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Journal articles on the topic 'Course scheduling'

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Published: 4 June 2021

Last updated: 26 July 2025

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1

Comm, Clare L., and Dennis F. X. Mathaisel. "College Course Scheduling." Journal of Research on Computing in Education 21, no. 2 (1988): 187–95. http://dx.doi.org/10.1080/08886504.1988.10781872.

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2

Quije, Clint Joy M., Rogielou P. Andam, and Maricelle M. Nueva. "Tertiary Education Teachers’ Perception on Block Scheduling: Advantages and Disadvantages in Tertiary Education." International Journal of Research and Innovation in Social Science VIII, no. III (2024): 87–99. http://dx.doi.org/10.47772/ijriss.2024.803007.

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Block scheduling is a way of designing class schedules where fewer courses are offered for a shorter number of meetings yet increasing the number of class hours per day, thus still covers the required number of hours for a course. This study was conducted to determine the perception of professional course teachers and general education course teachers toward block scheduling. It employed comparative descriptive design considering 76 teachers at a tertiary school in Tangub City. These teachers were chosen using convenience sampling technique. A researcher-made survey questionnaire with seventee

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Saputra, Ade Chandra, and Agus Sehatman Saragih. "APLIKASI PENJADWALAN MATA KULIAH JURUSAN TEKNIK INFORMATIKA FAKULTAS TEKNIK UNIVERSITAS PALANGKA RAYA DENGAN ALGORITMA GENETIKA." Jurnal Teknologi Informasi Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika 12, no. 2 (2018): 1–12. http://dx.doi.org/10.47111/jti.v12i2.527.

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Scheduling courses in informatics engineering is needed to arrange an optimalschedule so that there is no conflict when teaching courses. In this journal of informaticsengineering has a problem in making a schedule because of frequent clash of teachinghours and the room used.Based on the problem, then to solve the above problem is to use the geneticalgorithm method. The genetic algorithm method is used for scheduling optimization.The final result of this research is the website program of Scheduling Courses inthe Department of Informatics, Faculty of Engineering, Palangkaraya University, which

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P, Klaudius Nikotino, Magdalena Ineke Pakereng, and Ramos Somya. "Perancangan dan Implementasi Penjadwalan Mata Kuliah Menggunakan Algoritma Steepest Ascent Hill Climbing (Studi Kasus : Fakultas Psikologi UKSW)." d'CARTESIAN 2, no. 1 (2013): 11. http://dx.doi.org/10.35799/dc.2.1.2013.2121.

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Abstract Schedule of courses has been one of the most important part in a university’s teaching and learning activity. The large number of courses and lecturers that are involved, make some clashes on course’s schedule or class room’s schedule could happens frequently, so it requires an application to simplify the process of developing the course schedule. Steepest ascent hill climbing algorithm is an algorithm that generates all possible solutions, and then checks every solution to obtain optimum solution. The result of this research is this course scheduling system can facilitate courses sch

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Amrulloh, Arif, and Enny Itje Sela. "Course scheduling optimization using genetic algorithm and tabu search." Jurnal Teknologi dan Sistem Komputer 9, no. 3 (2021): 157–66. http://dx.doi.org/10.14710/jtsiskom.2021.14137.

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Scheduling courses in higher education often face problems, such as the clashes of teachers' schedules, rooms, and students' schedules. This study proposes course scheduling optimization using genetic algorithms and taboo search. The genetic algorithm produces the best generation of chromosomes composed of lecturer, day, and hour genes. The Tabu search method is used for the lecture rooms division. Scheduling is carried out for the Informatics faculty with four study programs, 65 lecturers, 93 courses, 265 lecturer assignments, and 65 classes. The process of generating 265 schedules took 561 s

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Lutfiyah, Dwi Setia. "IMPLEMENTASI SISTEM PENJADWALAN MATA KULIAH BERBASIS WEB." JURNAL ILMIAH INFORMATIKA 2, no. 1 (2017): 117–20. https://doi.org/10.5281/zenodo.1134746.

