Week 5 Summmative assessment
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Summative Assessment: Data Structures Reflection
Julie M Regets
University of Phoenix
DAT/305
Joe Lodewyck
July 3, 2023
In this course, I was enjoying the learning in the first four weeks, I recall best those things we reiterated via the weekly discussions:
algorithms - any problem, task or calculation that that can be completed via the description of the specific steps needed to find the answer either in English, hardware,
psuedocode or in a programming language.
data structures – the way we organize and work with data.
binary search trees – A way to sort data and make searching faster by cutting down on
the number of stops a search must make looking for a value.
singly and doubly linked lists - consist of a "head", a series of nodes that contain data with a pointer to the next node, and a "tail" pointing to null. SSLs search unilaterally and DLLs have a second pointer and can search bidirectionally.
hash tables – a ‘bucketed” approach to sorting.
stacks & queues– stacks (last in, first Out), queues (first in, first out).
While the Zybooks information does a relatively good job of defining and creating exercises that help comprehension, it does not always provide the context that helps with grasping the concepts. I did find simple google searches helped to find material on the topics that
was worded in such a way as to turn on the proverbial lightbulb. However, this course has highlighted the fact that I have a lot to learn. I particularly struggled with the concepts of week five adjacency list content, particularly those of breadth first, topological sorts, and the concepts in Zybooks, chapter 5:15 through 5:29. I was able to complete the exercises, but I am seriously struggling with the context in which these algorithms are used. In my limited experience, it seems I grasp these things when I do the coding myself rather then just running the code in a simulator provided. I have also been finding that the content of the actual Zybooks assignments and “additional learning activities” are not always sufficient in furthering my understanding in terms of application and as I advance in my courses, I may need to go outside of the provided materials to gain more insight. It is my hope that the exposure to these concepts I am gaining
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- Is it fair to argue that in this day and age of machine learning, algorithms and data structures no longer serve a purpose or have any practical application?arrow_forwardWhat is the importance of data structures in computer science?arrow_forwardAre Data Structures and Algorithms no longer used today in the age of Machine Learning? and what is the relation between them?arrow_forward
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- Data structures and data models are two different things.arrow_forwardDo Data Structures and Algorithms become outdated as a result of Machine Learning? How likely are you to disagree with the following assertion? What is the relationship between the two?arrow_forwardIn the discipline of computer science, what are some of the key differences between normalization and denormalization?arrow_forward
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