This document discusses how to configure and troubleshoot operating system settings in Windows XP, including the taskbar, Start menu, regional and language options, folder settings, and file associations. It also introduces several Windows XP troubleshooting utilities that can be used to optimize system performance and check for issues. Key settings covered include customizing the taskbar and Start menu, adding and removing languages, setting regional formats and keyboard layouts, and managing file type associations.
This document provides instructions for using the social bookmarking site del.icio.us, including creating an account, installing browser buttons, bookmarking websites and adding tags, searching for bookmarks by tag, and sharing tags with other del.icio.us members.
Data preprocessing is a technique used to prepare raw data for data mining by cleaning data, handling missing values, smoothing noisy data, and reducing data size. It involves techniques such as data cleaning, integration, transformation, and reduction. Data cleaning identifies and removes errors and inconsistencies. Data integration merges data from multiple sources. Data transformation operations like normalization prepare data for certain algorithms. Data reduction reduces data size through aggregation, attribute selection, and other techniques. Preprocessing resolves issues in raw data to improve data mining results.
MS SQL SERVER: Microsoft sequence clustering and association rulesDataminingTools Inc
This document provides an overview of Microsoft Sequence Clustering and Association Rules algorithms in SQL Server Analysis Services. It describes how sequence clustering models group sequences into clusters based on identical transitions between states. It also explains how association rule mining analyzes frequent patterns in transactional data to generate rules and make recommendations. Key parameters for each algorithm like minimum support, cluster count, and maximum itemset size are also outlined.
Graph mining 2: Statistical approaches for graph miningtuxette
This document summarizes a talk on statistical approaches for graph mining. It introduces basic graph terminology and describes some standard global and local numerical characteristics for describing graph structure. These characteristics are calculated for a toy graph dataset and compared to random graph null models to identify which characteristics have unexpectedly high or low values compared to the random graphs. Clustering methods for graph mining are also outlined but not described in detail.
The document discusses frequent pattern mining and the Apriori algorithm. It introduces frequent patterns as frequently occurring sets of items in transaction data. The Apriori algorithm is described as a seminal method for mining frequent itemsets via multiple passes over the data, generating candidate itemsets and pruning those that are not frequent. Challenges with Apriori include multiple database scans and large number of candidate sets generated.
This document provides instructions for using the social bookmarking site del.icio.us, including creating an account, installing browser buttons, bookmarking websites and adding tags, searching for bookmarks by tag, and sharing tags with other del.icio.us members.
Data preprocessing is a technique used to prepare raw data for data mining by cleaning data, handling missing values, smoothing noisy data, and reducing data size. It involves techniques such as data cleaning, integration, transformation, and reduction. Data cleaning identifies and removes errors and inconsistencies. Data integration merges data from multiple sources. Data transformation operations like normalization prepare data for certain algorithms. Data reduction reduces data size through aggregation, attribute selection, and other techniques. Preprocessing resolves issues in raw data to improve data mining results.
MS SQL SERVER: Microsoft sequence clustering and association rulesDataminingTools Inc
This document provides an overview of Microsoft Sequence Clustering and Association Rules algorithms in SQL Server Analysis Services. It describes how sequence clustering models group sequences into clusters based on identical transitions between states. It also explains how association rule mining analyzes frequent patterns in transactional data to generate rules and make recommendations. Key parameters for each algorithm like minimum support, cluster count, and maximum itemset size are also outlined.
Graph mining 2: Statistical approaches for graph miningtuxette
This document summarizes a talk on statistical approaches for graph mining. It introduces basic graph terminology and describes some standard global and local numerical characteristics for describing graph structure. These characteristics are calculated for a toy graph dataset and compared to random graph null models to identify which characteristics have unexpectedly high or low values compared to the random graphs. Clustering methods for graph mining are also outlined but not described in detail.
The document discusses frequent pattern mining and the Apriori algorithm. It introduces frequent patterns as frequently occurring sets of items in transaction data. The Apriori algorithm is described as a seminal method for mining frequent itemsets via multiple passes over the data, generating candidate itemsets and pruning those that are not frequent. Challenges with Apriori include multiple database scans and large number of candidate sets generated.
The document discusses audio mining, which uses speech recognition technology to analyze digitized audio content like newscasts and meetings and create searchable indexes. It describes two main approaches: text-based indexing that converts speech to text, and phoneme-based indexing that works with sounds instead of text. Several challenges of audio mining are discussed, such as improving precision for applications like medical transcription. Potential uses of audio mining include analyzing customer service calls and intercepted phone conversations.
The document discusses graph-based clustering methods. It describes how graphs can be used to represent real-world networks from domains like biology, technology, social networks, and economics. It introduces the idea of using minimal spanning trees and hierarchical clustering to identify clusters in graph data. Two common algorithms for finding minimal spanning trees are described: Prim's algorithm and Kruskal's algorithm. Different strategies for iteratively deleting branches from the minimal spanning tree are also summarized to form clusters, such as deleting the branch with the maximum weight or inconsistent branches based on a reference value.
This document discusses cluster analysis, which is the process of grouping a set of data into clusters. Cluster analysis is used to discover distinct groups or segments in data like customer bases. It groups observations so that observations within each cluster are similar to each other but dissimilar to observations in other clusters. Cluster analysis is used in marketing to develop targeted programs for different customer segments. Insurance companies also use it to group drivers into risk levels and set premiums accordingly. The document provides steps for performing cluster analysis using SPSS, including warnings about variables to avoid and ideal numbers of clusters.