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<em>The process of scheduling the course is a routine activity beginning of the academic year at vocational college. General consideration in the preparation of the schedule is the request of the lecturer concerned can not teach at any given time. The absence of lecture schedules and examinations simultaneously between lecturers, class, space or lecture time. Therefore the scheduling application in arranging the course schedule is built to accommodate various aspects of the above considerations. This application is built based on the web using PHP programming language with MySql database by fo

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Noviasari, Indah, Andre Rusli, and Seng Hansun. "Penerapan Algoritma ACO untuk Penjadwalan Kuliah Pengganti pada Perguruan Tinggi (Studi Kasus: Program Studi Informatika, Universitas Multimedia Nusantara)." Ultima InfoSys 9, no. 2 (2019): 79–85. http://dx.doi.org/10.31937/si.v9i2.1062.

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Students and scheduling are both essential parts in a higher educational institution. However, after schedules are arranged and students has agreed to them, there are some occasions that can occur beyond the control of the university or lecturer which require the courses to be cancelled and arranged for replacement course schedules. At Universitas Multimedia Nusantara, an agreement between lecturers and students manually every time to establish a replacement course. The agreement consists of a replacement date and time that will be registered to the division of BAAK UMN which then enter the ne

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Rahadi, Andi Pujo, Angelica Marcelia Simbolon, and Ernest Beardly Pani. "APPLICATION OF GRAPH COLORING IN THE COURSE SCHEDULING." Abstract Proceedings International Scholars Conference 7, no. 1 (2019): 1399–410. http://dx.doi.org/10.35974/isc.v7i1.815.

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Introduction: Courses scheduling is a very important activity in the teaching and learning process in the Mathematics Education Department. The teaching and learning process is carried out by all students and lecturers so that the schedule of courses arranged must benefit the lecturers and students. If some of the provisions in schedule are not properly calculated, it will cause difficulty during the scheduling process. These provisions include courses held, number of classes available, amount of time available, number of students taking and availability of lecturers who teach. This study aims

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Shuai, Chun-jiang. "Design of Automatic Course Arrangement System for Electronic Engineering Teaching Based on Monte Carlo Genetic Algorithm." Security and Communication Networks 2021 (September 29, 2021): 1–11. http://dx.doi.org/10.1155/2021/3564722.

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In order to overcome the problems of convergence and low satisfaction in the traditional course scheduling system, a new Electronic Engineering Teaching Automatic Course Scheduling System based on the Monte Carlo genetic algorithm is proposed in this paper. The overall structure and hardware structure of the course scheduling system are designed. The hardware includes system management, course scheduling information input, course scheduling management, and course schedule query. In the software part, the Monte Carlo genetic algorithm is used to optimize the course scheduling optimization proce

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Setia, Lutfiyah Dwi. "IMPLEMENTASI SISTEM PENJADWALAN MATA KULIAH BERBASIS WEB." Jurnal Ilmiah Informatika 2, no. 1 (2017): 117–20. http://dx.doi.org/10.35316/jimi.v2i1.462.

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The process of scheduling the course is a routine activity beginning of the academic year at vocational college. General consideration in the preparation of the schedule is the request of the lecturer concerned can not teach at any given time. The absence of lecture schedules and examinations simultaneously between lecturers, class, space or lecture time. Therefore the scheduling application in arranging the course schedule is built to accommodate various aspects of the above considerations. This application is built based on the web using PHP programming language with MySql database by follow

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Kruesri, Supapich, Phatthawarin Thongkamton, Manisa Sudawan, and Rawin Youngnoi. "Planning a Timetable for Deciding to Registration in Course." Journal of Science Ladkrabang 34, no. 1 (2025): 128–47. https://doi.org/10.55003/scikmitl.2025.266381.

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The manual scheduling of university courses is a complex and challenging process due to the diverse registration requirements across academic programs. This research investigates the University Course Timetabling Problem (UCTP) by applying Integer Programming Problem (IP) models to construct mathematical formulations for solving optimization problems and managing intricate constraints. The primary objective is to propose a systematic course registration methodology and develop timetables that enable students to complete their academic programs in the shortest possible duration. The findings re

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Putro, Dwi Purnomo, Puput Eka Suryani, and Retno Wahyusari. "Application of a Combination of Genetic Algorithm (GA) and Bees Algorithm (BA) for Scheduling Practical Courses." JIIFKOM (Jurnal Ilmiah Informatika dan Komputer) 3, no. 2 (2024): 27–33. http://dx.doi.org/10.51901/jiifkom.v3i2.437.

