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.
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來自UNORDERED DATA STRUCTURES的熱門評論
A lot of new concepts learned. However I would have like to do more programming, exploring more features of C++. Changing only one or two lines of an existing code does not help much in our learning.
I wish the course was more detailed. Some PDFs to explain the concept more. Other than that I am happy with the content.
Very Challenging course. Learned a lot, very clear instruction. Assignments were interesting and challenging.
This course is good though some of the contents may need refinement. Code examples are very helpful.
Excellent course! Looking forward to a more advanced course from the same course staff!
The lecturer is super excellent and super clear. I wish he has more courses here.
Simple examples make the concepts easy to understand. A great course.
Enjoyed the challenge questions and projects! Thanks for the course
Very Nice Course, recommended for every Computer student.
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關於 Accelerated Computer Science Fundamentals 專項課程