Meet the Team
Md. Anower PervesID: 2012000000030
Zunayed ShahriarID: 2012000000026
Tanzila IslamID: 2012000000022
Monirul Hasan Lecturer & Coordinator, Dept. of CSETeam Supervisor
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Outline
Overview
Demo of the Topic
Timetable
Expectations
Tabu Search
Requirement Analysis
Complexity
Scoring
Advantage
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Constraints
Timetable
➲ What is Timetable?
➲ Why it’s need for?
➲ How can computers help?
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Expectations
➲ To implement core function of a bigger system
using Tabu Search (another team: CSP).
➲ Is there any way to solve this problem
using different algorithms?
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Tabu Search
➲ What is Tabu Search?
➲ How it Works?
➲ Relation with the topic?
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Tabu Search
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Requirement Analysis
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➲ How a department maintain their
routine now?- Manual
- Faculty Preference
- Time Consuming work
Requirement Analysis
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➲ What types of problem arises while
making a routine?- Conflicts
- Course Load
- Faculty Initial Problem
- Time
- Room & Resource Problem
- Faculty Preference
Requirement Analysis
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➲ Whats their needs?- Conflicts free schedule
- Server input faculty preference
- To reduce time consuming work
- Automated course scheduling software
Constraints
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➲ Time conflicts (Ex: Teacher & Student)
➲ Room assignment problem
➲ Distance problem (Ex: Campus to Campus)
➲ Room capacity
➲ Resource Problem (Ex: Room, Projector)
Complexity
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➲ Section assigning
➲ Faculty assigning (Ex:TBD)
➲ Room suitability (Ex: Projector)
➲ Availability of courses
➲ Faculty Preference
➲ Scheduling time
Scoring
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➲ How to score?
-Hard Constraints
-Soft Constraints
➲ Why need scoring?
Advantage
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➲ Automation
➲ Limited effort
➲ Solving problem
➲ Saving time
➲ Conflict Solution
Class Diagrams
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➲ Hibernate for ORM
➲ Class Diagram
Class Diagrams
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So Far Implementation Done
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Conclusion
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This will be a package which will help to solve the exam & course
timetabling for a university. The use of Tabu Search algorithms will be
allowed to obtain high quality solutions in very short computing times. This
will produce high quality results for large instances.
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