Data Structures & Algorithms II: Binary Trees, Heaps, Skiplists, and Hashmaps

Massive Open Online Course
  • Overview
  • Course Content
  • Requirements & Materials
Overview

Data Structures & Algorithms II: Binary Trees, Heaps, Skiplists, and Hashmaps

Course Description

This Data Structures & Algorithms course extends beyond linear data structures to the nonlinear and hierarchical data structures. The course begins by explaining Binary Trees and two subgroups: Binary Search Trees (BSTs) and Binary Heaps. You will program BSTs, their operations, and traversal algorithms, while investigating different collision strategies and implement one. A short Java review is presented on topics relevant to new data structures is also covered in this course.

The course design has several components and is built around modules. A module consists of a series of short (3-5 minute) instructional videos. In between the videos, there are textual frames with additional content information for clarification, as well as video errata dropdown boxes. All modules include an Exploratory Lab that incorporates a Visualization Tool specifically designed for this course.

Course Content

BINARY SEARCH TREE (BST) INTRODUCTION

BST OPERATIONS & SKIPLISTS

BINARY HEAPS

HASH MAPS

Requirements & Materials
Prerequisites

Recommended

  • Basic knowledge of the Java programming language, object-oriented principles, and the introductory data structures: arrays, linkedlists, stacks, queues, and deques.
Materials

Required

  • Internet connection (DSL, LAN, or cable connection desirable)

Session Details

Who Should Attend

This course is designed for anyone who wants to learn about nonlinear and hierarchical data structures; study binary trees, BSTs, and heaps; understand tree operations and algorithms; implement Hashmaps that store data using key-value pairs; or explore probabilistic data structures like Skiplists. Course tools will help visualize structures and performance.

Adult professional learning on a laptop

What You Will Learn

  • Mature Java programming skills by using recursion in tree ADTs
  • The different nonlinear, linked data structures: Trees, Heaps, SkipLists, and HashMaps
  • The significant uses and applications of hierarchical tree structures
  • Tree properties and categorizing based on shape and order
  • How to design and implement the binary trees: BSTS and Heaps
  • How to compute amortized analysis for BSTs, Heaps, HashMaps, and SkipLists
Female professional in computer science lab looking at tablet

How You Will Benefit

  • Experience in examining edge cases and efficiency that occur in BST and Heap operations.
  • Understand the up-heap, down-heap, and build-heap procedures.
  • Consider the probabilistic data structure, SkipLists, and randomization.
  • Implement the HashMap ADT with its key-value pairs.
  • Analyze the different collision strategies with HashMaps.
  • Taught by Experts in the Field icon
    Taught by Experts in the Field
  • Grow Your Professional Network icon
    Grow Your Professional Network
Global Learning Icon - White section icon

Want to see all Massive Open Online Courses?

The course schedule was well-structured with a mix of lectures, class discussions, and hands-on exercises led by knowledgeable and engaging instructors.

- Abe Kani
President

TRAIN AT YOUR LOCATION

We enable employers to provide specialized, on-location training on their own timetables. Our world-renowned experts can create unique content that meets your employees' specific needs. We also have the ability to deliver courses via web conferencing or on-demand online videos. For 15 or more students, it is more cost-effective for us to come to you.

  • Save Money
  • Flexible Schedule
  • Group Training
  • Customize Content
  • On-Site Training
  • Earn a Certificate
Learn More

Want to learn more about this course?