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PurdueX: AP Computer Science A: Java Programming Polymorphism and Advanced Data Structures

AP Computer Science A from Purdue University
AP Computer Science A: Java Programming Polymorphism and Advanced Data Structures
6 weeks
5–10 hours per week
Instructor-led on a course schedule
This course is archived

About this course

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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.

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

At a glance

  • Language: English
  • Video Transcript: English
  • Associated skills: Polymorphism, Data Structures, Java (Programming Language), Object-Oriented Programming (OOP), Sorting, Computer Science, Computer Programming

What you'll learn

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  • 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

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

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