Courses Details

BIOSTAT625: Computing with Big Data

  • Graduate level
  • Residential
  • Fall term(s) for residential students;
  • 3 credit hour(s) for residential students;
  • Instructor(s): Hui Jiang (Residential);
  • 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.
  • 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
JiangHui
Hui Jiang
Concentration Competencies that BIOSTAT625 Allows Assessment On
Department Program Degree Competency Specific course(s) that allow assessment
BIOSTAT Health Data Science MS Apply descriptive and inferential methodologies according to the type of study design or sampling technique for answering a particular public health question BIOSTAT625