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Articles 181 - 210 of 412
Full-Text Articles in Computer Sciences
Lessons Learned From A District-Wide Implementation Of A Computer Science Initiative In The District Of Columbia Public Schools, Kenneth Alonzo Anderson, Legand L. Burge Iii, Troy J. Shine, Marlon Mejias, Ketly Jean-Pierre
Lessons Learned From A District-Wide Implementation Of A Computer Science Initiative In The District Of Columbia Public Schools, Kenneth Alonzo Anderson, Legand L. Burge Iii, Troy J. Shine, Marlon Mejias, Ketly Jean-Pierre
Journal of Computer Science Integration
In this article, we use evidence to describe seven key lessons from a four-year district-wide computer science implementation project between Howard University and the District of Columbia Public Schools. These lessons are: (a) Get to know the school counselors (and other key personnel); (b) Expect personnel changes and strategic reorganization within school districts; (c) Be innovative to build and maintain community; (d) Be flexible when developing instruments and curricula; (e) Maintain a firm commitment to equity; (f) Develop tiered content and prepare to make philosophical adjustments; and (g) Identify markers of sustainability. We also include original curricula materials including the …
Computational Thinking And Literacy, Sharin Rawhiya Jacob, Mark Warschauer
Computational Thinking And Literacy, Sharin Rawhiya Jacob, Mark Warschauer
Journal of Computer Science Integration
Today’s students will enter a workforce that is powerfully shaped by computing. To be successful in a changing economy, students must learn to think algorithmically and computationally, to solve problems with varying levels of abstraction. These computational thinking skills have become so integrated into social function as to represent fundamental literacies. However, computer science has not been widely taught in K-12 schools. Efforts to create computer science standards and frameworks have yet to make their way into mandated course requirements. Despite a plethora of research on digital literacies, research on the role of computational thinking in the literature is sparse. …
Zero Textbook Cost Syllabus For Cis 2200h (Introduction To Information Systems And Technologies), Curtis Izen
Zero Textbook Cost Syllabus For Cis 2200h (Introduction To Information Systems And Technologies), Curtis Izen
Open Educational Resources
This course introduces students to information systems in business. Due to the rapid developments in Information Technology (IT) and the dramatic changes brought by these new technologies in the way companies operate, compete and do business, familiarity with information systems has become indispensable for the leaders of today and tomorrow's organizations.
Perception & Perspective: An Analysis Of Discourse And Situational Factors In Reference Frame Selection, Robert J. Ross, Kavita E. Thomas
Perception & Perspective: An Analysis Of Discourse And Situational Factors In Reference Frame Selection, Robert J. Ross, Kavita E. Thomas
Conference papers
To integrate perception into dialogue, it is necessary to bind spatial language descriptions to reference frame use. To this end, we present an analysis of discourse and situational factors that may influence reference frame choice in dialogues. We show that factors including spatial orientation, task, self and other alignment, and dyad have an influence on reference frame use. We further show that a computational model to estimate reference frame based on these features provides results greater than both random and greedy reference frame selection strategies.
Effects Of Dynamic Goals On Agent Performance, Nathan R. Ball
Effects Of Dynamic Goals On Agent Performance, Nathan R. Ball
Theses and Dissertations
Autonomous systems are increasingly being used for complex tasks in dynamic environments. Robust automation needs to be able to establish its current goal and determine when the goal has changed. In human-machine teams autonomous goal detection is an important component of maintaining shared situational awareness between both parties. This research investigates how different categories of goals affect autonomous change detection in a dynamic environment. In order to accomplish this goal, a set of autonomous agents were developed to perform within an environment with multiple possible goals. The agents perform the environmental task while monitoring for goal changes. The experiment tests …
Code4her Spring 2018, Rebeccah Knoop
Code4her Spring 2018, Rebeccah Knoop
Honors Projects
CODE4her is a mentorship program with a goal of sparking interest in computer science organized by the BGSU Women in Computing (BGWIC) student organization. Participation is open to middle school girls (grades 5-8), and participants are paired with BGWIC members who serve as mentors.
