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Curricular information is subject to change
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 appropriate mathematical models of real world business optimisation problems;
• implement and solve the mathematical models using suitable computer packages such as FICO XpressMP and Microsoft Excel;
• demonstrate how to aid business decision making by interpreting the solutions to recommend decisions.
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 Type | Hours |
---|---|
Lectures | 24 |
Tutorial | 0 |
Specified Learning Activities | 42 |
Autonomous Student Learning | 48 |
Total | 114 |
You need some mathematical background for this course. For the first part, Linear Programming, you need to understand how to solve systems of linear equations (e.g., using Gaussian Elimination). You should be familiar with the concept of a linear inequality. This is dealt with in most UCD 1st year Mathematics courses covering Linear Algebra, e.g., Commerce, Engineering, Science, etc. The second part of the course, Networks, requires some understanding of sets and indexed notation. Everything else will be covered in this course.
Learning Recommendations:Some experience with computers is helpful but not required: you will be shown how to use any computer applications required. Understanding algorithms (step-by-step approaches to problem solving) is also helpful.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Assignment: Assignments/Mini-Projects/MCQ | Varies over the Trimester | n/a | Graded | No | 30 |
Assignment: End of semester individual assignment | Coursework (End of Trimester) | n/a | Graded | No | 70 |
Resit In | Terminal Exam |
---|---|
Spring | Yes - 2 Hour |
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
• Online automated feedback
• Self-assessment activities
Solutions to self-assessment exercises on VLE; Automated feedback on MCQ; Team feedback (Grade plus comment) pre team project, plus general feedback to the class.