Tapabrata Maiti - Overview

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ACC 822 - Information Systems Project Management

Management of information system projects. Management of project scope, time, cost and quality. Optimization of project resources. Planning and control of projects. Program and portfolio management. Consulting issues for effective project management. Waterfall, lean and agile methodologies are discussed.

Average Grade - 3.803
Median Grade - 4.0
160 total students

Latest grades from Spring 2015

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STT 801 - Design of Experiments

Blocking and randomization. Split-plot, latin square and factorial designs. Fractional factorial designs, aliasing and confounding of effects. Mixture and central composite designs and response surface exploration. Clinical trials.

Average Grade - 3.672
Median Grade - 4.0
102 total students

Latest grades from Fall 2019

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STT 805 - Statistical Modeling for Business Analytics

Low dimensional data visualization. Simple linear regression. Regression diagnostics. Analysis of variance. Multiple linear regression. Regression model building. Variable selection. Categorical data. Logistic regression. Proportional odds model. Introduction to time series.

Average Grade - 3.597
Median Grade - 3.5
155 total students

Latest grades from Summer 2020

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STT 863 - Statistical Methods I

Introduction to the general theory of linear models. Application of regression models. Interval estimation, prediction and hypothesis testing. Contrasts; model diagnostics; model selection. LASSO type and high dimensional variable selection. Introduction to Linear mixed effect models.

Average Grade - 3.639
Median Grade - 3.5
259 total students

Latest grades from Fall 2022

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STT 864 - Statistical Methods II

Generalized linear models(GLMs). Deviance and residual analysis in GLMs. Analysis of two-way and three-way contingency tables. Logistic regression. Log-linear models. Multicategorical response models. Poisson regression. Introduction to generalized estimating equations. Introduction to longitudinal data. Bayesian analysis using WinBUGS.

Average Grade - 3.704
Median Grade - 4.0
27 total students

Latest grades from Spring 2012

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STT 867 - Linear Model Methodology

Properties of the multivariate normal distribution, Cochran's Theorem, simple and multiple linear regression models, Gauss-Markov Theorem, best linear unbiased prediction, one- and two-way ANOVA models, sums of squares, diagnostics and model selection, contingency tables and multinomial models, generalized linear models, logistic regression.

Average Grade - 3.705
Median Grade - 4.0
22 total students

Latest grades from Fall 2022

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STT 874 - Introduction to Bayesian Analysis

Bayesian methods including empirical Bayes, hierarchical Bayes and nonparametric Bayes, computational methods for Bayesian inference including the Gibbs Sampler and Metropolis-Hastings method, and applications.

Average Grade - 3.617
Median Grade - 3.5
31 total students

Latest grades from Fall 2016

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