Keynote هو تطبيق يسهّل عليك إنشاء عروض تقديمية مذهلة لا يمكن نسيانها بفضل ما يتضمنه من أدوات فعالة وتأثيرات مدهشة، ويأتي مدمجاً في معظم أجهزة Apple. ويمكّنك أيضاً من إنشاء مخططات أو إضافة رسومات توضيحية تجعل عرضك التقديمي ينبض بالحياة باستخدام Apple Pencil على iPad. ومع ميزات التعاون في الوقت الفعلي، يستطيع أعضاء فريقك العمل معاً سواء أكانوا يستخدمون أجهزة Mac أم iPad أم iPhone أم PC.
ويهدف هذا البرنامج إلى دمج التقنية في التعليم، حيث يعتبر برنامج Keynote من التقنيات الرائعة ومن الوسائل التعليمية الحديثة التي توفر الوقت والجهد للمعلم في تحقيق أهداف الدرس، فمن خلاله يمكن عرض الصور والفيديو والرسومات والمخططات البيانية والنصوص بتصاميم جذابة، وبحركات وطرق متنوعة وشيقة، تشد انتباه الطالب وتبعده عن الروتين التعليمي الممل. كما يمكن استخدام هذا البرنامج في التعليم العام والتعليم العالي.
شرح برنامج Word إلى الصف الاول الاعدادى
كتابة وتصميم هناء أحمد محمد إبراهيم
معلم حاسب آلى باحثة ماجيستر مناهج وطرق تدريس حاسب آلى معهد الدراسات والبحوث العربية
Keynote هو تطبيق يسهّل عليك إنشاء عروض تقديمية مذهلة لا يمكن نسيانها بفضل ما يتضمنه من أدوات فعالة وتأثيرات مدهشة، ويأتي مدمجاً في معظم أجهزة Apple. ويمكّنك أيضاً من إنشاء مخططات أو إضافة رسومات توضيحية تجعل عرضك التقديمي ينبض بالحياة باستخدام Apple Pencil على iPad. ومع ميزات التعاون في الوقت الفعلي، يستطيع أعضاء فريقك العمل معاً سواء أكانوا يستخدمون أجهزة Mac أم iPad أم iPhone أم PC.
ويهدف هذا البرنامج إلى دمج التقنية في التعليم، حيث يعتبر برنامج Keynote من التقنيات الرائعة ومن الوسائل التعليمية الحديثة التي توفر الوقت والجهد للمعلم في تحقيق أهداف الدرس، فمن خلاله يمكن عرض الصور والفيديو والرسومات والمخططات البيانية والنصوص بتصاميم جذابة، وبحركات وطرق متنوعة وشيقة، تشد انتباه الطالب وتبعده عن الروتين التعليمي الممل. كما يمكن استخدام هذا البرنامج في التعليم العام والتعليم العالي.
شرح برنامج Word إلى الصف الاول الاعدادى
كتابة وتصميم هناء أحمد محمد إبراهيم
معلم حاسب آلى باحثة ماجيستر مناهج وطرق تدريس حاسب آلى معهد الدراسات والبحوث العربية
This document discusses various animation and transition features in Microsoft PowerPoint. It explains how to add transitions between slides, including adding sound and duration. It also covers removing mouse actions, adding time after transitions, and animating objects on slides. Customized animations can be created to specify effects, start time, direction, and speed. The overall document provides instructions for applying various transitions and animations in PowerPoint presentations.
This document provides an overview of Microsoft PowerPoint, including how to open PowerPoint, create a new presentation, work with themes and slides, add drawings, and save a presentation. PowerPoint is a presentation program that allows users to convey information to an audience. It has tools for creating slides, applying themes, drawing objects, and saving presentations in different file formats. The document outlines the basic functions and features of PowerPoint.
This document discusses how to limit the data shown on a Microsoft Excel worksheet using filters and advanced filters. It explains that filters allow you to select rows to display based on rules, and that advanced filters allow finding unique values within a data set. Key steps include clicking the filter arrow in the column header, which displays filtering options and unique values. Options include sorting, clearing filters, and filtering by color or date. Advanced filters copy filtered data to a new location based on criteria in a separate range table. The overall goal is to summarize and analyze data by only viewing relevant rows.
