Concept Mapping Slide Show
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Software Catalog for Patch Management and Software Deployment
Software Catalog for Patch Management and Software Deployment Find all supported 3rd party applications that can be patched and deployed in Monitoring & Asset Management below. Click on a software to get a more detailed view of the respective versions. (Last Update: 2021/03/23) Vendors # Citrix 4 7-Zip 4 Code4ward.net 5 A CoreFTP 5 Acro 4 Corel 5 Adobe 4 CrowdStrike, Inc 5 AdoptOpenJDK 4 D AIMP Dev Team 4 dotPDN LLC 5 Amazon Services LLC 4 Dropbox 5 Apache Software Foundation 4 E Apple 4 Evernote Corporation 5 Atlassian 4 F Audacity 4 FileZilla 5 Azul Systems, Inc 4 Foxit Corporation 5 B G Bandicam Company 4 GIT 5 Barco, Inc 4 GIMP.org 5 BlueJeans Network, Inc. 4 Glavsoft 5 Botkind, Inc. 4 Google 5 Box.com 4 Gretech Corp 5 C Inkscape 5 CDBurnerXP 4 IrfanView 5 Cisco 4 Software Catalog for Patch Management and Software Deployment J P Jabra 5 PeaZip 10 JAM Software 5 Pidgin 10 Juraj Simlovic 5 Piriform 11 K Plantronics, Inc. 11 KeePass 5 Plex, Inc 11 L Prezi Inc 11 LibreOffice 5 Programmer‘s Notepad 11 Lightning UK 5 PSPad 11 LogMeIn, Inc. 5 Q M QSR International 11 Malwarebytes Corporation 5 Quest Software, Inc 11 Microsoft 6 R MIT 10 R Foundation 11 Morphisec 10 RarLab 11 Mozilla Foundation 10 Real 11 N RealVNC 11 Neevia Technology 10 RingCentral, Inc. 11 NextCloud GmbH 10 S Nitro Software, Inc. 10 Scooter Software, Inc 11 Nmap Project 10 Siber Systems 11 Node.js Foundation 10 Simon Tatham 11 Notepad++ 10 Skype Technologies S.A. -
Document Management System Design Architecture for Interdepartmental Organization
Date September 2009 Page/of 1/487 Document Management System design architecture for interdepartmental organization H. Safari Asl 1063405 Y.F. Tang 1107860 Master Thesis Honeywell B.V & Department: Information Architecture Faculty: Electrical Engineering, Mathematics and Computer Science, Delft University of Technology Date: September 2009 Date September 2009 Page/of 2/487 Document Management System design architecture for interdepartmental organization Authors: H. Safari Asl, BSc, Student nr: 1063405, Email: [email protected] Y.F. Tang, BSc, Student nr: 1107860, Email: [email protected] MSc presentation: 16 December 2009 Graduation committee Prof.dr.ir. J. L.G. Dietz(Chair) Electrical Engineering, Mathematics and Computer Science Department 2: Software Technology Web Information Systems Dr.ir. Jan van den Berg(Member) Technology, Policy and Management Infrastructures, Systems and Services Section Information & Communication Ir. Bernard Sodoyer(Supervisor) Electrical Engineering, Mathematics and Computer Science Department 2: Software Technology Web Information Systems Date September 2009 Page/of 3/487 Table of Contents List of tables .......................................................................................................................................... 4 List of figures ......................................................................................................................................... 5 List of appendix ..................................................................................................................................... -
The Efficacy of Concept Mapping As a Learning Tool in Life-Span Development Classes
Perspectives In Learning Volume 17 | Number 1 Article 5 9-27-2018 The fficE acy of Concept Mapping as a Learning Tool in Life-Span Development Classes Joseph A. Mayo Gordon State College, [email protected] Follow this and additional works at: https://csuepress.columbusstate.edu/pil Part of the Psychology Commons Recommended Citation Mayo, J. A. (2018). The Efficacy of Concept Mapping as a Learning Tool in Life-Span Development Classes. Perspectives In Learning, 17 (1). Retrieved from https://csuepress.columbusstate.edu/pil/vol17/iss1/5 This Research is brought to you for free and open access by the Journals at CSU ePress. It has been accepted for inclusion in Perspectives In Learning by an authorized editor of CSU ePress. MAYO The Efficacy of Concept Mapping as a Learning Tool in Life-Span Development Classes Joseph A. Mayo Gordon State College Abstract The effectiveness of concept mapping on learning has been reported in research across a number of undergraduate disciplines. The purpose of the present investigation was to add to the existing literature on concept mapping in the teaching of psychology through systematic comparisons of learning in undergraduate life-span development classes. In one group, students completed concept-mapping assignments. In another group, they completed written assignments with features of relationship-identification shared with concept mapping. The combined results of quantitative and qualitative comparisons favored concept mapping over the more traditional learning assignments. Implications for future classroom research are discussed. Over a 12-year span beginning in the most abstract to increasingly more specific; late 1970s, Joseph D. Novak led a group of and cross-links are connections between researchers at Cornell University who initially discrete concepts in distant parts of pioneered concept mapping as a graphic the map that illustrate recognition of broad organizational and meta-learning strategy linkages within a topic (Mayo, 2010; Novak that assists in knowledge configuration (see & Cañas, 2008). -