Budgeting In Student Life: An Educational Website, Heather Grunden
Budgeting In Student Life: An Educational Website, Heather Grunden
Honors Projects
An applied honors project in the form of a website prototype. The purpose of this website is to introduce college students to the concept of budgeting and to teach them the core steps of creating their own budget, since many existing budgeting applications are pay-to-use, and the free options tend to have little to no instruction.
Modular Scheduling System For Westside School District, Tyler Bienhoff
Modular Scheduling System For Westside School District, Tyler Bienhoff
Honors Program: Senior Projects (Public)
Westside School district offers a modular scheduling system for their high school that is more similar to a college schedule than the typical high school system. Due to the complexity of their master schedule each semester, there are no commercially available products that can assist in creating a schedule. Hence, this thesis discusses a scheduling algorithm and management system that was built specifically for Westside High School with the potential to be expanded for use by other interested schools. The first part of the paper is focused on gathering input from students and faculty for which courses and how many …
Feature Detection In Medical Images Using Deep Learning, Anthony Pasquarelli
Feature Detection In Medical Images Using Deep Learning, Anthony Pasquarelli
Honors Projects in Information Systems and Analytics
This project explores the use of deep learning to predict age based on pediatric hand X-Rays. Data from the Radiological Society of North America’s pediatric bone age challenge were used to train and evaluate a convolutional neural network. The project used InceptionV3, a CNN developed by Google, that was pre-trained on ImageNet, a popular online image dataset. Our fine-tuned version of InceptionV3 yielded an average error of less than 10 months between predicted and actual age. This project shows the effectiveness of deep learning in analyzing medical images and the potential for even greater improvements in the future. In addition …
The Algorithmic Composition Of Classical Music Through Data Mining, Tom Donald Richmond, Imad Rahal
The Algorithmic Composition Of Classical Music Through Data Mining, Tom Donald Richmond, Imad Rahal
All College Thesis Program, 2016-2019
The desire to teach a computer how to algorithmically compose music has been a topic in the world of computer science since the 1950’s, with roots of computer-less algorithmic composition dating back to Mozart himself. One limitation of algorithmically composing music has been the difficulty of eliminating the human intervention required to achieve a musically homogeneous composition. We attempt to remedy this issue by teaching a computer how the rules of composition differ between the six distinct eras of classical music by having it examine a dataset of musical scores, rather than explicitly telling the computer the formal rules of …
Csc 59940: Topics In Front End Web Application Development (Syllabus), David Moon, Michelle Shu, Nyc Tech-In-Residence Corps
Csc 59940: Topics In Front End Web Application Development (Syllabus), David Moon, Michelle Shu, Nyc Tech-In-Residence Corps
Open Educational Resources
Syllabus for the course "CSC 59940 - Front-End Web Application Development" delivered at the City College of New York in Spring 2018 by Michelle Shu and David Moon as part of the Tech-in-Residence Corps program.
Csci 49900 Advanced Applications: A Capstone Course For Csci Majors, Alejandro Gonzalez Sole, Jesse Greenberg, James Lin, Sabeena Lalwani, Sean Laude, Sid Wighe, Nyc Tech-In-Residence Corps
Csci 49900 Advanced Applications: A Capstone Course For Csci Majors, Alejandro Gonzalez Sole, Jesse Greenberg, James Lin, Sabeena Lalwani, Sean Laude, Sid Wighe, Nyc Tech-In-Residence Corps
Open Educational Resources
No abstract provided.
