EdX

AP Computer Science A: Java Programming Polymorphism and Advanced Data Structures (edX)

Offered by Purdue University, PurdueX,
AP Computer Science A: Java Programming Polymorphism and Advanced Data Structures (edX)

AP Computer Science A from Purdue University. This computer science course covers advanced OOP strategies, including polymorphism, abstract classes, super keyword, exceptions, generics, sorting and searching algorithms. This course is for anyone interested in taking a first-level computer-programming course, particularly those who attend a school that does not provide a similar class.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

We are looking forward to helping you explore this exciting new world!

What you'll learn

  • Polymorphism
  • super keyword
  • Abstract classes and methods
  • Exceptions
  • try-catch-finally structure
  • throws keyword
  • Handled and unhandled exceptions
  • ArrayLists
  • Generics
  • Big-O notation
  • Algorithm analysis
  • Searching
  • Sorting

Course Syllabus

Unit Name or Timeframe: Polymorphism (3 weeks)

  • Polymorphism and the relationship of parent and child classes
  • Calling parent constructor and casting with super keyword
  • Abstract class and interfaces and the use of late binding
  • Abstract methods

Unit Name or Timeframe: Exceptions (1 weeks)

  • Generic Exception class
  • Arithmetic, ArrayIndexOutOfBounds, NullPointer, ClassCast, IllegalArgument
  • The try-catch structure
  • The throws keyword
  • Handled vs unhandled exceptions

Unit Name or Timeframe: Dynamic data structures (3 weeks)

  • Use List reference and by extension the ArrayList classes
  • Generics
  • Traversals, insertions, deletions
  • Swap operations
  • Bubble sort, Selection sort, Insertion sort and Merge sort
  • Binary search and Linear search
  • Big-O Notation and algorithm analysis

Prerequisites
Some basic algebra needed. Students should have taken:
CS180.1x - AP Computer Science A: Java Programming
CS180.2x - AP Computer Science A: Java Programming Data Structures and Loops
[CS180.3x - AP Computer Science A: Java Programming Classes and Objects]()

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Introduction to Computer Science and Programming (edX) EdX
Tokyo Institute of Technology,TokyoTechX

Introduction to Computer Science and Programming (edX)

The term “Computation” refers to the action performed by a computer. A computation can be a basic operation and it can also be a sophisticated computer simultation requiring a large amount of data and substantial resources. This course aims at introducing learners with no prior knowledge to basics and key concepts of computer science. By following the lectures and exercises of this course you will have an understanding of algorithms and you will get a real experience of programming using the language Ruby.

Self Paced
Self-Paced
Data Structures & Algorithms II: Binary Trees, Heaps, SkipLists and HashMaps (edX) EdX
Georgia Institute of Technology,GTx

Data Structures & Algorithms II: Binary Trees, Heaps, SkipLists and HashMaps (edX)

Become familiar with nonlinear and hierarchical data structures. Study various tree structures: Binary Trees, BSTs and Heaps. Understand tree operations and algorithms. Learn and implement HashMaps that utilize key-value pairs to store data. Explore probabilistic data structures like SkipLists. Course tools help visualize the structures and performance.

Self Paced
Self-Paced
Advanced Linear Algebra: Foundations to Frontiers (edX) EdX
University of Texas at Austin,UTAustinX

Advanced Linear Algebra: Foundations to Frontiers (edX)

Learn advanced linear algebra for computing. Linear algebra is one of the fundamental tools for computational and data scientists. In Advanced Linear Algebra: Foundations to Frontiers (ALAFF), you will build your knowledge, understanding, and skills in linear algebra, practical algorithms for matrix computations, and the analysis of the effects of floating-point arithmetic as performed by computers.

Self Paced
Self-Paced
Aplicaciones de la Teoría de Grafos a la vida real II (edX) EdX
Universitat Politècnica de València,UPValenciaX

Aplicaciones de la Teoría de Grafos a la vida real II (edX)

Aprenderemos a modelizar problemas del mundo real mediante su representación con grafos y a resolverlos mediante sus algoritmos asociados. Este curso trata la Teoría de Grafos desde el punto de vista de la modelización, lo que nos permitirá con posterioridad resolver muchos problemas de diversa índole. Presentaremos ejemplos de los distintos problemas en un contexto real, analizaremos la representación de éstos mediante grafos y veremos los algoritmos necesarios para resolverlos.

Self Paced
Self-Paced
Introduction to Java Programming: Fundamental Data Structures and Algorithms (edX) EdX
Universidad Carlos III de Madrid - UC3M,UC3Mx

Introduction to Java Programming: Fundamental Data Structures and Algorithms (edX)

Learn to enhance your code by using fundamental data structures and powerful algorithms in Java. In this introductory course, you will learn programming with Java in an easy and interactive way. You will learn about fundamental data structures, such as lists, stacks, queues and trees, and presents algorithms for inserting, deleting, searching and sorting information on these data structures in an efficient way.

Self Paced
Self-Paced
Software Construction: Data Abstraction (edX) EdX
The University of British Columbia,UBCx

Software Construction: Data Abstraction (edX)

Learn powerful data abstraction and decomposition techniques to build large, complex programs. The course begins with the topic of data abstraction - from specification to implementation. Particular attention is given to how to write robust tests using JUnit. Then the course expands on these ideas to explore how type hierarchies and polymorphism can be used to decrease redundancy in your code. The course wraps up with a discussion of how to design robust classes.

Self Paced
Self-Paced
Recommender Systems: Behind the Screen (edX) EdX
Université de Montréal,UMontrealX

Recommender Systems: Behind the Screen (edX)

How are items recommended when you’re browsing for movies, jobs or clothing online? Register here and you’ll discover the fundamental concepts and methods allowing the most relevant item suggestions to users from e-commerce to online advertisement. In this course, you will explore and learn the best methods and practices in recommender systems, which are an essential component of the online ecosystem. This course was developed by IVADO and HEC Montréal as part of a workshop that took place in Montreal.

Self Paced
5-12 Weeks
Introducción a la programación en Java: escribiendo buen código (edX) EdX
Universidad Carlos III de Madrid - UC3M,UC3Mx

Introducción a la programación en Java: escribiendo buen código (edX)

¡Aprende programación en Java de forma fácil e interactiva y entra en el fascinante mundo de la computación! Este es un curso introductorio para aprender a programar en Java diseñado para enseñar a escribir "buen" código en este lenguaje de programación, entendiendo como "bueno" aquel que es correcto y eficiente.

Self Paced
Self-Paced