This document provides an overview of using tables in Microsoft Excel. It defines what a table is as an organized collection of rows and columns of data with records as rows and fields as columns. It describes how to create a table by selecting data and clicking "Insert->Table", and how to add and modify table data by adding new rows and columns. The document also summarizes how to sort and filter table data, as well as use formulas within a table.
This document discusses how to define valid sets of values for ranges of cells in Microsoft Excel using a list. It introduces data validation in Excel, which allows you to set up validation rules to ensure data entered into a worksheet is accurate. The document explains that to create a validation rule, you select the cells you want to validate, open the Data Validation dialog box from the Data tab, and use the controls there to define what type of data is allowed in the selected cells.
Microsoft Excel allows users to create charts to visualize data. Charts make it easier to see trends, comparisons, and outliers in data. A chart contains a title, axes, data series, and legend. To create a chart, select the data range and insert a chart type. Chart tools allow modification of the type, layout, style, and location of the chart. Charts are a useful tool for communicating insights from data in Excel workbooks.
This document discusses key concepts related to data and Microsoft Excel. It defines data as existing information that is coded for processing and analysis. Quantitative data can be expressed as numbers while qualitative data uses descriptions. Primary data is collected directly by researchers while secondary data was previously collected. Common primary data collection methods include observation, interviews, questionnaires, tests, and surveys. The document also covers sorting data in Excel, functions like COUNT and SQRT, and copying or moving formulas with relative and absolute cell references.
This document provides an overview of Microsoft Excel and its basic functions. It discusses how to tour the Excel window, edit cell entries, format values, change fonts and alignment, insert and delete rows and columns, and apply colors and borders. The objectives are to understand spreadsheet software like Excel, enter and edit data, perform calculations with formulas, and change the appearance and layout of worksheets.
This document provides an overview of basic mathematical functions in Microsoft Excel including SUM, MAX, MIN, and AVERAGE. It explains that Excel uses formulas beginning with "=" to perform calculations and functions. The SUM function adds the values in a selected range, while the MAX and MIN functions find the largest and smallest numbers respectively. The AVERAGE function calculates the mean of a range by summing the values and dividing by the count.
This document discusses basic mathematical functions in Microsoft Excel, including sum, max, min, and average functions. It explains that Excel reads expressions starting with an equal sign as calculations or formulas. Functions like SUM, MAX, MIN, and AVERAGE can be used to calculate values across a range of cells, for example to find the total, highest, lowest, or average of numbers. The document provides examples of using the SUM, MAX, MIN, and AVERAGE functions in Excel.
This document provides an overview of Microsoft Excel and its basic functions. It discusses how to tour the Excel window, edit cell entries, format values, change fonts and alignment, insert and delete rows and columns, and apply colors and borders. The objectives are to understand spreadsheet software like Excel, enter and edit data, perform calculations with formulas, and change the appearance and layout of worksheets.
This document discusses genetic algorithms and provides an example of using them to solve a knapsack problem. It describes 4 combinations of items (C1-C4) along with their values and weights and whether they were accepted into the knapsack. A function is also defined to calculate the value of each combination as a percentage of the total possible value. Links to YouTube videos about genetic algorithms are included at the end.
This document discusses techniques for conducting effective internet searches, including the use of truncation and wildcard symbols to broaden searches and find variants of words. It also covers the use of Boolean search operators like AND, OR and NOT to combine or exclude terms. Phrase searching and proximity searching are described as ways to make searches more specific by finding terms that appear near each other or in a specified order.
The document discusses nearest neighbor search (NNS), which is an optimization problem to find the closest point in a given set to a query point. Closeness is typically expressed in terms of a dissimilarity function like distance. The document outlines different approaches to solving NNS like linear search, which directly compares all points and has complexity of O(dN), and space partitioning methods like k-d trees and R-trees, which partition the space and have faster query times of O(log N) on average.
Search algorithms can be used to retrieve information from data structures or search problem domains. They are classified based on their search mechanism, such as linear searches that check every record sequentially or binary searches that repeatedly target the center of the search space and divide it in half. Binary search algorithms have a maximum complexity of O(log n), meaning the number of operations needed to find the target is a logarithmic function of the search space size. Search algorithms are also used to find solutions to constraint satisfaction problems by assigning values to variables to satisfy equations or optimize functions. Local search methods view the search space as a graph and move between items along heuristic edges.
