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In The Beginning... A Legacy Of Computing At Marshall University, Jack L. Dickinson, Arnold R. Miller Ed.E 2019 Marshall University

In The Beginning... A Legacy Of Computing At Marshall University, Jack L. Dickinson, Arnold R. Miller Ed.E

Arnold R. Miller

This book provides a brief history of the early computing technology at Marshall University, Huntington, W.Va., in the forty years: 1959-1999. This was before the move to Intel and Windows based servers. After installation of an IBM Accounting Machine in 1959, which arguably does not fit the modern definition of a computer, the first true computer arrived in 1963 and was installed in a room below the Registrar’s office. For the next twenty years several departments ordered their own midrange standalone systems to fit their individual departmental requirements. These represented different platforms from different vendors, and were not ...


Teaching Young Learners Computational Thinking, Tingxuan Li, Shengwei An, Xuan Wang, Hengrong Du, Guanhong Tao 2019 Purdue University

Teaching Young Learners Computational Thinking, Tingxuan Li, Shengwei An, Xuan Wang, Hengrong Du, Guanhong Tao

Engagement & Service-Learning Summit: Connecting Through Listening & Scholarship

No abstract provided.


Use Of Exploratory Data Analysis And Visualization In Identification Of Commingled Human Remains, Vivek Bhat Hosmat 2019 University of Nebraska at Omaha

Use Of Exploratory Data Analysis And Visualization In Identification Of Commingled Human Remains, Vivek Bhat Hosmat

Student Research and Creative Activity Fair

The field of Exploratory data analysis and Visualization is revolutionizing the way we perceive things. At times, Visualization is seen as a subset of Exploratory data analysis and then there are branches in Visualization, types, technologies, tools which makes one feel that Visualization is a standalone pillar. Either way, they both work well together to extract meaningful information from almost any kind of data. These fields can very well be the stepping stone for in-depth or conclusive research. They can direct research based on facts and observations rather than one’s intuition or even a brute force technique. This project ...


Punch Cards To Python: A Case Study Of A Cs0 Core Course, Thomas Babbitt, Charles Schooler, Kyle King 2019 United States Military Academy

Punch Cards To Python: A Case Study Of A Cs0 Core Course, Thomas Babbitt, Charles Schooler, Kyle King

West Point Research Papers

There is an immense interest in teaching computer science concepts - and programming specifically - to everyone. The United States Military Academy at West Point has required every student, regardless of major, to pass a computer science zero (CS0) course for the last 50 years: From punch cards to Python. We present a history of our CS0 course and the lessons learned from the most recent redesign of the course. We review the last decade of student assessments and how they influenced the latest iteration.

We contrast the expectations of students in a CS0 course with those in a CS1 course. We ...


Cs04all: Cryptography Module, Hunter R. Johnson 2019 CUNY John Jay College

Cs04all: Cryptography Module, Hunter R. Johnson

Open Educational Resources

Cryptography module

This archive contains a series of lessons on cryptography suitable for use in a CS0 course. The only requirement is familiarity with Python, particularly dictionaries, lists, and file IO. It is also assumed that students know how to create stand-alone Python programs and interact with them through the terminal. Most of the work is done in Jupyter notebooks.

The material found in the notebooks is a combination of reading material, exercises, activities and assignments. Below are descriptions of each lesson or assignment and links to notebooks on Cocalc. The same files are available for batch download in this ...


Cs04all: List Comprehensions, Hunter R. Johnson 2019 CUNY John Jay College

Cs04all: List Comprehensions, Hunter R. Johnson

Open Educational Resources

List Comprehensions

This is a tutorial on list comprehensions in Python, suitable for use in an Intro or CS0 course. We also briefly mention set comprehensions and dictionary comprehensions.

https://cocalc.com/share/bde99afd-76c8-493d-9608-db9019bcd346/171/list_comprehensions?viewer=share/

This OER material was produced as a result of the CS04ALL CUNY OER project


Cs04all: Command Line Python, Hunter R. Johnson 2019 CUNY John Jay College

Cs04all: Command Line Python, Hunter R. Johnson

Open Educational Resources

Command Line Tutorial

Students are presented with information relating to stand alone Python programs, stdin, stdout, and command line arguments. This is a lab exercise. After completion students should be able to create executable Python programs which can accept input from stdin or command line arguments.

Please begin with the READ_ME file.

https://cocalc.com/share/bde99afd-76c8-493d-9608-db9019bcd346/171/stdin?viewer=share/

This OER material was produced as a result of the CS04ALL CUNY OER project


Cs04all: Natural Language Processing Project, Hunter R. Johnson 2019 CUNY John Jay College

Cs04all: Natural Language Processing Project, Hunter R. Johnson

Open Educational Resources

In this archive there are two activities/assignments suitable for use in a CS0 or Intro course which uses Python.

