Relevant bibliographies by topics / Course scheduling

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Course scheduling'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "Course scheduling"

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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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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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Dissertations / Theses on the topic "Course scheduling"

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Yeung, Vincent S. (Vincent Shu Hang). "Declarative configuration applied to course scheduling." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/37092.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.<br>Includes bibliographical references (p. 83-84).<br>This thesis describes a course scheduling system that models planning as a satisfiability problem in relational logic. Given a set of course requirements for a degree program, our system can find a schedule of courses that will complete these requirements. It supports a flexible XML format for expressing course requirements and also handles additional user-specific constraints, such as requirements that certain courses be tak
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Bellardo, Heather A. "PREFERENCE DRIVEN UNIVERSITY COURSE SCHEDULING SYSTEM." DigitalCommons@CalPoly, 2010. https://digitalcommons.calpoly.edu/theses/324.

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University course planning and scheduling is the process of determining what courses to offer, how many sections are needed, determining the best term to offer each section, assigning a faculty member to instruct each section, and scheduling each section to a timeslot to avoid conflicts. The result of this task has an impact on every student and faculty member in the department. The process is typically broken down into three major phases: course offering planning, faculty assignment to planned course sections, and course scheduling into timeslots. This thesis looks at each of these phases for
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Xiao, Lijian. "The Course Scheduling Problem with Room Considerations." Wright State University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=wright162186801109714.

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Puleva, Teodora. "CourseScheduler." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-12164.

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Course timetabling is a time consuming problem that arise every year in each university. This is a problem that deals with assigning a large number of courses to a limited number of rooms and timeslots  while satisfying a set of predefined constraints. Most of the existing timetabling systems can only be used at the university involved in the research, as each university has its own needs and requirements that differ specifically. MyCourses software tries to make a difference by allowing each university to configure which scheduling rules to use. It provides a way to schedule courses for a who
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Zibran, Minhaz Fahim, and University of Lethbridge Faculty of Arts and Science. "A multi-phase approach to university course timetabling." Thesis, Lethbridge, Alta. : University of Lethbridge, Faculty of Arts and Science, 2007, 2007. http://hdl.handle.net/10133/633.

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Course timetabling is a well known constraint satisfaction optimization (CSOP) problem, which needs to be solved in educational institutions regularly. Unfortunately, this course timetabling problem is known to be NP-complete [7, 39]. This M.Sc. thesis presents a multi-phase approach to solve the university level course timetabling problem. We decompose the problem into several sub-problems with reduced complexity, which are solved in separate phases. In phase-1a we assign lectures to professors, phase-1b assigns labs and tutorials to academic assistances and graduate assistants. Phase-2 assig
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Bukenberger, Jesse Paul. "A Set Union Based Formulation for Course Scheduling and Timetabling." DigitalCommons@CalPoly, 2014. https://digitalcommons.calpoly.edu/theses/1250.

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The Course Timetabling Problem is a widely studied optimization problem where a number of sections are scheduled in concert with the assignment of students to sections in order to maximize the desirability of the resulting schedule for all stakeholders. This problem is commonly solved as a linear program with variables for each student or group of students with identical schedules. In this paper we explore an alternative formulation that aggregates binary student variables into integer variables denoting the number of students enrolled in a course. Our solution method assumes decomposition of
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Sandh, David, and Lucas Knutsäter. "University Course Scheduling Optimization under Uncertainty based on a Probability Model." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20353.

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In this thesis, we present a way to model uncertainty when optimizing the UniversityTimetabling Problem. It is an NP-hard, combinatorial and highly constrained problem.In this thesis, we first propose a standardized model based on the data from MalmöUniversity. Then, we propose our extended model, which, during the creation of the solution, accounts for the probability of unexpected events to occur and changes the solution accordingly. To implement our model, we use a Particle Swarm Optimization (PSO) algorithm.In our experiments, we find problems with the algorithm converging too early.We ana
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Chapman, Dona Elizabeth. "A decision support system for the faculty/course assignment problem." Thesis, This resource online, 1985. http://scholar.lib.vt.edu/theses/available/etd-10022008-063148/.

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Mallory, Kelli D. Harrell Pamela Esprivalo. "Examining the effects of scheduled course time on mathematics achievement in high school students." [Denton, Tex.] : University of North Texas, 2007. http://digital.library.unt.edu/permalink/meta-dc-3644.

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MARTINS, Jean Paulo. "O Problema do agendamento semanal de aulas." Universidade Federal de Goiás, 2010. http://repositorio.bc.ufg.br/tede/handle/tde/502.

