Ppt on e learning system

Session P16 Evaluating Online Learning: Frameworks and Perspectives (Workshop: Sunday Feb 17th, Training 2002) Dr. Curtis J. Bonk President, CourseShare.com.

the initial expense is balanced by long-term financial benefits Performance improvement –A clear place to see impact of online learning Competency advancement Pause: How are costs calculated in online programs? The Cost of E-learning Brandon-hall.com estimates that an LMS system for 8,000 learners costs $550,000 This price doesn’t include the cost of buying or developing content Bottom/


123 Oldham Road, Royton, Oldham, OL1 8NN R001 Introduction to Computer Systems – A Student’s Guide Cambridge Nationals ICT 2015 Exam Date: May 13 th 2015.

in which an organisation can capture (collect) data Sometimes organisations use automated data capture systems to collect data. One such system involves the use of sensors to collect data. Control System sensors will monitor certain physical properties (i.e. heat /movement etc) and then react accordingly. Go Back 2.Learning Outcome 2: Know how to work with information and data to meet specified business needs/


Part 2 E – 1 V3.0 THE IIA’S CIA LEARNING SYSTEM TM www.LearnCia.com Section Topics 1.Sampling 2.Statistical analyses 3.Data gathering tools 4.Analytical.

- assessment 8.Computerized audit tools and techniques 9.Process mapping, including flowcharting Part 2, Section E Part 2 E – 2 V3.0 THE IIA’S CIA LEARNING SYSTEM TM www.LearnCia.com Attributes Sampling When to use Size of sample Statistical table specifications Based on/suggest that you select one to oversee total hardware replacement. A B C D E Part 2, Section E, Topic 6 Part 2 E – 60 V3.0 THE IIA’S CIA LEARNING SYSTEM TM www.LearnCia.com Control Self-Assessment (CSA) Three principles common to CSA views/


E-Business Tenth Edition Chapter 12 Implementing E-Business Initiatives.

outsourcing (component outsourcing) –Company identifies specific project portions Portion can be completely designed, developed, implemented, and operated by another firm Examples –Smaller Web sites outsource e-mail handling and response functions –Electronic payment system © 2013 Cengage Learning. All Rights Reserved. This edition is intended for use outside of the U.S. only, with content that may be different from the U.S. Edition/


1999-12-08IEEE LTSC Work Program/Process, F. Farance ©1999 Edutool.Com 1 IEEE LTSC (P1484) Learning Technology Standards Committee Work Program and Process,

LTSC Work Program/Process, F. Farance ©1999 Edutool.Com 154 Learning Objects, What Are They? [2/5] Related definitions, courtesy Claude Ostyn, Asymetrix Learning Systems: Learning Asset (LA) –Reusable learning resource (e.g. course, course module, test item, document, tool, etc.) Learning Object Metadata (LOM) –Data that describes a Learning Asset –Is the metadata component of a Learning Object Learning Object (LO) –Conceptual, not a concrete object –What you get/


11 The role of ECTS in Linking Learning Outcomes, Teaching and Learning Activities and Assessment Dr Marian McCarthy, Ionad Bairre – The Teaching and Learning.

.e. learning which the student has undertaken and has been assessed as part of a qualification, e.g. a module. Credit transfer enables a student to transfer credit gained in one programme of study to another programme of study. 19 What is meant by recognition of prior learning (RPL) This is a system where a student is given credit for learning gained through experience which took/


11 Introducing ECTS, Learning Outcomes and Modularisation into the University System Corinthium Project Israel 19 December 2010 Dr Declan Kennedy, Department.

must be written in terms of learning outcomes. “Learning outcomes represent one of the essential building blocks for transparency within higher education systems and qualifications” - Bologna Working/system, each year of degree programme = 60 credits. Modules are allocated 5, 10, 15 or 20 credits depending on the fraction of the programme workload covered in the module. Each module is given a unique code, e.g. ED2013 ED2013 Education Year 2 Number assigned to this module 96 60 ECTS credits Programme Learning/


E-Learning: Facilitating Learning through Technology Bob Bostrom Terry College of Business University of Georgia Tutorial Resources.