Mining Frequent Patterns, Association and CorrelationsJustin Cletus
This document summarizes Chapter 6 of the book "Data Mining: Concepts and Techniques" which discusses frequent pattern mining. It introduces basic concepts like frequent itemsets and association rules. It then describes several scalable algorithms for mining frequent itemsets, including Apriori, FP-Growth, and ECLAT. It also discusses optimizations to Apriori like partitioning the database and techniques to reduce the number of candidates and database scans.
- The document discusses K-means clustering and hierarchical clustering.
- It provides an overview of the K-means clustering algorithm, including how it aims to optimize clustering by minimizing distortion and finding cluster centroids.
- The K-means algorithm involves assigning points to centroids, updating centroids to be the mean of each cluster, and repeating until convergence.
The document summarizes the CURE clustering algorithm, which uses a hierarchical approach that selects a constant number of representative points from each cluster to address limitations of centroid-based and all-points clustering methods. It employs random sampling and partitioning to speed up processing of large datasets. Experimental results show CURE detects non-spherical and variably-sized clusters better than compared methods, and it has faster execution times on large databases due to its sampling approach.
Hierarchical clustering is a method of partitioning a set of data into meaningful sub-classes or clusters. It involves two approaches - agglomerative, which successively links pairs of items or clusters, and divisive, which starts with the whole set as a cluster and divides it into smaller partitions. Agglomerative Nesting (AGNES) is an agglomerative technique that merges clusters with the least dissimilarity at each step, eventually combining all clusters. Divisive Analysis (DIANA) is the inverse, starting with all data in one cluster and splitting it until each data point is its own cluster. Both approaches can be visualized using dendrograms to show the hierarchical merging or splitting of clusters.
Ubuntu is a Linux operating system based on Debian that emphasizes simplicity and freedom. It uses the Linux kernel and consists of free software. Ubuntu aims to give users freedom over the software, including accessing source code and modifying or redistributing the software. Major editions include Ubuntu Desktop and Server. It supports common computer architectures and has variants customized for different uses. Popular applications included in Ubuntu are Firefox, LibreOffice, GIMP, and Thunderbird. Ubuntu is a popular choice due to its simplicity, large software repository, active community support, and regular free updates.
This document discusses data preprocessing techniques. It defines data preprocessing as transforming raw data into an understandable format. The major tasks in data preprocessing are data cleaning, integration, reduction, transformation, and discretization. Data cleaning involves handling missing values, noise, and inconsistencies. Data integration merges data from multiple sources to reduce redundancies and inconsistencies. Data reduction obtains a smaller representation of data through techniques like aggregation, attribute selection, and dimensionality reduction. Data transformation consolidates data into appropriate forms for mining through operations like smoothing, aggregation, normalization, and generalization. Data discretization divides continuous attributes into intervals to reduce data size and prepare for further analysis.
The document discusses graph data mining and provides the following key points:
1. It outlines topics in graph data mining including frequent subgraph mining, graph indexing, similarity search, classification, and clustering.
2. Frequent subgraph mining aims to discover subgraphs that occur frequently in a graph database based on a minimum support threshold.
3. Graph indexing and similarity search techniques aim to enable efficient subgraph search in large graph databases by indexing substructures.
Deep learning is a machine learning technique that uses artificial neural networks with multiple hidden layers to learn representations of data by increasing the level of abstraction from lower to higher layers. It has proven effective for multimedia data mining tasks like image tagging and caption generation. Deep neural networks can extract meaningful patterns from high-dimensional input using convolutional and recurrent layers, whereas shallow networks are limited. While deep learning has achieved good results, supervised approaches require large labeled datasets.
This document discusses different types of clustering analysis techniques in data mining. It describes clustering as the task of grouping similar objects together. The document outlines several key clustering algorithms including k-means clustering and hierarchical clustering. It provides an example to illustrate how k-means clustering works by randomly selecting initial cluster centers and iteratively assigning data points to clusters and recomputing cluster centers until convergence. The document also discusses limitations of k-means and how hierarchical clustering builds nested clusters through sequential merging of clusters based on a similarity measure.
El documento habla sobre el BIOS (Basic Input-Output System), un programa incorporado en la placa base que se encarga de inicializar el hardware y permitir la entrada y salida de datos. Explica que el BIOS se almacena en un chip y puede ser de solo lectura (ROM), borrable con luz (EPROM) o reprogramable eléctricamente (Flash BIOS). También cubre cómo funciona el BIOS, sus diferentes secciones de configuración y los principales fabricantes.
Cluster analysis involves grouping data objects into clusters so that objects within the same cluster are more similar to each other than objects in other clusters. There are several major clustering approaches including partitioning methods that iteratively construct partitions, hierarchical methods that create hierarchical decompositions, density-based methods based on connectivity and density, grid-based methods using a multi-level granularity structure, and model-based methods that find the best fit of a model to the clusters. Partitioning methods like k-means and k-medoids aim to optimize a partitioning criterion by iteratively updating cluster centroids or medoids.
El documento describe los componentes clave del sistema BIOS de una computadora. Explica que el BIOS (Basic Input/Output System) es el software fundamental que permite que una computadora funcione y realiza comprobaciones al encenderse. También describe otros componentes como el CMOS, la memoria flash BIOS, el chipset, la NVRAM y el firmware, y explica lo que hace la prueba POST al iniciar el sistema.