In the first activity, students are asked to "fill in the code" in a series of short programs that compute a similarity metric (cosine similarity) for text documents. This involves string tokenization, and frequency counting using Python string methods and datatypes.

https://cocalc.com/share/bde99afd-76c8-493d-9608-db9019bcd346/171/Proj1?viewer=share/

In the second activity (taken directly from Think Python 2e) students use a pronunciation dictionary to solve a riddle involving homophones.

https://cocalc.com/share/bde99afd-76c8-493d-9608-db9019bcd346/171/Dicts2?viewer=share ...


Extending Set Functors To Generalised Metric Spaces, Adriana Balan, Alexander Kurz, Jiří Velebil 2019 University Politehnica of Bucharest

Extending Set Functors To Generalised Metric Spaces, Adriana Balan, Alexander Kurz, Jiří Velebil

Mathematics, Physics, and Computer Science Faculty Articles and Research

For a commutative quantale V, the category V-cat can be perceived as a category of generalised metric spaces and non-expanding maps. We show that any type constructor T (formalised as an endofunctor on sets) can be extended in a canonical way to a type constructor TV on V-cat. The proof yields methods of explicitly calculating the extension in concrete examples, which cover well-known notions such as the Pompeiu-Hausdorff metric as well as new ones.

Conceptually, this allows us to to solve the same recursive domain equation X ≅ TX in different categories (such as sets and metric spaces) and we ...


Comparisons Of Performance Between Quantum And Classical Machine Learning, Christopher Havenstein, Damarcus Thomas, Swami Chandrasekaran 2019 Southern Methodist University

Comparisons Of Performance Between Quantum And Classical Machine Learning, Christopher Havenstein, Damarcus Thomas, Swami Chandrasekaran

SMU Data Science Review

In this paper, we present a performance comparison of machine learning algorithms executed on traditional and quantum computers. Quantum computing has potential of achieving incredible results for certain types of problems, and we explore if it can be applied to machine learning. First, we identified quantum machine learning algorithms with reproducible code and had classical machine learning counterparts. Then, we found relevant data sets with which we tested the comparable quantum and classical machine learning algorithm's performance. We evaluated performance with algorithm execution time and accuracy. We found that quantum variational support vector machines in some cases had higher ...


A Comparative Evaluation Of Recommender Systems For Hotel Reviews, Ryan Khaleghi, Kevin Cannon, Raghuram Srinivas 2019 Southern Methodist University

A Comparative Evaluation Of Recommender Systems For Hotel Reviews, Ryan Khaleghi, Kevin Cannon, Raghuram Srinivas

SMU Data Science Review

There has been increasing growth in deployment of recommender systems across Internet sites, with various models being used. These systems have been particularly valuable for review sites, as they seek to add value to the user experience to gain market share and to create new revenue streams through deals. Hotels are a prime target for this effort, as there is a large number for most destinations and a lot of differentiation between them. In this paper, we present an evaluation of two of the most popular methods for hotel review recommender systems: collaborative filtering and matrix factorization. The accuracy of ...


Predicting Post-Procedural Complications Using Neural Networks On Mimic-Iii Data, Namratha Mohan 2018 Louisiana State University and Agricultural and Mechanical College

Predicting Post-Procedural Complications Using Neural Networks On Mimic-Iii Data, Namratha Mohan

LSU Master's Theses

The primary focus of this paper is the creation of a Machine Learning based algorithm for the analysis of large health based data sets. Our input was extracted from MIMIC-III, a large Health Record database of more than 40,000 patients. The main question was to predict if a patient will have complications during certain specified procedures performed in the hospital. These events are denoted by the icd9 code 996 in the individuals' health record. The output of our predictive model is a binary variable which outputs the value 1 if the patient is diagnosed with the specific complication or ...


Proposing An Optimized Algorithm For Consolidating Electric-Powered Shared Scooters Into Hubs For Efficiently Managing Their Charging And Maintenance Operations, Ojen Goshtasb 2018 San Jose State University

Proposing An Optimized Algorithm For Consolidating Electric-Powered Shared Scooters Into Hubs For Efficiently Managing Their Charging And Maintenance Operations, Ojen Goshtasb

Master's Projects

The use of vehicles other than ones containing combustion engines have been adopted significantly over the past few years and the direction it’s taking seems to be the future of urban transportation. The hottest vehicle of choice currently is the electric scooter. They are small and portable, fast, and less costly compared to getting in a cab from Lyft or Uber to get around town. The goal of this paper is to make a proposal to drive the creation of a safe, efficient system for these scooters’ management. This must be beneficial to all parties involved; the rider, non-riders ...