/Chat Audio/video conferencing Virtual Classrooms Electronic Meeting Systems e-Learning Aliases Online learning/Training Web-based learning/training Virtual learning Distributed learning Distance learning Asynchronous Learning Networks Technology-Supported/Mediated/Facilitated Learning Networked Learning Electronic learning Collaborative electronic learning Electronic Performance Support Workflow-based learning [ Learning/Training] e-Learning Content Creation Tools (Content delivered electronically) Text/


Prospects and Challenges to Promote E-Learning in Developing Countries: A Case Study of Ethiopian Higher Education Berhanu Beyene Computer Science Department.

 A solution to all ills in the Education System  Not a panacea for all ills  What is E-Learning? 30 June 2004B.Beyene : E-Learning in DCs12 E-Learning: Metamorphosis ? Globalizatio n Merried with Commerc e (?) Back home Experimental 1980 1960 1990 2001 CBT CAE CAI WBT 1995 E-Learning Invisible E-Learning (Web-based interactive Learning) 30 June 2004B.Beyene : E-Learning in DCs13 E-Learning: Components  Learning Management Systems (LMS)  Student Registration (On-line)  Course Management  Collaboration/


E-Learning : The Challenges and Opportunities for Libraries Dr. Mei-hwa Yang National Chengchi University 2005/10/20.

2005/10/20Dr. Mei-hwa Yang, NCCU44 Strategic Priorities 優先次序策略 Reconceptualize the positioning of library services in the e-learning infrastructureReconceptualize the positioning of library services in the e-learning infrastructure Develop low risk library systems interfaces with e-learning infrastructureDevelop low risk library systems interfaces with e-learning infrastructure Adopt a clear strategic position on repository management issuesAdopt a clear strategic position on repository management issues/


Skills Challenges Experienced by Students in the use of Educational Technology / e-learning Some Perspectives on Skills Requirements, Needs Analysis and.

with automatic scoring and reporting, course-work submission, tracking student participation, improved integration of email features within VLE for communication, online whiteboard and chat to facilitate distance learning. 1. Brief overview of Learning Technology and E-Learning: Problems associated with E-Learning System / Technical Reliability - potential for disaster scenarios! Hardware / software failure. Continuity – often fixed life span of companies, how easily may data be exported to other/


MWE TOI PROJECT Mentoring Women for Entrepreneurship Project Nº 2013-1-ES1-LEO05-67314 INTRODUCTION on E-LEARNING Authors: Daina Gudoniene, Egidijus Asipauskas,

certificate courses to enrich the user in various subjects related to military training and civilian skill sets. The e-learning system not only provides learning objectives, but also evaluates the progress of the student and credit can be earned toward higher learning institutions. The Internet allows for learning to be directed at one’s current objectives. This reuse is an excellent example of knowledge retention and/


The Link to Improved Physics Instruction through Research on Student Learning David E. Meltzer Department of Physics and Astronomy Iowa State University.

5% #8. earth/moon force 48% 9%(s.d. = 3%) 41% [wrong direction]2% B A E M E M E M E M E M E M F E D C #8. Which of these diagrams most closely represents the gravitational forces that the earth and moon exert on/ for first-semester topics –carry out class testing –build response database with use of electronic response system Test at other institutions Active-Learning Curricular Materials for Fully Interactive Physics Lectures Development of new conceptual-question sequences for interactive lectures –focus/


Bringing learning to life Diploma aggregation service e-Learning for CABs Summer 2010 Welcome to the Diploma aggregation service e-Learning tool for component.

my home page? If you click on the help button a new screen will automatically open and display help text Use the Logout button to exit the system Bringing learning to life Diploma aggregation service e-Learning for CABs Summer 2010 What is the notice board? The notice board allows you to receive and view notifications that have been triggered by centres and DAS/


The recent history of second language learning research and human learning Part I L1 Acquisition.

