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Ordered Data Structures

Wade Fagen-Ulmschneider

Wade Fagen-Ulmschneider

In this course, you will learn new data structures for efficiently storing and retrieving data that is structured in an ordered sequence. Such data includes an alphabetical list of names, a family tree, a calendar of events or an inventory organized by part numbers. The specific data structures covered by this course include arrays, linked lists, queues, stacks, trees, binary trees, AVL trees, B-trees and heaps. This course also shows, through algorithm complexity analysis, how these structures enable the fastest algorithms to search and sort data.

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What's inside

Syllabus

Orientation; Linear Structures

Introduction to Tree Structures

Advanced Tree Structures

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Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Develops familiarity with data structures like arrays, linked lists, heaps, trees, and queues, which are fundamental for computer science and programming

Taught by Wade Fagen-Ulmschneider, who is recognized for their work in data structures and algorithms

Delves into graph theory, which is highly relevant to topics in computer science, mathematics, networks, and data science

Emphasizes implementing data structures from scratch, building a strong foundation for the practical use of data structures

May require prior programming experience for a smoother learning experience, as it assumes basic concepts

Balances theory with practical implementation, providing a comprehensive understanding of data structures and their applications

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Reviews summary

Comprehensive ordered data structures course

According to students, this course offers a solid and comprehensive introduction to ordered data structures like arrays, linked lists, trees, and heaps. Learners frequently praise the lectures for their clarity and depth making complex concepts understandable. The homework assignments and labs are highlighted as particularly helpful for applying theoretical knowledge through practical coding. While many appreciate the rigorous and theoretical approach, some find the course difficulty high requiring significant time commitment and a strong pre-existing programming background. Overall, it's considered a valuable resource for building a strong foundation in this fundamental computer science area.

Provides a strong theoretical foundation.

"It gives a very solid theoretical grounding in how these data structures work and why they are efficient."

"I feel I have a deep understanding of the underlying principles and algorithmic complexity now."

"The focus on theoretical concepts was very valuable for anyone wanting a rigorous understanding."

Assignments reinforce understanding through coding.

"The programming assignments were challenging but essential for applying the learned structures in practice."

"Working through the labs solidified my understanding more than just the lectures could on their own."

"I felt the projects gave me hands-on experience with implementing these important data structures."

Concepts are explained clearly and effectively.

"The lectures were incredibly clear, making complex topics easy to grasp and understand."

"I appreciated how the instructor broke down abstract concepts into understandable parts."

"Everything was explained step-by-step, which really helped my understanding of the material."

Assumes prior programming knowledge.

"This course assumes you have a strong programming background already before you start."

"If you're new to coding, you might struggle significantly with the coding assignments provided."

"It's definitely best if you've taken an introductory programming course before starting this one."

Course material and assignments are challenging.

"This course is quite challenging, especially the assignments which require significant effort and time commitment."

"Be prepared to spend a lot of time on this course; it's not easy and moves at a decent pace."

"I found the pace quite fast at times and the material dense, requiring careful review."

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 Ordered Data Structures with these activities:

Create a Mind Map of Course Concepts

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Create a visual representation of the course concepts using a mind map tool such as MindMeister or XMind.

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Brainstorm the main concepts of the course.
Create a central node for the main topic of the course.
Add branches to the central node for each of the main concepts.
Add sub-branches to the main branches for each of the subtopics.

Organize Course Materials

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Organize course materials such as notes, assignments, quizzes, and exams to facilitate easy access and review.

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Create folders for different types of materials (e.g., notes, assignments, quizzes, exams).
File materials in the appropriate folders.
Review materials regularly to reinforce learning.

Review Tutorials on Heap Data Structures

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Explore online tutorials and resources to gain a deeper understanding of heap data structures and their applications.

Browse courses on Heaps

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Search for tutorials on heap data structures.
Watch or read the tutorials to learn about the concepts and implementation of heaps.
Practice using heaps by solving coding problems or creating your own projects.

Four other activities

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Practice Array Traversal

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Practice writing code that traverses and manipulates data stored in arrays in order to grow confidence in working with this essential data structure.

Browse courses on Arrays

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Create an array of numbers from 1 to 100.
Write a loop that iterates over the array and prints each number.
Write a loop that iterates over the array and adds each number to a running total.

Participate in Coding Challenges on LeetCode

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Practice applying data structures and algorithms by participating in coding challenges on LeetCode.

Browse courses on Data Structures

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Create an account on LeetCode.
Choose a problem to solve.
Implement a solution to the problem using the data structures and algorithms you have learned in the course.
Submit your solution and review the results.

Design a Binary Search Tree

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Create a binary search tree data structure in your preferred programming language. This will help you to understand how binary search trees work and how to implement them efficiently.