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A perfect solution to the challenging issue of course scheduling is needed to prevent scheduling conflicts and guarantee a fair allocation of courses. The effectiveness of genetic algorithms (GA) and genetic algorithms combined with bee algorithms (GA+BA) for automatic course scheduling is compared in this study. this research also investigates the enhancement of performance by the use of the Bee Algorithm, a recognized expert in exploration and exploitation techniques. According to experimental data, when compared to GA alone, GA+BA consistently yields greater fitness values but the computati

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Lu, Rong Hua, and Hai Ying Liu. "Design and Implementation of University Computer Laboratories Course Scheduling System Based on WEB." Advanced Materials Research 998-999 (July 2014): 1108–12. http://dx.doi.org/10.4028/www.scientific.net/amr.998-999.1108.

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Course scheduling is the permutations and combinations of teachers and students in terms of time and space according to different constraints so as to make teaching proceed normally. The course scheduling of laboratories is similar to but not the same as the course scheduling of normal classrooms. This paper completes the system of course scheduling in computer laboratories with reference to the course scheduling algorithm and implementation of theory teaching. The system is running well.

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Grm Iyes, Muh Nurtanzis Sutoyo, and Andi Tenri Sumpala Mangkona. "Schedule Implementing the Modified Euclidean Distance Method in the Course Planning of the USN Kolaka Information Systems Curriculum." IT Journal Research and Development 7, no. 1 (2022): 12–22. http://dx.doi.org/10.25299/itjrd.2022.7976.

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Scheduling is needed to anticipate the clash of lecture hours for lecturers in teaching. Some things that need to be considered when arranging a lecture schedule are lecturers, rooms, courses, hours, and days. In this study, the scheduling system uses the Euclidean Distance method by modifying the algorithm. The aim of this study is to prove the Euclidean distance method in the course planning system in universities. In general, to obtain data that will be used in the scheduling system, observations, interviews and bibliographic studies are carried out. From the research results, the lecture s

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Ram, Balasubramanian, Muhammed Al-Rumaih, and Sanjiv Sarin. "A Decision Support System for Course Scheduling." Journal of Educational Technology Systems 15, no. 2 (1986): 149–58. http://dx.doi.org/10.2190/87ke-df3h-j25h-eav0.

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This article describes a decision support system (DSS) for planning course offerings in an academic department. The system involves selection of courses, assignment of instructors to courses, and scheduling of courses. The DSS has been implemented and is currently in use.

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Huda, Nisrina Nafi’atul, I. Gusti Bagus Budi Dharma, and Widya Wasityastuti. "Aplikasi Metode Sequential Three-Stage Integer Goal Programming untuk Penjadwalan Kuliah." Jurnal Pendidikan Kedokteran Indonesia: The Indonesian Journal of Medical Education 5, no. 1 (2016): 29. http://dx.doi.org/10.22146/jpki.25309.

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Background: One of scheduling problems in educational sector currently was the course scheduling in college or well known as University Course Timetabling Problem (UCTP). The UCTP was comprehensive because of the policy difference among the university, faculties, and departments. The Faculty of Medicine Universitas Gadjah Mada, which organizes a block system has a different and more complex scheduling type than other faculties with non-block system. The porpose of this research was to build a mathematic model of block system UCTP in Faculty of Medicine Universitas Gadjah Mada to optimize the s

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Ulum, Pateh, and Desti Fitriani. "IMPLEMENTATION OF GENETIC ALGORITHM IN THE CURRENT SCHEDULING SYSTEM." Jurnal Riset Informatika 3, no. 2 (2021): 119–26. http://dx.doi.org/10.34288/jri.v3i2.167.

