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Lisa Over
Welcome! Thank you for your interest in my resume and portfolio.
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Posts
portfolio
Data Governance Health Status Checks
Published:
This collaborative project involved contextual design research and the development of user-centered procedures and tools for the City of Pittsburgh’s Data Governance Health Status Checks.
Digital Humanities Topic Modeling
Published:
The high-level goal of this exploratory, unsupervised learning project was to investigate which topics are present within the humanities digital collection, and how those topics vary over time.
Life During COVID-19 Application Profile and Metadata Schema
Published:
A collaborative project to create a Metadata Schema Application Profile. The Life During COVID-19 is an XML Schema application profile for describing a collection of internet-based media and datasets that reflect American reactions and outcomes related to the COVID-19 pandemic of 2019-2020.
Census Tracts and Relationship Files
Published:
This Census project explains the Allegheny County 2000-2010 Census Tract Relationship File and shows how the 2010 Census tracts in Allegheny County, Pennsylvania relate to the 2000 Census tracts.
Losing Schools to the Economic Chasm
Published:
For my thesis for the Computational Mathematics program at Duquesne, I examined the amount of variance in the new Pennsylvania school performance data that is explained by IRS-based income values.
Dictation Tutor
Published:
A collaborative project to create a java application to enable English language learners to practice writing from oral prompts in preparation for the written portion of the citizenship test.
Boggle Game
Published:
A collaborative project to create a servlet version of Boggle, which implements the MVC design pattern using a Java servlet as controller, a Java Beans class for the data model, and the XML version of JSP (jspx) to generate the views.
publications
talks
teaching
Math 125 Fundamentals of Statistics
Undergraduate course, Duquesne University, Department of Mathematics and Computer Science, 2015
Fundamentals of Statistics is a survey course in exploratory data analysis and statistical inference including graphical summaries of data, sampling distributions, confidence intervals, and hypothesis testing. Students engaged with these topics through hands-on activities and projects.
QSIS 285 Business Statistics
Undergraduate course, Duquesne University, Palumbo-Donahue School of Business, 2018
In Business Statistics, students select and apply appropriate statistical tools and methods to answer questions, solve problems, and make informed, evidence-based decisions. Course topics include descriptive statistics (visual descriptions and summaries of the data using graphs and tables), inferential statistics (hypothesis testing using the normal, t, F, and chi-square distributions), and regression analysis (simple linear and multiple linear regression). Students engaged with these topics through hands-on activities, simulations, and projects.
UCOR 111 Problem Solving
Undergraduate course, Duquense University, Department of Mathematics and Computer Science, 2018
Problem solving involves gathering and organizing information about a problem and planning steps that will lead to a solution to the problem. Steps in the problem solving process can be very different from one problem to the next. The goal of this class was for students to design the gathering, organizing, and planning process for a variety of problems both in collaboration with others and on their own. To help students reach this goal, they practiced many techniques and strategies from statistics and probability, number theory, general mathematical laws, logic, Venn diagrams, and graph theory. In some cases, students generalized solutions to construct mathematical formulas.