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Running Header 1APPLICATION DEVELOPMENT METHODS2.docx
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Running Header: 1 SYSTEM ARCHITECTURE 24 Group Project Group 1 Charles Williams Participating Members John Holmberg, Sean Austin, Christian Dillon, Charles Williams, Matthew Serdy, Frank Opoku Non-Participating Members 5/22/2019 IT488 – IT Capstone II (IT488-1902B-01) Henrietta Okoro Table of Contents Section 1 – Project Overview (from IT487) 3 Section 2 – Requirements (from IT487) 5 Section 3 – Design (from IT487) 7 Section 4 - Methodology 10 Determining Methodology 10 Section 5 – Work Breakdown Structure 12 Section 6 – Communication Plan 13 Plan involvement – 13 Stakeholder requirements 14 Key Messages 14 Scheduling 15 Section 7 – Quality Assurance Plan 16 Section 8 – Documentation Plan 17 Section 9 – Quality Assurance and Results of Test Case 18 Project Closure 19 References 20 Section 1 – Project Overview (from IT487) The company Education Information Systems. (EiS) is an information and management company that specializes in the creation and care of large-scale educational information and technology systems. EiS has implemented and managed systems ranging from the pre-K to 12th year primary school systems, and is developing larger scale systems to facilitate collegiate, graduate and post graduate educational institutions. EiS is a privately held organization that has the primary focus of providing the best possible systems to help grow the educational sector. Previous clients have implemented system wide software replacement and upgrades. With a stellar track record of previous educational institutions, and references, EiS has completed all the projects on time, and within budgetary guidelines. All problem issues or negative feedback from clients were handled in professional and timely manner that resulted in a completely satisfied client. Moving toward post high school educational institutions, EiS is working with an extremely talented development team to move into the graduate and post graduate sector with ease. With new projects being developed, and more clients, EiS also works to recruit the best talent in the development, and technical aspects of information technology. The information system to be developed by EiS for the institution will allow for all student, and faculty to store, share, and secure data. Utilizing a web-based UI, the information will be easily accessed, with the proper credentials. Data can be shared among staff, and students with preferences designed to mitigate corruption of data, loss of information, especially personal and financial information. All faculty and staff can be added to the application via an admin portal and all security is designated there. All remote access to the application will require a 2 factor authentication system for another level of security to ensure that the proper access protocols are being followed. All information that is stored will be designed to the student or faculty member, and kept throughout the students’ academic career or the faculty member’s tenure. The.
Running Header 1SYSTEM ARCHITECTURE24Gr.docx
Running Header 1SYSTEM ARCHITECTURE24Gr.docx
rtodd599
Ict project management in theory and practice
Ict project management in theory and practice
Kennedy Kiprono
Running Header: 1 SYSTEM ARCHITECTURE 2 Unit 3 Group Project System Architecture Group 4 John Holmberg, Sean Austin, Christian Dillon, Charles Williams, Matthew Serdy, Frank Opoku 24 April 2019 IT487 – IT Capstone 1 Nolyn Johnson Table of Contents Section 1 - Overview of Company and Client Business Case 3 Section 2 - Application Requirement Elicitation Strategy 5 Section 3 - System Components and Design Requirements 7 Section 4 - Methodology for Application Development Process 10 Section 5 - Complete Features and Trade-off Analysis 12 Section 6 - Milestones and Deliverables Based on Date and Dependencies 15 Section 7 - System Architecture Aligned with System Requirements 21 Section 8 - Technical Design Document 24 Section 9 - Design Review Checklist 25 Section 10 - Testing and Deployment 26 References 27 Section 1 - Overview of Company and Client Business Case The company Education Information Systems. (EiS) is an information and management company that specializes in the creation and care of large-scale educational information and technology systems. EiS has implemented and managed systems ranging from the pre-K to 12th year primary school systems, and is developing larger scale systems to facilitate collegiate, graduate and post graduate educational institutions. EiS is a privately held organization that has the primary focus of providing the best possible systems to help grow the educational sector. Previous clients have implemented system wide software replacement and upgrades. With a stellar track record of previous educational institutions, and references, EiS has completed all the projects on time, and within budgetary guidelines. All problem issues or negative feedback from clients were handled in professional and timely manner that resulted in a completely satisfied client. Moving toward post high school educational institutions, EiS is working with an extremely talented development team to move into the graduate and post graduate sector with ease. With new projects being developed, and more clients, EiS also works to recruit the best talent in the development, and technical aspects of information technology. The information system to be developed by EiS for the institution will allow for all student, and faculty to store, share, and secure data. Utilizing a web-based UI, the information will be easily accessed, with the proper credentials. Data can be shared among staff, and students with preferences designed to mitigate corruption of data, loss of information, especially personal and financial information. All faculty and staff can be added to the application via an admin portal and all security is designated there. All remote access to the application will require a 2 factor authentication system for another level of security to ensure that the proper access protocols are being followed. All information that is stored will be designed to the student or faculty member, and kept throughout the students’ academic caree.
Running Header 1SYSTEM ARCHITECTURE2Unit .docx
Running Header 1SYSTEM ARCHITECTURE2Unit .docx
rtodd599
A comprehensive presentation on e-government monitoring and evaluation.
