Data Structures and Algorithms: Deep Dive Using Java
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Data Structures and Algorithms: Deep Dive Using Java at UDEMY Overview
Duration | 16 hours |
Total fee | ₹399 |
Mode of learning | Online |
Difficulty level | Intermediate |
Credential | Certificate |
Data Structures and Algorithms: Deep Dive Using Java at UDEMY Highlights
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Data Structures and Algorithms: Deep Dive Using Java at UDEMY Course details
- Learn the strengths and weaknesses of a variety of data structures, so you can choose the best data structure for your data and applications
- Code an implementation of each data structure, so you understand how they work under the covers
- Learn many of the algorithms commonly used to sort data, so your applications will perform efficiently when sorting large datasets
- Learn what?s available in the JDK for storing and sorting data, so you won?t waste time reinventing the wheel
- This course goes over the theory of how things work, but only to give you what you need to know to understand the implementation covered
- Topics covered:- Arrays, Linked Lists, Trees, Hashtables, Stacks, Queues, Heaps, Sort algorithms, Search algorithms
- The course also spends more time than most other courses of its kind looking at what's available in the JDK
Data Structures and Algorithms: Deep Dive Using Java at UDEMY Curriculum
Introduction
Introduction From Tim Buchalka
Introduction to the Course
JDK8 for Windows
JDK8 for MAC
JDK8 for Linux
IntelliJ for Windows
IntelliJ for MAC
IntelliJ for Linux
Introduction to Data Structures
Introduction to Algorithms
Arrays and Big-O Notation
Introduction to Arrays
Big-O Notation
A Quick Review of Arrays in Java
Arrays in Memory
Big-O Values for Array Operations
Sort Algorithms
Introduction to Sort Algorithms
Bubble Sort (Theory)
Bubble Sort (Implementation)
Stable vs. Unstable Sort Algorithms
Selection Sort (Theory)
Selection Sort (Implementation)
Insertion Sort (Theory)
Insertion Sort (Implementation)
Shell Sort (Theory)
Shell Sort (Implementation)
Recursion
Merge Sort (Theory)
Merge Sort (Implementation)
Quick Sort (Theory)
Quick Sort (Implementation)
Counting Sort (Theory)
Counting Sort (Implementation)
Radix Sort (Theory)
Stable Counting Sort (Theory)
Radix Sort (Implementation)
Sorting Arrays Using the JDK
Sort Algorithms Challenge #1
Sort Algorithms Challenge #1 Solution
Sort Algorithms Challenge #2
Sort Algorithms Challenge #2 Solution
Sort Algorithms Challenge #3
Sort Algorithms Challenge #3 Solution
Lists
Introduction to Lists
Abstract Data Types
Array Lists
Vectors
Singly Linked Lists (Theory)
Singly Linked Lists (Implementation)
Doubly Linked Lists (Theory)
Doubly Linked Lists (Implementation)
The JDK LinkedList Class
Linked Lists Challenge #1
Linked Lists Challenge #1 Solution
Linked Lists Challenge #2
Linked Lists Challenge #2 Solution
Stacks
Introduction to Stacks
Stacks (Theory)
Stacks Implementation (Array)
Stacks Implementation (Linked List)
Stacks Challenge
Stacks Challenge Solution
Queues
Introduction to Queues
Queues (Theory)
Queues (Array Implementation)
Circular Queue Implementation (Part One)
Circular Queue Implementation (Part Two)
Queues and the JDK
Queues Challenge
Queues Challenge Solution
Hashtables
Introduction to Hashtables
Hashtables (Theory)
Hashtables (Array Implementation)
Linear Probing
Linear Probing - Removing Items
Linear Probing - Rehashing
Chaining
Hashtables and the JDK
Bucket Sort (Theory)
Bucket Sort (Implementation)
Hashtables Challenge #1
Hashtables Challenge #1 Solution
Hashtables Challenge #2
Hashtables Challenge #2 Solution
Search Algorithms
Introduction to Search Algorithms
Linear Search Algorithm
Binary Search Algorithm
Binary Search (Implementation)
Trees
Introduction to Trees
Trees (Theory)
Binary Search Trees (Theory)
Binary Search Trees (Insertion)
Binary Search Trees (Traversal)
Binary Search Trees (Get, Min, Max)
Binary Search Trees (Delete Cases 1 and 2)
Binary Search Trees (Implement Cases 1 and 2)
Binary Search Trees (Delete Case 3)
Binary Seach Trees (Implement Case 3)
Trees and the JDK
Binary Search Trees Challenge #1
Binary Search Trees Challenge #1 Solution
Binary Search Trees Challenge #2
Heaps
Introduction to Heaps
Heaps (Theory)
Storing Heaps as Arrays
Heaps (Insert)
Heaps (Delete Theory)
Heaps (Delete)
Heaps (Peek)
Priority Queues
Heapsort (Theory)
Heapsort (Implementation)
Course Wrap-Up
Sets
Course Wrap-Up
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Extra Information - Source code, and other stuff
Source Codes
Bonus Lecture and Information