Introduction to Java Programming II: Object-Oriented Programming and Algorithms

Massive Open Online Course
  • Overview
  • Course Content
  • Requirements & Materials
Overview

Introduction to Java Programming II: Object-Oriented Programming and Algorithms

Course Description

Build on the skills learned from “Introduction to Java Programming I: Foundations and Syntax Basics” and learn the basics of writing classes that serve as blueprints of concepts or objects that are represented in a programming problem. You will leverage the concepts of inheritance, interfaces, and polymorphism to program reusability and flexibility in classes. You will also gain experience walking through and analyzing algorithms that are applied on data (including objects) in many object-oriented programs.

Course Content

WRITING CUSTOM CLASSES

ENCAPSULATION AND INFORMATION HIDING

INTRODUCTION TO INHERITANCE, INCLUDING ABSTRACT CLASSES

BASICS OF METHOD OVERLOADING AND OVERRIDING

INTRODUCTION TO INTERFACES AND POLYMORPHISM

UML BASICS

SORTING ALGORITHMS: SELECTION, INSERTION, AND MERGE SORT

SEARCH ALGORITHMS: LINEAR AND BINARY SEARCH

BASICS OF COMPLEXITY AND BIG O NOTATION

Requirements & Materials
Prerequisites
Materials

Required

  • Internet connection (DSL, LAN, or cable connection desirable)

Session Details

Who Should Attend

This course is designed for anyone who wants to learn the basics of object-oriented programming and algorithms.

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What You Will Learn

  • How to write instantiable classes that serve as blueprints of concepts or objects
  • The basics of encapsulation and information hiding
  • The fundamentals of method overloading and overriding
  • How to write and use interfaces
  • How polymorphism is handled at compile time and runtime
  • The basics of UML
  • Algorithms for sorting data and how they are implemented in Java
  • Algorithms for searching data and how they are implemented in Java
  • The basics of complexity and Big O notation when it comes to analyzing algorithms
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How You Will Benefit

  • Gain experience developing object-oriented solutions to programming problems.
  • Understand the need for abstract classes and interfaces for a given programming problem.
  • Understand the benefit of polymorphism in an object-oriented language.
  • Recognize the need for generic types.
  • Gain experience walking through and analyzing algorithms that are applied on data (including objects) in many object-oriented programs.
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    Taught by Experts in the Field
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