Data Structures Fundamentals

Provided by The University of California, San Diego (UCSanDiegoX)
$150 USD

See prerequisites

Learn about data structures that are used in computational thinking – both basic and advanced.

Course Format:Instructor-Led
Start Date:Mar 23, 2019

What you will learn

  • Basics of data structures including their fundamental building blocks: arrays and linked lists
  • How to use Dynamic arrays
  • A very powerful and widely used technique called hashing and its applications
  • How to use priority queues to efficiently schedule jobs, in the context of a computer operating system or real life
  • Basic structure of binary search trees - AVL trees and Splay trees
  • Applications of data structures


A good algorithm usually comes together with a set of good data structures that allow the algorithm to manipulate the data efficiently. In this course, part of the Algorithms and Data Structures MicroMasters program, we consider the common data structures that are used in various computational problems. You will learn how these data structures are implemented in different programming languages and will practice implementing them in our programming assignments. This will help you to understand what is going on inside a particular built-in implementation of a data structure and what to expect from it. You will also learn typical use cases for these data structures.

A few examples of questions that we are going to cover in this course are:

  1. What is a good strategy of resizing a dynamic array?
  2. How priority queues are implemented in C++, Java, and Python?
  3. How to implement a hash table so that the amortized running time of all operations is O(1) on average?
  4. What are good strategies to keep a binary tree balanced?

We look forward to seeing you in this course! We know it will make you a better programmer.

Before you start

Basic grasp of:

  • One programming language (C,C++,C#,Haskell,Java,JavaScript,Python2/3,Ruby,Scala)-loop, array, stack, recursion
  • Math-proof by induction and contradiction
  • The Algorithmic Design and Techniques class
  • Instructor-Led: course contains assignments and exams that have specific due dates, and you complete the course within a defined time period.
  • Course ends: Mar 23, 2019

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