Computer Science and Engineering

Events and Information

student on computer in front of Russ Engineering Building

Events

Remote Visit

We are holding customized remote visits on Webex for undergraduate and graduate students interested in learning more about our degree programs. Let us know what questions you have and we will provide the answers to help you decide if you want to attend Wright State University in the future. 

You can choose to meet with:-

  • The department chair or associate chair 
  • A faculty member who works in a research area you are interested in
  • A CS 1180 or CS 1181 professor
  • An advisor 
  • A current student

 

Department Speaker Series

Friday, September 25, 2020 at 12pm

Designing Virtual Humans to Facilitate Learning: What Really Matters? by Noah Schroeder, PH.D.

Wright State University

Abstract: 
For the past 20 years, researchers have incorporated virtual characters, including human-like representations known as virtual humans, into learning environments aiming to facilitate learning. Recently, the field has been revitalized as technologies incorporating virtual humans have become more common in everyday life. Researchers now often examine how to most effectively design virtual humans for different contexts. One of these lines of research focuses on how virtual humans are perceived by learners. Theorists suggest that how we perceive these characters can influence the learning process, but it is not yet known which perceptions matter. Our recent experimental work has shown that the existing measures commonly used by researchers to evaluate the construct of "agent persona" are poor predictors of learning. This talk will focus on what virtual humans are, why they can be effective learning tools, and the findings of recent studies around the design of these systems.

Friday, October 16, 2020 at noon

Explainable Random Forests by Lucas Mentch, ph.d.

University of Pittsburgh

Abstract: 

Random forests remain among the most popular off-the-shelf supervised machine learning tools with a well-established track record of predictive accuracy in both regression and classification settings.  Despite their empirical success, a full and satisfying explanation for their success has yet to be put forth. In this talk, we will show that the additional randomness injected into individual trees serves as a form of implicit regularization, making random forests an ideal model in low signal-to-noise ratio (SNR) settings. From a model-complexity perspective, this means that the mtry parameter in random forests serves much the same purpose as the shrinkage penalty in explicit regularization procedures like the lasso.  Realizing this, we demonstrate that alternative forms of randomness can provide similarly beneficial stabilization.  In particular, we show that augmenting the feature space with additional features consisting of only random noise can substantially improve the predictive accuracy of the model.  This surprising fact has been largely overlooked in both the statistics and ML communities, but has crucial implications for thinking about how to objectively define and measure variable importance.  Numerous demonstrations on both real and synthetic data are provided.  

New Student Resources

See what we are doing to keep in contact during COVID-19. Join us on DISCORD with this link: Wright State Computer Science Department

Recommendations and websites to check out for a summer project: WSU-CSE-Resources on GitHub

Scholarships

Choose Ohio First Scholarship

Mini-Lecture Series Summer 2020 

Introduction to the 2020 Mini-Lecture Series

Machine Learning & Big Data

Machine Learning & Big Data

Slides for Machine Learning & Big Data Mini- Lecture

Why P@55w0rd! Is Not a Good Password

Why P@55w0rd! Is Not a Good Password

Slides for Why P@55w0rd Is Not a Good Password Mini-Lecture

Digital Design

Digital Design

Slides for Digital Design Mini-Lecture

Cyber Security is Everyone's Responsibility

Cyber Security is Everyone's Responsibility

Getting Started with Python

Getting Started with Python

Introduction to Visualization Using XR Display Systems

Introduction to Visualization Using XR Display Systems

Smart Health: Machine Learning in Healthcare

Smart Health: Machine Learning in Healthcare

How to Succeed in College in a Technical Major

How to Succeed in College in a Technical Major

Take the Next Step

Finding the right college means finding the right fit. See all that the College of Engineering and Computer Science has to offer by visiting campus.