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Scheduling courses is a routine job in academic activities at a college. In its implementation, the scheduling process is not easy to do because many factors need to be considered, several factors that are considered, such as the willingness of lecturers to teach, the availability of classrooms. Besides that, it is also necessary to pay attention to the number of classes in each subject. Course scheduling is a combination of courses, days, time, lecture space, and consideration of lecturers' willingness to teach. To solve the course scheduling problem, a system that can handle the scheduling p

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Dills, Angela K., and Rey Hernández-Julián. "Course scheduling and academic performance." Economics of Education Review 27, no. 6 (2008): 646–54. http://dx.doi.org/10.1016/j.econedurev.2007.08.001.

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Ashari, Imam Ahmad, Much Aziz Muslim, and Alamsyah Alamsyah. "Comparison Performance of Genetic Algorithm and Ant Colony Optimization in Course Scheduling Optimizing." Scientific Journal of Informatics 3, no. 2 (2016): 149–58. http://dx.doi.org/10.15294/sji.v3i2.7911.

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Scheduling problems at the university is a complex type of scheduling problems. The scheduling process should be carried out at every turn of the semester's. The core of the problem of scheduling courses at the university is that the number of components that need to be considered in making the schedule, some of the components was made up of students, lecturers, time and a room with due regard to the limits and certain conditions so that no collision in the schedule such as mashed room, mashed lecturer and others. To resolve a scheduling problem most appropriate technique used is the technique

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Du, Dong Ju, and Hai Long Shao. "Design of the B/S Model-Based Automated Course Scheduling System of Universities." Advanced Materials Research 760-762 (September 2013): 1773–76. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.1773.

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In order to lift the restrictions of classrooms, teachers, classes and time on the course scheduling, the B/S network architecture and ASP.NET technology are taken as the development tools to introduce the design of the course scheduling system from the perspectives of course scheduling algorithm analysis, overall design and each function module for the purpose of implementing the intelligentized and humanized course scheduling process and perfecting the teaching management work.

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Lin, Hai. "A Course Scheduling Algorithm Based on Network Flow." Applied Mechanics and Materials 644-650 (September 2014): 2081–83. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.2081.

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Scheduling is generally believed to be a hard computational problem. People propose a lot of algorithms for solving this problem, most of which require exponential time. In this paper, we study a restricted form of scheduling problem, called the course scheduling problem. We show that this problem can be solved by reducing it to the network flow problem, which requires polynomial time to solve. Our proposed method is simple and efficient. It can scale up to real-world scheduling problems.

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Borotan, Nella Lestari, Yulifda Elin Yuspita, Firdaus Annas, and Gusnita Darmawati. "Application of Graph Colouring Algorithm in Course Scheduling Process." Knowbase : International Journal of Knowledge in Database 4, no. 1 (2024): 76–93. http://dx.doi.org/10.30983/knowbase.v4i1.8136.

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Scheduling is a crucial aspect in every occurrence, ensuring that all processes are orderly. Gema Nusantara Bukittinggi Health Vocational School currently utilizes Microsoft Excel for managing subject scheduling, which often leads to scheduling conflicts. The objective of this research is to develop a web-based subject scheduling system for Gema Nusantara Bukittinggi Health Vocational School. The outcome of this research is a web-based subject scheduling system that is valid, practical, and effective, thereby serving as a useful tool for subject scheduling. This research is classified as resea

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Amariesta, Tiara, Amelia Kusuma Wardani, Raisa Naura Adila, and Siti Rahmah Nurshiami. "Implementation of Back Tracking Algorithm in The Scheduling of Mathematics Study Program Faculty of MIPA Unsoed." Operations Research: International Conference Series 3, no. 3 (2022): 87–100. http://dx.doi.org/10.47194/orics.v3i3.129.

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The complicated case of scheduling courses at the Mathematics and Natural Sciences Faculty of Mathematics Study Program, Universitas Jenderal Soedirman, is a topic that is quite interesting to discuss and find a solution to using a mathematical method. In fact, manual course scheduling without a method is prone to scheduling errors such as class schedule clashes, clashes in the use of lecture rooms and so on, so a more efficient method of scheduling courses is needed. Scheduling lectures with the backtracking algorithm is a systematic and efficient method of scheduling lectures with influencin

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Sari, Rafika, Khairunnisa Fadhilla Ramdhania, and Rakhmat Purnomo. "Team-Teaching-Based Course Scheduling Using Genetic Algorithm." PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic 10, no. 1 (2022): 55–66. http://dx.doi.org/10.33558/piksel.v10i1.4416.

