Race and gender in silicon valley

I am a Lecturer of Computer Science, and typically teach programming (CS2 and systems) and theory (discrete math and automata) course. This autumn, I introduced a new seminar course, Race & Gender in Silicon Valley, offered in the Computer Science Department but in a format more typical of a humanities or social science course. One of the primary feedbacks from students about the course was that every computer scientist should be required to learn this material! I believe that presenting the syllabus and an overview of the students' class projects would be useful for attendees of the mini-symposium, either to inspire similar courses at other universities, or simply to give faculty ideas for individual readings and modules that they might insert into other courses at different levels, such as a CS Principles or Machine Learning. Some of the student projects were also on the topic of repackaging the course for a target audience of high school students, so K12 educators at the mini-symposium would also have directly actionable takeaways. (Course syllabus on the web: http://bit.ly/racegenderinsiliconvalley)