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Overview In this project, you will develop a prototype for a Decision Support System ( DSS ) that helps administrators make informed decisions by priori

Overview
In this project, you will develop a prototype for a Decision Support System (DSS) that helps administrators make informed decisions by priori>zing entities based on weighted criteria. This system will be applicable to a specic problem domain, such as resource allocation in schools, hospitals, or retail stock management.
Objective
The aim is to design and implement a DSS prototype that processes data to rank items or choices according to their importance or urgency, aiding decision-makers in focusing on priority areas.
Project Scenario: Ecient Allocation of Educational Resources
Problem Context: A school district needs to distribute educational resources such as funding, sta, and materials among its schools to maximize educational outcomes.
Your Task: Develop a DSS that prioritizes schools based on various criteria like current performance levels, resource decits, and student demographics to suggest an optimal allocation strategy.
Project Phases/Deliverables
Problem Selection: Choose a specic domain and problem for your DSS application.
Data Collection and Handling: Gather data relevant to the problem, which could be real or simulated.
Development of Decision Logic: Create a scoring system that weights dierent factors according to their importance in decision-making.
Prototype Development: Implement the decision logic in a simple software tool using Python or another accessible programming environment.
Testing and Renement: Test the prototype to ensure it operates as intended and rene based on feedback or observed issues.
Presentation and Evaluation: Present the DSS to peers and instructor, demonstrating its functionality and explaining the decision-making process.
Tools:
You may use any of the free tools available for decision support system (DSS) applications. Here are some commonly used ones:
- Microsoft Excel
- Google Sheets
- Python with Libraries
Submission Requirements
All deliverables/outcomes associated with the project phases should be compiled into a nal submission package, which includes:
1. Report in a Word / PDF format including the code/formulas and screen shots of the output
2. Presentation using PowerPoint, Keynote, or Other Presentation Software.
1. Project Report (50%=25 marks)
Create and submit a well-structured MS Word Report that includes screenshots of all code. The report must include the following sections:
A project description that includes the problem statement and the expected impact of the DSS.
A dataset and an overview on how this data will be used in the DSS.
Documentation of the decision logic, including formulas and weighting factors.
A working DSS prototype that can calculate and display a prioritized list of choices.
A nal version of the prototype and a testing report.
A presentation that includes a live demo of the DSS.
B. Presentation/Oral Defense (50%=25 marks)
Individual Presentation (15 Marks)
Present your projects key ndings and recommendations with a well- structured presentation with good visualization to a live panel while explaining the process employed to perform your data analytics.
Individual Follow-up Questions (10 Marks)
You will need to demonstrate your knowledge of the topics by responding with correct answers to at least 3 questions asked.
Evaluation Criteria
Relevance and clarity of the problem statement and solution approach.
Eectiveness of the data handling and decision logic in addressing the problem.
Usability and functionality of the prototype.
Quality of presentation and ability to justify design choices.
Poor (D)
Poorly defines the problem with minimal or irrelevant details.

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