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Johns Hopkins University | AS.280.346

Introduction to R Programming for Public Health

1.0

credits

Average Course Rating

(4.0)

Formerly known as Advanced Biostatistics Laboratory, a complementary course to 280.345, Public Health Biostatistics, this course teaches R programming skills necessary for conducting independent data analyses, beyond those presented in the main course. No programming experience is necessary, but a willingness to learn independently and work with other students is indispensable.

Fall 2012

(3.58)

Fall 2013

(3.82)

Fall 2014

(4.6)

Fall 2012

Professor: Margaret Taub, Scott Zeger

(3.58)

The best aspect of the course was the smal seminar setting where students got to discuss the material amongst their peers. The worst aspect of the course was the unclear and unfocused topics. The professor wasn’t able to clearly deliver the course content and students found themselves often confused about the readings and concepts. The course could improve if the entire curriculum was better structured to include clearer discussions and possibly handouts to help students get a better grasp of the sociology concepts. Prospective students should know that this course wil help them get a feel of sociological concepts and the workload is not very heavy.

Fall 2013

Professor: Margaret Taub, Scott Zeger

(3.82)

Students thought that the best aspects of this course included the introduction to R Studio software, and the assignments that were applicable to other research situations. Students with little to no experience with computer languages found that learning some of the program functions was very difficult and could have been explained in more depth. Students suggested providing more extensive instructions on how to code and believed that the whole course could have used additional guidance. Prospective students wil find that having experience in coding will be extremely helpful and that the professor is always willing to help anyone who asks.

Fall 2014

Professor: Leah Jager, Margaret Traub

(4.6)

Students appreciated the opportunity to get a solid introduction to biostatistics computer programming taught by helpful and patient instructors. Students thought the course’s greatest weakness was the short class time. Students thought the class could be improved by expanding its scope and additional in-class activities to better grasp the material. Students believed it was important for potential participants to know that previous knowledge of programming was helpful but not necessary for this class.

Lecture Sections

(01)

No location info
M. Taub
13:30 - 14:20