6 programming-using-java decision-making20102011-
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Chapter 10: hashing data structure
Chapter 10: hashing data structureMahmoud Alfarra This document provides an outline and overview of hashing and hash tables. It defines hashing as a technique for storing data to allow for fast insertion, retrieval, and deletion. A hash table uses an array and hash function to map keys to array indices. Collision resolution techniques like linear probing are discussed. The document also summarizes the Hashtable class in .NET, which uses buckets and load factor to avoid collisions. Examples of hash functions and using the Hashtable class are provided.
Chapter9 graph data structure
Chapter9 graph data structureMahmoud Alfarra This document discusses graphs and their representation in code. It defines graphs as consisting of vertices and edges, with edges specified as pairs of vertices. It distinguishes between directed and undirected graphs. Key graph terms like paths, cycles, and connectivity are defined. Real-world systems that can be modeled as graphs are given as an example. The document then discusses representing vertices and edges in code, choosing an adjacency matrix to represent the edges in the graph.
Chapter 8: tree data structure
Chapter 8: tree data structureMahmoud Alfarra The document discusses trees and binary trees as data structures. It defines what a tree is, including parts like the root, parent, child, leaf nodes. It then defines binary trees as trees where each node has no more than two children. Binary search trees are introduced as binary trees where all left descendants of a node are less than or equal to the node and all right descendants are greater. The document concludes by discussing how to build a binary search tree class with Node objects.
Chapter 7: Queue data structure
Chapter 7: Queue data structureMahmoud Alfarra This document provides an outline and overview of the queue data structure. It defines a queue as a first-in, first-out (FIFO) structure where new items are added to the rear of the queue and items are removed from the front. The key queue operations of enqueue and dequeue are described. Code examples are provided for implementing a queue using a linked list structure with classes for the queue, its nodes, and methods for common queue operations like enqueue, dequeue, peek, clear, print, and search. Different types of queues like linear, circular, and double-ended queues are also mentioned.
Chapter 6: stack data structure
Chapter 6: stack data structureMahmoud Alfarra The document provides an overview of stack data structures, including definitions and examples. It discusses key stack operations like push, pop, peek, clear, print all, and search. Code examples are given for an Employee class and Stack class implementation to demonstrate how these operations work on a stack of employee objects. The document aims to teach the fundamentals of stack data structures and provide code samples to practice stack operations.
Chapter 5: linked list data structure
Chapter 5: linked list data structureMahmoud Alfarra This document provides an outline and overview of linked lists. It defines a linked list as a collection of nodes that are linked together by references to the next node. Each node contains a data field and a reference field. It describes how to implement a linked list using a self-referential class with fields for data and a reference to the next node. It then outlines common linked list operations like insertion and deletion at different positions as well as sorting and searching the linked list.
Chapter 4: basic search algorithms data structure
Chapter 4: basic search algorithms data structureMahmoud Alfarra 1) The document discusses two common search algorithms: sequential search and binary search. Sequential search looks at each item in a list sequentially until the target is found. Binary search works on a sorted list and divides the search space in half at each step.
2) It provides pseudocode examples of how each algorithm works step-by-step to find a target value in a list or array.
3) Binary search is more efficient than sequential search when the list is sorted, as it can significantly reduce the number of comparisons needed to find the target. Sequential search is used when the list is unsorted.
Chapter 3: basic sorting algorithms data structure
Chapter 3: basic sorting algorithms data structureMahmoud Alfarra The document provides an outline and introduction for a chapter on basic sorting algorithms, including bubble sort, selection sort, and insertion sort algorithms. It includes pseudocode examples and explanations of each algorithm. It notes that bubble sort is one of the slowest but simplest algorithms, involving values "floating" to their correct positions. Selection sort finds the smallest element and places it in the first position, then repeats to find the next smallest. Insertion sort works by moving larger elements to the right to make room for smaller elements inserted from the left.
Chapter 2: array and array list data structure
Chapter 2: array and array list data structureMahmoud Alfarra Chapter 2: array and array list data structures
Chapter1 intro toprincipleofc#_datastructure_b_cs
Chapter1 intro toprincipleofc#_datastructure_b_csMahmoud Alfarra This document is a presentation on data structures in C# by Mr. Mahmoud R. Alfarra. It introduces C# and its uses in different applications. It covers various data types in C#, calculations and logical operations, control statements like if/else and loops. The document also discusses arrays, methods, and classes in C#. It provides examples to explain concepts like selection statements, iteration, and calling methods. The presentation aims to provide an introduction to the principles of C# for learning purposes.
