UC3Mx: Introduction to Java Programming: Fundamental Data Structures and Algorithms

174,00 

Learn to enhance your code by using fundamental data structures and powerful algorithms in Java.

Categories ,

174,00 

Learn to enhance your code by using fundamental data structures and powerful algorithms in Java.

Categories ,

Discover the Course

About this course

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.

Emphasis is put on immediate feedback and on having a fun experience. Programming knowledge is not only useful to be able to program today’s devices such as computers and smartphones. It also opens the door to computational thinking, i.e. the application of computing techniques to every-day processes.

This course is designed taking into account the subset and recommendations of the College Board in order to prepare learners for the Advanced Placement (AP) Computer Science A exam.

At a glance

  • Institution: UC3Mx
  • Subject: Computer Science
  • Level: Introductory
  • Prerequisites:

    It is recommended to be familiar with the topics covered inIntroduction to Programming with Java – Part 1: Starting to Code with Java and Introduction to Programming with Java – Part 2: Writing Good Code.

  • Language: English
  • Video Transcripts: English, Español
  • Associated programs:
    • Professional Certificate in Introduction to Java Programming
  • Associated skills:Sorting, Computational Thinking, Algorithms, Computer Science, Data Structures, Java (Programming Language), Smartphone Operation

What you’ll learn

  • Arrange data on arrays and linked lists using primitive data types and classes.
  • Develop and use linear data structures, such as stacks and queues, implemented with linked lists or arrays.
  • Develop and use non-linear data structures, such as trees, including binary search trees and heaps, implemented with linked lists or arrays.
  • Implement algorithms for the efficient searching and sorting of data.

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