A hash function maps data of arbitrary size to data of fixed size by generating hash values or codes that can be used to detect duplicated records. Specifically, hash functions are used to map a search key to an index in a hash table, which then indicates where the corresponding record should be stored to allow for quickly locating data records in the hash table dictionary.
The document describes how to sort numbers using a pigeonhole sorting algorithm. It involves finding the range of numbers to determine the number of "pigeonholes", subtracting the minimum number from each value to assign it to a pigeonhole position, then copying the values from the pigeonholes into a sorted list. The algorithm is demonstrated by sorting the list (12,10,8,3,7,5) into ascending order using 10 pigeonholes.
The gnome sort algorithm sorts a list by finding the first pair of adjacent elements in the wrong order and swapping them, moving forward until no swaps are needed. It compares each element to the one before it, swapping and moving backward if out of order, or moving forward if in order. This continues until the list is fully sorted with no out of order pairs remaining. The algorithm runs through an example list step-by-step to demonstrate how it works.
The dealer had 1000 coins that needed to be divided among 10 bags so that any number of coins could be obtained by taking a specific number of bags. The optimal solution was to place 500 coins in the first bag, 250 in the second, 125 in the third, 62 in the fourth, 31 in the fifth, 16 in the sixth, 8 in the seventh, 4 in the eighth, 3 in the ninth bag, and 1 coin in the tenth bag, allowing the dealer to represent any coin amount from 1 to 1000 by selecting the appropriate bags.
This document discusses various animation and transition features in Microsoft PowerPoint. It explains how to add transitions between slides, including adding sound and duration. It also covers removing mouse actions, adding time after transitions, and animating objects on slides. Customized animations can be created to specify effects, start time, direction, and speed. The overall document provides instructions for applying various transitions and animations in PowerPoint presentations.
This document provides an overview of Microsoft PowerPoint, including how to open PowerPoint, create a new presentation, work with themes and slides, add drawings, and save a presentation. PowerPoint is a presentation program that allows users to convey information to an audience. It has tools for creating slides, applying themes, drawing objects, and saving presentations in different file formats. The document outlines the basic functions and features of PowerPoint.
This document discusses how to limit the data shown on a Microsoft Excel worksheet using filters and advanced filters. It explains that filters allow you to select rows to display based on rules, and that advanced filters allow finding unique values within a data set. Key steps include clicking the filter arrow in the column header, which displays filtering options and unique values. Options include sorting, clearing filters, and filtering by color or date. Advanced filters copy filtered data to a new location based on criteria in a separate range table. The overall goal is to summarize and analyze data by only viewing relevant rows.
This document provides an overview of using tables in Microsoft Excel. It defines what a table is as an organized collection of rows and columns of data with records as rows and fields as columns. It describes how to create a table by selecting data and clicking "Insert->Table", and how to add and modify table data by adding new rows and columns. The document also summarizes how to sort and filter table data, as well as use formulas within a table.
This document discusses how to define valid sets of values for ranges of cells in Microsoft Excel using a list. It introduces data validation in Excel, which allows you to set up validation rules to ensure data entered into a worksheet is accurate. The document explains that to create a validation rule, you select the cells you want to validate, open the Data Validation dialog box from the Data tab, and use the controls there to define what type of data is allowed in the selected cells.
Microsoft Excel allows users to create charts to visualize data. Charts make it easier to see trends, comparisons, and outliers in data. A chart contains a title, axes, data series, and legend. To create a chart, select the data range and insert a chart type. Chart tools allow modification of the type, layout, style, and location of the chart. Charts are a useful tool for communicating insights from data in Excel workbooks.
This document discusses key concepts related to data and Microsoft Excel. It defines data as existing information that is coded for processing and analysis. Quantitative data can be expressed as numbers while qualitative data uses descriptions. Primary data is collected directly by researchers while secondary data was previously collected. Common primary data collection methods include observation, interviews, questionnaires, tests, and surveys. The document also covers sorting data in Excel, functions like COUNT and SQRT, and copying or moving formulas with relative and absolute cell references.
