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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
Syllabus
Orientation; Linear Structures
Introduction to Tree Structures
Advanced Tree Structures
Read more
Heap Structures
Good to know
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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.
Create a Mind Map of Course Concepts
Show steps
Create a visual representation of the course concepts using a mind map tool such as MindMeister or XMind.
Show steps
Show steps
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
Show steps
Organize course materials such as notes, assignments, quizzes, and exams to facilitate easy access and review.
Show steps
Show steps
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
Show steps
Explore online tutorials and resources to gain a deeper understanding of heap data structures and their applications.
Browse courses on
Heaps
Show steps
Show steps
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
Show steps
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
Show steps
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
Show steps
Practice applying data structures and algorithms by participating in coding challenges on LeetCode.
Browse courses on
Data Structures
Show steps
Show steps
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
Show steps
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
Show steps
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
Show steps
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
Show steps
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 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.
Data Scientist
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.
Data Architect
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.
Software Engineer
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.
Database Administrator
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.
Web Developer
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.
Information Security Analyst
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.
Cloud 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.
Computer Scientist
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.
Game 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.
DevOps Engineer
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.
Systems Analyst
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.
Mobile 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.
Artificial Intelligence Engineer
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.
Machine Learning 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.
For more career information including salaries, visit:
OpenCourser.com/course/2i4xtc/ordered
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.
Classic textbook on algorithms. It provides a comprehensive introduction to the subject, covering a wide range of topics, including data structures.
Is another classic textbook on algorithms and data structures. It provides a comprehensive treatment of the subject, with a focus on practical applications.
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.
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.
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.
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.
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.
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.
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.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/2i4xtc/ordered
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Institution
University of Illinois at Urbana-Champaign
Instructor
Wade Fagen-Ulmschneider
Language
English
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آذربایجان دیلی
This course belongs to a
collection
called
Accelerated Computer Science Fundamentals. It's comprised of three courses:
- Unordered Data Structures
- Object-Oriented Data Structures in C++
- 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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