Courses Details

BIOSTAT625: Computing with Big Data

  • Graduate level
  • Fall term(s)
  • 3 Credit Hour(s)
  • Instructor(s): Jiang, Hui
  • Prerequisites: R module in BIOSTAT 607 or equivalent.
  • Description: This course will cover techniques for computing with big data. The topics include programming, data processing, debugging, profiling and optimization, version control, software development, interfacing with databases, interfacing between programming languages, visualization, high performance and cloud computing. Hands-on experience will be emphasized in lectures, homework assignments and projects.
  • Course Goals: This course prepares the students with techniques for manipulating and processing big data by writing customized computer programs. It builds the foundation for the computing aspects of data science. After taking this class, students are expected to have a practical understanding of important computing issues for health big data analysis.
  • Learning Objectives: (a) To master techniques for manipulating and processing big data by writing customized computer programs. (b) To understand the foundation for the computing aspects of data science. (c) To have a practical understanding of important computing issues for health big data analysis.
  • Syllabus for BIOSTAT625