Courses Taught by Hyun Min Kang

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

Graduate level
Residential
Winter term(s) for residential students;
3 credit hour(s) for residential students;
Instructor(s): Hyun Min Kang (Residential);
Prerequisites: Biostat 601, Biostat 602, Biostat 666 or Perm. Instr.
Description: Advanced topics in quantitative genetics with emphasis on models for gene mapping, pedigree analysis, reconstruction of evolutionary trees, and molecular genetics experiments, computational mathematics, and statistical techniques such as Chen-Stein Poisson approximations, hidden Markov chains, and the EM algorithm introduced as needed.
Syllabus for BIOSTAT866