The Big Revolution: Future Potential Of Blockchain Technology, Sweksha Poudel, Sushant Bhatta, Jeremy Evert
The Big Revolution: Future Potential Of Blockchain Technology, Sweksha Poudel, Sushant Bhatta, Jeremy Evert
Student Research
Blockchain is the continuation of humanity’s connection with technology. If we think back to a more ancient era, trade was done in a very informal manner. Often the result of one’s desire to get what they wanted was with violence. Society as a whole then started becoming more formalized and grew in complexity. Institutions like banks and governments established currency, policy, and regulation. Eventually, we had access to these same institutions on the internet and the list grew exponentially. Marketplaces like Amazon and eBay made trade much easier for the common man to use and it kept lowering uncertainties of …
Deep Learning Of 2-D Images Representing N-D Data In General Line Coordinates, Dmytro Dovhalets, Boris Kovalerchuk, Szilárd Vajda, Răzvan Andonie
Deep Learning Of 2-D Images Representing N-D Data In General Line Coordinates, Dmytro Dovhalets, Boris Kovalerchuk, Szilárd Vajda, Răzvan Andonie
Computer Science Faculty Scholarship
While knowledge discovery and n-D data visualization procedures are often efficient, the loss of information, occlusion, and clutter continue to be a challenge. General Line Coordinates (GLC) is a rather new technique to deal with such artifacts. GLC-Linear, which is one of the methods in GLC, allows transforming n-D numerical data to their visual representation as polylines losslessly. The method proposed in this paper uses these 2-D visual representations as input to Convolutional Neural Network (CNN) classifiers. The obtained classification accuracies are close to the ones obtained by other machine learning algorithms. The main benefit of the method is the …
Exploring How Integrating Art & Animation In Teaching Text-Based Programming Affects High School Students' Interest In Computer Science, Hadeel Mohammed Jawad
Exploring How Integrating Art & Animation In Teaching Text-Based Programming Affects High School Students' Interest In Computer Science, Hadeel Mohammed Jawad
Master's Theses and Doctoral Dissertations
As oil is the fuel of the industrial society, software is the fuel of our current information society. According to the Bureau of Labor Statistics, there will be more demand for computing jobs in the future. By 2024, more than one million computing jobs will be available. Statistics show that there is more demand for computing jobs than there is a supply of qualified graduates from universities. In this experimental study, three groups of high school students were targeted to explore how integrating art, animation, and code sharing into programming affects their interest in pursuing a degree in computer science …
Access Granted: A Study Of The Factors Affecting The Development Of Technology Literacy In Black Males, Carlton Bernard Bell
Access Granted: A Study Of The Factors Affecting The Development Of Technology Literacy In Black Males, Carlton Bernard Bell
Master's Theses and Doctoral Dissertations
One of the most urgent challenges of the digital divide is the need to expand technology literacy. Access to technology was believed to be one of the causes for the discrepancy that exists, but there is a deeper divide: the divide that exists between technology literacy, and career readiness. Although access to technology has improved over time, the educational outcomes for Black males in related fields have not. A critical area of concern is the lack of a Black male professional presence in technology fields, which has serious implications for the future of our society. These implications include a less …
The Rock 2018, School Of Engineering And Computer Science
The Rock 2018, School Of Engineering And Computer Science
The Rock
No abstract provided.
Cis 4400 Data Warehousing For Analytics, Royce Kok, Nyc Tech-In-Residence Corps
Cis 4400 Data Warehousing For Analytics, Royce Kok, Nyc Tech-In-Residence Corps
Open Educational Resources
No abstract provided.
Artificial Intelligence And It Professionals, Sunil Mithas, Thomas Kude, Jonathan W. Whitaker
Artificial Intelligence And It Professionals, Sunil Mithas, Thomas Kude, Jonathan W. Whitaker
Management Faculty Publications
How will continuing developments in artificial intelligence (AI) and machine learning influence IT professionals? This article approaches this question by identifying the factors that influence the demand for software developers and IT professionals, describing how these factors relate to AI, and articulating the likely impact on IT professionals.
