Added glossary link to the README KIPAC#47

Author: drphilmarshall

README.md

@@ -44,6 +44,8 @@ Our goal is that students taking this course will:
 * Machine Learning
 * Project Presenations
 
+You can help write a glossary of terms used in the lectures [here](doc/Glossary.md).
+
 ### Contact
 
 * Phil Marshall

examples/SDSScatalog/CorrFunc.ipynb

@@ -165,10 +165,7 @@
     "* Correlations between mock galaxies distributed uniformly randomly over the survey \"footprint\" helps account for spurious effects in the correlation function that might arise from weird survey area design.\n",
     "\n",
     "\n",
-    "* We'll use Mike Jarvis' `TreeCorr` code [(Jarvis et al 2004)](http://arxiv.org/abs/astro-ph/0307393) to compute this correlation function estimator efficiently. You can read more about better estimators starting from [the TreeCorr wiki](https://github.com/rmjarvis/TreeCorr/wiki/Guide-to-using-TreeCorr-in-Python#using-random-catalogs).\n",
-    "\n",
-    "\n",
-    "* "
+    "* We'll use Mike Jarvis' `TreeCorr` code [(Jarvis et al 2004)](http://arxiv.org/abs/astro-ph/0307393) to compute this correlation function estimator efficiently. You can read more about better estimators starting from [the TreeCorr wiki](https://github.com/rmjarvis/TreeCorr/wiki/Guide-to-using-TreeCorr-in-Python#using-random-catalogs)."
    ]
   },
   {