The document introduces data preprocessing techniques for data mining. It discusses why data preprocessing is important due to real-world data often being dirty, incomplete, noisy, inconsistent or duplicate. It then describes common data types and quality issues like missing values, noise, outliers and duplicates. The major tasks of data preprocessing are outlined as data cleaning, integration, transformation and reduction. Specific techniques for handling missing values, noise, outliers and duplicates are also summarized.
El BIOS es un sistema básico de entrada y salida de datos que maneja la placa madre e incluye componentes como la CMOS RAM, la ROM BIOS y una pila. La CMOS RAM almacena la configuración actual con la ayuda de la pila, mientras que la ROM BIOS contiene programas POST y Setup. El BIOS realiza pruebas de arranque del hardware y muestra mensajes durante el proceso de inicio mediante pitidos y mensajes en pantalla. Puede actualizarse a través de la página del fabricante para admitir hardware más nuevo.
This document describes a new clustering tool for data mining called RAPID MINER. It discusses the need for clustering in applications like customer segmentation. The project aims to develop a new clustering algorithm using preprocessing techniques like removing null values and redundant data. It will implement clustering to distribute data into groups so that association is strong within clusters and weak between clusters. The document compares the new tool to Weka, discusses how it uses KD trees to improve efficiency over K-means clustering, and concludes that the new algorithm chooses better starting clusters and filters data faster using KD trees.
This 23-step guide demonstrates how to perform a clean installation of Windows 7. The steps include setting the BIOS to boot from the installation DVD, selecting language and keyboard settings, choosing the installation type and destination drive, and completing the installation process. After restarting, the user configures the account and activates Windows 7. Finally, the guide checks that all hardware drivers are installed correctly.
This document discusses how to troubleshoot and customize the Windows desktop, including the notification area, taskbar, Start menu, accessibility options, and language and regional settings. It provides instructions for adding and removing items from the notification area and taskbar, hiding inactive icons, locking the taskbar, grouping taskbar items, and configuring languages. Common issues involve accidentally changing the default language or issues with keyboard functions after a language switch. Troubleshooting tips include using the Taskbar and Start Menu Properties dialog box and Regional and Language Options dialog box.
The document provides an overview of the computer lab and its equipment and file management procedures for a design course. It describes the various printers, plotters, scanners, and copiers available in the lab for student use. It outlines best practices for file storage, including saving files to personal flash drives and network drives rather than the lab computers. It also reviews controls for mouse, keyboard, and basic file management tasks in Windows like organizing, searching and properties.
The document discusses audio mining, which uses speech recognition technology to analyze digitized audio content like newscasts and meetings and create searchable indexes. It describes two main approaches: text-based indexing that converts speech to text, and phoneme-based indexing that works with sounds instead of text. Several challenges of audio mining are discussed, such as improving precision for applications like medical transcription. Potential uses of audio mining include analyzing customer service calls and intercepted phone conversations.
The document discusses graph-based clustering methods. It describes how graphs can be used to represent real-world networks from domains like biology, technology, social networks, and economics. It introduces the idea of using minimal spanning trees and hierarchical clustering to identify clusters in graph data. Two common algorithms for finding minimal spanning trees are described: Prim's algorithm and Kruskal's algorithm. Different strategies for iteratively deleting branches from the minimal spanning tree are also summarized to form clusters, such as deleting the branch with the maximum weight or inconsistent branches based on a reference value.
This document discusses cluster analysis, which is the process of grouping a set of data into clusters. Cluster analysis is used to discover distinct groups or segments in data like customer bases. It groups observations so that observations within each cluster are similar to each other but dissimilar to observations in other clusters. Cluster analysis is used in marketing to develop targeted programs for different customer segments. Insurance companies also use it to group drivers into risk levels and set premiums accordingly. The document provides steps for performing cluster analysis using SPSS, including warnings about variables to avoid and ideal numbers of clusters.
Mining Frequent Patterns, Association and CorrelationsJustin Cletus
This document summarizes Chapter 6 of the book "Data Mining: Concepts and Techniques" which discusses frequent pattern mining. It introduces basic concepts like frequent itemsets and association rules. It then describes several scalable algorithms for mining frequent itemsets, including Apriori, FP-Growth, and ECLAT. It also discusses optimizations to Apriori like partitioning the database and techniques to reduce the number of candidates and database scans.
- The document discusses K-means clustering and hierarchical clustering.
- It provides an overview of the K-means clustering algorithm, including how it aims to optimize clustering by minimizing distortion and finding cluster centroids.
- The K-means algorithm involves assigning points to centroids, updating centroids to be the mean of each cluster, and repeating until convergence.
The document summarizes the CURE clustering algorithm, which uses a hierarchical approach that selects a constant number of representative points from each cluster to address limitations of centroid-based and all-points clustering methods. It employs random sampling and partitioning to speed up processing of large datasets. Experimental results show CURE detects non-spherical and variably-sized clusters better than compared methods, and it has faster execution times on large databases due to its sampling approach.
Hierarchical clustering is a method of partitioning a set of data into meaningful sub-classes or clusters. It involves two approaches - agglomerative, which successively links pairs of items or clusters, and divisive, which starts with the whole set as a cluster and divides it into smaller partitions. Agglomerative Nesting (AGNES) is an agglomerative technique that merges clusters with the least dissimilarity at each step, eventually combining all clusters. Divisive Analysis (DIANA) is the inverse, starting with all data in one cluster and splitting it until each data point is its own cluster. Both approaches can be visualized using dendrograms to show the hierarchical merging or splitting of clusters.