Browse courses on Binary Search Trees

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Choose a programming language.
Implement the basic operations of a binary search tree, such as insertion, deletion, and search.
Test your binary search tree implementation by inserting, deleting, and searching for values.

Develop a Data Structure Library

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Create a library of data structures in your preferred programming language. This will help you to understand how different data structures work and how to use them effectively.

Browse courses on Data Structures

Show steps

Choose a programming language.
Implement the basic operations for each data structure, such as insertion, deletion, and search.
Test your data structure library by inserting, deleting, and searching for values.

Career center

Learners who complete Ordered Data Structures will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts are responsible for collecting, cleaning, and analyzing data to help businesses make informed decisions. This course provides a foundation in data structures and algorithms, which are essential for working with large datasets. The course also covers topics such as data mining and machine learning, which are becoming increasingly important in the field of data analytics.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists use data to solve complex problems and make predictions. This course provides a foundation in data structures and algorithms, which are essential for working with large datasets. The course also covers topics such as machine learning and artificial intelligence, which are becoming increasingly important in the field of data science.

See salaries and explore the career path for Data Scientist

Software Engineer

Software Engineers design, develop, and maintain software systems. This course provides a foundation in data structures and algorithms, which are essential for designing efficient and effective software. The course also covers topics such as software design and architecture, which are important for building complex software systems.

See salaries and explore the career path for Software Engineer

Database Administrator

Database Administrators are responsible for managing and maintaining databases. This course provides a foundation in data structures and algorithms, which are essential for designing and implementing efficient databases. The course also covers topics such as database security and performance tuning, which are important for ensuring the integrity and performance of databases.

See salaries and explore the career path for Database Administrator

Systems Analyst

Systems Analysts design and implement computer systems. This course provides a foundation in data structures and algorithms, which are essential for designing efficient and effective systems. The course also covers topics such as systems analysis and design, which are important for understanding the requirements of users and developing systems that meet those requirements.

See salaries and explore the career path for Systems Analyst

Computer Scientist

Computer Scientists research and develop new computer technologies. This course provides a foundation in data structures and algorithms, which are essential for understanding the fundamental principles of computer science. The course also covers topics such as computer architecture and operating systems, which are important for understanding how computers work.

See salaries and explore the career path for Computer Scientist

Information Security Analyst

Information Security Analysts protect computer systems and data from unauthorized access, use, disclosure, disruption, modification, or destruction. This course provides a foundation in data structures and algorithms, which are essential for understanding the security threats to computer systems and developing effective security measures. The course also covers topics such as cryptography and network security, which are important for protecting data and systems.

See salaries and explore the career path for Information Security Analyst

Web Developer

Web Developers design and develop websites and web applications. This course provides a foundation in data structures and algorithms, which are essential for designing efficient and effective websites. The course also covers topics such as web design and development, which are important for understanding the principles of web development.

See salaries and explore the career path for Web Developer

Mobile Developer

Mobile Developers design and develop mobile applications. This course provides a foundation in data structures and algorithms, which are essential for designing efficient and effective mobile applications. The course also covers topics such as mobile development and design, which are important for understanding the principles of mobile development.

See salaries and explore the career path for Mobile Developer

Game Developer

Game Developers design and develop video games. This course provides a foundation in data structures and algorithms, which are essential for designing efficient and effective games. The course also covers topics such as game design and development, which are important for understanding the principles of game development.

See salaries and explore the career path for Game Developer

Artificial Intelligence Engineer

Artificial Intelligence Engineers design and develop artificial intelligence systems. This course provides a foundation in data structures and algorithms, which are essential for understanding the fundamental principles of artificial intelligence. The course also covers topics such as machine learning and natural language processing, which are important for developing intelligent systems.

See salaries and explore the career path for Artificial Intelligence Engineer

Machine Learning Engineer

Machine Learning Engineers design and develop machine learning systems. This course provides a foundation in data structures and algorithms, which are essential for understanding the fundamental principles of machine learning. The course also covers topics such as machine learning and data mining, which are important for developing intelligent systems.

See salaries and explore the career path for Machine Learning Engineer

Data Architect

Data Architects design and implement data architectures. This course provides a foundation in data structures and algorithms, which are essential for understanding the principles of data architecture. The course also covers topics such as data warehousing and data integration, which are important for managing and integrating data from multiple sources.

See salaries and explore the career path for Data Architect

Cloud Architect

Cloud Architects design and implement cloud computing architectures. This course provides a foundation in data structures and algorithms, which are essential for understanding the principles of cloud computing. The course also covers topics such as cloud security and cloud performance, which are important for designing and implementing secure and efficient cloud architectures.

