Module: Operational Analytics

Module Specifications.

Current Academic Year 2024 - 2025

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Date posted: September 2024

Module Title	Operational Analytics
Module Code	MNA1178 (ITS) / MNA1178 (Banner)
Faculty	DCU Business School	School	DCU Business School
Module Co-ordinator	James Byrne
Module Teachers	-
NFQ level	8	Credit Rating	5
Pre-requisite	Not Available
Co-requisite	Not Available
Compatibles	Not Available
Incompatibles	Not Available

Coursework Only

Description

This module introduces students to Management Science and mathematical modelling in the context of operations management, including familiarise students with decision making and problem solving using appropriate techniques and methods. There is a focus on transforming operational data into better decision making through the use of optimisation techniques, predicting outcomes and choosing the best course of action in the face of risk.

Learning Outcomes

1. Determine which quantitative analysis technique is appropriate for solving a specific problem
2. Use the appropriate quantitative method in a technically correct way to solve a business problem
3. Analyze quantitative output and arrive at a conclusion
4. Identify situations where mathematical models can help managers make better decisions
5. Describe and interpret a mathematical model, clarifying the underlying assumptions and the model’s limitations
6. Evaluate the application of a mathematical model, checking its correctness and its adequacy for the decision making problem to tackle

*Type*	*Hours*	*Description*
Workload	Full-time hours per semester
Lecture	22	No Description
Assignment Completion	57	No Description
Independent Study	46	No Description
Total Workload: 125

All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml

Indicative Content and Learning Activities

Introduction to Management Science for Operations

Linear Programming Concepts

Linear Programming Formulation and Applications

Modelling with Spreadsheets

What-if Analysis

Assessment Breakdown
Continuous Assessment	100%	Examination Weight	0%

Type	Description	% of total	Assessment Date
Course Work Breakdown
Assignment	Hands on mathematical modelling problem solving and decision making	30%	n/a
Report(s)	Individual report on a key topic in the area of management science	70%	n/a

Reassessment Requirement Type
Resit arrangements are explained by the following categories: Resit category 1: A resit is available for both* components of the module. Resit category 2: No resit is available for a 100% continuous assessment module. Resit category 3: No resit is available for the continuous assessment component where there is a continuous assessment and examination element.
* ‘Both’ is used in the context of the module having a Continuous Assessment/Examination split; where the module is 100% continuous assessment, there will also be a resit of the assessment
This module is category 1

Indicative Reading List

Frederick S. Hillier, Mark S. Hillier: 2019, Introduction to Management Science: A Modelling and Case Studies Approach with Spreadsheets, 6th Edition, McGraw Hill, 1259918920
Frederick S. Hillier, Mark S. Hillier: 2023, Introduction to Management Science and Business Analytics, McGraw Hill, 1260716295

Other Resources

None