(8) Form-focused instruction: (a) Does form-focused instruction work? Yes, but it depends on the target structure being taught e.g plurals (i) item learning (effective in instruction)/system learning (ii) the Teachability Hypothesis by Penemann: Instruction can only promote language acquisition if the interlanguage is close to the point when the structure to be taught is acquired in the /


1 MIS, Chapter 5 ©2013 Course Technology, a part of Cengage Learning PROTECTING INFORMATION RESOURCES CHAPTER 5 Hossein BIDGOLI MIS.

with Information Technologies Misuses of information technology –Invade users’ privacy –Commit computer crimes Minimize or prevent by: –Installing operating system updates regularly –Using antivirus and antispyware software –Using e-mail security features 4 MIS, Chapter 5 ©2013 Course Technology, a part of Cengage Learning Chapter 5 Protecting Information Resources Spyware and Adware Spyware –Software that secretly gathers information about users while they browse/


Teoritë, konceptet dhe fushat e të mësuarit Fjalët kyçe: Learning Theories (teoritë e të mësuarit) Learning Domains (fushat e të mësuarit) Learning Concepts.

Theory Structure of Intellect (J. Guilford) Structure of Intellect Subsumption Theory (D. Ausubel) Subsumption Theory Symbol Systems (G. Salomon) Symbol Systems Triarchic Theory (R. Sternberg) (komponental, eksperimental dhe kontekstual) Triarchic Theory Transformational Theory (J. Meziroë) (teoria e riinterpretimit) Transformational Theory Learning Domains Computers Concepts Decision Making Engineering (projektimi) Engineering Language Management Mathematics Perception Problem Solving Procedures Reading/


UCLA Leadership Institute Addressing Barriers to Learning & Teaching and Re-engaging Disconnected Students.

Groups Focused on Individual Students (Leadership Team & Work Groups) (Leadership Team & Work Groups) Moderate- Severe problems Disability concerns UCLA Leadership Beyond the School for Enhancing a System of Learning Supports For a family of schools (e.g., feeder pattern) 1-2 representatives from each School-Based Leadership Team Facilitator for a Multi-site Resource Council At the district Level 1-2 representatives from/


E-Learning Services Empowering Students & Teachers.

/ unit / topic wise) Question & AnswersQuestion & Answers Take simulated exams and get online evaluation with solutionsTake simulated exams and get online evaluation with solutions e-Learning Courses Foundation level (IT) IT Tools and Applications IT Tools and Applications Business Systems Business Systems Internet and Web Page Designing Internet and Web Page Designing Programming and Problem Solving through C Language Programming and Problem Solving through C/


CS760 – Machine Learning Course Instructor: David Page Course Instructor: David Page office: MSC 6743.

I/O Pairs Decision trees (e.g., Quinlan’s C4.5 [1993])Decision trees (e.g., Quinlan’s C4.5 [1993]) Connectionism / neural networks (e.g., backprop)Connectionism / neural networks (e.g., backprop) Nearest-neighbor methodsNearest-neighbor methods Genetic algorithmsGenetic algorithms SVM’sSVM’s Learning without Feedback/TeacherLearning without Feedback/Teacher Conceptual clusteringConceptual clustering Self-organizing systemsSelf-organizing systems Discovery systemsDiscovery systems Not in Mitchell’s textbook/


Presentation to States U.S. Departments of Education and Health and Human Services September 13, 2011 Race to the Top – Early Learning Challenge (RTT-ELC)

, staff retention, staff compensation, work environment, and all applicable data reported as part of the State’s Tiered Quality Rating and Improvement System; and (g) Child-level program participation and attendance data. (E)(2) Building or enhancing an early learning data system to improve instruction, practices, services, and policies 9/13/2011 Special Populations 107 Including Special Populations Consider how will you address the/


1 Data Mining & Machine Learning Introduction Intelligent Systems Lab. Soongsil University Thanks to Raymond J. Mooney in the University of Texas at Austin,

play checkers; or to recognize tables having already learned to recognize chairs; or to learn Spanish having already learned Italian. Achieving significant levels of transfer learning across tasks -- that is, achieving cumulative learning -- is perhaps the central problem facing machine learning. 53 Designing a Learning System 1. Choose the training experience 2. Choose exactly what is to be learned, i.e. the target function. 3. Choose how to represent the/


Towards a Unified e-Learning Strategy Consultation exercise Association of Learning Technologies Policy Summit 8 July 2003 Diana Laurillard Head, e-Learning.