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Scheduling problems occur in various fields, e.g., education, health institutions, transportation, sports, etc. Main scheduling problems in education is course scheduling which creates schedules for students and lecturers. In this study, course scheduling allocates the lecturers in the form of team teaching and courses into the class and a certain time to even out the workload of lecturers per day and a group of students per day in one week without breaking the constraint. The method used in this research is a genetic algorithm where Universitas Bhayangkara Jakarta Raya as the case study. The

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Han, Xu, and Dian Wang. "Gradual Optimization of University Course Scheduling Problem Using Genetic Algorithm and Dynamic Programming." Algorithms 18, no. 3 (2025): 158. https://doi.org/10.3390/a18030158.

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The university course scheduling problem (UCSP) is a challenging combinatorial optimization problem that requires optimization of the quality of the schedule and resource utilization while meeting multiple constraints involving courses, teachers, students, and classrooms. Although various algorithms have been applied to solve the UCSP, most of the existing methods are limited to scheduling independent courses, neglecting the impact of joint courses on the overall scheduling results. To address this limitation, this paper proposed an innovative mixed-integer linear programming model capable of

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Trisanto, Dedy, and Muhamad Agus. "Optimasi Sistem Informasi Penjadwalan Kuliah Berbasis Heuristic Search yang Dikombinasikan dengan Teknik Smart Back Tracking dan Look Ahead (Studi Kasus pada STMI –Kementerian Perindustrian)." Jurnal Teknik Mesin 9, no. 1 (2012): 53–60. http://dx.doi.org/10.30630/jtm.9.1.23.

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Scheduling lecture is scheduled number of components consisting of courses, lecturer, students, classrooms, and time with a number of restrictions and requirements (constraints) certain to get optimal results and the best. In this paper will be discussed and created scheduling lecture with a problem-solving approach to the science of Artificial Intelligence (Artificial Intelligence), by using an approximation of the mathematical problem that is aiming to find a situation or object that meets a number of requirements or specific criteria (Constraint Satisfaction Problem) to get the optimal sche

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Puspitasari, Fani, and Parwadi Moengin. "Penerapan Metode Hybrid Genetic Algorithm (GA) dan Pattern Search (PS) untuk Penjadwalan Mata Kuliah Universitas." Jurnal Rekayasa Sistem Industri 9, no. 3 (2020): 201–12. http://dx.doi.org/10.26593/jrsi.v9i3.4093.201-212.

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The problem of university course scheduling is a complicated job to do because of the many constraints that must be considered, such as the number of courses, the number of rooms available, the number of students, lecturer preferences, and time slots. The more courses that will be scheduled, the scheduling problem becomes more complex to solve. Therefore, it is necessary to set an automatic course schedule based on optimization method. The aim of this research is to gain an optimal solution in the form of schedule in order to decrease the number of clashed courses, optimize room utilization an

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Sherali, Hanif D., and Patrick J. Driscoll. "Course Scheduling and Timetabling at USMA." Military Operations Research 4, no. 2 (1999): 25–43. http://dx.doi.org/10.5711/morj.4.2.25.

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Huang, Minchuan, Hsianglin Huang, Iping Chen, Ke Chen, and Aiguo Wang. "Artificial Intelligence Aided Course Scheduling System." Journal of Physics: Conference Series 1792, no. 1 (2021): 012063. http://dx.doi.org/10.1088/1742-6596/1792/1/012063.

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Duan, Yanbei, and Wenjie Lu. "Automatic Course Scheduling System in Universities Based on Hybrid Genetic-Ant Colony Algorithm." Journal of Physics: Conference Series 2066, no. 1 (2021): 012079. http://dx.doi.org/10.1088/1742-6596/2066/1/012079.

