A github repo for the Data Science in Biomedical Engineering and Data Science for Public Health Course.
JHU academic calendar JHBSPH academic calendar
Course location / time: Tuesdays and Thursdays
- 8:30 - 9:50 at East Baltimore, the SPH building, Room W5030
- 1:30 - 2:45 at Homewood Shaffer 304
Instructor office hours: 1st hour after class at each campus
- E3610 of the SPH building
- Clark 314 B at Homewood
TA office hours:
- Homewood: Thursdays at 3:00 Ames 218
- East Baltimore: Wednesdays at 3:00 room TBA
Course instructor: Brian Caffo
Course instructor and TA communication: slack
Quizzes: Quizzes will be given at the end of each Thursday class starting in the second week (PH) and first week (BME)
Homeworks: Homeworks will be assigned and due dates given in class
Project: final project will be handed in on the final class for each group. Rubric here (note subject to change)
- Motivation
- Data science tools
- R programming
- Basic Python
- Reproducible report writing
- Exploratory data analysis / interactive graphs
- Developing data products
- Probability
- Statistical inference
- Data resampling methods
- Linear Models / regression
- Generalized linear models
- Neural networks
- Capstone project
All course communcation will come be over the #ds4bme channel on the ds4bme2019 slack channel. Invites to the group will be given in the first class.
The course will involve three forms of evaluation: quizzes, homework and projects.
The final grade will be the average of the project, in class quiz grades and homework weighted equally.
The quizzes percentage will be calculated as:
(X1 + ... + Xk) / (P1 + ... + PK)
where the Xi and Pi are the student points and possible points on assessment i respectively.
The homework grade will be calculated in the same way.