What is this course about?

Slides:



Advertisements
Similar presentations
Data Structures.
Advertisements

© 2006 Pearson Addison-Wesley. All rights reserved10 A-1 Chapter 10 Algorithm Efficiency and Sorting.
Randomized Algorithms Randomized Algorithms CS648 Lecture 6 Reviewing the last 3 lectures Application of Fingerprinting Techniques 1-dimensional Pattern.
Managing data Resources: An information system provides users with timely, accurate, and relevant information. The information is stored in computer files.
© 2006 Pearson Addison-Wesley. All rights reserved10-1 Chapter 10 Algorithm Efficiency and Sorting CS102 Sections 51 and 52 Marc Smith and Jim Ten Eyck.
An Object-Oriented Approach to Programming Logic and Design Chapter 7 Arrays.
Selection Sort
COMS W1004 Introduction to Computer Science May 29, 2009.
Tree-Building. Methods in Tree Building Phylogenetic trees can be constructed by: clustering method optimality method.
Data Structures and Programming.  John Edgar2.
Data Structures Lecture-1:Introduction
INVESTIGATING COLLEGE COURSES.  Why use Mind Maps?  Mind Maps will help your memory  Mind Maps will help you get organised  Mind Maps can save you.
5.1 and 5.4 through 5.6 Various Things. Terminology Identifiers: a name representing a variable, class name, method name, etc. Operand: a named memory.
computer
Topics Covered: Data processing and its need Data processing and its need Steps in data processing Steps in data processing Objectives of data processing.
© 2011 Pearson Addison-Wesley. All rights reserved 10 A-1 Chapter 10 Algorithm Efficiency and Sorting.
CIS3023: Programming Fundamentals for CIS Majors II Summer 2010 Ganesh Viswanathan Searching Course Lecture Slides 28 May 2010 “ Some things Man was never.
IT 152 Data Structures and Algorithms Tonga Institute of Higher Education.
Chapter 1 Data Structures and Algorithms. Primary Goals Present commonly used data structures Present commonly used data structures Introduce the idea.
MS 101: Algorithms Instructor Neelima Gupta
Recognize Linear Relationships and Solve Equations with Technology A Balance Model for Solving Equations iLearn Grade 7 Math Session 7 of 8.
Opportunity Cost The next best alternative.. Marginal Analysis A decision-making tool for comparing the additional or marginal benefits of a course of.
Name: Oluseyi Dawodu Course: Computing Level: 2 nd Topic: Usability Engineering Goals and Measurement and Problems with Usability Introduction.
1 BIM304: Algorithm Design Time: Friday 9-12am Location: B4 Instructor: Cuneyt Akinlar Grading –2 Midterms – 20% and 30% respectively –Final – 30% –Projects.
Selection Sort
COMP 1001: Introduction to Computers for Arts and Social Sciences Sorting Algorithms Wednesday, June 1, 2011.
Elementary Data Organization. Outline  Data, Entity and Information  Primitive data types  Non primitive data Types  Data structure  Definition 
Unit three The world online Welcome to the unit. Brainstorming Do you know how people keep in touch with each other?
1 Data Structures CSCI 132, Spring 2014 Lecture 1 Big Ideas in Data Structures Course website:
Chapter 10 Evaluation Sorting Choosing Evaluation
Algorithms an Introduction. History This course was first taught in the late 1960s The main principals that maintained the area –Find algorithms that.
ACC 291 Week 3 DQ 1 Why does a company choose to form as a corporation? What are the steps required to become a corporation? What are the advantages and.
© 2017 Pearson Education, Hoboken, NJ. All rights reserved
Algorithm Efficiency and Sorting
CMPT 438 Algorithms.
Course Developer/Writer: A. J. Ikuomola
Introducing Instructions
Data Structures Using C++ 2E
COP 3503 FALL 2012 Shayan Javed Lecture 15
Chapter 2 (16M) Sorting and Searching
Data Structures Using C++ 2E
External Methods Chapter 15 (continued)
Accounting Courses in Chandigarh. Fundamentals of Accounting Business & Management.
CIS 512 Education for Service-- tutorialrank.com
Sorting Data are arranged according to their values.
Chapter 15 QUERY EXECUTION.
Quantum Computing: an introduction
Sorting Data are arranged according to their values.
Simple Algorithms to Teach the Ideas Behind Coding
The Arab Co. for Medical & Agricultural Products (Jordan) “SAP Business One enabled us to incorporate all our dynamic activities into one single, easy.
Design and Analysis of Algorithms (DAA) (6 cp)
IT Course.
Algorithms Key Revision Points.
COURSE 3 LESSON 4-1 Factors
Simple Algorithms to Teach the Ideas Behind Coding
Pseudorandom number, Universal Hashing, Chaining and Linear-Probing
Algorithm Efficiency and Sorting
CPS120: Introduction to Computer Science
CPS120: Introduction to Computer Science
COP3530- Data Structures Introduction
Motivation Follow the steps below to collect data from your classmates and organize it. Form a group of 4 to 5 students and collect data from your group.
The Meal Deal Cook’s tour.
Algorithms Lecture # 01 Dr. Sohail Aslam.
COURSE 3 LESSON 4-1 Factors
Algorithm Efficiency and Sorting
WRITING AN ALGORITHM, PSEUDOCODE, AND FLOWCHART LESSON 2.
Why participatory planning?
Collision Resolution: Open Addressing Extendible Hashing
Quick Sort & Merge Sort Technique
Ownership Refresh.
Presentation transcript:

What is this course about? DATA STRUCTURES & ALGORITHMS Why do we need to know about them? A data structure is an arrangement of data in a computer’s memory. Algorithms provide methods of manipulating the data such as searching for a specific value and sorting the data. Both data structures and algorithms are important considerations in programs using real-world data and as tools in writing programs.

It is the programmer’s decision as to which data structures and which algorithms to choose for each application. Knowing the advantages and disadvantages of each is the key to efficient programming. Efficiency is a prime consideration in this course.