Using integer linear programming for university class scheduling in the College of Science in De La Salle University

Clicks: 3
ID: 286850
2023
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #3,654 of 3,757 articles by views in Malay Journal

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 3,757 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
In all academic institutions, an efficient class scheduling system is imperative to ensure a smooth experience for the students and faculty. A well-structured class schedule can positively impact learning progress and maximize the effectiveness of school resources, such as the availability of time, number of professors, availability of courses, and space. In order to solve this dilemma, the researchers will introduce an Integer Linear Programming (ILP) model they formulated to aid the organization of school resources by imposing constraints such as class schedules, professor availability, and room readiness. These constraints ensure the efficient utilization of available school resources that accommodate student or faculty preferences and meet the necessary academic requirements while avoiding conflict or overlap. In line with this, the working model will perform a real-life application utilizing the data gathered from De La Salle University (DLSU) College of Science (COS) and student choices. The model aims to create a smoother flow for the enrollment process and can be replicated to maximize the utilization of school resources.
Reference Key
persistent_1760659852_68f1898c54938 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors DeLos Reyes, Ma. Teresa Angelica M.
Journal Malay Journal
Year 2023
DOI
DOI not found
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.