This course is used as a placeholder for the new course Biostat 203B: Introduction to Data Science. Please check syllabus carefully to be sure it is the course you want to take.
Computing skills and software tools for handling potentially big public health data.
Tue/Thu 1p-2:30p @ CHS 61-269
Dr. Hua Zhou
Office: CHS 21-254A
Phone: (310)794-7835
Email: huazhou@ucla.edu
Office hours: Tue/Thu @ 2:30p-3:30p
Juhyun Kim, juhkim111@ucla.edu
Office hours: Mon @ 8:50a-9:50a, Fri @ 1p-2p, CHS A1-241 (Computer Lab)
This is a tentative list of topics:
The prerequisite for this course is Biostat 203A: Introduction to Data Management and Statistical Computing. Those wishing to enroll without these prerequisites will need to obtain consent from the instructor.
http://biostat-m280.info or http://hua-zhou.github.io/teaching/biostatm280-2019winter/
There are no required textbooks. Some useful resources will be distributed during class.
Class attendance is mandatory.
There will be 3-5 homework assignments throughout the quarter.
Grades will be based on the homework (70%) and class attendence (30%). Auditors must earn a respectable D to gain recording of this course.
See the university’s policy on academic integrity at http://www.deanofstudents.ucla.edu/Portals/16/Documents/StudentGuide.pdf. You may discuss with your fellow students on homework assignments, but simply giving or receiving answers or code to or from another student is cheating. Cheating also includes copying from another student’s paper or code, using unauthorized materials during exams, and falsifying data.