Opportunities and Challenges of
Complex Biomedical Data:
Introduction to the Science of "Big Data"
BIOSTAT 202 Summer 2019 (3 unit)
Application Deadline: July 15, 2019
The growing availability of large amounts of data — obtained either through research or electronic capture of everyday activity — has been termed "big data". This course introduces the opportunities and challenges of using biological and health-related "big data" to perform biomedical research. We will distinguish big data from non-big data and explore the phases of data science: obtaining data, cleaning data, visualizing data, analyzing data, and drawing conclusions.
At the conclusion of this course, students will be able to:
Twice weekly lectures introduce the substantive content for each module, which is subsequently reinforced in weekly applied homework problem sets. Weekly computer lab sessions give students guided problems to work through and the opportunity to learn to use the software, ask questions, and have more interaction with faculty.
In addition, all students will be required to submit a final project in which they manipulate, clean, and analyze data emanating from a large data source. Students will be given a choice of datasets and guidelines for performing the project.
All students are expected to attend or watch all the lectures. Computer labs are an integral part of the course. All students are expected to turn in their weekly homework problem sets through the assigned online portal.
All course materials will be posted on the course's online syllabus.
The software package IBM SPSS Modeler is used in this course. This software is available free for students on the course. Instructions on how to obtain the free license for this software and install it will be provided by the Course Director prior to the course start date.
Grades will be based on the Computer Lab assignments and the Final Project. Lab assignments will be due by the start of lecture the following week. Homework problem sets will account for 70% of the points for the course. The final project, based on course supplied data sets, will account for 30% of the points possible for the course.
To apply for this course, please fill out and submit the application below. Please see our fee page for cost information. The deadline for application is July 15, 2019. Only one application needs to be completed for all courses desired during the quarter.