Semester.ly

Johns Hopkins University | EN.580.737

Distinguished Seminar Series in Computational Medicine

1.0

credits

Average Course Rating

(4.5)

We live in a new era in the understanding, diagnosis and treatment of human disease. 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. Today's powerful computational platforms are allowing us to begin to identify, analyze, and compare the fundamental biological components and processes that regulate human diseases and their impact on the body. 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 lecture series will feature world experts in computational medicine as well as laboratories at JHU's institute for Computational Medicine (ICM). Spring semester only.

Spring 2013

(4.5)

Spring 2014

(4.5)

Spring 2013

Professor: Feilim Mac Gabhann, Sridevi Sarma

(4.5)

The best aspects of the course included the guest speakers who provided insightful views into the field. Also, the professor and the guest speakers always engaged in amazing dialogue which al owed students to participate and learn. The worst aspect of the course was the scheduled class time which was late enough to sway students from paying attention. The course would improve if the class was scheduled earlier in the day and if students had more guidance on their term papers. Prospective students should expect a fantastic course with a light workload and lots of great guest speakers.

Spring 2014

Professor: Sridevi Sarma

(4.5)

The highlights of this course were the variety of guest speakers and the knowledge base of the instructor. Additionally, there was a dinner at Hopkins Club, and guest speakers were available for questions after the lectures. Many students thought the late time of the class and the term paper were the worst aspects of the course. Suggestions for improvement included holding class at an earlier time, and basing the grade on smal er assignments. Prospective students should know this course is interesting and enjoyable, and gives many opportunities for networking.