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Wade Fagen-Ulmschneider
The Unordered Data Structures course covers the data structures and algorithms needed to implement hash tables, disjoint sets and graphs. These fundamental data structures are useful for unordered data. For example, a hash table provides immediate access to data indexed by an arbitrary key value, that could be a number (such as a memory address for cached memory), a URL (such as for a web cache) or a dictionary. Graphs are used to represent relationships between items, and this course covers several different data structures for representing graphs and several different algorithms for traversing graphs, including finding the shortest route from one node to another node. These graph algorithms will also depend on another concept called disjoint sets, so this course will also cover its data structure and associated algorithms.
Register for this course and see more details by visiting:
OpenCourser.com/course/6rb2yx/unordered
What's inside
Syllabus
Orientation; Hashing
Disjoint Sets
Graph Data Structures
Read more
Syllabus
Orientation; Hashing
Disjoint Sets
Graph Data Structures
Read more
Graph Algorithms
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores hash tables, disjoint sets, and graphs, which are essential data structures for a variety of applications
Develops strong foundational skills in data structures and algorithms, which are core skills for computer scientists and software developers
Offers hands-on labs and interactive materials to reinforce learning and provide practical experience
Taught by Wade Fagen-Ulmschneider, an experienced instructor with a strong reputation in the field
Examines graph algorithms, which are essential for solving a wide range of problems, such as finding the shortest path or identifying connected components in a network
Builds a strong foundation for beginners in data structures and algorithms
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Save Unordered Data Structures to your list so you can find it easily later:
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Reviews summary
Advanced c++ data structures
Learners say this course offers a challenging introduction to data structures in C++. It emphasizes code exercises with well-commented examples, helping students develop their programming skills. The course covers topics such as graphs, disjoint sets, and heaps. Despite some errors and pacing issues, students appreciate the clear explanations, engaging lectures, and valuable content.
Features engaging and well-made material.
"The course materials is great."
"The videos are high quality (not just slides) and the professor does a great job of walking through all the examples."
"The lectures are clear and very good."
Offers challenging assignments and projects.
"The challenges are tough and the course material covers data structures and algorithms in great detail while teaching you C++ code."
"The assignments are quite challenging."
"The more i get used to course material and instructions, the quicker i learnt and worked through the exercises."
Provides ample hands-on exercises and projects.
"The exercises are great."
"The example code is well commented and provides great learning material."
"Forcing one to listen, read, and comprehend the content."
Pacing can be an issue, especially in later weeks.
"a little bit too fast-paced when teaching about graphs."
"the tempo of the lecture is not very well, especially for the week 4 courses."
Contains errors and typos that may be distracting.
"Still not enough assignments."
"a lot of typo and error on the video"
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 Unordered Data Structures with these
activities:
Review your mathematical concepts
Show steps
Reviewing basic concepts about functions and sets from mathematics will help you better understand some of the techniques from hash tables and graphs such as mapping values using sets.
Browse courses on
Sets
Show steps
-
Identify basic set theory principles
-
Identify basic graph theory principles
Explore geeks for geeks
Show steps
This online platform offers lots of tutorials on graph theory, hash tables, and disjoint sets with easy-to-follow examples
Show steps
-
Identify different tutorial series for graph theory
-
Look for the beginner series on hash tables
Practice problems on LeetCode
Show steps
LeetCode has many problems that closely match the graph theory and hashing concepts being taught in the course
Show steps
-
Identify problems related to graph theory
-
Identify problems related to hash tables
Four other activities
Expand to see all activities and additional details
Show all seven activities
Attempt project Euler exercises
Show steps
Attempt problems from the website to further practice your skills on graph theory, hashing, and disjoint sets
Show steps
-
Identify problems tagged as graph theory
-
Identify problems tagged as hashing
Build a simple graph database
Show steps
Building a simple graph database will greatly enhance your understanding of graphs and how data can be stored and queried
Show steps
-
Design the database schema
-
Implement queries that will retrieve and manipulate the graph data
Write a hash function for a simple dataset
Show steps
Implementing a hash function will give you a deeper appreciation for the concepts of hashing and how it efficiently stores data
Show steps
-
Design a dataset with a specific structure
-
Write the hash function using the dataset
Create visualizations of graphs
Show steps
Learning how to visualize graphs is an important element of understanding and analyzing them more effectively
Show steps
-
Explore different graph visualization tools
-
Create visualizations of complex graphs
Review your mathematical concepts
Show steps
Reviewing basic concepts about functions and sets from mathematics will help you better understand some of the techniques from hash tables and graphs such as mapping values using sets.