Intra-Exchange Cryptocurrency Arbitrage Bot, Eric Han 2018 San Jose State University

Intra-Exchange Cryptocurrency Arbitrage Bot, Eric Han

Master's Projects

Cryptocurrencies are defined as a digital currency in which encryption techniques are utilized to regulate generation of units of currency and verify the transfer of funds, independent of a central governing body such as a bank. Due to the large number of cryptocurrencies currently available, there inherently exists many price discrepancies due to market inefficiencies. Market inefficiencies occur when the price of assets do not reflect their true value. In fact, these types of pricing discrepancies exist in other financial markets, including fiat currency exchanges and stock exchanges. However, these discrepancies are more significant in the cryptocurrency domain due to ...


Variations On A Theme: Using Amino Acid Sequences To Generate Music, Aaron Kosmatin 2018 San Jose State University

Variations On A Theme: Using Amino Acid Sequences To Generate Music, Aaron Kosmatin

Master's Projects

In this project, we explore using a musical space to represent the properties of amino acids. We consider previous mappings and explore the limitations of these mappings. In this exploration, we will propose a new method of mapping into musical spaces that extends the properties that can be represented. For this work, we will use amino acid sequences as our example mapping. The amino acid properties we will use include mass, charge, structure, and hydrophobicity. Finally, we will show how the different musical properties can be compared for similarity.


A Transfer Learning Approach For Sentiment Classification., Omar Abdelwahab 2018 University of Louisville

A Transfer Learning Approach For Sentiment Classification., Omar Abdelwahab

Electronic Theses and Dissertations

The idea of developing machine learning systems or Artificial Intelligence agents that would learn from different tasks and be able to accumulate that knowledge with time so that it functions successfully on a new task that it has not seen before is an idea and a research area that is still being explored. In this work, we will lay out an algorithm that allows a machine learning system or an AI agent to learn from k different domains then uses some or no data from the new task for the system to perform strongly on that new task. In order ...


Cleaver: Classification Of Everyday Activities Via Ensemble Recognizers, Samantha Hsu 2018 California Polytechnic State University, San Luis Obispo

Cleaver: Classification Of Everyday Activities Via Ensemble Recognizers, Samantha Hsu

Master's Theses and Project Reports

Physical activity can have immediate and long-term benefits on health and reduce the risk for chronic diseases. Valid measures of physical activity are needed in order to improve our understanding of the exact relationship between physical activity and health. Activity monitors have become a standard for measuring physical activity; accelerometers in particular are widely used in research and consumer products because they are objective, inexpensive, and practical. Previous studies have experimented with different monitor placements and classification methods. However, the majority of these methods were developed using data collected in controlled, laboratory-based settings, which is not reliably representative of real ...


Constrained K-Means Clustering Validation Study, Nicholas McDaniel, Stephen Burgess, Jeremy Evert 2018 Southwestern Oklahoma State University

Constrained K-Means Clustering Validation Study, Nicholas Mcdaniel, Stephen Burgess, Jeremy Evert

Student Research

Machine Learning (ML) is a growing topic within Computer Science with applications in many fields. One open problem in ML is data separation, or data clustering. Our project is a validation study of, “Constrained K-means Clustering with Background Knowledge" by Wagstaff et. al. Our data validates the finding by Wagstaff et. al., which shows that a modified k-means clustering approach can outperform more general unsupervised learning algorithms when some domain information about the problem is available. Our data suggests that k-means clustering augmented with domain information can be a time efficient means for segmenting data sets. Our validation study focused ...


Validation Study Of Image Recognition Algorithms, Jacob Miller, Jeremy Evert 2018 Southwestern Oklahoma State University

Validation Study Of Image Recognition Algorithms, Jacob Miller, Jeremy Evert

Student Research

Developments in machine learning in recent years have created opportunities that previously never existed. One such field with an explosion of opportunity is image recognition, also known as computer vision; the process in which a machine analyzes a digital image.

In order for a machine to ‘see’ as a human does, it must break down the image in a process called image segmentation. The way the machine goes about doing this is important, and many algorithms exist to determine just how a machine will decide to group the pixels in an image.

This research is a validation study of related ...


Project Management Madness: 3 Key Programs For Communication, Personal Tasks And Large Projects, Rachel S. Evans 2018 University of Georgia School of Law Library

Project Management Madness: 3 Key Programs For Communication, Personal Tasks And Large Projects, Rachel S. Evans

Presentations

No matter what member of a team you are, be it content editor, web designer, database manager or systems administrator, getting things done and meeting goals depends largely on how you communicate with one another, handle your time and effectively collaborate on small and big projects. This session will use our own team's preferred platforms to show specific examples of how we are managing our taskflow across three different programs to tackle business as usual, short and long term work, and major special projects.

The three programs that will be compared for pros, cons, and their integration with one ...


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