Intersection Of Art And Science Ii, Petronio Bendito, Tim Korb
Intersection Of Art And Science Ii, Petronio Bendito, Tim Korb
Lawson Building Exhibitions on the Intersection of Art and Science
The Intersection of Art and Science exhibition is an interdisciplinary educational project that examines a wide range of expressive approaches explored by international artists working at the intersection of art, mathematics, computer science, and technology. It is a joint collaboration between the Department of Computer Science and the Patti and Rusty Rueff School of Visual and Performing Arts at Purdue University. Featured artists: Manuel Baez, Sarah Berube, Robert Bosch, Sage Jenson, Jean-Marc Castera, Marc Chamberland, Marion Chamberland, Laura De Decker, Bathsheba Grossman, Colin Liotta, Vincent J. Matsko, Kerry Mitchell, Janna Schimka, Rolf Schmuck, and Markus Schwehm. The exhibition was curated …
A Twitter-Based Study For Understanding Public Reaction On Zika Virus, Roopteja Muppalla
A Twitter-Based Study For Understanding Public Reaction On Zika Virus, Roopteja Muppalla
Browse all Theses and Dissertations
In recent times, social media platforms like Twitter have become more popular and people have become more interactive and responsive than before. People often react to every news in real-time and within no-time, the information spreads rapidly. Even with viral diseases like Zika, people tend to share their opinions and concerns on social media. This can be leveraged by the health officials to track the disease in real-time thereby reducing the time lag due to traditional surveys. A faster and accurate detection of the disease can allow health officials to understand people's opinion of the disease and take necessary precautions …
The Public’S Perception Of Humanlike Robots: Online Social Commentary Reflects An Appearance-Based Uncanny Valley, A General Fear Of A “Technology Takeover”, And The Unabashed Sexualization Of Female-Gendered Robots, Megan K. Strait, Cynthia Aguillon, Virginia Contreras, Noemi Garcia
The Public’S Perception Of Humanlike Robots: Online Social Commentary Reflects An Appearance-Based Uncanny Valley, A General Fear Of A “Technology Takeover”, And The Unabashed Sexualization Of Female-Gendered Robots, Megan K. Strait, Cynthia Aguillon, Virginia Contreras, Noemi Garcia
Computer Science Faculty Publications
Towards understanding the public’s perception of humanlike robots, we examined commentary on 24 YouTube videos depicting social robots ranging in human similarity – from Honda’s Asimo to Hiroshi Ishiguro’s Geminoids. In particular, we investigated how people have responded to the emergence of highly humanlike robots (e.g., Bina48) in contrast to those with more prototypically-“robotic” appearances (e.g., Asimo), coding the frequency at which the uncanny valley versus fears of replacement and/or a “technology takeover” arise in online discourse based on the robot’s appearance. Here we found that, consistent with Masahiro Mori’s theory of the uncanny valley, people’s commentary reflected an aversion …
Zero Textbook Cost Syllabus For Cis 3367 (Spreadsheet Applications In Business), Soniya Dsouza
Zero Textbook Cost Syllabus For Cis 3367 (Spreadsheet Applications In Business), Soniya Dsouza
Open Educational Resources
The primary focus of this course is to learn how to construct and use powerful spreadsheets for effective managerial decision-making. This course is mostly project- oriented with a dual focus on spreadsheet engineering and quantitative modeling of financial applications. Students will learn to develop powerful spreadsheet models and perform data analysis using Pivot Tables, VLookUp, Data Validation techniques and Sub Total functions. Students will also learn how to enhance spreadsheets by creating dashboards on financial data. The Visual Basic (macro) concepts will also be introduced to students. With the knowledge and hands-on experience of these concepts, students will be prepared …
Viral Marketing For Smart Cities: Influencers In Social Network Communities, Madhura Kaple, Ketki Kulkarni, Katerina Potika
Viral Marketing For Smart Cities: Influencers In Social Network Communities, Madhura Kaple, Ketki Kulkarni, Katerina Potika
Faculty Publications, Computer Science
Social networks are used by cities primarily for announcing local-area events, but also for increasing engagement of citizens in votes and elections. Given the current plethora of heterogeneous social networks, city administrators can benefit from social networks to promote initiatives, which are important to a current smart city as well use them to discover future needs in order to manage resources more efficiently. Our focus in this paper is how we can adapt commercial and viral marketing techniques to smart city systems to influence the behavior, opinion and choices of citizens in order to improve their well being and that …