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Abstract Scheduling is the daily work of the Ministry of Education in Colleges and universities. In the past ten years, the scale of our colleges and universities has expanded rapidly, but the teaching resources are relatively limited. Many schools are facing the problem of insufficient classroom resources and teachers resources. The current way of organizing courses is increasingly difficult to make full use of existing resources to solve the changing needs and inefficiencies, which need to be improved urgently. This paper applies the hybrid Genetic-Ant algorithm to the automatic course sched

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Kiyohara, Mitsuka. "High School Course Scheduling: Student Preferences and Fairness Constraints (Student Abstract)." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 28 (2025): 29399–400. https://doi.org/10.1609/aaai.v39i28.35265.

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Increasing student populations and diverse course offerings have led to perceived inequities in U.S. high school course scheduling. Traditional integer programming (IP) methods for the High School Scheduling Problem (HSSP) fail to address these fairness concerns. This research introduces the Fair High School Scheduling Problem (FHSSP), an extension of the HSSP that incorporates student preferences and fairness principles from market design. We develop an IP model to generate course schedules that are both feasible and equitable. Tested on real course request data from a California high school,

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Chen, Xiangliu, Xiao-Guang Yue, Rita Yi Man Li, Ainur Zhumadillayeva, and Ruru Liu. "Design and Application of an Improved Genetic Algorithm to a Class Scheduling System." International Journal of Emerging Technologies in Learning (iJET) 16, no. 01 (2021): 44. http://dx.doi.org/10.3991/ijet.v16i01.18225.

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The current expansion of national colleges and universities or the increase in the number of enrolments requires teaching management to ensure the quality of teaching. The problem of scheduling is a very complicated prob-lem in teaching management, and there are many restrictions. If the number of courses scheduled is large, it will be necessary to repeat the experiment and make adjustments. This kind of work is difficult to accomplish accu-rately by manpower. Moreover, for a comprehensive university, there are many subjects, many professional settings, limited classroom resources, limited mul

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Rohmawati, Ririn Mufidatur, M. Ivan Ariful Fathoni, and Ismanto Ismanto. "Penerapan Algoritma Welch-Powell Pada Penyusunan Jadwal Perkuliahan di Program Studi Pendidikan Matematika." Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi 10, no. 2 (2022): 200–210. http://dx.doi.org/10.34312/euler.v10i2.16649.

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Graph theory can be applied in course scheduling. The problem discussed in this study is scheduling courses in the UNUGIRI Mathematics Education Study Program using graph coloring. The purpose of this study is to prevent the occurrence of overlap (cross-over) in the preparation of courses. Good scheduling is a schedule that can be carried out by all related parties in teaching and learning activities. The algorithm used in this study is the Welch-Powell algorithm. The research was conducted using an axiomatic deductive method by deriving existing axioms or theorems, then applied to vertex colo

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Jamal, Ade. "University Course Scheduling using the Evolutionary Algorithm." JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI 1, no. 1 (2011): 7. http://dx.doi.org/10.36722/sst.v1i1.12.

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Course scheduling problem is hard and time-consuming to solve which is commonly faced by academic administrator at least two times every year. This problem can be solved using search and optimization technique with many constraints. This problem has been well studied in the past, and still becomes favorite subject for researchers. We will briefly discuss the convergence difficulty in our initial work on this subject using a modified hill-climbing search technique[8]. In this paper, an evolutionary algorithm is applied to solve the course scheduling problem and studying mutation techniques invo

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Elianti, Ni Made Dewik, Dwi Putra Githa, and A. A. Ngurah Hary Susila. "Android-Based Driving Course Information System." Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) 10, no. 1 (2021): 24. http://dx.doi.org/10.24843/jim.2022.v10.i01.p03.

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In the current era, technology development is required in society and has been used worldwide. Technology also has an important role in a company. Driving Courses Company is one of the companies that can compete in technology as it offers services to its customers. Many Driving Course companies do the business process conventionally and have no particular strategy for dealing with customers. The research method was conducted by collecting the data through direct interviews with informants, observing and analyzing related articles or journals. This study aimed to design and develop an Android-b

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Lingga, Sri Wahyuni, Sutarman Sutarman, and Open Darnius. "Modelling of Subject Scheduling Systems Using Hybrid Artificial Bee Colony Algorithm." Sinkron 7, no. 3 (2023): 1599–608. http://dx.doi.org/10.33395/sinkron.v7i3.12560.