Archimate Cookbook Patterns & Examples
ArchiMate Cookbook Patterns & Examples Document information Version 1.0 Created 2019-07-20 Modified 2021-07-13 Author Eero Hosiaisluoma (EHo) ArchiMate Cookbook Patterns & Examples Table Of Contents 1. Introduction ................................................................................................................................................................4 1.1 Purpose And Scope ............................................................................................................................................4 1.2 References ..........................................................................................................................................................4 2. ArchiMate Diagram Types .........................................................................................................................................5 2.1 Motivation View (Goals View) .............................................................................................................................5 2.1.1 Motivation View - Example ..........................................................................................................................6 2.1.2 Risk Analysis View.......................................................................................................................................7 2.2 Business Model View ..........................................................................................................................................8 2.2.1 Business Model Canvas (BMC)...................................................................................................................8 -
Utilizing Mind-Maps for Information Retrieval and User Modelling
Preprint, to be published at UMAP 2014. Downloaded from http://docear.org Utilizing Mind-Maps for Information Retrieval and User Modelling Joeran Beel1,2, Stefan Langer1,2, Marcel Genzmehr1, Bela Gipp1,3 1 Docear, Magdeburg, Germany 2 Otto-von-Guericke University, Magdeburg, Germany 3 University of California, Berkeley, USA {beel | langer | genzmehr | gipp}@docear.org Abstract. Mind-maps have been widely neglected by the information retrieval (IR) community. However, there are an estimated two million active mind-map users, who create 5 million mind-maps every year, of which a total of 300,000 is publicly available. We believe this to be a rich source for information retriev- al applications, and present eight ideas on how mind-maps could be utilized by them. For instance, mind-maps could be utilized to generate user models for recommender systems or expert search, or to calculate relatedness of web-pages that are linked in mind-maps. We evaluated the feasibility of the eight ideas, based on estimates of the number of available mind-maps, an analysis of the content of mind-maps, and an evaluation of the users’ acceptance of the ideas. We concluded that user modelling is the most promising application with re- spect to mind-maps. A user modelling prototype – a recommender system for the users of our mind-mapping software Docear – was implemented, and evalu- ated. Depending on the applied user modelling approaches, the effectiveness, i.e. click-through rate on recommendations, varied between 0.28% and 6.24%. This indicates that mind-map based user modelling is promising, but not trivial, and that further research is required to increase effectiveness. -
Slides for Students
