2014: Difference between revisions

Revision as of 20:15, 26 January 2014

Professor: Tobias Marriage (marriage@pha.jhu.edu), Office: Bloomberg 215

TAs: Ian Anderson (ianderso@pha.jhu.edu)

Lab Guru: Steve Wonnell (wonnell@pha.jhu.edu)

This page (https://wiki.pha.jhu.edu/advlab_wiki/index.php/2014) is your source of much course-related knowledge. Useful materials will be distributed here.

Also check out general descriptions of labs and pages for previous years at

In this class, you you'll learn

how to conduct an experiment, collecting data with special attention to estimating systematic and statistical measurement errors,
how to model the data,
and how to present your work through scientific writing.

These three aspects essentially define the course. Each lab will be evaluated based on how well the three aspects are realized.

Weekly readings will be assigned from this text:

Bevington & Robinson, Data Reduction and Error Analysis for the Physical Sciences, 3rd Edition, McGraw-Hill, ISBN 0-07-247227-8, 2003

Data Analysis

Press, Teukolsky, Vetterling, Flannery, Numerical Recipes in C (Available online)
Lupton, "Statistics in Theory and Practice"

LaTeX

@@ Line 27: / Line 27: @@
 ===Readings===
-Weekly
+Weekly readings will be assigned from this text:
+Bevington & Robinson, ''Data Reduction and Error Analysis for the Physical Sciences'', 3rd Edition, McGraw-Hill, ISBN 0-07-247227-8, 2003
+===Other Useful Texts===
+'''Data Analysis'''
+*Press, Teukolsky, Vetterling, Flannery, ''Numerical Recipes in C'' (Available online)
+*Lupton, "Statistics in Theory and Practice"
+'''LaTeX'''
+*Lamport, ''LaTeX: A Document Preparation System''
+*A Not Too Short Introduction to LaTeX: [[media:not_too_short.pdf]]
+You might also find useful [[Main_Page#Syllabus_and_Extra_Information| websites from previous years]].