Quality at scale Do you agree with our vision for e- learning? A 21 st century education system Objectives of current DfES strategies Contributions from e-learning Strategic actions to embed e- learning across all sectors Proposed e-learning strategy – taking us to a 21stC education system Leading sustainable e- learning Supporting innovation in teaching and learning Developing the education workforce Building a better e-learning market Aligning assessment Assuring technical and quality standards Unifying/


 An Advanced Web 3D Mobile e-Learning System to Manage Virtual Courses and Multimedia Flavio Fontana, ENEA Usability Lab, Department of Computer Science,

between the results. Obviously ULAB aim is to obtain a more specific approach for e-learning purpose. An Advanced Web 3D Mobile e-Learning System to Manage Virtual Courses and Multimedia 2011 Summer School Ovidius Univerisity Virtual World 3D Search/; - Whiteboard; - Calendar; - Book; - Personal Computer; - Other. The 3D Objects An Advanced Web 3D Mobile e-Learning System to Manage Virtual Courses and Multimedia 2011 Summer School Ovidius Univerisity VW-3D / Matrix layer The 3D Objects The schema shows the/


Investigating and Improving Student Learning through Physics Education Research David E. Meltzer Department of Physics and Astronomy Iowa State University.

through analysis of written and verbal explanations of their reasoning, supplemented by multiple-choice diagnostics Assess learning through measures derived from pre- and post-instruction testing What PER Can NOT Do Determine “philosophical/question sequences, focused on specific concept: small conceptual “step size” Use student response system to obtain instantaneous responses from all students simultaneously (e.g., “flash cards”) –Extension to highly interactive physics demonstrations (K. Manivannan /


AGL AUTONOMOUS GROUP LEARNING Dr. Bob Boland Boland1.

every task in the time allowed. A pattern of learning methods will include: (a)Program learning (b)Case analysis (c)Role assignments (6)Lectures (e)Quizzes (f) Learning patterns (g)Homework readings and exercises (h) CAI (I) Learning recall tape.. 6/8 1.7a LEARNING PATTERNS LEARNING OBJECTIVES Language and Concepts Capital Budgeting Measures of Investment CIA Systems Communication with Specialists DCF Technique before and after tax = CONFIDENCE/


E-Learning: An Information Security Perspective Dr. Mohd Faiz Hilmi School of Distance Education Universiti Sains Malaysia Yanti Mustapha Universiti Teknologi.

planning. 26 Domain 6: Business Continuity and Disaster Recovery Planning Availability is an important aspect of an E-Learning system. ◦ Students and staff are dependent on the system for their learning and teaching. ◦ System outages will interrupt students learning. Continuous available (uninterrupted) access to E- Learning system is paramount to the success of an E- Learning system (Crisp, 2002). ◦ must have a solid assessment, development, implementation and management of continuity planning. 27 Domain/


© 2012 Cengage Learning. All Rights Reserved. Principles of Business, 8e C H A P T E R 11 SLIDE 1 11-1 11-1Computer Systems 11-2 11-2Business Applications.

Checkpoint ●What are common input devices? ●Common input devices include keyboard, mouse, game controller, joystick, touch- sensitive screen, scanner, voice-activated system, microphone, and camera. © 2012 Cengage Learning. All Rights Reserved. Principles of Business, 8e C H A P T E R 11 SLIDE 13 MEMORY AND OUTPUT ●Memory and Storage: Saving for later ●Internal storage ●Within the computer ●Memory capacity measured units/


1 MIS, Chapter 10 ©2013 Course Technology, a part of Cengage Learning BUILDING SUCCESSFUL INFORMATION SYSTEMS CHAPTER 10 Hossein BIDGOLI MIS.

service –Production scheduling 60 MIS, Chapter 10 ©2013 Course Technology, a part of Cengage Learning Chapter 10 Building Successful Information Systems E-marketplaces Third-party exchange –Provides a platform for buyers and sellers to interact with each /channels can 62 MIS, Chapter 10 ©2013 Course Technology, a part of Cengage Learning Chapter 10 Building Successful Information Systems E-marketplaces (cont’d.) E-distributor –Marketplace owned and operated by a third party that provides an electronic /


The e-Learning Evolution The e-Learning Evolution The e-Learning Evolution The e-Learning Evolution  Explore the role of Medical Informatics in teaching.