Ubuntu is a Linux operating system based on Debian that emphasizes simplicity and freedom. It uses the Linux kernel and consists of free software. Ubuntu aims to give users freedom over the software, including accessing source code and modifying or redistributing the software. Major editions include Ubuntu Desktop and Server. It supports common computer architectures and has variants customized for different uses. Popular applications included in Ubuntu are Firefox, LibreOffice, GIMP, and Thunderbird. Ubuntu is a popular choice due to its simplicity, large software repository, active community support, and regular free updates.
This document discusses data preprocessing techniques. It defines data preprocessing as transforming raw data into an understandable format. The major tasks in data preprocessing are data cleaning, integration, reduction, transformation, and discretization. Data cleaning involves handling missing values, noise, and inconsistencies. Data integration merges data from multiple sources to reduce redundancies and inconsistencies. Data reduction obtains a smaller representation of data through techniques like aggregation, attribute selection, and dimensionality reduction. Data transformation consolidates data into appropriate forms for mining through operations like smoothing, aggregation, normalization, and generalization. Data discretization divides continuous attributes into intervals to reduce data size and prepare for further analysis.
The document discusses graph data mining and provides the following key points:
1. It outlines topics in graph data mining including frequent subgraph mining, graph indexing, similarity search, classification, and clustering.
2. Frequent subgraph mining aims to discover subgraphs that occur frequently in a graph database based on a minimum support threshold.
3. Graph indexing and similarity search techniques aim to enable efficient subgraph search in large graph databases by indexing substructures.
Deep learning is a machine learning technique that uses artificial neural networks with multiple hidden layers to learn representations of data by increasing the level of abstraction from lower to higher layers. It has proven effective for multimedia data mining tasks like image tagging and caption generation. Deep neural networks can extract meaningful patterns from high-dimensional input using convolutional and recurrent layers, whereas shallow networks are limited. While deep learning has achieved good results, supervised approaches require large labeled datasets.
This document discusses different types of clustering analysis techniques in data mining. It describes clustering as the task of grouping similar objects together. The document outlines several key clustering algorithms including k-means clustering and hierarchical clustering. It provides an example to illustrate how k-means clustering works by randomly selecting initial cluster centers and iteratively assigning data points to clusters and recomputing cluster centers until convergence. The document also discusses limitations of k-means and how hierarchical clustering builds nested clusters through sequential merging of clusters based on a similarity measure.
El documento habla sobre el BIOS (Basic Input-Output System), un programa incorporado en la placa base que se encarga de inicializar el hardware y permitir la entrada y salida de datos. Explica que el BIOS se almacena en un chip y puede ser de solo lectura (ROM), borrable con luz (EPROM) o reprogramable eléctricamente (Flash BIOS). También cubre cómo funciona el BIOS, sus diferentes secciones de configuración y los principales fabricantes.
Cluster analysis involves grouping data objects into clusters so that objects within the same cluster are more similar to each other than objects in other clusters. There are several major clustering approaches including partitioning methods that iteratively construct partitions, hierarchical methods that create hierarchical decompositions, density-based methods based on connectivity and density, grid-based methods using a multi-level granularity structure, and model-based methods that find the best fit of a model to the clusters. Partitioning methods like k-means and k-medoids aim to optimize a partitioning criterion by iteratively updating cluster centroids or medoids.
El documento describe los componentes clave del sistema BIOS de una computadora. Explica que el BIOS (Basic Input/Output System) es el software fundamental que permite que una computadora funcione y realiza comprobaciones al encenderse. También describe otros componentes como el CMOS, la memoria flash BIOS, el chipset, la NVRAM y el firmware, y explica lo que hace la prueba POST al iniciar el sistema.
The document introduces data preprocessing techniques for data mining. It discusses why data preprocessing is important due to real-world data often being dirty, incomplete, noisy, inconsistent or duplicate. It then describes common data types and quality issues like missing values, noise, outliers and duplicates. The major tasks of data preprocessing are outlined as data cleaning, integration, transformation and reduction. Specific techniques for handling missing values, noise, outliers and duplicates are also summarized.
El BIOS es un sistema básico de entrada y salida de datos que maneja la placa madre e incluye componentes como la CMOS RAM, la ROM BIOS y una pila. La CMOS RAM almacena la configuración actual con la ayuda de la pila, mientras que la ROM BIOS contiene programas POST y Setup. El BIOS realiza pruebas de arranque del hardware y muestra mensajes durante el proceso de inicio mediante pitidos y mensajes en pantalla. Puede actualizarse a través de la página del fabricante para admitir hardware más nuevo.
This document describes a new clustering tool for data mining called RAPID MINER. It discusses the need for clustering in applications like customer segmentation. The project aims to develop a new clustering algorithm using preprocessing techniques like removing null values and redundant data. It will implement clustering to distribute data into groups so that association is strong within clusters and weak between clusters. The document compares the new tool to Weka, discusses how it uses KD trees to improve efficiency over K-means clustering, and concludes that the new algorithm chooses better starting clusters and filters data faster using KD trees.
This 23-step guide demonstrates how to perform a clean installation of Windows 7. The steps include setting the BIOS to boot from the installation DVD, selecting language and keyboard settings, choosing the installation type and destination drive, and completing the installation process. After restarting, the user configures the account and activates Windows 7. Finally, the guide checks that all hardware drivers are installed correctly.
This document discusses how to troubleshoot and customize the Windows desktop, including the notification area, taskbar, Start menu, accessibility options, and language and regional settings. It provides instructions for adding and removing items from the notification area and taskbar, hiding inactive icons, locking the taskbar, grouping taskbar items, and configuring languages. Common issues involve accidentally changing the default language or issues with keyboard functions after a language switch. Troubleshooting tips include using the Taskbar and Start Menu Properties dialog box and Regional and Language Options dialog box.
