Syllabus: Biostatistics
This course covers some of the basic and intermediate statistical methods and principles necessary for the analysis and interpretation of biological data.
Descriptive statistics (central tendency and variance); analysis of univariate and multivariate data; probability density and distribution functions; hypothesis testing and group comparison (parametric and nonparametric tests); Experimental design; Linear models and Generalized linear models; types of random data, Fourier transform and its application in image analysis, spectral and correlation analysis; random error estimates in data measurements. P-values, multiple hypothesis testing and limitations; power and sample size calculation.
Instructors: Mahesh Sankaran, Sabarinathan Radhakrishnan, Tapomoy Bhattacharjee
Schedule: Tuesday and Thursday 2 to 3:30 Pm
Venue: SAFEDA
- Teacher: Tapomoy Bhattacharjee
- Teacher: Sabarinathan Radhakrishnan
- Teacher: Mahesh Sankaran