The proceedings contain 8 papers. The topics discussed include: the software stack data-type as an operating system service;forth in space: interfacing SSBUV, a scientific instrument, to the space shuttle;first step t...
The proceedings contain 8 papers. The topics discussed include: the software stack data-type as an operating system service;forth in space: interfacing SSBUV, a scientific instrument, to the space shuttle;first step to forth engine construction;a forth course for engineers;a C-to-forth compiler;forth, meta Window, and GUI design;forth in mainstream computer science courses;and computer algebra in forth.
The proceedings contain 307 papers. The topics discussed include: discovering, selecting and exploiting feature sequence records of study participants for the classification of epidemiological data on hepatic steatosi...
ISBN:
(纸本)9781450351911
The proceedings contain 307 papers. The topics discussed include: discovering, selecting and exploiting feature sequence records of study participants for the classification of epidemiological data on hepatic steatosis;a parallel framework for HCC detection in DCE-MRI sequences with wavelet-based description and SVM classification;an adaptive neuro-fuzzy inference system for improving data quality in disease registries;deep metric learning for multi-labelled radiographs;a TF-IDF based topic model for identifying lncRNAs from genomic background;a multi-criteria decision making approach for predicting cancer cell sensitivity to drugs;interpretable CNV-based tumour classification using fuzzy rule based classifiers;student research abstract: estimating the impacts of HIV intervention programs among females who sell sex in Nigeria: a modelling approach;student research abstract: simulation study of transient receptor potential current in urinary bladder over activity;ordering stakeholder viewpoint concerns for holistic enterprise architecture (the W6H framework);using enterprise architecture model analysis and description logics for maturity assessment;conceptual modeling of inter-dependencies between processes and data;transparent io access control for application-level tenant isolation;Gelly-scheduling: distributed graph processing for service placement in community networks;and bounding the cost of virtual machine migrations for resource allocation in cloud data centers.
The following topics are dealt with:MPI; multimedia; algorithms and applications; parallel I/O; scheduling and resource management; programming on the grid; grid tools; peer-to-peer; data grid; QoS and SLA; cluster to...
The following topics are dealt with:MPI; multimedia; algorithms and applications; parallel I/O; scheduling and resource management; programming on the grid; grid tools; peer-to-peer; data grid; QoS and SLA; cluster tools; large scale distributed systems; distributed shared memory on clusters; grids and advanced networks; BioGrid; and agent based cluster and grid computing.
The rapid evolution of artificial intelligence technologies, with the corresponding impact on human well-being, calls for an increase in ethical awareness to influence the computer science students who will be creatin...
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ISBN:
(纸本)9798400705311
The rapid evolution of artificial intelligence technologies, with the corresponding impact on human well-being, calls for an increase in ethical awareness to influence the computer science students who will be creating the future. Interdisciplinary teams of scholars are attempting to build frameworks for explaining appropriate ethical considerations for responsible computing. Although professional computing codes of ethics are intended for managing ethical dilemmas in computing, there are no single fixed solutions to all possible challenges which computer scientists face in their professional work. The use of narratives is one way to engage computer science (CS) students as they explore the ethical implications of their work and critically examine the implications of decisions that are made as part of professional practice. This experience report shares the story of a team of faculty (Computer Science and applied Philosophy) working to integrate computing ethics into their undergraduate CS programs in different instructional contexts;a liberal arts college in the USA and a technology and research university in Nigeria. This collaborative work in progress shares examples of modules and assessments refined over time based on evolving student interests and curriculum needs that are responsive to rapid advances in computing technologies. Contributions of this report include: 1) documentation of the origins of this interdisciplinary partnership, 2) a rationale for a narrative-based approach for fostering responsible computing principles and practices, and 3) preliminary data the impact of this approach within international computing environments.
The application of mastery learning, where students progress through their learning in a self-paced manner until they have mastered specific concepts, is considered appealing for teaching introductory programming cour...
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ISBN:
(纸本)9798400705328
The application of mastery learning, where students progress through their learning in a self-paced manner until they have mastered specific concepts, is considered appealing for teaching introductory programming courses. Despite its growing popularity in computing and its extensive use in other disciplines, there is no overview of the design of courses that use mastery learning. In this position paper, we present an overview of five mastery learning models and discuss examples of how these can be applied in practice, both in foundational programming as well as more advanced courses. Our analysis focuses on the student progression through the course, the assessment structure, and the support for self-paced learning, including for struggling students. This work provides a greater understanding of mastery learning and its application in a computing education context.
Research exploring the connection between students' learning and their psychological factors (e.g., emotions, attitudes, and beliefs) is often grounded in models and theories from literature related to psychology ...
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ISBN:
(纸本)9798400705311
Research exploring the connection between students' learning and their psychological factors (e.g., emotions, attitudes, and beliefs) is often grounded in models and theories from literature related to psychology and learning sciences. These theories provide insights into how psychological factors influence students' learning, motivation, and academic performance. To deepen our understanding of the interplay between these factors and students' learning and performance, this paper provides findings from a systematic literature review (SLR) of research studies about theories and methods used to understand the emotions and self-efficacy of undergraduate computing and engineering students. We examined thirty studies published between 2005 and 2023 in top-tier academic venues for computing and engineering education research. These studies leverage diverse methodologies, including validated surveys, physiological data, and grounded theory approaches, to explore the nuances of students' emotions and self-efficacy in computing and engineering education. We discuss how these factors are defined in the literature, the methods applied to measure and analyze them, and the implications for future research and educational practice. This SLR could assist computing and engineering education researchers in designing rigorous research studies focused on exploring these factors in students' learning. Furthermore, this may provide educators with a reference for devising effective teaching strategies to improve students' perceptions of computing, thereby enhancing their academic achievement.
Bias detection and mitigation is an active area of research in machine learning. This work extends previous research done by the authors Van Busum and Fang (proceedings of the 38th acm/SIGAPP symposium on applied Comp...
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The proceedings contain 195 papers from the 18th Annual symposium on appliedcomputing. The topics discussed include: implementing fuzzy expert system for intelligent buildings;image texture classification using datag...
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The proceedings contain 195 papers from the 18th Annual symposium on appliedcomputing. The topics discussed include: implementing fuzzy expert system for intelligent buildings;image texture classification using datagrams and characteristics views;enabling mobile agents to dynamically assume roles;automatic parallelism in differentiation of Fourier transforms and long time step molecular dynamics using targeted Langevin stabilization.
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