M.S. in Statistics, Biostatistics and Informatics, (University of Dhaka)
B.S. in Statistics, Biostatistics and Informatics, (University of Dhaka)

F. M. Arifur Rahman is a graduate in Statistics with a strong interest in data science, computational modeling, and interdisciplinary research.

• Senior Lecturer
  Department of Mathematics & Data Science (formerly, Department of Mathematical & Physical Sciences),
  East West University, Dhaka, Bangladesh
  March, 2019- Present
  
  
• Lecturer
  Department of Mathematics & Data Science (formerly, Department of Mathematical & Physical Sciences),
  East West University, Dhaka, Bangladesh
  October, 2018- February, 2019
  
  
• Lecturer
  Department of Applied Statistics, East West University, Dhaka, Bangladesh
  January, 2016- September, 2018
  
  
• Lecturer, Statistics
  Center for Research Innovation & Transformation (CRIT)
  Green University of Bangladesh, Dhaka, Bangladesh
  September, 2014- December, 2015
  
  
• Graduate Teaching Assistant (GTA)
  Department of Applied Statistics, East West University, Dhaka, Bangladesh
  May, 2014 – August, 2014

• Data Analytics
• Bioinformatics
• Machine Learning
• Big Data
• Programming & Simulation

Courses taught at EWU

AST-102 (Elements of Probability): Basic probability theories and laws, probability distribution (joint, marginal & conditional), generating functions

AST-207 (Applied Statistical Analysis with R): Basic R operations, data types, loops, functions, use of R in statistical data analysis and graphs. 

AST-308 (Statistical Analysis using SPSS and SAS): Data manipulation, some statistical analyses and graphs using SPSS and SAS

AST-401 (Advanced Probability and Stochastic Process): Markov Chain, Poisson Process

AST-404 (Survival Analysis): Basic terms and functions, right censoring, KM & NA estimates, parametric estimations for different distributions, AFT & CoxPH regression

AST-407 (Introduction to Generalized Linear Models): Introduction, estimation techniques, deviance, test of hypothesis

AST-409 (Bayesian Inference and Decision Theory): Bayesian inference & MCMC, Basic robust statistics

AST-501 (Survey Methods): Basic sampling techniques, sampling weights

AST-502 (Advanced Regression Analysis): Simple & multiple linear regression, model selection, multicollinearity

MAT101 (Differential & Integral Calculus): Functions & limits, different differentiation and integration techniques and their uses

STA102 (Statistics & Probability): Comprehensive course for engineering students at undergraduate level- Basic Statistics, simple & multiple linear regression, probability theory and distribution, Markov process, test of hypothesis

STA208 (Statistics for Biologists): Comprehensive course for Genetic Engineering students at undergraduate level- Basic Statistics, simple & multiple linear regression, probability theory and distribution, Markov process, test of hypothesis

MAT101 (Differential & Integral Calculus): (3 credits)

Demonstration links:

• Functions & graphs
• New functions from old functions
• Differentiation
• Integration

• Member of Dhaka University Statistics Department Alumni Association (DUSDAA)