Course Website Locator: bio248-01

Harvard School of Public Health

The following course websites match your request:

Spring 2008

Dr. P. Catalano
5 credits
Lectures. Two 2-hour sessions each week.

A course in computing algorithms useful in statistical research and advanced statistical applications. Topics include computer arithmetic, matrix algebra, numerical optimization ethods with application to maximum likelihood estimation and GEEs, spline smoothing and penalized likelihood, numerical integration, random number generation and simulation methods, Gibbs sampling, bootstrap methods, missing data problems and EM, imputation, data augmentation algorithms, and Fourier transforms. Students should be proficient with C or Fortran programming.
Course Note: BIO235, or signature of instructor required; cross-listed, HSPH student must register for HSPH course. (5.06)

Course evaluations are an important method for feedback on the quality of course offerings. The submission of a course evaluation is a requirement for this course. Your grade for the course will be made available only after you have submitted responses to at least the first three questions of the on-line evaluation for this course.

Spring 2007

Dr. P. Catalano
5 credits
Lectures. Two 2-hour sessions each week.

A course in computing algorithms useful in statistical research and advanced statistical applications. Topics include computer arithmetic, matrix algebra, numerical optimization ethods with application to maximum likelihood estimation and GEEs, spline smoothing and penalized likelihood, numerical integration, random number generation and simulation methods, Gibbs sampling, bootstrap methods, missing data problems and EM, imputation, data augmentation algorithms, and Fourier transforms. Students should be proficient with C or Fortran programming.
Course Note: BIO235, or signature of instructor required; cross-listed, HSPH student must register for HSPH course. (5.06)

Course evaluations are an important method for feedback on the quality of course offerings. The submission of a course evaluation is a requirement for this course. Your grade for the course will be made available only after you have submitted responses to at least the first three questions of the on-line evaluation for this course.

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