See salaries and explore the career path for Cloud Architect

DevOps Engineer

DevOps Engineers design and implement DevOps pipelines. This course provides a foundation in data structures and algorithms, which are essential for understanding the principles of DevOps. The course also covers topics such as continuous integration and continuous delivery, which are important for automating the software development process.

See salaries and explore the career path for DevOps Engineer

Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Ordered Data Structures.

Cover image

Cover image

Introduction to Algorithms, fourth edition

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Classic textbook on algorithms. It provides a comprehensive introduction to the subject, covering a wide range of topics, including data structures.

Introduction to Algorithms, fourth edition

Introduction to Algorithms, fourth edition

Cover image

Cover image

Data Structures and Algorithms in Java

Save

Is another classic textbook on algorithms and data structures. It provides a comprehensive treatment of the subject, with a focus on practical applications.

Data Structures and Algorithms in Java

Data Structures and Algorithms in Java, 6th Edition

Cover image

Cover image

Data Structures & Algorithms in Python

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Provides a comprehensive introduction to data structures and algorithms, including the ones covered in this course. It is written in Java, which is the language used in this course.

Data Structures & Algorithms in Python

Data Structures & Algorithms in Python

Cover image

Cover image

Data Structures and Algorithms in Java

Save

C++-based introduction to data structures and algorithms. It good resource for students who are familiar with C++ and want to learn more about data structures and algorithms.

Data Structures and Algorithms in Java

Data Structures and Algorithms in Java, 6th Edition

Cover image

Cover image

Data Structures and Algorithms in Java

Save

Provides a comprehensive introduction to data structures and algorithms in Java. It good resource for students who are familiar with Java and want to learn more about data structures and algorithms.

Data Structures and Algorithms in Java

Data Structures and Algorithms in Java

Cover image

Cover image

Data Structures & Algorithms in Python

Save

Provides a comprehensive introduction to data structures and algorithms in Python. It good resource for students who are familiar with Python and want to learn more about data structures and algorithms.

Data Structures & Algorithms in Python (Developer's...

Data Structures & Algorithms in Python

Cover image

Cover image

Data Structures and Algorithm Analysis in C++

Save

Provides a comprehensive introduction to data structures and algorithms in C++. It good resource for students who are familiar with C++ and want to learn more about data structures and algorithms.

Data Structures And Algorithm Analysis in C++

Data Structures and Algorithm Analysis in C++

Data Structures and Algorithm Analysis in C++ by...

Cover image

Cover image

Data Structures and Algorithms Made Easy

Save

Provides a clear and concise introduction to data structures and algorithms, with a focus on practical applications. It good resource for students who are new to the subject.

Data Structures and Algorithms Made Easy in Java:...

Data Structures and Algorithms Made Easy: Data...

Data Structures and Algorithms Made Easy in Java:...

Data Structures and Algorithms Made Easy: Data...

Data Structures and Algorithms Made Easy in Java:...

Data Structures and Algorithms Made Easy: Data...

Data Structures and Algorithms Made Easy: Data...

Data Structures and Algorithms Made Easy

Data Structures and Algorithms Made Easy: Data...

Data Structures and Algorithms Made Easy: Data...

Cover image

Cover image

Data Structures and Algorithms in Java, 6th Edition

Save

Python-based introduction to data structures and algorithms. It good resource for students who are familiar with Python and want to learn more about data structures and algorithms.

Data Structures and Algorithms in Java 6th Edition...

Data Structures and Algorithms in Java, 6th Edition

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Via

Coursera

Institution

University of Illinois at Urbana-Champaign

Instructor

Wade Fagen-Ulmschneider

Language

English

Transcripts

Español Français Português Deutsch Italiano 中文 العربية 한국어 日本語 हिंदी Nederlands Svenska Pусский Türkçe Polski Ελληνικά українська мова magyar nyelv Bahasa Indonesia ไทย қазақша اُردُو, فارسی বাংলা tiếng Việt پښتو آذربایجان دیلی

This course belongs to a collection called Accelerated Computer Science Fundamentals. It's comprised of three courses:

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Develops familiarity with data structures like arrays, linked lists, heaps, trees, and queues, which are fundamental for computer science and programming

Taught by Wade Fagen-Ulmschneider, who is recognized for their work in data structures and algorithms

Delves into graph theory, which is highly relevant to topics in computer science, mathematics, networks, and data science

Emphasizes implementing data structures from scratch, building a strong foundation for the practical use of data structures

May require prior programming experience for a smoother learning experience, as it assumes basic concepts

Balances theory with practical implementation, providing a comprehensive understanding of data structures and their applications

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