Semester.ly

Johns Hopkins University | AS.250.265

Introduction to Bioinformatics

3.0

credits

Average Course Rating

(4.66)

Algorithms and databases for biological information. A mostly computer lab course covering basic programming; algorithms for comparison of sequence, protein structure and gene expression; protein structure prediction and an introduction to major databases. Students will complete a genomics database project and will prepare and discuss on-line presentations on topics related to the use of genomic information. No programming experience necessary. Preference to Biophysics majors.

Spring 2013

(4.91)

Spring 2014

(4.55)

Spring 2015

(4.52)

Spring 2013

Professor: Patrick Fleming

(4.91)

The best aspects of the course included the interesting course material and the professor. The lectures were informative and well-organized. The worst aspects of the course included the assigned lab readings and the difficulty level of the course for students who did not have prior Biochemistry knowledge. The course would improve if there were more homework assignments and exams spread throughout the semester to give students a better understanding of the concepts. Prospective students should ensure they attend al classes and keep up with the lectures and labs.

Spring 2014

Professor: Patrick Fleming

(4.55)

The best aspects of this course were the hands-on labs, the wel -organized lectures, and the clear expectations and schedule. The instructor was engaging and available to help students. Some students thought the lectures were a bit repetitive. Some suggestions for improvements included making the computer programs available away from the computer lab for more flexibility, and giving additional practice material for exams. Prospective students should know that the course was interesting and informative, with in-depth labs.

Spring 2015

Professor: Patrick Fleming

(4.52)

The best aspects of the course included the fascinating and applicable subject matter that was taught with a hands-on approach. Students felt that the professor was very approachable, invested in his students’ success, and provided a welcome mix of lectures and labs. Some students claimed that feedback on homework was sparse and not returned in a timely manner, and that labs sometimes emphasized fol owing directions over understanding. This class could be improved by having more interactive lectures and exams that tested application of concepts. Prospective students may benefit from a background in Unix and Python. 42