Automated Academic Planning System

Mohapatra, Pranay (2013) Automated Academic Planning System. BTech thesis.

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Abstract

Planning and Scheduling of classes in an institute is of pivotal importance. Classes which have to be rescheduled must be immediately notied to the students so that they do not miss the classes and later blame the authorities for not notifying them.Same is the case for classes which are cancelled. Assignments given by faculties must be immediately relayed to the students since the students have to plan their everyday schedule according to the academic workload. Many a times classes are cancelled or rescheduled on a short notice or extra classes are scheduled prior to any information. This leads to students missing a number of classes or wasting their time and energy to attend a class which was already cancelled. Assignments on the other hand fail to get submitted on time due to misinformation by the intermediaries. The general method used to relay such information is taking the help of the class representative of the class, who either sends SMS or emails to every student,which have an history of failing. All the various information about the timing of classes cancelled or rescheduled, submission of assignments and other important notices is handled by one human which increases the chances of failure from time to time.If the class representative is not available then the problem aggravates to a higher level. In this project, we have tried to replace the manual labour involved in the aforementioned issues and created an automated system which eliminates the work of the class representative to some extent. Also a scheduler is made for students to schedule their daily activities along with the classes so that any change in the academic schedule or any pending assignments or other issues will be re ected and they can plan their day accordingly.

Item Type:Thesis (BTech)
Uncontrolled Keywords:AutomatedSystems;Planning;Scheduling;Planner;
Subjects:Engineering and Technology > Computer and Information Science > Data Mining
Divisions: Engineering and Technology > Department of Computer Science
ID Code:4713
Deposited By:Hemanta Biswal
Deposited On:29 Oct 2013 11:34
Last Modified:20 Dec 2013 14:11
Supervisor(s):Jena, S K

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