The document provides an overview of the computer lab and its equipment and file management procedures for a design course. It describes the various printers, plotters, scanners, and copiers available in the lab for student use. It outlines best practices for file storage, including saving files to personal flash drives and network drives rather than the lab computers. It also reviews controls for mouse, keyboard, and basic file management tasks in Windows like organizing, searching and properties.
ACH 245 Lecture 01 (Fundamentals) Vistaguest4eaf048
The document provides an overview of the computer lab and its equipment and file management procedures for a design course. It describes the various printers, plotters, scanners, and copiers available in the lab for student use. It outlines best practices for file storage, including saving files to personal flash drives and network drives rather than the lab computers. It also reviews controls for mouse, keyboard, and basic file management tasks in Windows like organizing, searching and properties.
The document discusses basic computer components and how to navigate and manipulate documents in a Windows environment. It covers the main parts of a computer system including the CPU, memory, input/output devices, and auxiliary storage. It then explains how to navigate Windows using the desktop, start menu, icons, and windows. It also covers how to start and use application programs, manage files and folders, and basic file operations like copying, moving and renaming files.
This document provides instructions on how to use Microsoft Word, including how to open and launch Word, create and save documents, insert and format text, and close Word. It discusses the Word interface including menus, toolbars, and the task pane. It demonstrates how to type text, save a file for the first time using an accurate file name, and exit out of Word.
Microsoft Word is a word processing program used to create, edit, format and print documents. It allows users to enter and manipulate text, insert images, check spelling and grammar, sort and search text, and perform numerous other tasks involved in drafting and publishing documents. The user interface includes tabs like Home, Insert and Page Layout that contain groups of commands for common formatting and editing functions. Different versions of Word may have slightly different appearances but include similar core features and commands.
This document provides an overview of basic Mac OS operations including starting and shutting down a computer, using input devices, installing and removing hardware, customizing the desktop environment, opening and closing applications, managing windows, organizing files and folders, and performing common tasks like creating, saving, and renaming files. It also lists some equivalent terms between Mac and PC systems like the start button, control panel, task bar, and file explorer.
This document provides an overview of Microsoft Word, including its main components and functions. It describes the user interface, including the title bar, buttons, ribbons, tabs and groups. It explains how to perform basic tasks like opening, saving, editing and formatting documents in Word. The objectives are to learn how to navigate the Word interface and utilize its features to create and modify documents.
The document discusses files, file types, and how to use the Run command in Windows. It defines a file as a collection of stored data with a filename. File types describe the structure and content of a file, and have associated file extensions like .doc for Word files. The Run command, accessed with Windows key + R, allows opening programs and files by name. Folder Options in Control Panel controls how files and folders are displayed.
The document provides information on naming files in DOS, types of files in DOS, the salient features of Windows Operating System over DOS, hardware required for Windows, parts of a window screen, anatomy of a window, booting in Windows, Windows Explorer, and features of word processing. It discusses rules for characters used in file names in DOS and reserved words that cannot be used. It lists common file extensions in DOS and describes the desktop, icons, taskbar, title bar, menu bar, tool bar, scroll bars, and status bar of a window. It outlines the hardware needed to run Windows and the steps involved in booting Windows.
The document provides an overview of the history and features of Mac OS X. It discusses the major releases from 1999 to 2007, including code names and new features. It covers the transition to Intel processors in 2006. System requirements for Tiger and Leopard are outlined. An overview of the Mac OS X interface is given, including the desktop, dock, menus, windows, and login process. File and disk management are also summarized.
This document provides an introduction to Ubuntu, an open-source Linux operating system. It discusses what Ubuntu is, why users would want to use it, its default applications, and recent Ubuntu releases. It then provides overviews of the Ubuntu desktop, panels, menus, icons, virtual desktops, and the Nautilus file browser. It discusses how files are handled in Ubuntu and basic day-to-day file management tasks. The document concludes with exercises for the reader to complete.
Microsoft Word is a word processing component of Microsoft Office used to create, edit, format, save, retrieve and print documents. It has a ribbon user interface with tabs like Home, Insert, Page Layout, and Review that contain groups of commands. The main screen includes a title bar, quick access toolbar, and buttons to minimize, maximize/restore, and close the window. Word allows editing and formatting of text, inserting pictures and other media, and includes tools for spell check, formatting pages, and tracking changes in shared documents.
This document provides guidance on installing and configuring Microsoft Office applications. It discusses pre-installation tasks like verifying compatibility and licensing, how to install the applications and complete the installation process, and how to personalize settings for things like toolbars, menus, file saves and proofing tools. Potential issues during installation like disk space or permission errors are also addressed. Finally, instructions are given on configuring options for editing, templates and language settings after Office is installed.
This document provides an overview of the user interface in Microsoft Word. It describes the main screen components like the title bar, minimize, maximize and close buttons, quick access toolbar, and ribbon tabs. The ribbon tabs include File, Home, Insert, Page Layout, References, Mailings, Review, and View, each containing different groups of commands related to formatting, editing, adding elements, page setup, writing formal documents, mass mailings, reviewing changes, and viewing documents. The document explains the purpose and functions of these various interface elements.
microsoft office word is a document creation application software which enables learners to create, edit, format, save, print and publish documents in any format needed by users. it is used to create reports, office documents like memos, reports, and invoices needed to mange business processes
This document provides an overview and introduction to using Microsoft Word. It outlines the main components of the Word interface, including the title bar, menu bar, quick access toolbar, ribbons, tabs and groups. It describes the purpose and functions of these interface elements such as saving documents, minimizing windows, and accessing common commands. The document also defines key terminology used in Word and provides examples of how to navigate and perform basic tasks.
