Introduction to Data Structures & Algorithms in Java from Udemy

What's inside

Learning objectives

Be able to know and implement various data structures and algorithms

Be able to write your own algorithms and understand if their running time is good or bad

Be able to know and implement various data structures and algorithms
Be able to write your own algorithms and understand if their running time is good or bad

Syllabus

Introduction to Algorithms

Introduction

Euclid's algorithm

Bubble Sort algorithm

Why study data structures & algorithms

Correctness of an algorithm

Chapter Quiz

Analysis of Algorithms

Note on this section

How to calculate the time complexity

The RAM model of computation

Time complexity of Bubble sort algorithm

Pseudo code : Bubble sort algorithm

The Big O notation

Using Big O notation : Examples

Comparison of running times

Basic Sorting and Search Algorithms

Selection Sort

One of the problems that people face in writing algorithms is how to translate their thoughts into a programming language. Many people cannot even start writing the very first statement of an algorithm. I suggest that if you are having such trouble, don't try to solve the whole problem together, rather break it down into smaller, easier parts. For e.g. try doing the following in writing code for the selection sort algorithm -

First try to write a method, which just finds the minimum number in the data array. Don't think about anything else, just that method. If you write it in a different method, then you may need to pass the data array as a parameter to that method. Return the index of that minimum element from this method.
Now change the method to find the minimum number STARTING FROM A PARTICULAR INDEX. So you will need to pass this index as a parameter.
Write another method which can swap items in an array, located at two different indexes. What parameters should be passed to this method?

Hopefully, by this time you will have enough clarity on completing the sorting algorithm, if you understood the pseudo code.

Introduction to Insertion Sort

Applying Insertion Sort algorithm to cue balls

Insertion Sort: Pseudocode

O(n²) sorting algorithms - Comparison

In place sorting

Stable Vs Unstable Sorts

Searching elements in an un ordered array

Searching elements in an ORDERED array

Searching elements in an ORDERED array - contd.

Inserting and Deleting items in an ORDERED array

Try to write generic sort methods, like shown in the InsertionSortWithGenerics.java, for Bubble sort and Selection sort algorithms as an exercise. But if you don't want to get into generics at this point, you may choose to skip this section.

Assignment

Linked Lists

What is a Linked List?

Implementing a Linked List in Java

Inserting a new Node

Length of a Linked List

Deleting the head node

Searching for an Item

Using java generics to parameterize the LinkedList

Doubly Ended Lists

Inserting data in a sorted Linked List

Doubly Linked List

Insertion Sort revisited

Stacks and Queues

Stacks

Abstract Data Types

Implementing Stacks using Arrays

Queues

Queues using Arrays

Double Ended Queues

Double Ended Queues using Arrays

Recursion

Understanding Recursion

Tail recursion

Tower of Hanoi

Tower of Hanoi - Implementation

Merge Sort

Merge Sort - Pseudocode

Merge Step - Pseudocode

Time Complexity of Merge Sort

Binary Search Trees

The Tree Data structure

Binary Trees

Finding an item in a Binary Search Tree

Implementing the find method

Inserting an item in a Binary Search Tree

Deleting an Item : Case 1

Deleting an Item - Case 2

Deleting an Item - Case 3

Deleting an Item - Soft Delete

Finding smallest & largest values

Tree Traversal : In Order

Tree Traversal : Pre Order

Tree Traversal : Post Order

Unbalanced Trees Vs Balanced Trees

Height of a Binary Tree

Time Complexity of Operations on Binary Search Trees

More Sorting Algorithms

QuickSort

QuickSort: The partition step

Shell Sort

Shell Sort: Example

Counting Sort

Radix Sort

Bucket Sort

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Engages with basic data structures and algorithms, ideal for novice learners

Covers both basic and advanced data structures such as linked lists and binary search trees, providing a comprehensive foundation

Emphasizes understanding and transferring concepts to code, promoting deeper learning

Employs visual aids like graphics and animations to facilitate concept comprehension

May require basic coding knowledge as a prerequisite

Reviews summary

Basic ds&a in java

Learners say this course is very good for beginners, but it is not useful for people who already know the basics. The course doesn't include details about how to solve problems using data structures.