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A common schedule problem found in colleges is the positioning of courses in a certain space and time. This placement process often encounters barriers that must be met so that there is no imbalance in the school schedule. One of the problems that often arise is the placement of class capacity that does not match the course requirements. In this study, the researchers used the Artificial Bee Colony Hybrid Algorithm (HABC) to construct course schedules efficiently at the college. The objective of the research was to develop a course scheduling system using the HABC algorithm by combining the En

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Xu, Jing. "Improved Genetic Algorithm to Solve the Scheduling Problem of College English Courses." Complexity 2021 (June 10, 2021): 1–11. http://dx.doi.org/10.1155/2021/7252719.

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In this paper, an improved genetic algorithm is designed to solve the above multiobjective optimization problem for the scheduling problem of college English courses. Firstly, a variable-length decimal coding scheme satisfying the same course that can be scheduled at different times, different classrooms, and different teaching weeks per week is proposed, which fully considers the flexibility of classrooms and time arrangements of the course and makes the scheduling problem more reasonable. Secondly, a problem-specific local search operator is designed to accelerate the convergence speed of th

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Ardana, Nandika Bayu, Widi Hastomo, and Shevti Arbekti Arman. "Development of Adaptive Lecture Scheduling System using Genetic Algorithm Case Study: Ahmad Dahlan Institute of Technology and Business." Journal of Computer Science Advancements 2, no. 4 (2024): 200–212. http://dx.doi.org/10.70177/jsca.v2i4.1310.

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Optimal course scheduling is a crucial aspect in supporting the efficiency of the teaching and learning process in higher education. In many institutions, lecture scheduling is still done manually or with static methods that are not adaptive to changing needs and limited resources. This research aims to develop an adaptive lecture scheduling system using genetic algorithms, with a case study at ITB Ahmad Dahlan. Genetic algorithms were chosen because of their ability to solve complex optimization problems with high efficiency, such as managing dynamic variables such as lecturer availability, r

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Boru, Meiton. "An." Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan 7, no. 2 (2020): 136–44. http://dx.doi.org/10.34010/telekontran.v7i2.2632.

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The purpose of this study is to optimize the the lecturing schedule using the Ant Colony Optimization (ACO) algorithm. The method developed will find an optimal solution of lecturing schedule where there are some limitations that must be considered. These limitations include being a lecturer or a class that can only be scheduled to lecture a maximum of two times in a row. Another limitation is that two adjacent level may not be scheduled at the same time, because there is a possibility that students will repeat a lecture. The third limitation is that there should be no lecturers or classes tha

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Wicaksono, Freddy, and Bayu Permana Putra. "Course Scheduling Information System Using Genetic Algorithms." ITEJ (Information Technology Engineering Journals) 6, no. 1 (2021): 35–45. http://dx.doi.org/10.24235/itej.v6i1.55.

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University X is a private university which has 8 faculties, namely Economics, Engineering, Social Sciences, Faculty of Social and Political Sciences, Fikes, Law, Islam and Vocational Studies. One of the leading study programs at the University X is the Informatics Engineering Study Program at the Faculty of Engineering which is currently experiencing problems when the process of dividing space and hour schedules is still manual.The problems that arise include the accumulation of lecture hours for a lecturer who takes more than one course. Another problem is the disruption of the lecture proces

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Altunay, Hakan, and Tamer Eren. "A literature review for course scheduling problem." Pamukkale University Journal of Engineering Sciences 23, no. 1 (2017): 55–70. http://dx.doi.org/10.5505/pajes.2016.37233.

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Strichman, Ofer. "Near-Optimal Course Scheduling at the Technion." Interfaces 47, no. 6 (2017): 537–54. http://dx.doi.org/10.1287/inte.2017.0920.

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Stallaert, Jan. "Automated Timetabling Improves Course Scheduling at UCLA." Interfaces 27, no. 4 (1997): 67–81. http://dx.doi.org/10.1287/inte.27.4.67.