This document provides an overview and introduction to using Microsoft Word. It outlines the main components of the Word interface, including the title bar, menu bar, quick access toolbar, ribbons, tabs and groups. It describes the purpose and functions of these interface elements such as saving documents, minimizing windows, and accessing common commands for editing, formatting, inserting objects and reviewing documents. The objectives are to learn how to perform basic tasks in Word like copying/pasting text, using toolbars and pointers, and editing/formatting documents.
This document provides an overview of the user interface in Microsoft Word. It describes the main screen components like the title bar, minimize, maximize and close buttons, quick access toolbar, and ribbon tabs. The ribbon tabs include File, Home, Insert, Page Layout, References, Mailings, Review, and View, each containing different groups of commands related to formatting, editing, adding elements, page setup, writing formal documents, mass mailings, reviewing changes, and viewing documents. The document explains the purpose and functions of these various interface elements.
Gene Carboni is the Business/Technology Chair at Father Judge High School for Boys in Philadelphia and has over 20 years of experience in education and facilitating the adoption of new technologies in schools. He aims to become a Google for Education Certified Trainer in order to introduce Google Apps for Education to schools in the Northeast US and help facilitate educational change through organizations like Powerful Learning Practice. Carboni is an active presenter and trainer who has helped over 500 educators adopt technologies like Google Docs and Drive.
This document discusses accrual versus cash basis accounting and the adjusting process. It begins by distinguishing between accrual accounting, where transactions are recorded when revenues are earned or expenses incurred, and cash basis accounting, where transactions are recorded when cash is paid or received. The key aspects of the adjusting process covered are: applying the revenue and matching principles, making adjusting entries for prepaid, accrued, and deferred items, preparing an adjusted trial balance, and using that to make the final financial statements. The overall goal is to ensure revenues and expenses are recorded in the appropriate accounting period.
Lesson 7 - Maintaining, Updating, and ProtectingGene Carboni
This document provides information on tools for maintaining, updating, and protecting Windows 7. It discusses Disk Defragmenter, Disk Cleanup, Task Scheduler, Action Center, System Information, the Windows Registry, Windows Updates, Windows Defender, Microsoft Security Essentials, and Microsoft Forefront Endpoint Protection. These tools help optimize performance, remove unnecessary files, automate tasks, monitor system status and security, manage updates, and protect against malware and viruses.
Lesson 6 - Understanding File and Print SharingGene Carboni
This document provides information about file and printer sharing in Windows 7. It discusses the different sharing methods available like HomeGroup, public folders, basic and advanced sharing. It explains how to set up sharing, map drives, manage permissions for shared items, and share printers. The key aspects covered are how to set up and use HomeGroup, turn sharing options on or off, set permissions for shared files and folders, and share an attached printer with other users on the network.
Lesson 8 - Understanding Backup and Recovery MethodsGene Carboni
This document discusses various backup and recovery methods in Windows. It covers creating file and system backups, restoring files from backups, creating system images, using System Restore to roll back to earlier system states, and accessing advanced recovery options like the recovery boot menu. The goal of backups and recovery options is to protect users from data loss and enable restoring systems and files if needed.
This document provides an overview of several native Windows applications and tools including: Internet Explorer 9, the Snipping Tool, Windows Media Player, Windows Media Center, Sync Center, Windows Mobility Center, Remote Desktop Services, Remote Desktop Connection, Windows Remote Assistance, Microsoft Management Console (MMC), and Windows PowerShell. The objectives are to understand how to use these applications and tools, and understand concepts related to operating system configurations, mobility, and remote management and assistance.
This document discusses managing devices in Windows 7. It covers disk and drive types, storage options like cloud storage, printers, and how to connect devices. Disk Management allows working with disks, drives, and volumes. Windows supports basic and dynamic disks with partitions and four main volume types. Storage includes local, network, and cloud options. Printing involves local, network, and internet printers. Plug-and-play enables automatic driver installation, and Device Manager helps manage all system devices.
Lesson 1 - Introducing, Installing, and Upgrading Windows 7Gene Carboni
The document discusses introducing, installing, and upgrading Windows 7. It covers the different editions of Windows 7, system requirements, upgrade paths from previous versions of Windows, and installation methods including high touch, lite touch, and zero touch installations. It also discusses using the Windows Upgrade Advisor, application compatibility, product keys, and transferring files and settings between computers using Windows Easy Transfer.
Lesson 4 - Managing Applications, Services, Folders, and LibrariesGene Carboni
This document covers managing applications, services, folders, and libraries in Windows. It discusses installing and uninstalling local and network applications, understanding services and how to configure them, using MSCONFIG to manage startup programs, comparing file systems like FAT, FAT32, and NTFS, using libraries to organize files across multiple folders, and methods for encrypting and compressing files for security and storage purposes like Encrypting File System, BitLocker, and compression.
Lesson 2 - Understanding Operating System ConfigurationsGene Carboni
The document discusses various aspects of operating system configurations in Windows 7, including user accounts, User Account Control (UAC), the Control Panel, accessibility options, desktop settings, and Microsoft virtualization products. It describes the different types of user accounts, UAC prompts and levels, tools in the Control Panel, how to configure desktop settings, and virtualization technologies like Windows XP Mode, Med-V, App-V, and VDI.