Who Will Leave The Company?: A Large-Scale Industry Study Of Developer Turnover By Mining Monthly Work Report, Lingfeng Bao, Zhenchang Xing, Xin Xia, David Lo, Shanping Li
Who Will Leave The Company?: A Large-Scale Industry Study Of Developer Turnover By Mining Monthly Work Report, Lingfeng Bao, Zhenchang Xing, Xin Xia, David Lo, Shanping Li
Research Collection School Of Computing and Information Systems
Software developer turnover has become a big challenge for information technology (IT) companies. The departure of key software developers might cause big loss to an IT company since they also depart with important business knowledge and critical technical skills. Understanding developer turnover is very important for IT companies to retain talented developers and reduce the loss due to developers' departure. Previous studies mainly perform qualitative observations or simple statistical analysis of developers' activity data to understand developer turnover. In this paper, we investigate whether we can predict the turnover of software developers in non-open source companies by automatically analyzing monthly …
Pop-Up Java: An Augmented Reality Mobile Game To Teach Java, Richard Myers
Pop-Up Java: An Augmented Reality Mobile Game To Teach Java, Richard Myers
Georgia Undergraduate Research Conference
As computers become more and more ubiquitous, it becomes increasingly important and prevalent to teach coding. Coding builds important life skills such as organization, higher order thinking, self-esteem, socialization and teamwork, among many others. However, learning the skills necessary to design and create an efficient program from scratch takes a lot of practice that can often be confusing and frustrating to newcomers.
There are a large number of programming languages in the world, each with their own merits. The TIOBE Programming Community Index calculates the popularity of programming languages by tallying search queries on major search engines, and shows that …
Visualization Of Carbon Monoxide Particles Released From Firearms, Sadan Suneesh Menon
Visualization Of Carbon Monoxide Particles Released From Firearms, Sadan Suneesh Menon
Browse all Theses and Dissertations
A number of soldiers have come forward to report discomfort, irritation and respiratory problems after taking part in a live firing session. These problems are caused due to the fumes and particulates emitted from the gun upon firing. There exists substantial research work focused on lead and other harmful metallic particulates expelled from a firearm, since they are the most harmful among the other emissions. However, our research focuses on visualizing the carbon monoxide (CO) particles released from a firearm in order to help understand adverse effects they may have on the human body. We use data provided by researchers …
Panel: Influencing Culture And Curriculum Via Revolution, Amit Jain
Panel: Influencing Culture And Curriculum Via Revolution, Amit Jain
Computer Science Faculty Publications and Presentations
The goal of this panel session is to introduce audience members to the challenges and successes of significant cultural and curricular change as enacted by awardees in the NSF program Revolutionizing Engineering and Computer Science Departments (RED). This panel will explore how organizations go about the process of cultural investigation and how they embark on culture change, using RED awardees of 2016 as the featured panelists (the second cohort). These teams are engaged in high-risk, high-trust-required activities focused on both the organizational and operational structure of their departments, and on re-envisioning engineering and computer science curricula to create professionals able …
K-Mer Analysis Pipeline For Classification Of Dna Sequences From Metagenomic Samples, Russell Kaehler
K-Mer Analysis Pipeline For Classification Of Dna Sequences From Metagenomic Samples, Russell Kaehler
Graduate Student Theses, Dissertations, & Professional Papers
Biological sequence datasets are increasing at a prodigious rate. The volume of data in these datasets surpasses what is observed in many other fields of science. New developments wherein metagenomic DNA from complex bacterial communities is recovered and sequenced are producing a new kind of data known as metagenomic data, which is comprised of DNA fragments from many genomes. Developing a utility to analyze such metagenomic data and predict the sample class from which it originated has many possible implications for ecological and medical applications. Within this document is a description of a series of analytical techniques used to process …
The Rock 2017, School Of Engineering And Computer Science
The Rock 2017, School Of Engineering And Computer Science
The Rock
No abstract provided.