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.
This course is part of the Accelerated Computer Science Fundamentals Specialization
Unordered Data Structures
Offered By
Syllabus - What you will learn from this course
Orientation; Hashing
Disjoint Sets
Graph Data Structures
Graph Algorithms
Top reviews from Unordered Data Structures
Very Challenging course. Learned a lot, very clear instruction. Assignments were interesting and challenging.
Excellent course! Looking forward to a more advanced course from the same course staff!
Instructor
Wade Fagen-Ulmschneider
Teaching Assistant ProfessorAbout University of Illinois at Urbana-Champaign
About the Accelerated Computer Science Fundamentals Specialization
Frequently Asked Questions
When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
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Is financial aid available?
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