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Made available in DSpace on 2014-07-29T14:57:46Z (GMT). No. of bitstreams: 1 dissertacao_jean.pdf: 321149 bytes, checksum: 11c9f94be02284e8412d026b60b596d0 (MD5) Previous issue date: 2010-08-16<br>The Course Scheduling is a hard resolution problem, found in most of the learning institutions. Just like the others timetabling problems, the Course Scheduling have a strong associative characteristic, that means that its resolution is made of associations between events and resources. In the educational case, the lectures are events, while the teachers workload are resources. Techniques and meth
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Books on the topic "Course scheduling"

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Wickwire, Jon M. Construction scheduling and the law: Course manual. Federal Publications Inc., 1988.

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Inc, Federal Publications, ed. Construction scheduling and proof of claims: Course manual. Federal Publications, 1986.

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Barba, Evans M. CMP scheduling in program management & claims: Course manual. Federal Publications, 1989.

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Inc, Federal Publications, ed. CPM scheduling in program management & claims: Course manual. Federal Publications, 1986.

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APICS--The Educational Society for Resource Management., ed. Detailed scheduling and planning: Certification review course : participant guide. APICS, 2000.

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Hall, Marie L. Optimal scheduling of Army initial entry training courses. Naval Postgraduate School, 1999.

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Raine, John W. The CDE of scheduling in magistrates' courts. Copies from Home Office Library, 1992.

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VanUs, Mark D. Design and implementation of a decision support system to aid in the forecasting and scheduling of Administrative Sciences courses. Naval Postgraduate School, 1991.

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Block Scheduling Guide: Course 5. Glencoe / Mcgraw-Hill, 1999.

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Rinehart, and Winston Holt. Elements of Literature First Course: Block Scheduling. Holt, Rinehart and Winston, 1997.

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Book chapters on the topic "Course scheduling"

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Lewis, Rhydian, Ben Paechter, and Olivia Rossi-Doria. "Metaheuristics for University Course Timetabling." In Evolutionary Scheduling. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-48584-1_9.

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Junginger, Werner. "Course Scheduling by Genetic Algorithms." In Evolutionary Algorithms in Management Applications. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-61217-6_21.

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Bhoi, Sunil B., and Jayesh M. Dhodiya. "Multi-objective university course scheduling for uncertainly generated courses." In Neural Networks, Machine Learning, and Image Processing. CRC Press, 2022. http://dx.doi.org/10.1201/9781003303053-3.

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Plattner, Hasso. "Workload Management and Scheduling." In A Course in In-Memory Data Management. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36524-9_22.

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Plattner, Hasso. "Workload Management and Scheduling." In A Course in In-Memory Data Management. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-55270-0_22.

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Li, Teng, and Xuqing Li. "Study on Intelligent Course Scheduling System." In Ubiquitous Computing Application and Wireless Sensor. Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-9618-7_51.

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Werra, D. "Some combinatorial models for course scheduling." In Practice and Theory of Automated Timetabling. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/3-540-61794-9_67.

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Behrenk, Ali Berk, Simge Güçlükol Ergin, and Ayhan Özgür Toy. "Course Scheduling Problem and Real-Life Implementation." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-24457-5_59.

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Juretzka, Jan, and Andreas Drexl. "Semi-Greedy Heuristics for Academic Course Scheduling." In Operations Research Proceedings 1993. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-78910-6_164.

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Hori, Yukio, Takashi Nakayama, and Yoshiro Imai. "Automated Personal Course Scheduling Adaptive Spreading Activation Model." In Advances in Neural Networks – ISNN 2011. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21111-9_56.

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Conference papers on the topic "Course scheduling"

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Arief Hakim, Nurul Fahmi, Siscka Elvyanti, Didin Wahyudin, Iwan Kustiawan, and Naufal Nur Rafi. "Optimizing Course Scheduling Using Unitime Application for STEM Education." In 2024 9th International STEM Education Conference (iSTEM-Ed). IEEE, 2024. http://dx.doi.org/10.1109/istem-ed62750.2024.10663168.

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XIA, YEQIN, and princess policarpio. "Intelligent course scheduling method and its optimization based on multi-stage heuristic algorithm." In Fifth International Conference on Telecommunications, Optics, and Computer Science, edited by Witold Pedrycz and Sos S. Agaian. SPIE, 2025. https://doi.org/10.1117/12.3067362.

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Afdal Abdallah, M., Ary Mazharuddin Shiddiqi, Rizky Januar Akbar, and Anindihta Dewabharata. "An Enhanced Course Scheduling System Using the Genetic Algorithm with Matrix-Based Representation Genes." In 2024 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM). IEEE, 2024. https://doi.org/10.1109/cenim64038.2024.10882784.

