Computer Sciences Commons^™

Instructional Designers As Project Managers: A Phenomenology, La Keshia Lynn Nall

CEC Theses and Dissertations

The ability to effectively manage learning design projects, consult with stakeholders (such as sponsors, subject matter experts, and learners), and direct projects to completion is a vital part of an instructional designer’s role. Although the need for project management education and experience is reiterated in the literature and in cross-industry instructional designer (ID) job postings, it was unclear how these professionals acquired and used project management skills and tools in their profession because project management is not a focus in many higher education programs intended to prepare instructional designers.

The goal of this phenomenological study was to understand the ...

Using Supervised Learning To Predict English Premier League Match Results From Starting Line-Up Player Data, Runzuo Yang

Dissertations

Soccer is one of the most popular sports around the world. Many people, whether they are a fan of a soccer team, a player of online soccer games or even the professional coach of a soccer team, will attempt to use some relevant data to predict the result of a match. Many of these kinds of prediction models are built based on data from the match itself, such as the overall number of shots, yellow or red cards, fouls committed, etc. of the home and away teams. However, this research attempted to predict soccer game results (win, draw or loss ...

Camr: Coded Aggregated Mapreduce, Konstantinos Konstantinidis, Aditya Ramamoorthy

Electrical and Computer Engineering Publications

Many big data algorithms executed on MapReduce-like systems have a shuffle phase that often dominates the overall job execution time. Recent work has demonstrated schemes where the communication load in the shuffle phase can be traded off for the computation load in the map phase. In this work, we focus on a class of distributed algorithms, broadly used in deep learning, where intermediate computations of the same task can be combined. Even though prior techniques reduce the communication load significantly, they require a number of jobs that grows exponentially in the system parameters. This limitation is crucial and may diminish ...

Distributed Matrix-Vector Multiplication: A Convolutional Coding Approach, Anindya B. Das, Aditya Ramamoorthy

Electrical and Computer Engineering Publications

Distributed computing systems are well-known to suffer from the problem of slow or failed nodes; these are referred to as stragglers. Straggler mitigation (for distributed matrix computations) has recently been investigated from the standpoint of erasure coding in several works. In this work we present a strategy for distributed matrix-vector multiplication based on convolutional coding. Our scheme can be decoded using a low-complexity peeling decoder. The recovery process enjoys excellent numerical stability as compared to Reed-Solomon coding based approaches (which exhibit significant problems owing their badly conditioned decoding matrices). Finally, our schemes are better matched to the practically important case ...

Universally Decodable Matrices For Distributed Matrix-Vector Multiplication, Aditya Ramamoorthy, Li Tang, Pascal O. Vontobel

Electrical and Computer Engineering Publications

Coded computation is an emerging research area that leverages concepts from erasure coding to mitigate the effect of stragglers (slow nodes) in distributed computation clusters, especially for matrix computation problems. In this work, we present a class of distributed matrix-vector multiplication schemes that are based on codes in the Rosenbloom-Tsfasman metric and universally decodable matrices. Our schemes take into account the inherent computation order within a worker node. In particular, they allow us to effectively leverage partial computations performed by stragglers (a feature that many prior works lack). An additional main contribution of our work is a companion matrix-based embedding ...

Stratified Random Sampling From Streaming And Stored Data, Trong Duc Nguyen, Ming-Hung Shih, Divesh Srivastava, Srikanta Tirthapura, Bojian Xu

Electrical and Computer Engineering Conference Papers, Posters and Presentations

Stratified random sampling (SRS) is a widely used sampling technique for approximate query processing. We consider SRS on continuously arriving data streams, and make the following contributions. We present a lower bound that shows that any streaming algorithm for SRS must have (in the worst case) a variance that is Ω(r ) factor away from the optimal, where r is the number of strata. We present S-VOILA, a streaming algorithm for SRS that is locally variance-optimal. Results from experiments on real and synthetic data show that S-VOILA results in a variance that is typically close to an optimal offline algorithm ...

Strategies For Using Information And Communication Technologies To Improve Profitability, Rodney Mciver

Walden Dissertations and Doctoral Studies

Small business owners in a range of industries continually adapt to take advantage of technological developments in accounting, marketing, and communication. The purpose of this multiple case study was to explore strategies that small business owners operating in the central region of North Carolina used to implement information and communication technology (ICT). Roger's diffusion of innovation theory grounded the study. Data collection included face-to-face semistructured interviews with 6 owners of small businesses who successfully implemented ICT, field notes from site observations, and reviews of participant websites. Interviews were transcribed and participants were engaged in member checking. Data were analyzed ...

User-Centered Design Strategies For Clinical Brainâ??Computer Interface Assistive Technology Devices, Geraldine Light

Walden Dissertations and Doctoral Studies

Although in the past 50 years significant advances based on research of brainâ??computer interface (BCI) technology have occurred, there is a scarcity of BCI assistive technology devices at the consumer level. This multiple case study explored user-centered clinical BCI device design strategies used by computer scientists designing BCI assistive technologies to meet patient-centered outcomes. The population for the study encompassed computer scientists experienced with clinical BCI assistive technology design located in the midwestern, northeastern, and southern regions of the United States, as well as western Europe. The multi-motive information systems continuance model was the conceptual framework for the study ...