–SQU. OMAN The e-Learning Evolution The e-Learning Evolution The e-Learning Evolution The e-Learning Evolution Types of e-Learning Environments in Medicine  Computerized clinical simulation  Expert system  Intelligent tutoring system  Interactive multimedia learning environment  Web-based learning ICT_Learn2004 October 11-13, 2004 At the College of Medicine & Health Sciences –SQU. OMAN The e-Learning Evolution The e-Learning Evolution The e-Learning Evolution The e-Learning Evolution  Laparoscopic/


What is a system of learning supports? a policy perspective.

focus, of course, is on minimizing fragmentation, wasteful redundancy, and counterproductive competition. To do this involves: Using an umbrella framework in developing a Comprehensive System of Learning Supports (an Enabling Component to address barriers to learning and teaching (e.g., all three levels and six content arenas) Redeploying existing resources and braiding (rather than blending) funds from:  general funds  compensatory education  safe and drug/


Kansas State University Department of Computing and Information Sciences CIS 798: Intelligent Systems and Machine Learning Thursday, October 7, 1999 William.

((T S  Forest.Find(e.Start))  (T E  Forest.Find(e.End))) THEN  (lg * |E|) E’.Union(e)// append edge e; E’.Size++  (1) Forest.Union (T S, T E )// Forest.Size--  (1) –RETURN E’  (1) Running Time:  (|E| lg |E|) =  (|V| 2 lg |V| 2 ) =  (|V| 2 lg |V|) =  (n 2 lg n) Kansas State University Department of Computing and Information Sciences CIS 798: Intelligent Systems and Machine Learning Learning Structure: Overfitting Prevention and/


Introduction Introduction Dr. Khaled Wassif Spring 2008-2009 Machine Learning.

. What evidence can we get from biological learning systems? What evidence can we get from biological learning systems? –E.g. artificial neural networks, evolutionary algorithms How can systems alter their own representations? How can systems alter their own representations? –E.g. choosing from among different types of classifiers, learning to learn Some Issues in Machine Learning Machine Learning By Dr. Khaled Wassif Slide 1- 30 Learning can be viewed as using direct or/


1 Integrating Learning in Interactive Gaming Simulators David W. Aha 1 & Matthew Molineaux 2 1 Intelligent Decision Aids Group Navy Center for Applied.

Interface Description Reasoning Interface Description Evaluation Methodology Description Defines communication processes with the game engine Defines communication processes with the learning system Defines interpretation of the game e.g., initial state, classes, operators, behaviors (rules) Behaviors could be used to provide constraints on learning Defines the selected learning and performance tasks Selected from the game model description Defines the empirical evaluation to conduct 11 Integrating/


The Innovation Imperative: Student Centered Learning Models Richard Sweeney 973-596-3208 research Part 1 What does the research say about.

.edu Richard Sweeney 973-596-3208 OCLC Environmental Scan: Pattern Recognition (2003) http://www.oclc.org/reports/escan/ Proliferation of e-learning E-learning has a presence in most large corporations and in an ever increasing number of college and university courses. Course management systems such as WebCT and Blackboard allow for the creation of a virtual classroom where faculty and students can interact and/


Hi-cited e-learning research: based on users’ perspectives 植基於使用者觀點之高引用數位學 習研究 廖述盛 Shu-Sheng Liaw.

characteristics (such as perceived self-efficacy and anxiety). Thinking area Explain the advantages of e-learning. Explain factors of developing effective e- learning systems. Hi-cited e-learning research: based on users’ perspectives Web of Science 標題 =(e-learning) 時間範圍 = 所有年份. 資料庫 =SCI- EXPANDED, SSCI. 結果數 :1723 April 26, 2013 Top 15 cited e-learning papers 標題作者出處引用次數 The impact of e-learning in medical education Ruiz, JG; Mintzer, MJ; Leipzig, RM ACADEMIC MEDICINE, 81(3), 2006 202 Factors affecting/


