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dc.contributor.advisorMostakim, Moin
dc.contributor.advisorShaw, Dipan Lal
dc.contributor.authorJahan, Sifat E
dc.contributor.authorBrishte, Ruksana Akter
dc.contributor.authorIslam, Sadia Mehrose
dc.date.accessioned2015-09-03T08:39:56Z
dc.date.available2015-09-03T08:39:56Z
dc.date.copyright2015
dc.date.issued2015-08-24
dc.identifier.otherID 11201037
dc.identifier.otherID 12101121
dc.identifier.otherID 13101294
dc.identifier.urihttp://hdl.handle.net/10361/4376
dc.descriptionThis 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.descriptionCataloged from PDF version of thesis report.
dc.descriptionIncludes bibliographical references (page 54-55).
dc.description.abstractIn 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.statementofresponsibilitySifat E Jahan
dc.description.statementofresponsibilityRuksana Akter Brishte
dc.description.statementofresponsibilitySadia Mehrose Islam
dc.format.extent55 pages
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC 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.subjectComputer science and engineeringen_US
dc.subjectOpen credit systemen_US
dc.titleIntelligent routine management for open credit systemen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, BRAC University
dc.description.degreeB. Computer Science and Engineering


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