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Liu, Shuchao. "Design of University Life Safety Education Course Scheduling System Based on Improved SFLA Algorithm." In 2024 8th Asian Conference on Artificial Intelligence Technology (ACAIT). IEEE, 2024. https://doi.org/10.1109/acait63902.2024.11022262.

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Xu, Wenfeng. "Simulation of the scheduling model for multi module progressive teaching resource database of cloud course." In 2024 International Conference on Informatics Education and Computer Technology Applications (IECA). IEEE, 2024. http://dx.doi.org/10.1109/ieca62822.2024.00008.

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Chen, Yuzhong, and Yue Zhong. "Digital course scheduling system for data-driven industrial worker training based on 5G enabling environment." In 2024 International Conference on Artificial Intelligence, Deep Learning and Neural Networks (AIDLNN). IEEE, 2024. https://doi.org/10.1109/aidlnn65358.2024.00033.

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Siirola, Jeffrey J. "Forces Shaping the Future of Design and Design Education." In Foundations of Computer-Aided Process Design. PSE Press, 2024. http://dx.doi.org/10.69997/sct.169353.

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All ABET-accredited engineering programs mandate a culminating major design experience based on knowledge and skills acquired in earlier course work and incorporating realistic appropriate engineering standards and multiple realistic constraints. Some chemical companies organize their Manufacturing Innovation Process into a sequence of stages which typically include Need Identification, Product Design, Basic and Detailed Chemistry, Process Design, Equipment Design, Plant Design, Detailed Engineering and Vendor Specifications, Component Acquisition, Plant Construction Planning and Execution, Op
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Primeaux, Dudley J., Joseph Haydu, and Jonathan Haydu. "Into the Future: Advanced Thick-Film Spray Applied Liquid Waterproofing Membrane Systems for Bridge Deck Applications." In SSPC 2015 Greencoat. SSPC, 2015. https://doi.org/10.5006/s2015-00048.

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Abstract It does not take one with too much intelligence to note that our infrastructure is in dire shape. Not only does this include our water &amp; wastewater areas, but our road and bridge systems need substantial help. Deterioration due to environmental issues, water and chemicals that are used which cause for serious corrosion and erosion concerns. Over the years, a variety of methods have been employed to help with these issues, but all have individual characteristics and problems. As populations have grown in centralized areas, so does the abuse on the roads, scheduling repairs and time
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Galbraith, J. M., and L. A. Disbrow. "Microcomputer Programs to Enhance Corrosion Control Efforts in the Prudhoe Bay, Alaska Oil Field." In CORROSION 1986. NACE International, 1986. https://doi.org/10.5006/c1986-86036.

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Abstract ARCo Alaska, Inc. has operated the eastern half of the Prudhoe Bay Oil Field since production began in 1977. Severe corrosion problems have been encountered due to the low wettability of the oil combined with the 12% CO2 and trace of H2S in the associated gas. A corrosion control program comprised of coupon and electric resistance probe monitoring, radiographic, ultrasonic and visual inspection and chemical inhibition has grown as the field has aged. The corrosion control costs in the ARCo-operated Eastern Operating Area (EOA) are estimated at over eleven million dollars in 1986, with
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Lewin, Daniel R. "Food for thought: Delicious problems for Process System Engineering (PSE) courses." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.119270.

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Active learning is widely recognized as an effective teaching approach that can improve classroom outcomes. This is enabled by providing the time for students to apply new knowledge, make mistakes, correct them, and repeat the process until mastery is achieved. One way to implement active learning is through the flipped classroom paradigm. However, to be effective, active learning depends on providing students with a variety of open-ended problems, ranging in difficulty from introductory to advanced levels. This paper presents four food-themed problems for use in numerical methods and process
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Reports on the topic "Course scheduling"

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Knighton, Shane A. A Value Focus Thinking Approach to the Academic Course Scheduling Problem. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada425493.

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Amela, R., R. Badia, S. Böhm, R. Tosi, C. Soriano, and R. Rossi. D4.2 Profiling report of the partner’s tools, complete with performance suggestions. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.2.023.

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This deliverable focuses on the proling activities developed in the project with the partner's applications. To perform this proling activities, a couple of benchmarks were dened in collaboration with WP5. The rst benchmark is an embarrassingly parallel benchmark that performs a read and then multiple writes of the same object, with the objective of stressing the memory and storage systems and evaluate the overhead when these reads and writes are performed in parallel. A second benchmark is dened based on the Continuation Multi Level Monte Carlo (C-MLMC) algorithm. While this algorithm is norm
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