Semester.ly

Johns Hopkins University | EN.580.736

Distinguished Seminar Series in Computational Medicine

1.0

credits

Average Course Rating

(4.86)

Over the past ten years, extraordinary advances in modeling and computing technologies have opened the door to an array of possibilities that were previously beyond the reach of biomedical researchers. The next step, then, is to harness the potential of these theoretical and computational tools and theory in a meaningful way -that is, to apply this "new medicine" to the exploration and treatment of many of our current diseases. This course will require students to attend seminars hosted by JHU's Institute for Computational Medicine (ICM) once a month in addition to weekly discussions of recent scholarly advances in computational medicine and conversations with invited seminar speakers. Seminars are hosted on the first Tuesday of each month at 4:00 pm.

Fall 2012

(4.71)

Fall 2014

(5.0)

Fall 2012

Professor: Feilim Mac Gabhann, Sridevi Sarma

(4.71)

This course provided a relaxed introduction to biophysics. The professors engaged students in interesting yet laid back lectures on various topics. The worst aspect of the course was the once-a-week meeting time, which limited the amount of learning being received and gave little room for content retention. Most students felt the course would be improved if it met more times a week for shorter periods of time so they could get more in-depths knowledge of certain topics. Prospective students should be happy to know they wil be in a relaxed and enjoyable course, and as long as they attend class regularly and complete all assignments, they will be successful.

Fall 2014

Professor: Feilim Macgabhann, Sridevi Sarma

(5.0)

Students praised this course for having hands-on labs that focused on practical learning. Perceived issues with the course varied; a couple students disliked that they received little feedback on exams. Suggestions for improvement included a belief that the lectures could be better designed so that they would be more conceptual and informative as well as more welcoming to non-biomedical engineers. Prospective students should know that students found the course had a time consuming, heavy workload and required them to be self-driven. 43

Lecture Sections

(01)

No location info
J. BaderF. Mac GabhannS. Sarma
12:00 - 12:50