This document provides an overview of Microsoft Excel and its basic functions. It discusses how to tour the Excel window, edit cell entries, format values, change fonts and alignment, insert and delete rows and columns, and apply colors and borders. The objectives are to understand spreadsheet software like Excel, enter and edit data, perform calculations with formulas, and change the appearance and layout of worksheets.
This document provides an overview of basic mathematical functions in Microsoft Excel including SUM, MAX, MIN, and AVERAGE. It explains that Excel uses formulas beginning with "=" to perform calculations and functions. The SUM function adds the values in a selected range, while the MAX and MIN functions find the largest and smallest numbers respectively. The AVERAGE function calculates the mean of a range by summing the values and dividing by the count.
This document discusses basic mathematical functions in Microsoft Excel, including sum, max, min, and average functions. It explains that Excel reads expressions starting with an equal sign as calculations or formulas. Functions like SUM, MAX, MIN, and AVERAGE can be used to calculate values across a range of cells, for example to find the total, highest, lowest, or average of numbers. The document provides examples of using the SUM, MAX, MIN, and AVERAGE functions in Excel.
This document provides an overview of Microsoft Excel and its basic functions. It discusses how to tour the Excel window, edit cell entries, format values, change fonts and alignment, insert and delete rows and columns, and apply colors and borders. The objectives are to understand spreadsheet software like Excel, enter and edit data, perform calculations with formulas, and change the appearance and layout of worksheets.
This document discusses genetic algorithms and provides an example of using them to solve a knapsack problem. It describes 4 combinations of items (C1-C4) along with their values and weights and whether they were accepted into the knapsack. A function is also defined to calculate the value of each combination as a percentage of the total possible value. Links to YouTube videos about genetic algorithms are included at the end.
This document discusses techniques for conducting effective internet searches, including the use of truncation and wildcard symbols to broaden searches and find variants of words. It also covers the use of Boolean search operators like AND, OR and NOT to combine or exclude terms. Phrase searching and proximity searching are described as ways to make searches more specific by finding terms that appear near each other or in a specified order.
The document discusses nearest neighbor search (NNS), which is an optimization problem to find the closest point in a given set to a query point. Closeness is typically expressed in terms of a dissimilarity function like distance. The document outlines different approaches to solving NNS like linear search, which directly compares all points and has complexity of O(dN), and space partitioning methods like k-d trees and R-trees, which partition the space and have faster query times of O(log N) on average.
Search algorithms can be used to retrieve information from data structures or search problem domains. They are classified based on their search mechanism, such as linear searches that check every record sequentially or binary searches that repeatedly target the center of the search space and divide it in half. Binary search algorithms have a maximum complexity of O(log n), meaning the number of operations needed to find the target is a logarithmic function of the search space size. Search algorithms are also used to find solutions to constraint satisfaction problems by assigning values to variables to satisfy equations or optimize functions. Local search methods view the search space as a graph and move between items along heuristic edges.
A hash function maps data of arbitrary size to data of fixed size by generating hash values or codes that can be used to detect duplicated records. Specifically, hash functions are used to map a search key to an index in a hash table, which then indicates where the corresponding record should be stored to allow for quickly locating data records in the hash table dictionary.
The document describes how to sort numbers using a pigeonhole sorting algorithm. It involves finding the range of numbers to determine the number of "pigeonholes", subtracting the minimum number from each value to assign it to a pigeonhole position, then copying the values from the pigeonholes into a sorted list. The algorithm is demonstrated by sorting the list (12,10,8,3,7,5) into ascending order using 10 pigeonholes.
The gnome sort algorithm sorts a list by finding the first pair of adjacent elements in the wrong order and swapping them, moving forward until no swaps are needed. It compares each element to the one before it, swapping and moving backward if out of order, or moving forward if in order. This continues until the list is fully sorted with no out of order pairs remaining. The algorithm runs through an example list step-by-step to demonstrate how it works.
The dealer had 1000 coins that needed to be divided among 10 bags so that any number of coins could be obtained by taking a specific number of bags. The optimal solution was to place 500 coins in the first bag, 250 in the second, 125 in the third, 62 in the fourth, 31 in the fifth, 16 in the sixth, 8 in the seventh, 4 in the eighth, 3 in the ninth bag, and 1 coin in the tenth bag, allowing the dealer to represent any coin amount from 1 to 1000 by selecting the appropriate bags.