We have discussed greedy algorithm during lectures. A greedy algorithm is an algorithm that recursively construct a set of objects from the smallest possible constituent parts. At each one of the iterations, the algorithm takes the best that it can get right now, without regards for future consequences. The algorithm hopes that by choosing a local optimum at each one of the iterations, it can end up at a global optimum. In this assignment, you will write a program to schedule final examination for the examination department so that no student has two examinations at the same time. The goal of this assignment is to expose you to the implementation of greedy algorithms that solves a problem with constraints. You will use a greedy algorithm to determine an assignment of classes to examination slots (schedules) such that: 1. No student, enrolled in two subjects, is assigned to the same examination slot (schedule.) 2. Any attempt to combine two slots into one would violate rule 1. Input to the program will consist of the name of a data file. This file will contain the following data: The number of students enrolled in the current semester Repeated rows of the following: o Name of the student and the total number of subjects enrolled o The subject code the student is enrolled in. A sample of an input file is as follow: 3 Melissa, 4 CSCI203 CSCI235 CSC1222 CSCI205 Bernard, 4 CSCI213 CSCI222 CSCI204 CSCI203 Terrence, 4 CSCI212 CSCI203 CSCI235 CSCI213
We have discussed greedy algorithm during lectures. A greedy algorithm is an algorithm that recursively construct a set of objects from the smallest possible constituent parts. At each one of the iterations, the algorithm takes the best that it can get right now, without regards for future consequences. The algorithm hopes that by choosing a local optimum at each one of the iterations, it can end up at a global optimum. In this assignment, you will write a program to schedule final examination for the examination department so that no student has two examinations at the same time. The goal of this assignment is to expose you to the implementation of greedy algorithms that solves a problem with constraints. You will use a greedy algorithm to determine an assignment of classes to examination slots (schedules) such that: 1. No student, enrolled in two subjects, is assigned to the same examination slot (schedule.) 2. Any attempt to combine two slots into one would violate rule 1. Input to the program will consist of the name of a data file. This file will contain the following data: The number of students enrolled in the current semester Repeated rows of the following: o Name of the student and the total number of subjects enrolled o The subject code the student is enrolled in. A sample of an input file is as follow: 3 Melissa, 4 CSCI203 CSCI235 CSC1222 CSCI205 Bernard, 4 CSCI213 CSCI222 CSCI204 CSCI203 Terrence, 4 CSCI212 CSCI203 CSCI235 CSCI213
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
Related questions
Question
File name : A3Data.txt
Data Given
5
Belinda, 4
CSCI212
CSCI235
CSCI222
CSCI203
Calvin, 3
CSCI205
CSCI204
CSCI222
Johnathan, 4
CSCI212
CSCI222
CSCI204
CSCI203
Ann, 2
CSCI204
CSCI213
Brandon, 4
CSCI212
CSCI203
CSCI235
CSCI213
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by step
Solved in 2 steps with 1 images
Follow-up Questions
Read through expert solutions to related follow-up questions below.
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.Recommended textbooks for you
Database System Concepts
Computer Science
ISBN:
9780078022159
Author:
Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:
McGraw-Hill Education
Starting Out with Python (4th Edition)
Computer Science
ISBN:
9780134444321
Author:
Tony Gaddis
Publisher:
PEARSON
Digital Fundamentals (11th Edition)
Computer Science
ISBN:
9780132737968
Author:
Thomas L. Floyd
Publisher:
PEARSON
Database System Concepts
Computer Science
ISBN:
9780078022159
Author:
Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:
McGraw-Hill Education
Starting Out with Python (4th Edition)
Computer Science
ISBN:
9780134444321
Author:
Tony Gaddis
Publisher:
PEARSON
Digital Fundamentals (11th Edition)
Computer Science
ISBN:
9780132737968
Author:
Thomas L. Floyd
Publisher:
PEARSON
C How to Program (8th Edition)
Computer Science
ISBN:
9780133976892
Author:
Paul J. Deitel, Harvey Deitel
Publisher:
PEARSON
Database Systems: Design, Implementation, & Manag…
Computer Science
ISBN:
9781337627900
Author:
Carlos Coronel, Steven Morris
Publisher:
Cengage Learning
Programmable Logic Controllers
Computer Science
ISBN:
9780073373843
Author:
Frank D. Petruzella
Publisher:
McGraw-Hill Education