course
Emerging Scholar's Program

Apr 2020

ESP is not your typical CS class. It’s a small seminar that meets every Friday, and it only counts for a single pass/fail credit. Topics range from applications of basic algorithms to general overviews of machine learning and ethics. I thought the class was a good way to see the specific ways a CS degree can be applied in industry and academia. Cannon is listed as the professor for the course, but he doesn’t actually teach it; everything is handled by the PhD coordinators and the undergrad discussion leaders, but they all have solid CS backgrounds and know their way around the department. Even if you’re set on doing CS, I strongly recommend it as a networking opportunity, as you’ll be able to meet several distinguished faculty members and learn about their research (hint hint).

Aug 2018

Writing this a semester after bc I couldn't believe no one had commented on Bailey yet–– she's incredible!! Better than any grad student, and some professors I've had, at clearly distilling contemporary questions in CS into engaging presentations and activities. I think she (and the program generally) are limited by dated course material, but the lectures that Bailey personally developed were interesting and well-designed. It is clear that she is VERY passionate about the topics she has taken coursework in, and her efforts in office hours and outside of class really made the comp sci department feel like a more welcoming place for me. I don't know where Bailey is going next, but for our sake I hope she keeps teaching in some way