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Intelligent routine management for open credit system

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dc.contributor.advisor Mostakim, Moin
dc.contributor.advisor Shaw, Dipan Lal
dc.contributor.author Jahan, Sifat E
dc.contributor.author Brishte, Ruksana Akter
dc.contributor.author Islam, Sadia Mehrose
dc.date.accessioned 2015-09-03T08:39:56Z
dc.date.available 2015-09-03T08:39:56Z
dc.date.copyright 2015
dc.date.issued 2015-08-24
dc.identifier.other ID 11201037
dc.identifier.other ID 12101121
dc.identifier.other ID 13101294
dc.identifier.uri http://hdl.handle.net/10361/4376
dc.description This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2015. en_US
dc.description Cataloged from PDF version of thesis report.
dc.description Includes bibliographical references (page 54-55).
dc.description.abstract In this era of technology, for completing a task one relies heavily on computer. It has become an important part of one’s life which helps to reduce manual work. Now a days, time plays a vital role in an individual’s life. Hence, we need to keep track of time and distribute it at a work or task accordingly so that it is effective and efficient. In order to achieve this, we need to manage routine efficiently, and intelligently which is a challenge. Taking this importance and challenge into account, we proposed the Intelligent Routine Management System, in short IRM, for university to repair a semester’s routine. This helps us to manage routine in a way such that one can make most out of the time, and to achieve this we used genetic algorithm (G.A.) with constraints which makes it effective and efficient. It is a user friendly system and proposes a routine based on the main data, the faculty preferences and few constraints. It processes the data according to our designed genetic algorithm and checks the efficiency based on the given constraints. Thus, it proposes a routine which is used as the class schedule for a semester of a university. en_US
dc.description.statementofresponsibility Sifat E Jahan
dc.description.statementofresponsibility Ruksana Akter Brishte
dc.description.statementofresponsibility Sadia Mehrose Islam
dc.format.extent 55 pages
dc.language.iso en en_US
dc.publisher BRAC University en_US
dc.rights BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subject Computer science and engineering en_US
dc.subject Open credit system en_US
dc.title Intelligent routine management for open credit system en_US
dc.type Thesis en_US
dc.contributor.department Department of Computer Science and Engineering, BRAC University
dc.description.degree B. Computer Science and Engineering


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