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Paul Harrison Speaker (Instructor) - Grade Details

(with breakdown by course)


Paul Harrison Speaker - All Courses

Average Grade - 3.621
Median Grade - 4.0
1080 total students

Latest grades from Spring 2024

Paul Harrison Speaker - Overview

Course Number Grade Info Latest Grade Data
MTH 314 Average Grade - 3.638
Median Grade - 4.0
Spring 2021
STT 351 Average Grade - 3.516
Median Grade - 4.0
Fall 2021
STT 380 Average Grade - 3.271
Median Grade - 3.5
Fall 2022
STT 810 Average Grade - 3.638
Median Grade - 4.0
Fall 2023
STT 890 Average Grade - 3.810
Median Grade - 4.0
Spring 2024
STT 180 Average Grade - 3.774
Median Grade - 4.0
Spring 2021
STT 461 Average Grade - 3.854
Median Grade - 4.0
Spring 2023
STT 811 Average Grade - 3.912
Median Grade - 4.0
Spring 2024
STT 812 Average Grade - 4.000
Median Grade - 4.0
Spring 2024

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MTH 314 - Matrix Algebra with Computational Applications

Numerical methods in linear algebra with applications to systems of equations and eigenvalue problems, and geometry.

Average Grade - 3.638
Median Grade - 4.0
109 total students

Latest grades from Spring 2021

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STT 180 - Introduction to Data Science

Pervasiveness and utility of data in modern society. Obtaining and managing data. Summarizing and visualizing data. Ethical issues in data science. Communication with data. Fundamentals of probability and statistics.

Average Grade - 3.774
Median Grade - 4.0
56 total students

Latest grades from Spring 2021

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STT 351 - Probability and Statistics for Engineering

Probability models and random variables. Estimation, confidence intervals, tests of hypotheses, simple linear regression. Applications to engineering.

Average Grade - 3.516
Median Grade - 4.0
401 total students

Latest grades from Fall 2021

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STT 380 - Probability and Statistics for Data Science

Fundamental concepts and methods in probability and statistics from a data science perspective.

Average Grade - 3.271
Median Grade - 3.5
120 total students

Latest grades from Fall 2022

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STT 461 - Computations in Probability and Statistics

Computer algorithms for evaluation, simulation and visualization. Sampling and prescribed distributions. Robustness and error analysis of procedures used by statistical packages. Graphics for data display, computation of probabilities and percentiles.

Average Grade - 3.854
Median Grade - 4.0
125 total students

Latest grades from Spring 2023

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STT 810 - Mathematical Statistics for Data Scientists

Random variables. Probability distributions. Transformation of variables. Maximum likelihood estimation. Interval estimation. Hypothesis testing.

Average Grade - 3.638
Median Grade - 4.0
94 total students

Latest grades from Fall 2023

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STT 811 - Applied Statistical Modeling for Data Scientists

Data Visualization. Linear regression. Analysis of variance. Logistic regression. Generalized linear models. Variable selection. Categorical data analysis. Models for design of experiments. Models for time series data.

Average Grade - 3.912
Median Grade - 4.0
97 total students

Latest grades from Spring 2024

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STT 812 - Statistical Learning and Data Analysis

Low dimensional data visualization. Linear Regression. Binary Regression. Linear discriminant analysis. Probabilistic classification. Model selection via regularization. LASSO. Non-parametric smoothing. CART. MART. Support vector machine. Neural network. Clustering. Random forest.

Average Grade - 4.000
Median Grade - 4.0
13 total students

Latest grades from Spring 2024

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STT 890 - Statistical Problems

Individualized study on selected problems.

Average Grade - 3.810
Median Grade - 4.0
65 total students

Latest grades from Spring 2024

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