Browsing by Author "Zhuniskhanov M."

Now showing 1 - 3 of 3
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    Analysis of Course Schedule Generation Tool and Its Integration to University Automation System
    (Faculty of Engineering and Natural Science, 2020) Zhuniskhanov M.
    This research examines the university course schedule generation problem. It begins with the definition of the inconveniences of the old system. Then determine the importance of reducing the resource usage while integrating with the university automation system. This discussion integrates with an overview of the problem itself both from practical and academic perspectives. Then course schedule generation algorithms discussed with the ways of implementing it. This is followed by benchmark and resource usage comparison.
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    IMPLEMENTING COURSE SCHEDULE GENERATION APPLICATION FOR UNIVERSITY
    (СДУ хабаршысы - 2021, 2021) Zhuniskhanov M. ; Suliyev R.
    Abstract. This work is about researching and implementing Course Schedule Generation Application for university. She compares other similar applications in this area and explores important points. Through UML diagrams, important concepts and development progress are explained. Screenshots of using the application will also be provided. Dataset, configuration and rules explained. In the end, we will talk about the importance of such an application and facilitate planning for the university.
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    OPTIMIZATION ALGORITHMS OVERVIEW FOR COURSE SCHEDULING
    (СДУ хабаршысы - 2021, 2021) Zhuniskhanov M. ; Suliyev R.
    Abstract. Today we have a lot of optimization algorithms that can be used for course scheduling, but the main question is which of them fulfills our requirements better and what are the advantages of one from the others. Since course scheduling is an NP-problem, in this article we will look at a few of algorithms that are used to solve different problems and have proved themselves only on the best side and compare their main advantages. When comparing, we will rely not only on the accuracy of the results, but also on the speed of solving complex problems, and on solving complex conditions.