10 October 2011

Summer research


Maximum likelihood, fitting a line

fitting a line background, derivation

Reporting results with uncertainty reminder

http://openwetware.org/wiki/Physics307L:Schedule/Week_6_agenda/Uncertainties

Principle of Maximum Likelihood

Excel Sheet

Media:307L 2007 Week 8 Millikan data.xlsx

Fitting a line (linear regression, least-squares fit for a line)

Why and when linear fit?

Theoretical background

Practical examples (We did this last week)

Fitting y = mx + b versus x = m'y + b'

More sophisticated curve fitting...a must read!

REMEMBER to use example of fitting y = mx + b versus x = m'y + b'

If time, Talents lecture

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