MIS3010S Analytics Modelling

Academic Year 2022/2023

"With the availability of data and computing power, analytical and mathematical approaches have become increasingly important in addressing business, engineering and other problems; notably decision problems where a decision must be made subject to constraints such as limitations on resources; or data analytics problems where we seek useful information in a large dataset.

This course introduces the concept of Mathematical and Analytics Modelling in Decision Problems, and surveys some of the major mathematical models and solution techniques. Participants will learn how to conceptualise complex business problems and transform them into a set of equations (models) that describe the problem. For example a network model, when we are given several distinct points (such as cities) and links connecting them (such as a road network), may be used to determine the optimal routing of goods in a supply chain.

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Curricular information is subject to change

Learning Outcomes:

On completion of this module, you should be able to:

- discuss a portfolio of important business optimisation problems and their application;
- explain the concepts of a suite of key linear programming and network approaches;
- formulate and solve appropriate mathematical models of real world business optimisation problems;
- demonstrate the use of mathematical modelling computer packages and information technology as an aid to business decision making.

Indicative Module Content:

Indicative Module Content:
Linear Programme (LP) models and applications;
Implementing (LP) models and interpreting solutions;
Integer Programming (IP) models and applications;
Introduction to Graph Theory and Network problems;
Network Optimisation."

Student Effort Hours: 
Student Effort Type Hours
Lectures

20

Specified Learning Activities

85

Autonomous Student Learning

102

Total

207

Approaches to Teaching and Learning:
Students attend will classes for this module and have the opportunity to engage in active learning during these sessions. There will be in-class discussion and group work to analyse module concepts. Where appropriate, the module will incorporate case based learning 
Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Continuous Assessment: Continuous assessment Varies over the Trimester n/a Graded No

40

Examination: End of Trimester examination 2 hour End of Trimester Exam No Graded No

60


Carry forward of passed components
No
 
Remediation Type Remediation Timing
Repeat Within Two Trimesters
Please see Student Jargon Buster for more information about remediation types and timing. 
Feedback Strategy/Strategies

• Group/class feedback, post-assessment

How will my Feedback be Delivered?

General feedback is provided to students on all their submitted assessment components.

Name Role
Dr Christina Burke Tutor
Ms Michele Connolly Tutor
Dr Sean McGarraghy Tutor
Rachel Sim Tutor
Caleb Tan Tutor
Chee Shong Tan Tutor
Charlene Tan Puay Koon Tutor