Browse courses on
Sets
Show steps
Show steps
Show steps
- Identify basic set theory principles
- Identify basic graph theory principles
Explore geeks for geeks
Show steps
This online platform offers lots of tutorials on graph theory, hash tables, and disjoint sets with easy-to-follow examples
Show steps
Show steps
Show steps
- Identify different tutorial series for graph theory
- Look for the beginner series on hash tables
Practice problems on LeetCode
Show steps
LeetCode has many problems that closely match the graph theory and hashing concepts being taught in the course
Show steps
Show steps
Show steps
- Identify problems related to graph theory
- Identify problems related to hash tables
Four other activities
Expand to see all activities and additional details
Show all seven activities
Attempt project Euler exercises
Show steps
Attempt problems from the website to further practice your skills on graph theory, hashing, and disjoint sets
Show steps
Show steps
Show steps
- Identify problems tagged as graph theory
- Identify problems tagged as hashing
Build a simple graph database
Show steps
Building a simple graph database will greatly enhance your understanding of graphs and how data can be stored and queried
Show steps
Show steps
Show steps
- Design the database schema
- Implement queries that will retrieve and manipulate the graph data
Write a hash function for a simple dataset
Show steps
Implementing a hash function will give you a deeper appreciation for the concepts of hashing and how it efficiently stores data
Show steps
Show steps
Show steps
- Design a dataset with a specific structure
- Write the hash function using the dataset
Create visualizations of graphs
Show steps
Learning how to visualize graphs is an important element of understanding and analyzing them more effectively
Show steps
Show steps
Show steps
- Explore different graph visualization tools
- Create visualizations of complex graphs
Career center
Learners who complete Unordered Data Structures will develop knowledge and skills
that may be useful to these careers:
Computer Scientist
Computer Scientist
The Unordered Data Structures course can be useful for Computer Scientists, as the data structures and algorithms covered in the course are fundamental to computer science. Computer Scientists need to understand how to implement hash tables, disjoint sets, and graphs, and they need to understand the algorithms for traversing graphs. This course can help Computer Scientists to build a solid foundation in these concepts.
Software Engineer
Software Engineer
The Unordered Data Structures course can be useful for Software Engineers, as the data structures and algorithms covered in the course are fundamental to software development. Software Engineers often need to implement hash tables, disjoint sets, and graphs in their work, and this course can help them to build a solid foundation in these concepts. Additionally, the course covers several different algorithms for traversing graphs, including finding the shortest route from one node to another node, which can be useful for Software Engineers who work on applications that involve routing or navigation.
Data Analyst
Data Analyst
The Unordered Data Structures course can be useful for Data Analysts, as the data structures and algorithms covered in the course are essential for handling and managing data. Data Analysts often need to use hash tables to store and retrieve data quickly, and they need to understand how to implement disjoint sets to represent relationships between data points. Additionally, the course covers several different graph algorithms, which can be useful for Data Analysts who work on applications that involve data visualization or network analysis.
Database Administrator
Database Administrator
The Unordered Data Structures course can be useful for Database Administrators, as the data structures and algorithms covered in the course are essential for designing and managing databases. Database Administrators need to understand how to implement hash tables to store and retrieve data quickly, and they need to understand how to implement disjoint sets to represent relationships between data points. Additionally, the course covers several different graph algorithms, which can be useful for Database Administrators who work on applications that involve data visualization or network analysis.
Information Security Analyst
Information Security Analyst
The Unordered Data Structures course can be useful for Information Security Analysts, as the data structures and algorithms covered in the course are essential for designing and implementing security systems. Information Security Analysts need to understand how to implement hash tables to store and retrieve data securely, and they need to understand how to implement disjoint sets to represent relationships between security components. Additionally, the course covers several different graph algorithms, which can be useful for Information Security Analysts who work on applications that involve network security or intrusion detection.
Database Designer
Database Designer
The Unordered Data Structures course can be useful for Database Designers, as the data structures and algorithms covered in the course are essential for designing and implementing databases. Database Designers need to understand how to implement hash tables to store and retrieve data quickly, and they need to understand how to implement disjoint sets to represent relationships between data points. Additionally, the course covers several different graph algorithms, which can be useful for Database Designers who work on applications that involve data visualization or network analysis.
Information Architect
Information Architect
The Unordered Data Structures course can be useful for Information Architects, as the data structures and algorithms covered in the course are essential for designing and implementing information systems. Information Architects need to understand how to implement hash tables to store and retrieve data quickly, and they need to understand how to implement disjoint sets to represent relationships between data points. Additionally, the course covers several different graph algorithms, which can be useful for Information Architects who work on applications that involve data visualization or network analysis.
Network Architect
Network Architect
The Unordered Data Structures course can be useful for Network Architects, as the data structures and algorithms covered in the course are essential for designing and implementing computer networks. Network Architects need to understand how to implement hash tables to store and retrieve data quickly, and they need to understand how to implement disjoint sets to represent relationships between network components. Additionally, the course covers several different graph algorithms, which can be useful for Network Architects who work on applications that involve network optimization or network security.
Data Scientist
Data Scientist
The Unordered Data Structures course can be useful for Data Scientists, as the data structures and algorithms covered in the course are essential for handling and managing data. Data Scientists often need to use hash tables to store and retrieve data quickly, and they need to understand how to implement disjoint sets to represent relationships between data points. Additionally, the course covers several different graph algorithms, which can be useful for Data Scientists who work on applications that involve data visualization or network analysis.