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GUNASENA, UDAYA, SOUNDAR R. T. KUMARA, and ALLEN L. SOYSTER. "A KNOWLEDGE-BASED SYSTEM FOR COURSE SCHEDULING." Applied Artificial Intelligence 3, no. 4 (1989): 463–82. http://dx.doi.org/10.1080/08839518908949938.

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Mihali, Raul, Tarek Sobh, and Damir Vamoser. "SKED: A course scheduling and advising software." Computer Applications in Engineering Education 12, no. 1 (2004): 1–19. http://dx.doi.org/10.1002/cae.10054.

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Barnhart, Cynthia, Dimitris Bertsimas, Arthur Delarue, and Julia Yan. "Course Scheduling Under Sudden Scarcity: Applications to Pandemic Planning." Manufacturing & Service Operations Management 24, no. 2 (2022): 727–45. http://dx.doi.org/10.1287/msom.2021.0996.

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Problem definition: Physical distancing requirements during the COVID-19 pandemic have dramatically reduced the effective capacity of university campuses. Under these conditions, we examine how to make the most of newly scarce resources in the related problems of curriculum planning and course timetabling. Academic/practical relevance: We propose a unified model for university course scheduling problems under a two-stage framework and draw parallels between component problems while showing how to accommodate individual specifics. During the pandemic, our models were critical to measuring the i

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Skrinarova, Jarmila, and Adam Dudas. "A methodology for the professional training of the management and evaluation of HPC systems." Open Computer Science 8, no. 1 (2018): 68–79. http://dx.doi.org/10.1515/comp-2018-0008.

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Abstract The paper is motivated by critical demand for experts and scientists working in areas of mathematical modeling, simulations, big data techniques and who are familiar with management of HPC systems from user and administrator point of view. We created a new course entitled “HPC system management”. Our goal is focused on students to provide them with knowledge and understanding of complex problem of the HPC system management concerning job scheduling. Important fact is that the job scheduling problem is an NP-complete problem. Next objective of our course is to educate skilled experts,

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Wen-jing, Wang. "Improved Adaptive Genetic Algorithm for Course Scheduling in Colleges and Universities." International Journal of Emerging Technologies in Learning (iJET) 13, no. 06 (2018): 29. http://dx.doi.org/10.3991/ijet.v13i06.8442.

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Traditional artificial intelligence and computer-aided course scheduling schemes can no longer meet the increasing demands caused by the informatization of teaching management in colleges and universities. To address this problem, this study designed an improved adaptive genetic algorithm that is based on hard and soft constraints for course scheduling. First, the mathematical model of the genetic algorithm was established. The combination of time, teacher, and course number was regarded as the gene coding. The weekly course schedule of each class was a chromosome, and the course schedule of t

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Nugroho, Arief Kelik, Ipung Permadi, and Ana Romadhona Yasifa. "OPTIMIZING COURSE SCHEDULING FACULTY OF ENGINEERING UNSOED USING GENETIC ALGORITHMS." JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) 7, no. 2 (2022): 91–98. http://dx.doi.org/10.33480/jitk.v7i2.2262.

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In carrying out an activity regularly and smoothly, it is necessary to make an activity schedule that can manage the time of one activity with another so that unwanted things do not happen such as the same time, the same place, and others. Making a schedule of activities is quite easy to do if there are not too many entities involved and if the entities are not tied to each other, but for larger cases, creating a schedule of activities manually will take quite a lot of time and can result in errors in the schedule or shortages. effectiveness in the resulting schedule. This is commonly experien

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Carrington, Linda G. "The Impact Of Course Scheduling On Student Success In Intermediate Accounting." American Journal of Business Education (AJBE) 3, no. 4 (2010): 51–60. http://dx.doi.org/10.19030/ajbe.v3i4.413.

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Cognitive psychology research, as well as educational psychology research, suggests that learning is enhanced when new subjects are presented in spaced-out sessions rather than compressed into fewer, longer sessions (the “spacing effect”). This would suggest that students should learn better when taking courses that are scheduled over longer time periods (two or three days per week over a long semester) rather than in an intensive (one day per week) or compressed (summer session) format. This research investigates whether the spacing effect exists for students in Intermediate Accounting classe

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