CS3901 Intermediate Programming & Data Structures Introduction

Slides:

Advertisements

Similar presentations

PROGRAMMING LANGUAGE (JAVA) UNIT 42 BY ROBERT BUTTERFIELD TELEPHONE Data Structures and Algorithms.

Advertisements

Structures. An array allows us to store a collection of variables However, the variables must be of the same type to be stored in an array E.g. if we.

Review. What to know You are responsible for all material covered in lecture, the readings, or the programming assignments There will also be some questions.

CS 307 Fundamentals of Computer Science 1 Abstract Data Types many slides taken from Mike Scott, UT Austin.

Overview CS113, Fall 2000 Gene Itkis. The Promise Heavy Fast-paced Challenging Rewarding.

Asst.Prof.Dr.Ahmet Ünveren SPRING Computer Engineering Department Asst.Prof.Dr.Ahmet Ünveren SPRING Computer Engineering Department.

Data Structures Lecture-1:Introduction

C o n f i d e n t i a l Developed By Nitendra NextHome Subject Name: Data Structure Using C Title: Overview of Data Structure.

Prof. dr Slobodanka Đorđević-Kajan Dr Dragan Stojanović

Teaching Teaching Discrete Mathematics and Algorithms & Data Structures Online G.MirkowskaPJIIT.

Copyright © Wondershare Software Introduction to Data Structures Prepared by: Eng. Ahmed & Mohamed Taha.

CSC 113 Java Programming II

Chapter 3 List Stacks and Queues. Data Structures Data structure is a representation of data and the operations allowed on that data. Data structure is.

Data Structures and Abstract Data Types "Get your data structures correct first, and the rest of the program will write itself." - David Jones.

ECE 103 Engineering Programming Chapter 61 Abstract Data Types Herbert G. Mayer, PSU CS Status 6/4/2014 Initial content copied verbatim from ECE 103 material.

Java Collections An Introduction to Abstract Data Types, Data Structures, and Algorithms David A Watt and Deryck F Brown © 2001, D.A. Watt and D.F. Brown.

Min Chen School of Computer Science and Engineering Seoul National University Data Structure: Chapter 1.

CS Data Structures II Review & Final Exam. 2 Topics Review Final Exam.

Data Structures Lecture 1: Introduction. Course Contents Data Types   Overview, Introductory concepts   Data Types, meaning and implementation  

Elementary Data Organization. Outline  Data, Entity and Information  Primitive data types  Non primitive data Types  Data structure  Definition 

Programming Abstractions Cynthia Lee CS106X. Topics:  Priority Queue › Linked List implementation › Heap data structure implementation  TODAY’S TOPICS.

Data Structures and Algorithms in Java AlaaEddin 2012.

Introduction to Objects and Encapsulation Computer Science 4 Mr. Gerb Reference: Objective: Understand Encapsulation and abstract data types.

Data Structures Dr. Abd El-Aziz Ahmed Assistant Professor Institute of Statistical Studies and Research, Cairo University Springer 2015 DS.

Algorithm homework help For More Detail help.aspx - Phone:-

Computer science Computer science is a broader and much wider field as compared to programming. In the case of programming, we utilize the concepts.

CSCE 210 Data Structures and Algorithms

G64ADS Advanced Data Structures

Set Collection A Bag is a general collection class that implements the Collection interface. A Set is a collection that resembles a Bag with the provision.

CSC207 Fall 2016.

INTERMEDIATE PROGRAMMING WITH JAVA

Course Developer/Writer: A. J. Ikuomola

Basic 1960s It was designed to emphasize ease of use. Became widespread on microcomputers It is relatively simple. Will make it easier for people with.

Fundamentals of Programming II Overview of Collections

March 27 – Course introductions; Adts; Stacks and Queues

Chapter 15 Lists Objectives

Ch. 7 Programming Languages

Programming Abstractions

Array Array is a variable which holds multiple values (elements) of similar data types. All the values are having their own index with an array. Index.

September 27 – Course introductions; Adts; Stacks and Queues

CMPE419 Mobile Application Development

Map interface Empty() - return true if the map is empty; else return false Size() - return the number of elements in the map Find(key) - if there is an.

Road Map CS Concepts Data Structures Java Language Java Collections

structures and their relationships." - Linus Torvalds

Lecture 1: Introduction

Chapter 15 Lists Objectives

structures and their relationships." - Linus Torvalds

Chapter 6 System and Application Software

- Alan Perlis Topic 24 Heaps "You think you know when you can learn,

Object-Oriented Knowledge Representation

Introduction to Data Structures

Introduction to Computer Science for Majors II

Metadata Framework as the basis for Metadata-driven Architecture

Review CSE116 2/21/2019 B.Ramamurthy.

Introduction to Data Structure

Review B.Ramamurthy 4/6/2019 BR.

By Yogesh Neopaney Assistant Professor Department of Computer Science

ICS201 Introduction To Computing II

COP3530- Data Structures Introduction

Chapter 6 System and Application Software

CS703 - Advanced Operating Systems

Final Review B.Ramamurthy 5/8/2019 BR.

Chapter 6 System and Application Software

CMPE419 Mobile Application Development

Chapter 6 System and Application Software

CSCE156: Introduction to Computer Science II

structures and their relationships." - Linus Torvalds

Presentation transcript:

CS3901 Intermediate Programming & Data Structures Introduction

What will we learn? (1)‏ C++ Programming Java Programming Memory management Lists Programming with structs and classes Java Programming Object-Oriented programming concepts, including Inheritance Polymorphism Abstract Classes Interfaces Generics Packages The syntax we learned will be for C++ and Java, but the concepts appear in many other languages.

What will we learn? (2)‏ Primitive Data Structures Arrays Linked Lists Trees Linked Node and Array Based Heaps Binary Search Trees, AVL Trees, 2-4 Trees, Red-Black Trees Hash Tables Abstract Data Types (Built on Primitives)‏ Lists Stacks Queues Maps Dictionaries Possibly: Sets Graphs There exist more complicated data structures than the ones covered in the course. Understanding the above data structures will give you a basis for understanding more advanced structures

What will we learn? (3)‏

Data Structures Problems The following slides list various problems or domain areas in computer science, which require use data structures we will learn about in this course. Think about the structure of the data we want to represent. What additional or related problems can you come up with?

Databases Simple ones store key-value pairs (on disk)‏ More complex versions: Relational Databases XML Databases OO Databases

Timetabling Timetabling (creating a university class schedule)‏ Students belong to classes Teachers belong to classes Classes have room assignments Goal: choose a set of time slots for each class which do not have conflicts in teaching and room assignments minimize conflicts in students’ schedules

Forensics Task: record the flow of control in assembly language programs, either at the individual statement level, or at the function call level. Goal: search for cycles (to recognize loops)‏

Computer Graphics In Computer Graphics, we want to represent the logical organization of scene: A slightly more complicated version is called a Scene Graph (although it’s really a tree).

Matrices Matrices often need to be designed to accommodate a property of sparseness. In math, a sparse matrix is one where most of the values are zero. In data structures, a sparse matrix is one where most of the elements are un-allocated. Each node knows its own virtual coordinate, and points to some other actual node (or null), depending on that virtual coordinate. Uses in computer vision, graphics, engineering

??? <Your problem here.>

Homework Windows users: Mac users: Linux/Unix users: All Users: Install Cygwin gcc Mac users: Install the latest version of Xcode Linux/Unix users: Install gcc All Users: Install an editor with syntax highlighting