Teaching

Semester	Role	Course
Fall 2022	Graduate TA	STSCI 2150:Introductory Statistics for Biology
Spring 2022	Graduate TA	STSCI 2150:Introductory Statistics for Biology
Fall 2021	Graduate TA	STSCI 2150:Introductory Statistics for Biology
Spring 2021	Graduate TA	STSCI 2150:Introductory Statistics for Biology
Fall 2020	Graduate TA	ORIE 3500: Engineering Probability and Statistics II
Spring 2020	Graduate TA	STSCI 2150:Introductory Statistics for Biology
Fall 2019	Graduate TA	STSCI 2150:Introductory Statistics for Biology
Spring 2018	Grader	BTRY 3090: Theory of Interest
Fall 2017	Grader	BTRY 3080: Probability Models and Inference

Course Description

[STSCI 2150]:Introductory Statistics for Biology

This course provides an introduction to data analysis using R and statistical inference illustrated with biological applications. The course covers concepts such as population vs sample, graphical display of data, numerical methods for summarizing and describing data, probability, expectation and variance, estimation, hypothesis testing such as goodness-of-fit tests, test of single proportions, analysis of variance (ANOVA), applications of various probability distributions such as normal, binomial and poisson distributions and simple/multiple linear regression.

[ORIE 3500]:Engineering Probability and Statistics II

The is a second course in probability for undergraduate students majoring in Operations Research and Information Engineering (ORIE).Probabilistic ideas are used to construct models for engineering problems, and statistical methods are used to test and estimate parameters for these models. Specific topics include random variables, probability distributions, density functions, expectation and variance, multidimensional random variables, and important distributions including normal, Poisson, exponential, hypothesis testing, confidence intervals, and point estimation using maximum likelihood and the method of moments.