Rebecca Faust

Rebecca Faust

I am an assistant professor at Tulane University. My research interests include incorporating interactive visualization into data science analyses to increase understandability of the results and the analyses themselves.

Posts by Collection

courses

CSc 245

Introduction to Discrete Structures

other

portfolio

Anteater: Interactive Visualization of Program Execution Values in Context

Anteater is an interactive visualization system for tracing and exploring the execution of a program. It alleviates the burden of manual instrumentation by automatically instrumenting source code to track the values that the user desires to inspect, along with the execution trace. Anteater presents the trace to users through various visualizations.

DimReader: Axis Lines that Explain Non-Linear Projections

DimReader is a technique that recovers readable axes from dimensionality reduction techniques. It analyzes infinitesimal perturbations of the dataset with respect to variables of interest. The recovered axes are in direct analogy with the axis lines (grid lines) of traditional scatterplots. DimReader also provides methods for discovering the perturbations on the input data that change the projection the most.

publications

syllabi

CSc 245 Syllabus

Syllabus

This is the syllabus for CSc 245: Introduction to Discrete Structures Summer 2020

talks

DimReader: Axis Lines that Explain Non-Linear Projections

Published:

In this talk, I present DimReader: Axis Lines that Explain Non-Linear Projections. DimReader is a technique that recovers readable axes from dimensionality reduction techniques by analyzing infinitesimal perturbations of the dataset with respect to variables of interest. This talk was presented at IEEE VIS 2018.

teaching

CSc 245: Introduction to Discrete Structures - Summer 2020

Undergraduate course, University of Arizona, Computer Science Department, 2020

An introduction to mathematical concepts for Computer Science. Topics include first-order logic and logical arguments, proof techniques with an emphasis on mathematical induction, sets, relations and functions, properties of integers, counting methods, probability, and recurrences.

CSc 245: Introduction to Discrete Structures - Summer 2021

Undergraduate course, University of Arizona, Computer Science Department, 2021

An introduction to mathematical concepts for Computer Science. Topics include first-order logic and logical arguments, proof techniques with an emphasis on mathematical induction, sets, relations and functions, properties of integers, counting methods, probability, and recurrences.

CMPS 3360/6360: Data Visualization - Spring 2024

Undergraduate/Graduate course, Tulane University, Computer Science Department, 2024

An introduction on how graphical representations of data can be used to aid understanding. This course details the theory and practice of designing effective information visualizations. The techniques learned in this class have wide applications to all fields in engineering and science, where due to increasing sizes and complexity, data now demands effective presentation and analysis. This course will cover the principles, methods, and techniques that are fundamental to information visualization.