270,078 research outputs found

    Optimizing a Law School’s Course Schedule

    Get PDF
    [Excerpt] “Just like other educational institutions, law schools must schedule courses by taking into consideration student needs, faculty resources, and logistical support such as classroom size and equipment needs. Course scheduling is an administrative function, typically handled by an Assistant Dean or an Associate Dean, who works with the faculty and the registrar to balance these considerations in advance of the registration process. Usually, the entire academic year is scheduled in advance, although the spring semester may be labeled tentative until registration begins for that semester. It’s hard to imagine, but some schools even publish a two-year schedule of upper-division courses so that students can plan their entire law school career in advance. In order to give assistance to those academics involved for the first time in the scheduling process, this article discusses the law school scheduling process and how a scheduling software package has worked to successfully automate what has been seen as one of the most abysmal administrative tasks of an Associate Dean. We first provide a background to course scheduling at a typical law school. We then present a review of the tools for, and literature on, course scheduling, followed by a discussion of how technology can be applied to course scheduling in general, and our outcomes of applying this technology in a law school environment. We close with a brief summary.

    A Study to Evaluate the Effectiveness of Block Scheduling to Determine What Form of Block Scheduling should be Adopted by Lake Taylor High School, Norfolk, Virginia

    Get PDF
    The goals of this study were to answer the following questions: 1. Does a change to block scheduling provide more academic options for students? 2. Does a change to block scheduling provide for greater academic success? 3. Does a change to block scheduling reduce disciplinary and attendance problems? 4. Does a change to block scheduling increase non-lecture teaching strategies

    Effects of Block Scheduling vs Traditional Period Scheduling on the Academic Achievement of Middle School Students

    Get PDF
    The way school is structured plays a major role in the academic achievement of middle school students. Scheduling systems like block scheduling and traditional period scheduling have played major roles on how students throughout the world are making the transition from elementary school to high school. While the academic achievement of middle school students is based on a collection of things, this senior capstone research project will explore how block scheduling vs traditional period scheduling affect the academic achievement of middle school students. The purpose of this project is to see the answer to the best scheduling system for middle schools based on the perceptions of students, teachers, and administrators along with some recommendations as on how to best accommodate middle school students to maximize their learning

    Schedule NU! Schedule SC!

    Get PDF
    Schedule NU! Schedule SC! Lancaster V-VI Cheri Polenske (NU ITS), Jean Padrnos (NU ITS), Corrie Svehla (NU ITS - UNL) One of the goals of OneIT is to maximize the purchasing power by consolidating contracts and utilizing common systems. UNK, UNL and UNO utilized a product called EMS for event scheduling. CSC, UNL and UNO used R25/S25 for academic scheduling. The University was able to license the EMS scheduling solution for all of the Universities and State Colleges for both academic scheduling/optimization and event scheduling in one contract. The implementation of the shared EMS system is underway and will go-live mid to late 2018. Choose this presentation because: You are interested in learning more about EMS for event scheduling. You wish to hear more about the collaborative effort of implementing a system-wide event and academic scheduling tool. You wish to see the tool live

    PENGEMBANGAN APLIKASI PENJADWALAN MATA KULIAH DENGAN MENGGUNAKAN ALGORITMA CONSTRAINT SATISFACTION

    Get PDF
    Scheduling is one of academic institution administration problems. Making an academic schedule might not difficult but it will consume much time. The schedule maker is also ought to redoing the same procedure at least for every semester. As a result, scientists have discovered some methods to automate and make the scheduling process simpler, one of them is constraint satisfaction method. Considering the ability of constraint satisfaction problem to solve scheduling problem, this research try to develop scheduling application with constraint satisfaction method under the object oriented paradigm. This application can be used for simplifying the scheduling process

    Optimize class time tabling by using genetic algorithm technique in UTHM

    Get PDF
    Timetable scheduling in academic institutions is a major challenge for the institutions, especially with a large number of students and courses offered. This becomes more challenging when classrooms are limited and needs to consider the meeting time of students with the lecturers. These academic institutions such as schools, colleges and universities need timetables to make sure that the students have enough time for each subject in a week without clashing with other subjects or other classes. There are elements that need to be considered in order to make a timetable. These elements include students, teachers or lecturers, rooms, period and also the subjects involved. A new branch of university which is Universiti Tun Hussein Onn Malaysia (UTHM) Pagoh will also have a problem to schedule timetables. Since the branch is new, therefore the problem of lacking in facilities, the number of classrooms and the number of students or classes will arise. In order to schedule timetables, reshuffling and arranging classrooms need to be done and may lead to the complexity of classrooms scheduling. In existing research, many problems involving scheduling have been solved by using genetic algorithm method. There are many other methods that were also being used such as linear programming, integer linear programming, tabu search, ant colony optimization (ACO) algorithm and goal programming. This research is about optimization problem and it proposes a heuristic approach for timetabling optimization, in order to improve and enhance the efficiency of classroom planning. A new algorithm was produced to handle the timetabling problem in the university. This research used genetic algorithm (GA) that was applied to java programming languages with a goal of reducing conflict and optimizing the fitness. Therefore, the general problem was being solved and the best solutions were obtained with lower number of conflicts and maximum fitness value. The timetables for the FAST firstyear students from the Mathematics Department and Statistics Department were also being solved with less conflict and maximum fitness value. A further analysis was done and the results provided the best solutions as well. This research gives an idea about timetable scheduling and also about the optimization method of GA. This research can also become a reference for other timetable scheduling

    Power adjustment and scheduling in OFDMA femtocell networks

    Get PDF
    Densely-deployed femtocell networks are used to enhance wireless coverage in public spaces like office buildings, subways, and academic buildings. These networks can increase throughput for users, but edge users can suffer from co-channel interference, leading to service outages. This paper introduces a distributed algorithm for network configuration, called Radius Reduction and Scheduling (RRS), to improve the performance and fairness of the network. RRS determines cell sizes using a Voronoi-Laguerre framework, then schedules users using a scheduling algorithm that includes vacancy requests to increase fairness in dense femtocell networks. We prove that our algorithm always terminate in a finite time, producing a configuration that guarantees user or area coverage. Simulation results show a decrease in outage probability of up to 50%, as well as an increase in Jain's fairness index of almost 200%
    • …
    corecore