Chapter 0: introduction to data structure
Chapter 0: introduction to data structureMahmoud Alfarra This document provides an introduction and outline for a course on data structures. It introduces the lecturer, Mahmoud Rafeek Alfarra, and lists his qualifications. It outlines the course objectives, resources, guidelines, assessment, and schedule. Key topics that will be covered include arrays, sorting and searching algorithms, linked lists, stacks, queues, trees and graphs. The document provides classifications of different types of data structures such as linear vs nonlinear, static vs dynamic memory allocation. It concludes with information about how students can be successful in the course.
3 classification
3 classificationMahmoud Alfarra Definition of classification
Basic principles of classification
Typical
How Does Classification Works?
Difference between Classification & Prediction.
Machine learning techniques
Decision Trees
k-Nearest Neighbors
5 programming-using-java intro-tooop20102011
5 programming-using-java intro-tooop20102011Mahmoud Alfarra This document provides an introduction to object-oriented programming concepts like classes, objects, and methods in Java. It defines classes as templates that define attributes and behaviors of objects as variables and methods. Objects are instances of classes. The document explains how to declare a class with access modifiers, variables, constructors, and methods. It also demonstrates how to create objects using the new keyword and access object attributes and methods.
3 programming-using-java introduction-to computer
3 programming-using-java introduction-to computerMahmoud Alfarra What is a computer?
Computer Organization
Programming languages
Java Class Libraries
Typical Java development environment
Case Study: Unified Modeling Language
1 programming-using-java -introduction
1 programming-using-java -introductionMahmoud Alfarra Who is Lecturer ?!
Course objectives
Resources
Course guidelines
Assessment
A word about lectures
Sending Home works & Questions
Office Hours
How to be successfully ?!
Course outlines
What is Programming?
Why Programming?
تلخيص النصوص تلقائيا
تلخيص النصوص تلقائياMahmoud Alfarra مقدمة حول موضوع تلخيص النصوص تلقائيا Automated Text Summarization وهو من المواضيع المميزة في تنقيب البيانات، ولا تزال مجالا للبحث وانتاج المعرفة.
4×4×4 لتحصيل التميز
4×4×4 لتحصيل التميزMahmoud Alfarra 12 نقطة لتحصيل التميز الدراسي في الحياة الجامعية
في البيت
في المحاضرة
ووقت الامتحان
لتقديم تدريب عن بعد أو مباشر يمكنك التواصل معي عبر:
[email protected]
whatsapp: 00972597393906
بالتوفيق للجميع
Data preparation and processing chapter 2
Data preparation and processing chapter 2Mahmoud Alfarra This document provides an overview of key aspects of data preparation and processing for data mining. It discusses the importance of domain expertise in understanding data. The goals of data preparation are identified as cleaning missing, noisy, and inconsistent data; integrating data from multiple sources; transforming data into appropriate formats; and reducing data through feature selection, sampling, and discretization. Common techniques for each step are outlined at a high level, such as binning, clustering, and regression for handling noisy data. The document emphasizes that data preparation is crucial and can require 70-80% of the effort for effective real-world data mining.
Introduction to-data-mining chapter 1
Introduction to-data-mining chapter 1Mahmoud Alfarra Data mining Course
Chapter 1
Definition of Data Mining
Data Mining as an Interdisciplinary field
The process of Data Mining
Data Mining Tasks
Challenges of Data Mining
Data mining application examples
Introduction to RapidMiner
Graph-Based Technique for Extracting Keyphrases In a Single-Document (GTEK)
Graph-Based Technique for Extracting Keyphrases In a Single-Document (GTEK)Mahmoud Alfarra This paper is the best one in the DataMining session in the ICPET 2018.
Paper about:
Graph-based Technique for Extracting Keyphrases in a single document (GTEK) is introduced.
GTEK is based on the graph-based representation of text.
GTEK motivated by:
A phrase may be important if it appears in the most important sentences in the document.
The Most important KP must cover all sub-topics of document.
GTEK groups the sentences into graph-model clusters. Then ranks them using TextRank algorithm.
Finally, the most frequent phrases in the high ranked sentences are selected as document keyphrases.