A Case Study On Social Media As An Effective Management Tool, Appolloh Omolloh

Walden Dissertations and Doctoral Studies

In small businesses in the United States, specifically those with fewer than 10 employees,

leaders may be skeptical of and resistant to the use of social media in their management

operations. Management literature does not indicate clear and effective guidelines and

policies detailing small marketing firms use of social media. The purpose of this

qualitative case study was to explore the perceptions of small marketing firm leaders

about the resources and knowledge needed for effective use of social media as a

management tool. Emerson's social exchange theory grounded the study. The study

targeted owners and managers of small marketing ...

When Human Cognitive Modeling Meets Pins: User-Independent Inter-Keystroke Timing Attacks, Ximing Liu, Yingjiu Li, Robert H. Deng, Bing Chang, Shujun Li

Research Collection School Of Information Systems

This paper proposes the first user-independent inter-keystroke timing attacks on PINs. Our attack method is based on an inter-keystroke timing dictionary built from a human cognitive model whose parameters can be determined by a small amount of training data on any users (not necessarily the target victims). Our attacks can thus be potentially launched on a large scale in real-world settings. We investigate inter-keystroke timing attacks in different online attack settings and evaluate their performance on PINs at different strength levels. Our experimental results show that the proposed attack performs significantly better than random guessing attacks. We further demonstrate that ...

Physics's Need For Interval Uncertainty And How It Explains Why Physical Space Is (At Least) 3-Dimensional, Olga Kosheleva, Vladik Kreinovich

Departmental Technical Reports (CS)

One of the fundamental problems of modern physics is the problem of divergence: e.g., when we try to compute the overall energy of the electric field generated by a charged elementary particle, we get a physically meaningless infinite value. In this paper, we show that one way to avoid these infinities is to take into account that measurements are always imprecise -- and thus, we never get the exact values of the physical quantities, only intervals of possible values. We also show that 3-dimensional space is the simplest one in which such interval uncertainty is inevitable. This may explain why ...

Towards A More Efficient Representation Of Functions In Quantum And Reversible Computing, Oscar Galindo, Laxman Bokati, Vladik Kreinovich

Departmental Technical Reports (CS)

Many practical problem necessitate faster computations. Simple physical estimates show that the only way to achieve a drastic computation speedup is to use quantum -- or, more generally, reversible -- computing. Thus, we need to be able to transform the existing algorithms into reversible form. Such transformation schemes exist. However, such schemes are not very efficient. Indeed, in general, when we write an algorithm, we composed it of several pre-existing modules. It would be nice to be able to similarly compose a reversible version of our algorithm from reversible version of these moduli -- but the existing transformation schemes cannot do it, they ...

High Concentrations Naturally Lead To Fuzzy-Type Interactions And To Gravitational Wave Bursts, Oscar Galindo, Olga Kosheleva, Vladik Kreinovich

Departmental Technical Reports (CS)

Fuzzy logic is normally used to describe the uncertainty of human knowledge and human reasoning. Physical phenomena are usually described by probabilistic models. In this paper, we show that in extremal conditions, when the concentrations are very large, some formulas describing physical interactions become fuzzy-type. We also show the observable consequences of such fuzzy-type formulas: they lead to bursts of gravitational waves.

Empathi: An Ontology For Emergency Managing And Planning About Hazard Crisis, Manas Gaur, Kaeedeh Shekarpour, Amelia Gyrard, Amit P. Sheth

Kno.e.sis Publications

In the domain of emergency management during hazard crises, having sufficient situational awareness information is critical. It requires capturing and integrating information from sources such as satellite images, local sensors and social media content generated by local people.
A bold obstacle to capturing, representing and integrating such heterogeneous and diverse information is lack of a proper ontology which properly conceptualizes this domain, aggregates and unifies datasets. Thus, in this paper, we introduce empathi ontology which conceptualizes the core concepts describing the domain of emergency managing and planning of hazard crises.
Although empathi has a coarse-grained view, it considers the necessary ...

Activity - Binary Code, Robert J. Domanski

Open Educational Resources

A Binary Code activity and worksheet for CS0 students. Part of the CUNY CS04All project.

Activity - Encryption With The Caesar Cipher, Robert J. Domanski

Open Educational Resources

An Encryption activity and worksheet for CS0 students. Part of the CUNY CS04All project.

Activity - Python Functions - Drawing With Turtle, Robert J. Domanski

Open Educational Resources

A Python Functions activity - "Drawing with Turtle" - for CS0 students. Part of the CUNY CS04All project.

Activity - A-Frame: Virtual Reality Programming, Robert J. Domanski

Open Educational Resources

An A-Frame Virtual Reality Programming activity for CS0 students. Part of the CUNY CS04All project.

Activity - Python Lists - "Hangman Game", Robert J. Domanski

Open Educational Resources

A Python Lists activity - "Hangman game" - for CS0 students. Part of the CUNY CS04All project.

Activity - Python Functions - Scrabble Game, Robert J. Domanski

Open Educational Resources

A Python Functions activity - "Scrabble game" - for CS0 students. Part of the CUNY CS04All project.