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Ordered Data Structures

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
Read more
Heap Structures

Good to know

Know what's good
, what to watch for
, 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

Strong fundamentals in ordered data structures

Learners say this course offers a comprehensive and well-structured introduction to ordered data structures. They emphasize the course's engaging and challenging assignments, which help them develop solid problem-solving skills. The clear explanations, well-paced lectures, and supportive community are also highly appreciated. While some learners mention they need to supplement with external resources for a deeper understanding, overall, they highly recommend this course for learners looking to build a strong foundation in ordered data structures.
Helpful Community
"The weekly forums were very helpful."
"Appreciate the effort put in by staff to make the course easily manageable online."
Knowledgeable and Passionate
"Wade is an excellent teacher who explains abstract concepts extremely well."
"The course material is thorough and the exercises are challenging yet enjoyable."
"The forums seems to be not very active now, so I advise this course for those with some CS and C++ fundamentals already, namely basic C++ syntax and some understanding of the Big-Oh time complexity and sorting algorithms."
Demanding but Rewarding
"The programming challenges and project give me the chance to practice key concepts in data structures."
"I had always worried about how to correctly handle all the details of getting a double linked-list inserted correctly."
"Prof. Wade class definitely gives me the confidence to control the computer at this level of detail rather than deferring all the power/manipulation to library code."
Clear and Engaging
"The lectures are great, but beware that you need to work on learning the data structures on your own, as the programming assignments won't have you implementing trees or heaps on your own."
"Code is provided that you can study, but you may want to write your own implementations to fully learn."
"The video content is just right for me, and there is a whole lot of reading material inside the working file which are perfectly example for the detail implementation of the exercises."

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
Create a visual representation of the course concepts using a mind map tool such as MindMeister or XMind.
Show steps
  • 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
Organize course materials such as notes, assignments, quizzes, and exams to facilitate easy access and review.
Show steps
  • 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
Explore online tutorials and resources to gain a deeper understanding of heap data structures and their applications.
Browse courses on Heaps
Show steps
  • 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
Expand to see all activities and additional details
Show all seven activities
Practice Array Traversal
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
Show steps
  • 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
Practice applying data structures and algorithms by participating in coding challenges on LeetCode.
Browse courses on Data Structures
Show steps
  • 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
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
Show steps
  • 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
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
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
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
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
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
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
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
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
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
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
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
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

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
Introduction to Algorithms, fourth edition
Save
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
Hardcover
$$$$
Introduction to Algorithms, fourth edition
Kindle Edition
$$$
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
Paperback
$$$$
Data Structures and Algorithms in Java, 6th Edition
Kindle Edition
$$$
Cover image
Data Structures & Algorithms in Python
Save
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
Paperback
Check
Data Structures & Algorithms in Python
Kindle Edition
Check
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
Paperback
$$$$
Data Structures and Algorithms in Java, 6th Edition
Kindle Edition
$$$
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
Hardcover
$$$
Data Structures and Algorithms in Java
Kindle Edition
$$
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...
Paperback
$$$
Data Structures & Algorithms in Python
Kindle Edition
$$
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++
Hardcover
$$$
Data Structures and Algorithm Analysis in C++
Paperback
$$$
Data Structures and Algorithm Analysis in C++ by...
Paperback
$$$$
Cover image
Data Structures and Algorithms Made Easy
Save
Provides a clear and concise introduction to data structures and algorithms, with a focus on practical applications. It good resource for students who are new to the subject.
Data Structures and Algorithms Made Easy in Java:...
Paperback
$$
Data Structures and Algorithms Made Easy: Data...
Paperback
$$
Data Structures and Algorithms Made Easy in Java:...
Kindle Edition
$
Data Structures and Algorithms Made Easy: Data...
Paperback
$$
Data Structures and Algorithms Made Easy in Java:...
Kindle Edition
$
Data Structures and Algorithms Made Easy: Data...
Kindle Edition
$
Data Structures and Algorithms Made Easy: Data...
Paperback
$$
Data Structures and Algorithms Made Easy
Kindle Edition
$
Data Structures and Algorithms Made Easy: Data...
Paperback
$$$
Data Structures and Algorithms Made Easy: Data...
Paperback
$$
Cover image
Data Structures and Algorithms in Java, 6th Edition
Save
Python-based introduction to data structures and algorithms. It good resource for students who are familiar with Python and want to learn more about data structures and algorithms.
Data Structures and Algorithms in Java 6th Edition...
Paperback
$$$
Data Structures and Algorithms in Java, 6th Edition
Kindle 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:
  1. Unordered Data Structures
  2. Object-Oriented Data Structures in C++
  3. Ordered Data Structures (viewing)
Good to know
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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