ABSTRACT
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. This aim at
designing, developing and implementing automated departmental course allocation
and time table for Computer science department. 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 main objective is to
convert a manually operated system into automated system. Designing a system
that will be more interactive to students and lecturers, Provide an automatic
system that will reduce the work load of staff especially the HODs, the
research will also serve as a source of information to students, lecturers and
computer science researchers who would want to engage in such topic, the
Automation of Departmental course their credit Unit Allocation and departmental
time table, provide quicker and more efficient services (course allocation)
using automated system (computer). The adopted research methodology for this
project Automated Depa tniental Course Allocation and Time Table system is the
waterfall model. The waterfall model is a popular version of the systems
development life cycle model for software engineering
ONU, N (2021). Automated Departmental Course Allocation And Time Table For Computer Science. Mouau.afribary.org: Retrieved Nov 24, 2024, from https://repository.mouau.edu.ng/work/view/automated-departmental-course-allocation-and-time-table-for-computer-science-7-2
NNAMIM, ONU. "Automated Departmental Course Allocation And Time Table For Computer Science" Mouau.afribary.org. Mouau.afribary.org, 04 Nov. 2021, https://repository.mouau.edu.ng/work/view/automated-departmental-course-allocation-and-time-table-for-computer-science-7-2. Accessed 24 Nov. 2024.
NNAMIM, ONU. "Automated Departmental Course Allocation And Time Table For Computer Science". Mouau.afribary.org, Mouau.afribary.org, 04 Nov. 2021. Web. 24 Nov. 2024. < https://repository.mouau.edu.ng/work/view/automated-departmental-course-allocation-and-time-table-for-computer-science-7-2 >.
NNAMIM, ONU. "Automated Departmental Course Allocation And Time Table For Computer Science" Mouau.afribary.org (2021). Accessed 24 Nov. 2024. https://repository.mouau.edu.ng/work/view/automated-departmental-course-allocation-and-time-table-for-computer-science-7-2