Systems Analyst
Systems Analyst
The Unordered Data Structures course can be useful for Systems Analysts, as the data structures and algorithms covered in the course are essential for designing and implementing software systems. Systems Analysts need to understand how to implement hash tables to store and retrieve data quickly, and they need to understand how to implement disjoint sets to represent relationships between system components. Additionally, the course covers several different graph algorithms, which can be useful for Systems Analysts who work on applications that involve network analysis or system optimization.
Software Architect
Software Architect
The Unordered Data Structures course can be useful for Software Architects, as the data structures and algorithms covered in the course are essential for designing and implementing software systems. Software Architects need to understand how to implement hash tables to store and retrieve data quickly, and they need to understand how to implement disjoint sets to represent relationships between system components. Additionally, the course covers several different graph algorithms, which can be useful for Software Architects who work on applications that involve network analysis or system optimization.
Applications Architect
Applications Architect
The Unordered Data Structures course can be useful for Applications Architects, as the data structures and algorithms covered in the course are essential for designing and implementing software applications. Applications Architects need to understand how to implement hash tables to store and retrieve data quickly, and they need to understand how to implement disjoint sets to represent relationships between application components. Additionally, the course covers several different graph algorithms, which can be useful for Applications Architects who work on applications that involve network analysis or application optimization.
Data Engineer
Data Engineer
The Unordered Data Structures course may be useful for Data Engineers, as the data structures and algorithms covered in the course are essential for handling and managing data. Data Engineers often need to use hash tables to store and retrieve data quickly, and they need to understand how to implement disjoint sets to represent relationships between data points. Additionally, the course covers several different graph algorithms, which can be useful for Data Engineers who work on applications that involve data visualization or network analysis.
Web Developer
Web Developer
The Unordered Data Structures course may be useful for Web Developers, as the data structures and algorithms covered in the course are essential for designing and implementing web applications. Web Developers often need to use hash tables to store and retrieve data quickly, and they need to understand how to implement disjoint sets to represent relationships between web components. Additionally, the course covers several different graph algorithms, which can be useful for Web Developers who work on applications that involve network optimization or web security.
Software Developer
Software Developer
The Unordered Data Structures course may be useful for Software Developers, as the data structures and algorithms covered in the course are fundamental to software development. Software Developers often need to implement hash tables, disjoint sets, and graphs in their work, and this course can help them to build a foundation in these concepts. Additionally, the course covers several different algorithms for traversing graphs, including finding the shortest route from one node to another node, which can be useful for Software Developers who work on applications that involve routing or navigation.
For more career information including salaries, visit:
OpenCourser.com/course/6rb2yx/unordered
Reading list
We've selected 13 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
Unordered Data Structures.
Classic textbook on algorithms and data structures. It provides a comprehensive overview of the most important algorithms and data structures, and it valuable resource for anyone who wants to learn more about these topics. It commonly used textbook in academic institutions.
Provides a comprehensive overview of data structures and algorithms in Java. It valuable resource for anyone who wants to learn more about these topics, and it is particularly useful for those who are interested in implementing data structures and algorithms in Java.
Provides a concise overview of algorithms and data structures. It valuable resource for anyone who wants to learn more about these topics, and it is particularly useful for those who are interested in implementing algorithms and data structures in Java.
Provides a comprehensive overview of data structures and algorithm analysis in C++. It valuable resource for anyone who wants to learn more about these topics, and it is particularly useful for those who are interested in implementing data structures and algorithms in C++.
Provides a comprehensive overview of data structures and algorithms in Python. It valuable resource for anyone who wants to learn more about these topics, and it is particularly useful for those who are interested in implementing data structures and algorithms in Python.
Provides a comprehensive overview of hashing. It valuable resource for anyone who wants to learn more about this topic.
Provides a comprehensive overview of disjoint sets. It valuable resource for anyone who wants to learn more about this topic.
Provides a comprehensive overview of graphs. It valuable resource for anyone who wants to learn more about this topic.
Provides a comprehensive overview of graph algorithms. It valuable resource for anyone who wants to learn more about this topic.
Save
Provides a comprehensive overview of graph algorithms in C++. It valuable resource for anyone who wants to learn more about this topic.
Provides a comprehensive overview of data structures and algorithms for graphs. It valuable resource for anyone who wants to learn more about this topic.
Provides a comprehensive overview of algorithms for graphs. It valuable resource for anyone who wants to learn more about this topic.
Save
Provides a comprehensive overview of graph theory. It valuable resource for anyone who wants to learn more about this topic.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/6rb2yx/unordered
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Institution
University of Illinois at Urbana-Champaign
Instructor
Wade Fagen-Ulmschneider
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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 (viewing)
- Object-Oriented Data Structures in C++
- Ordered Data Structures
Good to know
Explores hash tables, disjoint sets, and graphs, which are essential data structures for a variety of applications
Develops strong foundational skills in data structures and algorithms, which are core skills for computer scientists and software developers
Offers hands-on labs and interactive materials to reinforce learning and provide practical experience
Taught by Wade Fagen-Ulmschneider, an experienced instructor with a strong reputation in the field
Examines graph algorithms, which are essential for solving a wide range of problems, such as finding the shortest path or identifying connected components in a network
Builds a strong foundation for beginners in data structures and algorithms
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