Teaching

Classes, talks, workshops, and outreach

Teaching

Probability and Statistics

Spring 2022: Graduate Teaching Assistant

STAT 3337 is an intermediate undergraduate course. Topics include probability, random variables, discrete, and continuous probability distributions, expectations, moments, and moment generating functions, functions of random variables and limiting distributions. I mentored groups of students working on class projects, held recitations, created and graded homeworks and exams.

Applied Statistics

Spring 2022: Graduate Teaching Assistant

STAT 3301 is an intermediate undergraduate course. This course concerns itself with probabilistic models, regression analysis, nonparametric statistics, and the basics of experimental design. Computer laboratory experience will be an important part of the class.

Elementary Statistical Methods

Spring 2022: Instructor

MATH 1342 is a elementary statistical method course teaching an elementary overview of the nature and uses of descriptive statistics, inferential statistics, and probability. Also, topics include statistical graphs, measures of central tendency and dispersion, linear regression, empirical and theoretical concepts of probability, the Central Limit Theorem, interval estimation, and hypothesis testing. I co-organized, designed, and taught the course, held regular office hours, and designed and graded homework and final exam.

Talks

Fundamental of Satellite Remote Sensing

North South University, Bangladesh, October 2020.

Data Science and Machine Learning to Tackle Societal Challenges

SPIE Student Chapter Seminar, University of Texas RGV, USA, August 2020.