Given below the scenario for the Counseling system for school : This Project helps the user (students)
Question:
Given below the scenario for the Counseling system for school :
This Project helps the user (students) to get admission in Courses and Universities (or Colleges) online without having to actually visit the University. This system manages a centralized Database of all Courses, Colleges and available seats (or vacancies). Students can check the status and remaining seats in their desired course online using this system and can plan for their admission accordingly. The system acts an intermediary between the students and the Colleges during admission process. If student doesn’t have an account, they must sign up. Actor sign in to the application. The authenticate system will validate the student id. The actor searches the keyword. The application will display the related results of public post. Actor can view and join the discussion. Student can request to have a virtual counselling. This request will be assigned to the mentor. Student will be connected to the mentor and they can have counselling session through private message or chatting. After the counselling, student could provide feedback. All actors must have the sign in identification. Actor can request the online chatting with those with online status. Actor requests online chatting with the other student. Student may accept or reject the request. Actor create new thread about any issues. The other actor give opinion by add comment. The other actor reply comment from no to support or give any opinion. Actor can rate the thread. Any inappropriate thread will be closed by administrator. Actor create support group. The other actor give opinion by add comment. Actor can rate the profile of the group’s creator. Any inappropriate support group will be closed by administrator.
Now MUST Draw the "USE CASE DIAGRAM" and "CLASS DIAGRAM" for following given scenario above. Use stereotype in the Use case and class Diagram.
An Introduction to Statistical Methods and Data Analysis
ISBN: 978-1305269477
7th edition
Authors: R. Lyman Ott, Micheal T. Longnecker