Online class allocation system project report
| Institution | Kisii National Polytechnic |
| Course | ICT/COMPUTER SCIENCE |
| Year | 3rd Year |
| Semester | Unknown |
| Posted By | MAKORI KERECHA |
| File Type | docx |
| Pages | |
| File Size | 1.22 MB |
| Views | 158 |
| Downloads | 0 |
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Description
The manual system of preparing Class Allocation in Collages within large number of students is very time consuming and usually ends up with various classes clashing either at same room or with same teachers having more than one class at a time. To overcome these problems people usually take the previous year’s timetable and modify it. But still it is a tedious job to incorporate changes every time. To overcome all these problems, we propose to make an automated system. The system will take various inputs like details of students, subjects and class rooms and teachers available. Depending upon these inputs, it will generate a possible time table, making optimal utilization of all resources in a way that will best suit any of constraints or rules.
So our aim is to develop a general-purpose automated system which can effectively generate automatic class allocation when given with several input constraints.
Below is the document preview.
Online class allocation system project report
The manual system of preparing Class Allocation in Collages within large number of students is very time consuming and usually ends up with various classes clashing either at same room or with same teachers having more than one class at a time. To overcome these problems people usually take the previous year’s timetable and modify it. But still it is a tedious job to incorporate changes every time. To overcome all these problems, we propose to make an automated system. The system will take various inputs like details of students, subjects and class rooms and teachers available. Depending upon these inputs, it will generate a possible time table, making optimal utilization of all resources in a way that will best suit any of constraints or rules.
So our aim is to develop a general-purpose automated system which can effectively generate automatic class allocation when given with several input constraints.
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1.22 MB