Great for those new to the topic.

"Very good for beginner."

Doesn't include details about how to solve problems.

"Don't include details about how to solve problem using Data structures explained."

Not useful for people who know basics.

"Not useful for people who knows the basic."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Introduction to Data Structures & Algorithms in Java with these activities:

Read 'Introduction to Algorithms' by Cormen, Leiserson, Rivest, and Stein

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This book is considered a classic in the field of algorithms and provides a comprehensive overview of fundamental algorithmic techniques.

View Introduction to Algorithms, fourth edition on Amazon

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Start by reading the preface and introduction to get an overview of the book's structure and content.
Focus on understanding the core concepts and algorithms presented in each chapter.
Work through the exercises and practice problems to reinforce your learning.
Refer back to specific sections of the book as needed to refresh your memory or clarify concepts.
Consider joining a book club or online discussion forum to engage with others who are reading the same book.

Seek guidance from an experienced software engineer

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Mentorship can provide valuable insights, support, and encouragement throughout your learning journey.

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Identify software engineers in your network or reach out to professionals on platforms like LinkedIn.
Express your interest in mentorship and explain your goals.
Establish clear expectations and communication channels.
Regularly meet with your mentor, seeking advice, feedback, and guidance.
Be open to constructive criticism and suggestions for improvement.

Join or start a study group with classmates

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Engaging in peer discussions and collaborative learning can clarify concepts, improve your understanding, and enhance your problem-solving abilities.

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Reach out to classmates and express your interest in forming or joining a study group.
Set regular meeting times and establish clear goals for each session.
Take turns presenting concepts, solving problems, and facilitating discussions.
Provide constructive feedback and support to group members.
Use online tools like video conferencing or shared documents to enhance collaboration.

Four other activities

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Follow tutorials on dynamic programming

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Dynamic programming is a powerful technique used to solve complex problems efficiently. Following tutorials on this topic will supplement the course material and deepen your understanding.

Browse courses on Dynamic programming

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Find a reputable online platform or resource that offers tutorials on dynamic programming.
Choose a tutorial that covers the specific concepts you're interested in learning.
Follow the tutorial step-by-step, taking notes and coding along.
Practice implementing the techniques you've learned by solving problems.
Seek clarification or ask questions if you encounter any difficulties.

Solve Leetcode problems

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Solving LeetCode problems could enhance your understanding of different algorithmic techniques covered in this course and improve your problem-solving abilities.

Browse courses on Data Structures

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Pick a problem that aligns with the course concepts you're learning.
Read the problem statement carefully and understand the input and output formats.
Start coding your solution, making sure to follow good coding practices.
Test your code against the provided test cases.
If your code fails, debug it and try to understand the error.

Attend industry-led workshops on advanced algorithms

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Attending workshops conducted by industry experts will provide exposure to cutting-edge algorithmic techniques and practical applications.

Browse courses on Algorithms

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Research and identify industry-led workshops aligned with your interests.
Register for the workshop and make necessary arrangements to attend.
Actively participate in the workshop, taking notes and asking questions.
Connect with industry professionals and learn about their experiences.
Follow up after the workshop by implementing what you've learned in your projects or assignments.

Design and code a data structure visualization tool

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Creating a data structure visualization tool will reinforce your understanding of how data structures work and how they can be represented visually.

Browse courses on Data Structures

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Choose a data structure to visualize, such as a linked list, stack, or tree.
Design the user interface of your tool, considering how users will interact with it.
Implement the visualization logic using a programming language of your choice.
Test your tool and make necessary adjustments to improve its functionality.
Share your tool with others and gather feedback to further enhance it.

Career center

Learners who complete Introduction to Data Structures & Algorithms in Java will develop knowledge and skills that may be useful to these careers:

Computer and Information Research Scientist

A Computer and Information Research Scientist researches and develops new computing techniques and technologies. Among other things, they design and analyze algorithms, data structures, and other theoretical constructs that form the basis for computer applications. This course introduces the fundamental concepts of data structures and algorithms, helping you build a foundation for understanding and developing these essential components of computing.