SLIDES FOR STUDENTS The Effective Use of Powerpoint in Education GARY D. FISK SLIDES FOR STUDENTS The Effective Use of Powerpoint in Education GARY D. FISK Blue Ridge | Cumming | Dahlonega | Gainesville | Oconee Copyright © 2019 by Gary D. Fisk All rights reserved. No part of this book may be reproduced in whole or in part without written permission from the publisher, except by reviewers who may quote brief excerpts in connections with a review in newspaper, magazine, or electronic publications; nor may any part of this book be reproduced, stored in a retrieval system, or transmitted in any form or by any means electronic, mechanical, photocopying, recording, or other, without the written permission from the publisher. Published by: University of North Georgia Press Dahlonega, Georgia Printing Support by: Lightning Source Inc. La Vergne, Tennessee Book design by Corey Parson. ISBN: 978-1-940771-43-4 Printed in the United States of America For more information, please visit: http://ung.edu/university-press Or e-mail: [email protected] CONTENTS 0 Introduction vii 1 Presentation Software 1 2 Powerpointlessness 14 3 Educational Effectiveness and Student Perceptions 32 4 Avoiding Death by Powerpoint 53 5 Design for Emotion I 67 6 Design for Emotion II 84 7 Design for Sensation 100 8 Design for Perception I 117 9 Design for Perception II 135 10 Design for Attention 156 11 Design for Cognition I 170 12 Design for Cognition II 190 13 Design for Behavior 213 14 Technology Choices 232 15 Tips and Tricks for Slide Presentations 247 16 A Classroom Presentation Example 264 17 The Bright Future of Powerpoint in Education 292 A Appendix A 307 B Appendix B 310 C Appendix C 314 0 INTRODUCTION The creative spark that motivated this book was the observation that powerpoint presentations sometimes fail to produce a positive impact on student learning. -
How to Integrate Evernote with Mind Mapping Applications
How to integrate Evernote with mind mapping applications Since its launch in 2008, Evernote has evolved into a powerful tool for taking notes and capturing all types of digital content. Its growth rate has been amazing; as of February of this year, it has over 50 million users, with 100,000 a day signing up for it. Developers of mind mapping and visual thinking applications have embraced Evernote, integrating with it in a number of different ways. In this report, I will provide you with an overview of the desktop- and web-based mind mapping and visual thinking applications that integrate with Evernote. I will describe how they work together and the pros and cons of each developer’s approach. As a writer, I have a strong personal interest in this topic. I have been using Evernote for several years as my primary tool for capturing content ideas. I also do a significant amount of writing within it, mainly because Evernote does a fantastic job of giving me instant access to all of my notes no matter where I go or what computing platform I’m using. I also find it useful for Evernote-Mind Map Integration Page 2 gathering research for reports I’m working on. Evernote’s web clipper enables me to quickly and easily capture all or part of any web page, tag it and store it in a folder of my choice. So naturally, for larger reports and projects, I’m keenly interested in developing new ways to incorporate the great content and ideas I’ve gathered in Evernote into my mind maps. -
Vendorgraphs | DATA VISUALIZATION Samuel J Park | Liberty University | Thesis Thank You
VENDORGraphs | DATA VISUALIZATION Samuel J Park | Liberty University | Thesis Thank you. Thank you to my professors and professional advisors that helped me in my design journey. I would especially like to thank my wife, Tina, and kids, for helping me complete this degree. I can’t thank you enough for your support and encouragement to help me get through this challeng- ing process. It’s been a crazy few years, but I will continue to strive in my educational and professional career to provide a better life for us. A thesis submitted to Liberty University for VENDORGraphs Master of Fine Arts in Studio and Digital Arts. DATA VISUALIZATION Samuel J Park | Liberty University | Thesis Monique Maloney Marvin Eans Monica Bruenjes Todd Smith VENDORGraphs | PART I Research CONTENTS INTRODUCTION OF RESEARCH 9 RESEARCH PROBLEM 11 RESEARCH STATEMENT 12 LITERATURE REVIEW 16 KNOWLEDGE GAP 27 RESEARCH METHODS 28 STAKEHOLDERS 36 RESEARCH IMPLICATIONS 41 CONCLUSION 42 https://www.storyblocks.com/stock-image/frustrated-young-busi- ness-man-r7vzg2dqowj6gtwvgr “I’ve got data, but I have no idea what it means or how to read it.” Greg Thompson, Dealership Owner TITLE & DESCRIPTION Creating a data visualization solution for automotive dealers to enhance sales performance. As many auto dealers use over 20 vendors per store, it is very difficult to keep track of vendor performance. Therefore, auto dealers need a tool that explains vendor performance through visual charts and graphs. VendorGraphs will meet this need. Currently, auto dealerships use Customer Relationship Management (CRM) tools to keep track of their marketing efforts. However, there is an over- whelming amount of data that managers have to filter through to understand what is going on. -
Software Analysis