Misra, D.C.(2009): E-government Monitoring and Evaluation_MDI-12.2.2009
Misra, D.C.(2009): E-government Monitoring and Evaluation_MDI-12.2.2009
Dr D.C. Misra
This lecture will analyze the increasingly important topic of assessment and evaluation in e-government. Different models, methodologies and approaches will be presented. Dimitris Sarantis, Researcher, United Nations University, PT
e-Government Assessment
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samossummit
Ch01
Ch01
chris1217
ow-a-days data volumes are growing rapidly in several domains. Many factors have contributed to this growth, including inter alia proliferation of observational devices, miniaturization of various sensors ,improved logging and tracking of systems, and improvements in the quality and capacity of both disk storage and networks .Analyzing such data provides insights that can be used to guide decision making. To be effective, analysis must be timely and cope with data scales. The scale of the data and the rates at which they arrive make manual inspection infeasible. As an educational management tool, predictive analytics can help and improve the quality of education by letting decision makers address critical issues such as enrollment management and curriculum Development. This paper presents an analytical study of this approach’s prospects for education planning. The goals of predictive analytics are to produce relevant information, actionable insight, better outcomes, and smarter decisions, and to predict future events by analyzing the volume, veracity, velocity, variety, value of large amounts of data and interactive exploration.
Predictive Analytics in Education Context
Predictive Analytics in Education Context
IJMTST Journal
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Module 6 Implementation: project management and monitoring
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Togar Simatupang
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E-Cambodia
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The rate of computer and internet usage has been increasing rapidly around the world. In parallel with the technologic developments in computer science, transformation from traditional services to online services has gained speed. The aim of this study is to predict the factors that affect e-government service usage. A research model is developed to achieve this aim. The proposed model bases on Technology Acceptance Model and Theory of Planned Behaviour. A questionnaire is developed to evaluate the model. This questionnaire composes of two parts: demographics part and item part. In the items part, 32 items comprising the factors of the proposed model are asked to participants. 100 participants fill the questionnaire. Reliability analysis of the questionnaire is evaluated with internal consistency reliability method. Results show that all items satisfies the reliability conditions. The reliability of whole questionnaire Cronbach Alpha is 0.885. The Cronbach’s alpha for the overall scale of each of the factors ranges from 0.878 to 0.890. Regression analysis results showed that all hypotheses are supported. This study provides some valuable references to understand citizens’ acceptance level of e-government services.
CITIZENS’ ACCEPTANCE OF E-GOVERNMENT SERVICES
CITIZENS’ ACCEPTANCE OF E-GOVERNMENT SERVICES
ijcseit
The rate of computer and internet usage has been increasing rapidly around the world. In parallel with the technologic developments in computer science, transformation from traditional services to online services has gained speed. The aim of this study is to predict the factors that affect e-government service usage. A research model is developed to achieve this aim. The proposed model bases on Technology Acceptance Model and Theory of Planned Behaviour. A questionnaire is developed to evaluate the model. This questionnaire composes of two parts: demographics part and item part. In the items part, 32 items comprising the factors of the proposed model are asked to participants. 100 participants fill the questionnaire. Reliability analysis of the questionnaire is evaluated with internal consistency reliability method. Results show that all items satisfies the reliability conditions. The reliability of whole questionnaire Cronbach Alpha is 0.885. The Cronbach’s alpha for the overall scale of each of the factors ranges from 0.878 to 0.890. Regression analysis results showed that all hypotheses are supported. This study provides some valuable references to understand citizens’ acceptance level of e-government services.
CITIZENS’ ACCEPTANCE OF E-GOVERNMENT SERVICES
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wenxin_0712
Do you know how data-driven approaches can influence the policy cycle and the benefits derived from this? Have you ever participated in a policy-lab, collaborating with other stakeholders to develop and test a policy? In this session, Anne Fleur van Veenstra from TNO will delve into current practices, insights and lessons learnt from current policy-lab projects, followed by Francesco Mureddu, from the Lisbon Council, who will look ahead and identify the main challenges and opportunities by presenting and discussing a roadmap for Future Research Directions in data-driven Policy Making.
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ICTs are quickly becoming popular in the world as part of social order, education has cought on and thus plans to intergrate ICTs as part of teaching and learning.
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Using Machine Learning embedded in Organizational Responsibility Model, added to the ten characteristics of the CIO Master and the twelve competencies of the workforce can help lead the Digital Transformation of the traditional public organizations to the Exponential.
Project Organizational Responsibility Model - ORM
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Guttenberg Ferreira Passos
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Running Header 1APPLICATION DEVELOPMENT METHODS2.docx
Running Header 1APPLICATION DEVELOPMENT METHODS2.docx
Running Header 1SYSTEM ARCHITECTURE24Gr.docx
Running Header 1SYSTEM ARCHITECTURE24Gr.docx
Ict project management in theory and practice
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Running Header 1SYSTEM ARCHITECTURE2Unit .docx
Running Header 1SYSTEM ARCHITECTURE2Unit .docx
Misra, D.C.(2009): E-government Monitoring and Evaluation_MDI-12.2.2009
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e-Government Assessment
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Ch01
Ch01
Predictive Analytics in Education Context
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Module 6 Implementation: project management and monitoring
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E-Cambodia
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CITIZENS’ ACCEPTANCE OF E-GOVERNMENT SERVICES
CITIZENS’ ACCEPTANCE OF E-GOVERNMENT SERVICES
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01 itpm6
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BDVe Webinar Series - Big Data for Public Policy, the state of play - Roadmap...
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02_Ch2a.pptx
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