CHAPTER 3 Measuring Business Income: The Adjusting ProcessGene Carboni
This document discusses accrual versus cash basis accounting and the adjusting process. It provides examples of adjusting entries for prepaid expenses, supplies, depreciation, accrued expenses, accrued revenues, and unearned revenues. The key points are:
- Accrual basis accounting records revenues when earned and expenses when incurred, regardless of cash receipt/payment. Cash basis records when cash is paid/received.
- Adjusting entries bring accounts to correct balances at financial statement dates by recognizing revenues/expenses in appropriate periods.
- An adjusted trial balance serves as the basis for the financial statements: income statement, statement of owner's equity, and balance sheet.
CHAPTER 2 Recording Business TransactionsGene Carboni
This document discusses key accounting concepts such as accounts, ledgers, debits and credits, journals, and trial balances. It provides examples to illustrate how to record business transactions using double-entry accounting. Specifically, it shows a journal entry to record an initial investment in a business. It also demonstrates how to post journal entries to accounts in the general ledger and prepare a trial balance to check the equality of debits and credits.
CHAPTER 1 Accounting and the Business EnvironmentGene Carboni
This document provides an overview of accounting concepts and principles covered in Chapter 1. It defines accounting as an information system that measures and processes financial data to communicate to internal and external users. There are three main types of accounting - financial, management, and tax accounting. The four main types of business organizations are proprietorships, partnerships, corporations, and non-profits. The accounting equation, assets = liabilities + owner's equity, is introduced to track business transactions and their impact on accounts. Financial statements including the income statement, statement of owner's equity, balance sheet, and statement of cash flows are prepared to evaluate business performance.
This chapter discusses upgrading and maintaining PC memory. It describes different types of memory technologies including RAM, ROM, DIMMs, SIMMs, and RIMMs. It provides details on DIMM technologies such as SDRAM, DDR, DDR2, DDR3, ECC memory, and buffered memory. The chapter explains how to identify the memory installed in a PC and select the right additional modules for upgrading memory capacity and performance. It outlines steps for physically installing new memory modules.
Learning Objectives
•List the new features in Windows 7.
•Name the various editions of Windows 7, their intended markets, and the differences between them.
•Understand the Windows 7 system requirements.
•Determine whether an existing computer is capable of running Windows 7.
•Explain the upgrade paths to Windows 7.
•Describe the modular architecture of Windows 7.
Guide to Windows 7 - Managing File SystemsGene Carboni
This video explains how to manage file systems. Learn the file system features and limits in Windows 7. Review file and folder attributes used in the FAT and NTFS file systems. Get an explanation of file and folder permission, permission scopes and inheritance, and the impact of ownership. Learn how to use previous versions of files
The document discusses disk technologies and disk management in Windows 7. It covers topics like disk types (internal, external, virtual), partition styles (MBR, GPT), disk storage technologies (basic, dynamic), disk management tools (Disk Management, DiskPart), and common disk management tasks (preparing disks, disk cleanup, checking health, defragmenting).
Guide to Windows 7 - Using the System UtilitiesGene Carboni
This chapter provides an overview of Control Panel applets and Administrative Tools. There is also a description of the Microsoft Management Console. As well, there is in-depth coverage of how to manage hardware components, configure power management, configure the display, and use Task Scheduler.
Guide To Windows 7 - Installing Windows 7Gene Carboni
Chapter 2 illustrates how to install Windows 7. Viewers will learn about the deployment enhancements in Windows 7. In addition, Chapter 2 describes the use of Windows Easy Transfer. It explains how to use and manage Windows Imaging Format image files.
Guide To Windows 7 - Introduction to Windows 7Gene Carboni
This chapter outlines the versions of Windows 7 and the features available in each. This information enables users to determine which version is appropriate for their specific needs. The chapter also introduces new and improved features in Windows 7, including the updated user interface, hardware requirements, and system hardware support. Updated features for application support, connectivity applications, and enhanced networking models are also covered in the chapter.
In this chapter we cover basic operating system support questions seen by most desktop support technicians. Technicians supporting applications running on Microsoft Windows XP will likely see many of these situations over time as adjunct questions to actual application support incidents and should be prepared to handle them. We discuss managing the Start menu, toolbar, and language settings. We also present information on working with folder settings and managing file associations. We finish with a quick discussion of available Windows XP troubleshooting and management utilities.
In this section we describe the components of the taskbar and Start menu and examine the common settings used when configuring them. We discuss each setting and show how it might affect the appearance and usability of the taskbar or Start menu. As you present this section, keep in mind how these settings can be administratively controlled in corporate environments via group policy, and encourage your students to determine which (if any) settings are administratively configured at their site to be able to effectively support them.
Called the system tray in earlier versions of Microsoft Windows, the notification area of the taskbar provides a space for notifying the user of system or application events and status. Some applications also provide access to configuration settings or controls through notification area icons. Operating system services such as network connections and printers announce their status and allow configuration here as well. This section discusses ways to customize the presentation of the notification area and to control which icons appear there.
You can configure the notification area to hide status icons that have not been recently updated by their applications. Doing so leaves this area of the screen relatively uncluttered. This slide calls out the location of the configuration setting that controls this behavior.
Many items can be added or removed from the notification area by configuring settings in the respective applications or services. Please refer to the textbook for examples of how to add and remove common items. To promote understanding of these procedures it is best to demonstrate them if possible. Be careful not to disable any critical services if you choose to demonstrate Msconfig.exe.