visEUalisation Analysis of the Open Source Software. Explaining the pros and cons of each one. visEUalisation HOW TO DEVELOP INNOVATIVE DIGITAL EDUCATIONAL VIDEOS 2018-1-PL01-KA204-050821 1 Content: Introduction..................................................................................................................................3 1. Video scribing software ......................................................................................................... 4 2. Digital image processing...................................................................................................... 23 3. Scalable Vector Graphics Editor .......................................................................................... 28 4. Visual Mapping. ................................................................................................................... 32 5. Configurable tools without the need of knowledge or graphic design skills. ..................... 35 6. Graphic organisers: Groupings of concepts, Descriptive tables, Timelines, Spiders, Venn diagrams. ...................................................................................................................................... 38 7. Creating Effects ................................................................................................................... 43 8. Post-Processing ................................................................................................................... 45 9. Music&Sounds Creator and Editor ..................................................................................... -
Mindmapper 12Help Manual
MindMapper 12Help Manual Table of Contents 1. Chapter 1 - Getting Started ............................................................................................................................................................. 8 1.1. Mapping Concept............................................................................................................................................................. 8 1.1.1. What is Mind Mapping? .................................................................................................................................................. 8 1.1.2. Why do I need Mind Mapping? ....................................................................................................................................... 8 1.1.3. What are the Basic Principles? ........................................................................................................................................ 9 1.1.4. Mind Map Elements ........................................................................................................................................................ 9 1.2. Mind Map Benefits ........................................................................................................................................................ 10 1.2.1. Benefits .......................................................................................................................................................................... 10 1.2.2. Applications .................................................................................................................................................................. -
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All About K1000 (KBOX) Patch Management
All About K1000 (KBOX) Patch Management What patches are delivered by the K1000? When are patches delivered by the K1000? What do I see when the patch schedule steps run? Which patch schedule should I choose? How do I tell if my machine is on a patch schedule? How do I join a Kpatch schedule? What if my software is already up-to-date? The introductory article on patch management can be found here. The K1000 is only for Carleton-owned computers. You must be ON CAMPUS to log into the K1000 or connected via the VPN Please contact the ITS HelpDesk if you would like help using the K1000. You can reach them at x 5999 or by email at: [email protected] The K1000 receives security patches which are then delivered to campus computers. Feature related patches and upgrades are not available as Kpatches. What patches are delivered by the K1000? The K1000 delivers security-based patches for the following applications: 7-Zip (Windows) ABViewer (Windows) Adobe AIR Adobe Acrobat Adobe Digital Editions Adobe Reader Adobe Flash Player (on Windows, ActiveX and plugin) Apache OpenOffice (macOS) Apple iCloud (Windows) Apple iTunes (Windows) Audacity Box Sync (Windows) Camtasia CCleaner (Windows) CDBurnerXP (Windows) Citrix Receiver (Windows) DatabaseSpy (Windows) DiffDog (Windows) Dropbox (Windows) Evernote Fetch (macOS) FileZilla Client (Windows) Foxit Reader and PhantomPDF (Windows) Gimp Google Chrome Google Earth (Windows) GoToMeeting (Windows) HipChat (macOS) ImgBurn (Windows) Inkscape join.me (Windows) KeePass Password Safe (Windows) LibreOffice Microsoft