See salaries and explore the career path for Computer and Information Research Scientist

Software Engineer

Software Engineers design, develop, and maintain software applications. They work with users to understand their needs and then translate those needs into technical requirements. This course provides a solid foundation in data structures and algorithms, which are essential for developing efficient and reliable software.

See salaries and explore the career path for Software Engineer

Senior Software Engineer

Senior Software Engineers lead and mentor junior engineers, ensuring that coding standards and best practices are followed and that projects are completed on time and within budget. This course provides a comprehensive overview of data structures and algorithms in Java, equipping you with the knowledge and skills needed to design and implement efficient software solutions.

See salaries and explore the career path for Senior Software Engineer

Data Scientist

Data Scientists use data to solve business problems. They collect, clean, and analyze data to identify trends and patterns. This course provides a strong foundation in data structures and algorithms, which are essential for organizing and processing large datasets.

See salaries and explore the career path for Data Scientist

Data Engineer

Data Engineers design and build the systems that store and process data. They work with data scientists and other stakeholders to understand the data needs of an organization. This course provides a comprehensive overview of data structures and algorithms, which are essential for designing and implementing efficient data storage and processing systems.

See salaries and explore the career path for Data Engineer

Systems Analyst

Systems Analysts design and implement computer systems. They work with users to understand their needs and then develop solutions that meet those needs. This course provides a comprehensive overview of data structures and algorithms, which are essential for designing and implementing efficient and reliable systems.

See salaries and explore the career path for Systems Analyst

Database Administrator

Database Administrators are responsible for the maintenance and performance of databases. They ensure that data is stored securely and efficiently and that it is available to users when they need it. This course provides a strong foundation in data structures and algorithms, which are essential for understanding and optimizing database systems.

See salaries and explore the career path for Database Administrator

Information Security Analyst

Information Security Analysts protect computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. This course provides a strong foundation in data structures and algorithms, which are essential for understanding and developing security measures.

See salaries and explore the career path for Information Security Analyst

Network Engineer

Network Engineers design, build, and maintain computer networks. They ensure that networks are reliable, efficient, and secure. This course provides a strong foundation in data structures and algorithms, which are essential for understanding and optimizing network performance.

See salaries and explore the career path for Network Engineer

Web Developer

Web Developers design and develop websites. They work with clients to understand their needs and then create websites that meet those needs. This course provides a foundation in data structures and algorithms, which is helpful for understanding and developing efficient and interactive web applications.

See salaries and explore the career path for Web Developer

Game Developer

Game Developers design and develop video games. They work with clients to understand their needs and then create games that meet those needs. This course provides a foundation in data structures and algorithms, which is helpful for understanding and developing efficient and engaging games.

See salaries and explore the career path for Game Developer

Mobile Developer

Mobile Developers design and develop mobile applications. They work with clients to understand their needs and then create applications that meet those needs. This course provides a foundation in data structures and algorithms, which is helpful for understanding and developing efficient and user-friendly mobile applications.

See salaries and explore the career path for Mobile Developer

Computer Programmer

Computer Programmers write and test code that implements software applications. They work with software engineers and other stakeholders to understand the requirements of a project and then develop code that meets those requirements. This course provides a foundation in data structures and algorithms, which is essential for writing efficient and reliable code.

See salaries and explore the career path for Computer Programmer

Technical Writer

Technical Writers create documentation for software and other technical products. They work with engineers and other stakeholders to understand the product and then create documentation that is clear, concise, and helpful. This course provides a foundation in data structures and algorithms, which is helpful for understanding the technical concepts that are often described in technical documentation.

See salaries and explore the career path for Technical Writer

Quality Assurance Analyst

Quality Assurance Analysts test software to ensure that it meets the requirements of the customer. They work with software engineers and other stakeholders to identify and fix defects. This course provides a foundation in data structures and algorithms, which is helpful for understanding the testing process and for developing effective test cases.

See salaries and explore the career path for Quality Assurance Analyst