Code
MATH2011
Credits
25
Graduate Attributes
Introduction
In this unit, the Operations Research (OR) discipline is introduced as a tool to deal with decision makings. Art of modelling for the purpose of mathematical formulation is discussed, then solution methods to finally appropriate decision making are taught. The main focus of the unit is on Linear Programming (LP) as a foundation for optimisation problems. Industrial applications of LP are considered. Some other problems like Quadratic Programing and its application in portfolio optimisation as well as Game Theory are part of the unit syllabus.
Lecture
1 x 2 Hours Weekly
Tutorial
1 x 1 Hours Weekly
Workshop
1 x 1 Hours Weekly
Unit Learning Outcomes
- 1 demonstrate understanding of the nature and purpose of Operations Research for analysis of complex systems and operations, GC1, GC2, GC3, GC6
- 2 develop skills in the formulation and solution of Linear Optimization problems arising in engineering, management and business, GC1, GC2, GC3, GC6
- 3 comprehend the fundamental concepts of theory of Linear Programming (LP) and the ability to apply it, GC1, GC3
- 4 self-directed learning skills in using LINDO for the solution and analysis of LP problems, GC2, GC3, GC4, GC6
- 5 comprehend the basic formulations of Quadratic Programming (QP) and the ability to apply it, GC1, GC2, GC3, GC6
Course Learning Outcomes
- 1 Demonstrate a conceptual understanding of fundamental science, mathematics, data analytics, information science, and computing underpinning the broad field of engineering
- 2 Solve complex Industrial and Systems engineering problems of industrial and societal significance through the application of discipline-specific and integrated bodies of knowledge, design and sustainability principles
Assessment Breakdown
Recent Unit Changes & Response to Student Feedback
Students are encouraged to provide feedback through student surveys (such as Insight and the annual Student Experience Survey) and interactions with teaching staff. Listed below are some recent changes to the unit as a result of student feedback. The simplex method in matrix form is discussed in more depth (The Product Form of the Inverse).