Power users might have a dozen or more applications open at the same time when busy. With earlier versions of Windows, these buttons would crowd together on the taskbar until the button text was unreadable. Windows XP gives users two options. They can allow the buttons to add a second tier on the taskbar, requiring users to scroll to view the contents. Alternatively, they can be grouped into “stacks” of like applications. The textbook shows two excellent examples of this. This slide calls out the location of the configuration setting that controls this behavior.
Adding frequently used applications to the Quick Launch toolbar is a great way for users to customize their desktops. They do not need to search the Start menu for their applications or minimize all open windows to find an icon on the desktop. When demonstrating the Quick Launch area, be sure to demonstrate adding an item by dragging its icon down. This is a quick way to add icons and is a great item desktop support technicians can show end users.
Keep the Taskbar And Start Menu Properties dialog box open for a while when discussing this slide. You can show where each of these settings is located and explain what happens when each is selected.
You can extend the taskbar with additional toolbars to give quick access to controls of applications such as Windows Media Player, or access to folders such as the desktop or another file system folder. The Address and Links toolbars give quick access to functions of Microsoft Internet Explorer. Be sure to demonstrate the Toolbars menu within the taskbar shortcut menu.
This section discusses the configuration of the Start menu. We discuss customizing the appearance of the Start menu and cover adding items to (and deleting them from) the various areas of the Start menu. As you present this slide, spend some time giving your students a tour of the various features of the Start menu. The next slides in the series cover configuration, so this orientation will help the students see the effects of their changes.
This section is best suited to a discussion of Start menu configuration. The following two slides depict the General tab and the Advanced tab of the Customize Start Menu dialog box. If you have access to a Windows XP computer, you can replace these slides with a demonstration of the various Start menu configuration settings.
This slide depicts the General tab of the Customize Start Menu dialog box. These are the most basic configuration settings, and the changes you make here affect only the left side of the menu. The next slide depicts advanced settings, and the changes you make there cover the right side of the Start menu.
This slide depicts the Advanced tab of the Customize Start Menu dialog box. These are the settings that control behavior of the items on the right side of the menu. These items include the appearance of My Computer, My Documents, Control Panel, and others. Users can customize all aspects of the Start menu to suit their tastes. Desktop support technicians might also encounter instances in which many of these settings are administratively configured using group policies. Access to Start menu settings might even be disabled by a group policy. Be sure to discuss how desktop support technicians should be aware of any local policies to this effect.
This slide provides a focus for discussion of Start menu icons and how they can be manipulated. If possible, demonstrate adding an item by dragging its icon to the Start button and then placing it on the Start menu. Also demonstrate the Pin To Start Menu option on the shortcut menu for a shortcut icon.
This and the following slides depict the Regional And Language Options dialog box. You might explain that all settings related to regional preference are configured here simply by selecting a new region. If custom settings such as a different currency or system of measurement are desired, you can set them in the Customize Regional Options dialog box (see next slide).
This slide covers the language options available in Windows XP. We also show the dialog boxes used when configuring language settings and how to use the Language Bar to select the keyboard layout in effect.
This slide depicts the Text Services And Input Languages dialog box. You can configure multiple additional languages here and define default keyboard layouts for each. Explain that each of these will appear on the Language Bar as a square blue icon.
The Language Bar allows selection of the language in use. It is a quick way for users of multilingual systems to select the language they wish to use for the moment. Many support professionals in multilingual organizations will eventually encounter an issue in which users sit down to a system with a keyboard configured for one language when they are expecting another.
This slide depicts the basic settings available in the Folder Options dialog box. You might want to discuss the purpose of each setting, or simply use this slide as an introduction to the more advanced settings to follow.
If possible, demonstrate this dialog box to show the many configuration items that have been brought together in one place. Settings critical to protection of system files and user profile data are side by side with settings that control the user’s experience when browsing file folders.
In this section, we discuss file associations, their purpose, and how to manage and troubleshoot them. Be sure to mention that most applications associate their own file types at installation time. Most often a support technician will become involved when an application has hijacked another application’s file associations (common among media applications).
Explain that file associations control which applications are “associated” with each type of file. This ensures that the appropriate application is used for each file type. In the example on the slide, Microsoft Word would be launched if one of the files displayed were to be opened.
Each of the items on the slide is managed in the File Types tab of the Folder Options dialog box. Although most applications properly register their file associations when they are installed, sometimes another application hijacks them or they are inadvertently deleted. Using the File Types tab, demonstrate how to add, delete, or change items in this view.
Given a good understanding of how file associations are used, students should be able to participate in a discussion of different scenarios from the textbook. You might choose to return to the File Types tab to demonstrate any proposed resolution to the stated scenarios.
This slide provides an anchor for a discussion of the available configuration and troubleshooting tools that will come in handy for those supporting applications on Windows XP. If time permits, run each tool and describe the function it can serve for analysis and repair of application problems. Msconfig configures system startup files to control the startup behavior and startup applications launched by Windows XP. Msinfo collects critical information on running processes, loaded components, and system statistics. Chkdsk scans the hard disk to locate any potential data corruption or failures. Disk Defragmenter consolidates application data files into contiguous blocks to speed access times and performance. System File Checker (SFC.exe) runs at the command line to scan and repair critical Windows XP system files.
This chapter presents many of the user experience features of Windows XP from a support perspective. Emphasize that the best way to effectively support these features is to use them. Experienced users make the best support technicians.