Genetik Algoritma Kullanılarak Ders Çizelgeleme Sistemi Tasarımı

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2008

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Software Engineering
(2005)
Department of Software Engineering was founded in 2005 as the first department in Ankara in Software Engineering. The recent developments in current technologies such as Artificial Intelligence, Machine Learning, Big Data, and Blockchains, have placed Software Engineering among the top professions of today, and the future. The academic and research activities in the department are pursued with qualified faculty at Undergraduate, Graduate and Doctorate Degree levels. Our University is one of the two universities offering a Doctorate-level program in this field. In addition to focusing on the basic phases of software (analysis, design, development, testing) and relevant methodologies in detail, our department offers education in various areas of expertise, such as Object-oriented Analysis and Design, Human-Computer Interaction, Software Quality Assurance, Software Requirement Engineering, Software Design and Architecture, Software Project Management, Software Testing and Model-Driven Software Development. The curriculum of our Department is catered to graduate individuals who are prepared to take part in any phase of software development of large-scale software in line with the requirements of the software sector. Department of Software Engineering is accredited by MÜDEK (Association for Evaluation and Accreditation of Engineering Programs) until September 30th, 2021, and has been granted the EUR-ACE label that is valid in Europe. This label provides our graduates with a vital head-start to be admitted to graduate-level programs, and into working environments in European Union countries. The Big Data and Cloud Computing Laboratory, as well as MobiLab where mobile applications are developed, SimLAB, the simulation laboratory for Medical Computing, and software education laboratories of the department are equipped with various software tools and hardware to enable our students to use state-of-the-art software technologies. Our graduates are employed in software and R&D companies (Technoparks), national/international institutions developing or utilizing software technologies (such as banks, healthcare institutions, the Information Technologies departments of private and public institutions, telecommunication companies, TÜİK, SPK, BDDK, EPDK, RK, or universities), and research institutions such TÜBİTAK.

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Ders çizelgeleme problemi, daha önceden belirlenmiş olan kısıtlar göz önüne alınarak belirli zaman aralıklarına derslerin atanması olarak tanımlanır. Bütün kısıtlar dikkate alınarak, problemin elle çözümü, uzun bir zaman ve sıkı bir çalışma gerektirir. Ayrıca, belirlenen çözüm dikkatsizlikten dolayı yeterli olmayabilir. Bu tezde, kısıt tabanlı üniversite ders çizelgeleme probleminin Genetik Algoritma ile çözümü sunulmuştur. Geliştirilen sistem, Atılım Üniversitesi Mühendislik Fakültesi'nin tüm özelliklerini adresleyen esnek ve akıllı ve ders çizelgeleme faaliyetini otomatik olarak gerçekleştirebilen bir yazılım içermektedir.
Course scheduling problem defined as assigning of courses into specific time slots in a week, considering the special constraints. The manual solution of this problem by considering all constraints usually requires a long time and a hard work in order to provide an appropriate solution. In addition, the obtained solution usually is unsatisfactory due to limited human oversight. In this thesis, Genetic Algorithm (GA) is presented for solving the constraint-based university timetabling problem. The developed system includes flexible and intelligent software that automate the course scheduling task and addresses all special features found in the Atılım University?s Engineering Faculty.

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Mühendislik Bilimleri, Engineering Sciences

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67