MC9510 - Modelling in Operations Research
Welcome to the course page for “Modelling in Operations Research” specifically designed for engineering students! This course is designed to introduce you to the fundamental principles and techniques of operations research, with a focus on mathematical modeling.
Operations research is a multidisciplinary field that combines mathematical algorithms, statistical analysis, and optimization techniques to solve complex problems and make informed decisions. In this course, you will learn how to construct mathematical models to represent real-world engineering problems and develop strategies to optimize them.
Throughout the course, you will explore various modeling techniques, including linear programming, integer programming, network optimization, and simulation. You will also gain hands-on experience with software tools commonly used in operations research, such as MATLAB or R to implement and solve these models.
By the end of this course, you will have a solid understanding of how to apply operations research techniques to solve engineering problems, analyze data, and make informed decisions. Whether you’re interested in supply chain management, transportation systems, production planning, or any other engineering field, the skills you acquire in this course will be invaluable.
So, get ready to dive into the world of operations research and enhance your problem-solving abilities. Join us on this exciting journey as we explore the power of mathematical modeling in optimizing engineering systems!
We wish you well in your studying.
Syllabus
Course Overview:
This course is an introduction to Operations Research and its application to real-world problems. The emphasis of the course is on developing skills in model formulation and demonstrating the mathematical techniques of Operations Research. At the end of the course students should be able to identify and formulate a variety of operations research models, use standard computer packages to these formulations, and interpret and analyse the results.
Expected outcomes:
By the end of this course unit, students should be able to (1) Use computers and spreadsheets to perform quantitative analysis, (2) Formulate and solve problems for the transportation, transhipment and assignment models. (3) Plan, monitor and control projects and understand the role of software in solving network and project management (4)Use probability to make decisions under risk.
Texts:
Evaluation:
The final letter grade for this course will be determined by each method of assessment weighted as follows:
- In course assessments (50%)
- Assignment (20%)
- Mid semester assessment (30%)
- End of course examination (50%)
Attendance Policy:
Absence from lectures and/or tutorials shall not exceed \(20\%\). Students exceeding the \(20\%\) limit without an accepted medical or emergency excuse are not permitted to take part in the final examination.