Courses Details

BIOSTAT615: Statistical Computing

• Graduate level
• Residential
• Fall term(s) for residential students;
• 3 credit hour(s) for residential students;
• Instructor(s): Hyun Min Kang (Residential);
• Prerequisites: None
• Description: A survey of key algorithms for statistical computing and its applications in Biostatistics. The course will cover fundamental computational techniques for dynamic programming, sorting, and searching, as well statistical methods for random number generation, numerical integration, function optimization, Markov-Chain Monte Carlo, and the E-M algorithm. Enables students to understand numerical results produced by a computer and to implement their own statistical methods.
• Syllabus for BIOSTAT615