Full Project – Design and implementation of a web-based timetable scheduling system for a tertiary institution
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CHAPTER ONE
- INTRODUCTION
This project examines the general and well-established research into the timetable scheduling problem. The very real need to optimize timetable construction from a practical perspective has driven and provided funding for an extensive research activity resulting in a very well developed and ongoing research literature. The work contained in this project not only summarizes the voluminous literature but also contributes through analysis as well as providing a benchmark for the objective comparison of future research in this area. This chapter begins with a discussion of the concepts, terminology and general research direction in the broad area of scheduling. In particular, the usage and classification of the general timetable problem are highlighted. General trends in this timetable literature are presented and discussed.
- BACKGROUND OF STUDY
In a school like ———, the need for an automated method of departmental lecture timetable software has been a need. So many of them have been tried to develop and even sold worldwide to solve this problem. I have analyzed this software and discovered that very many of them are inefficient. Students as well have researched and developed their own software but they could not give or develop error-free software that will assist in result generation, automated course registration to keep or build a database of lecture timetable in the school that will facilitate students’ lectures and practical.
ORGANIZATIONAL STRUCTURE
Fig. 1.1 Organization Structure
1.2 STATEMENT OF THE PROBLEM
The systems available currently can build or generate a set of timetables, but still, have issues with generating a clash-free and complete timetable.
The tedious task of data introduction and revision of usually incomplete solutions are the bottleneck in these cases (Luisa et al, 2006). Most educational institutions have resorted to the manual generation of their timetables which according to statistics takes over a month to get completed and optimal.
Even at the optimal stage of the manually generated timetable, there are still a few clashes and it is the lecturer that takes a clashing course that works out the logistics of the course so as to avoid the clash.
1.3 OBJECTIVES OF THE STUDY
The aim of this work is the generation of course schedules while demonstrating the possibility of building the schedules automatically through the use of computers in such a way they are optimal and complete with little or no redundancy through the development of a viable lecture and practical in timetabling software.
The primary objectives are to be able to optimize the algorithm used in today’s timetable systems to generate the best of timetabling data with fewer or no clashes.
The secondary objectives are to expand the scope of timetable automation systems by making it generic thereby bringing about uniformity in the creation of timetables as it applies to different universities, polytechnics or educational institutions i.e will be able to generate timetables that fit the requirement of any academic institution.
1.4 SCOPE OF THE STUDY
The scope of this study is to look into the timetabling system of our institution (———–), computer science department being our case study and make proper changes where necessary. The study, however, will not cover anything more than that which has to do with the timetabling system.
1.5 SIGNIFICANCE OF THE STUDY
Outlined below is the significance of the proposed system and the improvements on existing systems that are featured in this system:
- The proposed system will provide an attractive graphical front-end which acts as the main point of interaction with user and data collaborators.
- It will also improve flexibility in timetable construction
- The system will seek to improve on previous versions of timetable generating systems.
- Stress in creating timetable manually will be greatly reduced as output would be automated.
- Productivity will be improved.
- The system will save time.
- The system will be able to generate reports on conflicting constraints specifications.
1.6 LIMITATION OF THE STUDY
The study covered only the department of computer science due to some limitations of the researcher to extend the research to other departments within the School of Science and Industrial Technology (SSIT), let alone other schools in the Institution, the constraints are as follows:
- Finance: Fund or running around for the data required was in short supply and consequently hindered further research.
- Time Constraints: Due to the required completion, time of this research work, it was not possible to extend the research to other departments.
- Complexity: Meanwhile extending the research to all departments within institution would lead to completion and complication resulting in unavailability of research.
- Cost: Feasibility cost conducting the research in all schools departments provide that it is not feasible for a single student(the researcher) to bear students can continue work on this research in future until implementation.
Below are some of the limitations that may hinder the functionalities of the system:
- Unserious collaborative work from staffs in the various departments.
- Incomplete data from data collaborators.
- Wrong data input by the technical user: the system will only work with data supplied; hence wrong data input might have to be edited manually.
- Wrong constraints specification.
- Low system memory capacity.
1.7 DEFINITION OF TERMS
Timetable: a list showing the time at which a particular event will happen.
Schedule: a plan that lists all work that you have to do when you must do each of them.
Computerization: This is the process of using a computer system to carry out work which should have been done by man.
Resources: something that can be used to achieve an aim.
Courses: a series of lessons or lectures on a particular subject.
Algorithm: a set of rule that must be followed when solving a particular problem.
Information System: It is a collection of procedures, people instructions and equipment to produce information in a useful form.
Technology: It is a study of techniques or process of mobilizing resource (such as information) for accomplishing objectives that benefit man and his environment.
Information: Information can be defined as the process of gathering, transmitting, receiving, storing and retrieving data or several items put together to convey the desired message.
Computer Network: Computer Network is a system that connects two or more computers together using a communication link.
Databases: A systematically arranged collection of computer data, structured so that it can be automatically retrieved or manipulated. It is also called databank.
File Transfer: Any kind of computer file can be sent via the Internet from one Internet user to another. Table of accounts on spreadsheets, design by graphic artists, music sound files etc, can all be exchanged in this way.
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Full Project – Design and implementation of a web-based timetable scheduling system for a tertiary institution