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MIS41260

Academic Year 2024/2025

Decision Modeling and Metaheuristics (MIS41260)

Subject:
Management Information Systems
College:
Business
School:
Business
Level:
4 (Masters)
Credits:
7.5
Module Coordinator:
Assoc Professor Peter Keenan
Trimester:
Summer
Mode of Delivery:
On Campus
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

This course is devoted to decision science, which considers the application of mathematical modelling and analysis to managerial problems. The first part of the course will focus on optimization from a modelling perspective, and emphasize a structured approach to problem-solving in management situations. The second part of the course is essentially a tutorial on metaheuristics, providing descriptions, implementations and practical applications in the area of business analytics.

About this Module

Learning Outcomes:

- Develop mathematical models and execute model-based analysis.
- Design and implement algorithms to solve practical optimization problems.
- Apply common analytic methods to make better decisions in complex problems
- Create both Excel solver models and Visual Basic applications for optimization

Indicative Module Content:

Network models
Goal Programming
MultiObjective Optimization
Neural Networks
Metaheuristics I: GRASP
Metaheuristics II: Tabu Search
Metaheuristic Applications

Student Effort Hours:
Student Effort Type Hours
Specified Learning Activities

48
Autonomous Student Learning

84
Lectures

24
Total

156

Approaches to Teaching and Learning:
Lectures
Practical demonstrations
Active/task-based learning;
Practical student computer work

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 

Assessment Strategy
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Exam (In-person): 2Hr Final Exam Week 15 Graded No
50
 Yes
Individual Project: Practical assignment on the use of metaheuristic techniques. Week 15 Graded No
50
 No

Carry forward of passed components
Yes
 

Remediation Type Remediation Timing
In-Module Resit Prior to relevant Programme Exam Board
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Name Role
Mr Rafael Marti Cunquero Lecturer / Co-Lecturer
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