Overview
A good algorithm usually comes together with a set of good data structures that allow the algorithm to manipulate the data efficiently. In the Data Structures Fundamentals Certificate, part of the Algorithms and Data Structures MicroMasters Program from EdX in partnership with University of California, San Diego - UC San DiegoX, 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:
- What is a good strategy of resizing a dynamic array?
- How priority queues are implemented in C++, Java, and Python?
- How to implement a hash table so that the amortized running time of all operations is O(1) on average?
- 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.
What you'll 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
Programme Structure
Courses Include:
- Basic Data Structures
- Dynamic Arrays and Amortized Analysis
- Priority Queues and Disjoint Set Union
- Hash Tables
- Binary Search Trees
Key information
Duration
- Part-time
- 42 days
- 8 hrs/week
Start dates & application deadlines
Language
Delivered
- Self-paced
Campus Location
- Portland, United States
Disciplines
Information Technology (IT) Computer Sciences Data Science & Big Data View 416 other Short Courses in Computer Sciences in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Intermediate
- Some prior experience required
Tuition Fees
-
International Applies to you
Applies to youNon-residents150 USD / full≈ 150 USD / full - Out-of-State150 USD / full≈ 150 USD / full
Additional Details
- Unlimited access + verified certificate: $150
- Limited access: free