Courses Taught by Irina Gaynanova
BIOSTAT601: Probability And Inference I
- Graduate level
- Residential
- Fall term(s) for residential students;
- 4 credit hour(s) for residential students;
- Instructor(s): Irina Gaynanova (Residential);
- Prerequisites: Three terms of calculus, including multivariable calculus. Department permission required for undergraduate enrollment
- Undergraduates are allowed to enroll in this course.
- Description: Probability and statistical inference necessary for applied statistical methods, including properties of continuous and discrete distributions, likelihood theory, hypothesis testing and asymptotics.
- Learning Objectives: this is not a new course
- Syllabus for BIOSTAT601
| Department | Program | Degree | Competency | Specific course(s) that allow assessment | BIOSTAT | MS | Apply the theoretical foundations of probability theory and distribution theory | BIOSTAT601 |
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BIOSTAT690: Health Applications of Multivariate Analysis
- Graduate level
- Residential
- Fall term(s) for residential students;
- 3 credit hour(s) for residential students;
- Instructor(s): Irina Gaynanova (Residential);
- Prerequisites: Biostat 650 and Biostat 651 and Math 417 or Perm. Instr.
- Description: Techniques of multivariate analysis related to health and biomedical problems. Emphasis on computational techniques and programs with health examples. Tests of significance for one, two or more populations; general linear model; multivariate analyses of variances and covariances; correlation procedures; principal components and discriminant analyses.
- Syllabus for BIOSTAT690