The same professor writes a program to analyze the chat logs from the various lectures as a partial measure of class participation. Each chat log consists of multiple lines, each of form TIME, NAME, COMMENT, in the order in which they were posted to the chat . The algorithm then sorts all that data - across all the chat logs - in order of student names, and scores each set using a metric based on the number of contributions and their length. [a] What are the various input sizes to consider when analyzing the algorithmic approaches? (One is the number of students in the class, but that is not the only factor.) [b] Which sorting algorithm do you think is best suited for the sorting portion of this algorithm and why? [c] What is the time complexity of the sorting algorithm chosen in step [b] as a function of the various input sizes identified in step [a]? [d] What is the overall time complexity of the chat analysis program as described above?

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
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The same professor writes a program to analyze the chat logs from the various lectures as a partial measure of class
participation. Each chat log consists of multiple lines, each of form TIME, NAME, COMMENT, in the order in which they were
posted to the chat . The algorithm then sorts all that data - across all the chat logs - in order of student names, and scores
each set using a metric based on the number of contributions and their length.
[a] What are the various input sizes to consider when analyzing the algorithmic approaches? (One is the number of students
in the class, but that is not the only factor.)
[b] Which sorting algorithm do you think is best suited for the sorting portion of this algorithm and why?
[c] What is the time complexity of the sorting algorithm chosen in step [b] as a function of the various input sizes identified in
step [a]?
[d] What is the overall time complexity of the chat analysis program as described above?
Transcribed Image Text:The same professor writes a program to analyze the chat logs from the various lectures as a partial measure of class participation. Each chat log consists of multiple lines, each of form TIME, NAME, COMMENT, in the order in which they were posted to the chat . The algorithm then sorts all that data - across all the chat logs - in order of student names, and scores each set using a metric based on the number of contributions and their length. [a] What are the various input sizes to consider when analyzing the algorithmic approaches? (One is the number of students in the class, but that is not the only factor.) [b] Which sorting algorithm do you think is best suited for the sorting portion of this algorithm and why? [c] What is the time complexity of the sorting algorithm chosen in step [b] as a function of the various input sizes identified in step [a]? [d] What is the overall time complexity of the chat analysis program as described above?
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