Experimental results show that GTEK extracts the most keyphrases of two datasets.
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Structure
1. *Brain*: The insect brain is a complex structure that processes sensory information, controls behavior, and integrates information.
2. *Ventral nerve cord*: A chain of ganglia (nerve clusters) that runs along the insect's body, controlling movement and sensory processing.
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Displacement Reaction
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Copper: Electrical wires.
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Zinc: Coating iron to prevent rusting (galvanization).
Uses of Non-Metals
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Nitrogen: Fertilizers.
Chlorine: Water purification.
Carbon: Fuel (coal), steel-making (coke).
Iodine: Medicines.
Alloys
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Alloys have improved properties like strength, resistance to rusting.
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CURRENT CASE COUNT: 817 (As of 05/3/2025)
• Texas: 688 (+20)(62% of these cases are in Gaines County).
• New Mexico: 67 (+1 )(92.4% of the cases are from Eddy County)
• Oklahoma: 16 (+1)
• Kansas: 46 (32% of the cases are from Gray County)
HOSPITALIZATIONS: 97 (+2)
• Texas: 89 (+2) - This is 13.02% of all TX cases.
• New Mexico: 7 - This is 10.6% of all NM cases.
• Kansas: 1 - This is 2.7% of all KS cases.
DEATHS: 3
• Texas: 2 – This is 0.31% of all cases
• New Mexico: 1 – This is 1.54% of all cases
US NATIONAL CASE COUNT: 967 (Confirmed and suspected):
INTERNATIONAL SPREAD (As of 4/2/2025)
• Mexico – 865 (+58)
‒Chihuahua, Mexico: 844 (+58) cases, 3 hospitalizations, 1 fatality
• Canada: 1531 (+270) (This reflects Ontario's Outbreak, which began 11/24)
‒Ontario, Canada – 1243 (+223) cases, 84 hospitalizations.
• Europe: 6,814
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- 1. Using Java MINISTRY OF EDUCATION & HIGHER EDUCATION COLLEGE OF SCIENCE AND TECHNOLOGY KHANYOUNIS- PALESTINE Lecture 6 Decision Making : Equality and Relational Operators
- 2. What is the decision ? Equality and relational operators. Precedence and associatively of operations How to use if ? Practice Be care Emank X Mezank 2Presented & Prepared by: Mahmoud R. Alfarra
- 3. For example, the condition "grade is greater than or equal to 60" determines whether a student passed a test. 3Presented & Prepared by: Mahmoud R. Alfarra What is the decision ? Note 5 applications demand the making decision HW 5.1
- 4. Conditions in if statements can be formed by using the equality operators and relational operators. Equality operators are used to check if two operands are equals or not. Relational operators are used to check if one of two operands are greater or less than another. 4Presented & Prepared by: Mahmoud R. Alfarra Equality and relational operators
- 5. 5Presented & Prepared by: Mahmoud R. Alfarra Equality and relational operators
- 6. 6Presented & Prepared by: Mahmoud R. Alfarra Precedence and associatively of operations
- 7. 7Presented & Prepared by: Mahmoud R. Alfarra How to use if ? If (condition) { /*Tasks will be executed * if the condition true*/ } condition yesNo If true Executed at all
- 8. Write a program to compare two numbers and print the larger, smaller, equal or not. 8Presented & Prepared by: Mahmoud R. Alfarra Example: Compare Integers Write a program to calculate the summation, multiple, division, subtraction and then compare the results to print the larger, smaller, equal or notHW 5.2
- 9. 9Presented & Prepared by: Mahmoud R. Alfarra Example: Compare Integers Rewrite this program using another values HW 5.3
- 10. 10Presented & Prepared by: Mahmoud R. Alfarra Forgetting the left and/or right parentheses for the condition in an if statement is a syntax error the parentheses are required. Confusing the equality operator, ==, with the assignment operator, =, can cause a logic error or a syntax error. It is a syntax error if the operators ==, !=, >= and <= contain spaces between their symbols, as in = =, ! =, > = and < =, respectively. Reversing the operators !=, >= and <=, as in =!, => and =<, is a syntax error.
- 11. تعاىل هللا قال: (املنفوش كالعهناجلبال تكون يوم) 11Presented & Prepared by: Mahmoud R. Alfarra
- 12. If … else & The family 12Presented & Prepared by: Mahmoud R. Alfarra