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Reflective Learning Journal in Data Structures

The Learning Journal is a tool for self-reflection on the learning process. In addition to completing directed tasks, you should use the Learning Journal to document your activities, record problems you may have encountered and to draft answers for Discussion Forums and Assignments. The Learning Journal should be updated regularly (on a weekly basis), as the learning journals will be assessed by your instructor as part of your Final Grade. Your learning journal entry must be a reflective statement that considers the following questions: · Describe what you did. This does not mean that you copy and paste from what you have posted or the assignments you have prepared. You need to describe what you did and how you did it. This week was tough reading the book. I did not know several terms from the book, and it was difficult to follow. I found out the need-to-know statistics and Calculus at mid- level to calculate even higher numbers. I may be able to make an asymptotic analysis of the algorithm only taking constant time. I think it was very useful the discussion forum for this purpose. In my case I found out 3 different ways to solve the problem with basic calculations and limits. · Describe your reactions to what you did I am impressed that I still have a somewhat good foundation in math. I did have my time suffering for learning even the basics. I am glad that I could successfully understand and the need to do this type of analysis to build good performing software. I would like to have some other examples where the numbers are close to infinite to see if calculus can help to reach it out. · Describe any feedback you received or any specific interactions you had. Discuss how they were helpful My interactions with my peers were short and on topic. There were no questions and pretty much I tried to keep it simple to understand it for myself and for others. If people like simple and useful explanations, then I will continue with them. · Describe your feelings and attitudes It is very interesting, this topic. Most developers do not use deep asymptotic analysis in general. The reason is because it is only needed in more technological innovations companies that apply artificial intelligence such as casinos or for example others software that control micro sounds like the company speechless. Pretty much it's pretty much equal to a human voice. . Describe what you learned I learned more about Big O and its importance in the increase rate. It is important to know this since with this information we can apply for more sophisticated programs. Right now, the fashion is .io programs. There are maybe fi00 times more powerful and the web pages we know right now. I know they are applying better and heavier algorithms to detect and connect for configuration at the same time from the web browser and database. Another set of questions to consider in your