X-Git-Url: https://projects.mako.cc/source/bmh-teaching_statement/blobdiff_plain/34f1885dac35ac92e4f0236bd0ac4385ed57cf0b..b3c8d114e5ab55438c49805f00eb7afbeac69e83:/teaching_statement.tex?ds=inline

diff --git a/teaching_statement.tex b/teaching_statement.tex
index 9c2381b..e21076f 100644
--- a/teaching_statement.tex
+++ b/teaching_statement.tex
@@ -127,7 +127,7 @@ After positive evaluations from students, I have been invited to give
 regular lectures in MIT's Executive Education and Visiting MBA
 programs. These lectures have focused on managing innovation, user
 communities, and practical tools for innovating that include lead user
-methods, broadcast search, and the construction of vibrant user
+methods, innovation toolkits, and the construction of vibrant user
 communities.
 
 In addition to experience lecturing, I have also run a series of
@@ -156,10 +156,10 @@ me experience both in day-to-day management and more hands-off
 relationships.
 
 Additionally, I have served as an external advisor to two Masters
-degree students. I advised and evaluated one thesis on technology
-design and am currently advising a social scientific analysis of a
-large free software community. In both cases, I have enjoyed meeting
-regularly and engaging with students over the course of their thesis
+degree students. I evaluated one thesis on technology design and am
+currently advising a second student in a social scientific analysis of
+a large free software community. As an advisor, I have enjoyed meeting
+regularly and engaging with the student over the course of his thesis
 research.
 
 \section{Example Courses}
@@ -170,7 +170,8 @@ Undergraduate ---
 \item \emph{Innovation in the Internet Age}: An introduction to the
   theory and practice of innovation management. Topics include
   traditional firm-based innovation as well innovation by users,
-  hackers, user communities, and free and open source software.
+  hackers, user communities, and free and open source software
+  developers.
 \item \emph{Quantitative Research Methods}: An introductory class on
   applied statistics for social scientists. Topics include basic
   statistical methods up to, and including, linear regression with