AVENUE/LETRAS: Learning-based MT for Languages with Limited Resources Faculty: Jaime Carbonell, Alon Lavie, Lori Levin, Ralf Brown, Robert Frederking Students.

and distributional information Mar 1, 2006AVENUE/LETRAS6 AVENUE MT Approach Interlingua Syntactic Parsing Semantic Analysis Sentence Planning Text Generation Source (e.g. Quechua) Target (e.g. English) Transfer Rules Direct: SMT, EBMT AVENUE: Automate Rule Learning Mar 1, 2006AVENUE/LETRAS7 Avenue Architecture Learning Module Learned Transfer Rules Lexical Resources Run Time Transfer System Decoder Translation Correction Tool Word- Aligned Parallel Corpus Elicitation Tool Elicitation Corpus ElicitationRule/


Rome May 31st, 2006 University towards E-learning: a Focus on Finland, France and Italy1 CONFERENCE University towards E-learning: a Focus on Finland,

to assess both the  educational service (product assessment) and the and the  management system thereof (system assessment) Rome May 31st, 2006 University towards E-learning: a Focus on Finland, France and Italy16 With reference to the With reference to the /for the management of the programme itself. Rome May 31st, 2006 University towards E-learning: a Focus on Finland, France and Italy41 Dimension Management System and Organisational Structure Engagement in favour of a management for quality of the /


1 Data Mining & Machine Learning Introduction Intelligent Systems Lab. Soongsil University Thanks to Raymond J. Mooney in the University of Texas at Austin,

. ( 시스템 자체에서 예제를 구축 ) Learner can design and run experiments directly in the environment without any human guidance. ( 사람의 도움없이 시스템이 새로운 문제틀을 제시함 ) 51 Designing a Learning System 1. Choose the training experience 2. Choose exactly what is to be learned, i.e. the target function. 3. Choose how to represent the target function. 4. Choose a learning algorithm to infer the target function from the experience. Environment/ Experience Learner Knowledge Performance Element 52/


Developing Improved Curricula and Instructional Methods based on Physics Education Research David E. Meltzer Department of Physics and Astronomy Iowa State.

process believe that net work done and net heat absorbed by a system undergoing a cyclic process must be zero are unable to apply the First Law of Thermodynamics in problem solving Primary Learning Difficulties Failure to recognize “work” as energy-transfer mechanism lies at/5%) smaller 5% #8. earth/moon force 48% 9%(s.d. = 3%) 41% [wrong direction]2% B A E M E M E M E M E M E M F E D C #8. Which of these diagrams most closely represents the gravitational forces that the earth and moon exert on each other? /


A The New Science of Learning Developed by Professor Terry Doyle Ferris State University

). When is an illustration worth ten thousand words? Journal of Educational Psychology, 82, 715-726. Mayer, R. E., & Moreno, R. (2001). A split-attention effect in multimedia learning: Evidence for dual information processing systems in working memory. Journal of Educational Psychology, 90, 000-000. Mayer, R. E., & Sims, V. K. (1994). For whom is a picture worth a thousand words? Extensions of a dual/


1 Machine Learning Methods for Decision Support and Discovery Constantin Aliferis M.D., Ph.D., Ioannis Tsamardinos Ph.D. Discovery Systems Laboratory,

not just the input- output patterns of the training data). Thus the system will learn (i.e., generalize) from training data the general input-output function for our diagnosis problem. 10 A (Simplified) Motivating Example What are the principles and specific methods that enable the creation of such learning systems? What flavors of learning systems currently exist? What are their capabilities and limitations? …These are some of/


MAY 6, 2006 BUSINESS-DRIVEN STRATEGIC PLANNING FOR LEARNING & DEVELOPMENT ONE DAY WORKSHOP ©RAY SVENSON CONSULTING, 2006 ASTD 2006 INTERNATIONAL CONFERENCE.

