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CHAPTER ONE
1.0
INTRODUCTION
The academic environment has gone so
complex that an automated system may be required to automate certain aspects of
the academic system. One such area of difficulty is timetable scheduling; those
saddled with the responsibility of time table creation are always faced with
challenges of creating effective system that will deliver its purpose.
Automation has been seen as a way of
enhancing Manual activities. For instance, Manual operations are characterized
with some setbacks such as erroneous computation etc. with automation, those
setbacks are either eliminated or reduced to barest minimal. To this effect
application are being created to hide the manual operations and project
automation.
The general task of solving timetable
scheduling problems is iterative and time consuming. In real world application,
the participants to the timetable scheduling have conflicting preferences which
make the search for an optimal solution a problem. In order to solve the
problem it is necessary to find a compromise between all the parties involved
in the requirement, usually conflicting (e.g. day, time). The constraints are
related to the availability, timetabling and preference of each of the
instructor, to rooms availability, number of student and curricula. In order to
solve this problem for the particular case of university system, timetable
scheduling has to adopt the computer-base approach. Computer-base approach
enables the institution to automate certain manual task and work efficiently.
Also, in the particular case of timetable scheduling, the automated system
could find an optimal or a sub-optimal solution using mainly inter agent
communication.
1.1 PROBLEM DEFINITION
The scheduling problem can be defined
as a problem of finding the optimal sequence for evaluating a finite set of operation
(task or job) under a certain set of constrains that must be satisfied . A
typical example of scheduling problem is timetable scheduling. The problems to
be solved by timetable scheduling are mapped out below.
1)
Maximize individual in timetable scheduling or other
resources.
2)
Minimize time required to complete the entire process
for timetable scheduling.
3)
Production of timetable and of conflict interest,
place, etc.
All these problems and more are to be
solved so that the proposal solution for timetable scheduling will be an
enchantment over the manual.
1.1
AIM AND OBJECTIVES.
In solving problems of timetable
scheduling, there is need for an effective and efficient techniques or methods.
The only method proven to be
effective and effective is the computer-based approach. The approach that
automates all the manual concepts of timetable scheduling thereby eliminate all
the problems associated with the manual technique.
To this end, this project work is
designed to introduce computer bases approach to the manual method of timetable
scheduling.
1.3 SCOPE OF THE STUDY.
Timetable scheduling is a complex and
time consuming process. Generating timetable for all levels in a university
system will definitely take a lot time. For the purpose of this work, time able
creation will be based on degree programme only with focus on 100 and 200 level
courses, this will be an effective way to start the process of time table
creation.
Also, the work will be made to run on
the internet backbone this will make the application distributed and network
based.
1.4 LIMITATION OF THE STUDY
The proposed development is a time
consuming process to this end the project will be streamline to 100 and
200-degree programme due to time limitation.
Another problem is the inadequate
research materials on the subject of timetable scheduling and creation. This
project work made use of the little available materials.
1.5 ORGANIZATION OF THE WORK
The project work is organized into
chapter for the purpose of clarity. The remaining part of this work is organized
thus: chapter two discusses the review
of relevant literature on timetable on timetable scheduling and optimization.
Chapter three focuses on the design
of the processes are discussed on this chapter.
Chapter four discusses the
implementation of the developed system. Chapter five concludes the work with
conclusion and recommendation
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