best practices conferences for the intervention teams During 2006/2007  Full-scale assault on all underperforming stores  Full implementation of Store Workplace Learning System and other permanent Retail Empire University learning systems (e.g., Learning Center, Training/Model Stores) PHASE 4: Future L&D System Architecture BUSINESS-DRIVEN STRATEGIC PLANNING FOR TRAINING & DEVELOPMENT ASTD 2006 INTERNATIONAL CONFERENCE & EXPOSITION ©RAY SVENSON CONSULTING, 2006 www.raysvensonconsulting.com 164 Store/


Research in Physics Education and the Connection to Classroom Teaching David E. Meltzer Department of Physics and Astronomy Iowa State University.

Physics Classes De-emphasis of lecturing; Instead, ask students to respond to many questions. Use of classroom communication systems to obtain instantaneous feedback from entire class. Cooperative group work using carefully structured free-response worksheets Goal: Transform large-class learning environment into “office” learning environment (i.e., instructor + one or two students) “Fully Interactive” Physics Lecture DEM and K. Manivannan, Am. J. Phys. 70/


© CCI Learning Solutions Inc. 1 Unit 1: Recognizing Computers LessonTopic 1Computers All Around Us 2Looking at Networks 3Elements of a Personal Computer.

government rules or requirements, or external factors Registering copy of software provides notices whenever update or upgrade available −Can receive via postal mail, e-mail, or online system Need to update software depends on software and whether update warranted © CCI Learning Solutions Inc. 95 Upgrading Your Software Drawbacks to updating software include: −Incompatibility or conflicts with other software −Incompatibility or conflicts with operating/


© 2016 Cengage Learning ®. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part.

Business Mobile commerce (m-commerce): the use of mobile, wireless devices to place orders and conduct business E-commerce offers many advantages for streamlining work activities Electronic business (e-business) uses information systems and the Internet to perform all business-related tasks and functions 35 © 2016 Cengage Learning ®. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible/


Measuring the Power of Learning.™ California Assessment of Student Performance and Progress (CAASPP) CAASPP Workshops January 28, 2016- General Overview.

delay the reporting of results in ORS, Student Score Reports, and data files. Measuring the Power of Learning.™ 2015–16 CAASPP Pretest Administration Workshop 145 Online Reporting System New: Addition of CAAs scores in the fall 2016 New: Expanded to include additional demographic fields (i.e., same fields that are included in CAASPP Web reporting site) for aggregate reporting New: Ability to create/


E-Learning course. Introduction to Reliability Engineering e-Learning course. 1 Introduction to Reliability Engineering e-learning course, CERN. Introduction.

n = number of subsystems i = Failure rate of the i th system Rp i = Repair Time for the i th unit e-Learning course. Introduction to Reliability Engineering e-Learning course. Introduction to Reliability Engineering 34 Probability of Repair Within the Allowable / (MTTR) M pt is the mean active time for preventive maintenance e-Learning course. Introduction to Reliability Engineering e-Learning course. Introduction to Reliability Engineering Example : A system has a MTBMA of 110 hours, a F c of ½, a/


SOCSAMS e-learning Dept. of Computer Applications, MES College Marampally FILE SYSTEM.

Computer Applications, MES College Marampally Name Size Type Identifier Location Date and Time Protection File Attributes A unique tag, usually a number that helps the file system to recognize the file within the file system. SOCSAMS e-learning Dept. of Computer Applications, MES College Marampally Name Size Type Identifier Location Date and Time Protection File Attributes A pointer that stores location information of the/


Chapter 1: Introduction to Expert Systems Expert Systems: Principles and Programming, Fourth Edition.

I have a disease is one minus the probability that I don’t have it.” Symbolically, P(H|E) = 1 – P(H’|E), where E represents evidence 268 4/4/2011 Likelihood of Belief / Disbelief The reluctance by the physicians stems from the /dribble-on/offrandom sortapropos string-to-field Chapter 11: Classes, Instances, and Message- Handlers Expert Systems: Principles and Programming, Fourth Edition 529 Objectives Learn how to define a class using the defclass construct See how to create instances of classes using/


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