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Course Highlights - MAE
Flight Dynamics (Core Course)
- Understanding of the principles of flight dynamics and the problem of controlling aircraft motion
- Derivation of equations of motion of a rigid body aircraft
- Linearisation of aircraft equations of motion
- The different conditions that will diminish the oscillations to an aircraft caused by turbulence or pilot’s control input to maneuver the aircraft, for a steady flight
- Types of design parameters that affect these oscillations and how to choose these parameters to minimise (or avoid) the oscillations
- Correlation of handling qualities to dynamic characteristics of an aircraft
- Aircraft Design Engineer
- Flight Test Engineer (in aircraft manufacturing industries as well as certification agencies)
This course focuses on analysing the stability of aircraft. It requires us to visualise the different orientation an aircraft is flying in and the effect of different environmental conditions on the aircraft.
The course has also enhanced my ability to perform critical thinking towards arriving at my final solution as well as logical reasoning of the solutions. Moreover, it has provided me with insights into the regulations and current industry standards of acceptable aircraft stability requirements for both military and commercial aircraft.
Aircraft Design (Core Course)
- Evaluation of the configuration design of an aircraft to meet its intended design specifications and safety requirements
- Design or modification of flying vehicles using an integrated multidisciplinary approach
- Application of systems engineering principles
- Aerospace Engineer
- Design Engineer
- Project Manager
This course allows us to experience the crux of the engineering thought process behind the design and creation of an aircraft within one semester and provides plenty of insights as well as opportunities for learning. Concepts, knowledge and different skills from various past courses such as creating of 3D models with Computer Aided Design software are rigorously applied.
Communication and collaboration are the key skills acquired and developed in this course. We are also given the freedom to explore and incorporate the various technologies that are currently available or in the near future. There is a good balance of self-discovery as well as guidance from the professors.
Aircraft Navigation and Flight Computers (Core Course)
- Basic information theory and digital signal processes
- Understanding aircraft operation
- Understanding how air navigation evolved with technology to improve safety and productivity of commercial aircraft
- Use of automation to improve air safety and efficiency of aircraft
- Understand how modern aircraft are designed to meet changing demands of air travel to ensure economic operation without compromising safety
- Pilot
- Aircraft Maintenance Engineer
- Technical Services Engineer
- Air Traffic Controller
- Manager involved in Aircraft Leasing/Purchase/Production and Repair of Aerospace Equipment
This course provides a good understanding of flight computers and systems onboard aircraft for navigation purposes. It leans towards the avionics aspects instead of the mechanical aspects of aircraft and gives a good grasp on navigation systems and equipment vital for pilots to fly an aircraft safely from one point to another.
The course also requires students to work in teams and develop their critical thinking and communication skills. It is useful for students who are interested in or would like to venture into avionics or flight computers, which might be another realm of aerospace beyond the scope of mechanical engineering.
Robotics (Robotics and Mechatronics Stream) (Major Prescribed Elective)
- Design principles of robots
- Procedure of robot’s motion planning
- Procedure of robot’s motion control
- Robot kinematics
- Robot dynamics
- Application of robots to achieve automations in industries and services
- Robot Designer
- Automation Engineer
- Technopreneur
- Project Manager
- Robotics Researcher
Machine Intelligence (Major Prescribed Elective)
- Main concepts of machine intelligence with the principles of artificial intelligence, intelligent agents, visual perception, basic science of data analysis and logics
- Decision-making methodology underlying the machine intelligence and their use in smart products and manufacturing systems
- Overview of different learning, inference and optimisation schemes such as clustering, classification, principal component analysis, fuzzy inferencing, bayesian inferencing, artificial neural networks, generic and evolutionary algorithms
- Principles of designing visual perception systems by exploring unsupervised learning techniques for data modelling and analysis including data clustering, computer vision, reinforcement learning, problem solving, machine learning algorithms, image recognition, and perception of 2D and 3D geometries
- Artificial Intelligence (AI) Engineer
- AI Project Manager
- AI Consultant
- Researcher
In this course, we learnt how to teach machines to make decisions so that they may fulfil mundane or hazardous tasks for humans. Understanding the algorithms also showed me why things are being done in a certain way, and I began to see how the dots connect in reality.
Apart from the technical knowledge acquired, I have also further developed my communication and writing skills as well as teamwork. The understanding of decision making with sensor and data input is definitely relevant to my future career as a defence engineer. More broadly, the content this course covers can be applied to any field where knowing how machines think is important.
Supply Chain and Logistics Management (Major Prescribed Elective)
- Learn how companies can use information exchange to better manage their organisations’ demand and minimise the stock of products
- Forecast demand arising from company’s customer base
- Design policies that can enable a company to lower their component or product stock while meeting customer demand
- Better serve customers’ demand and keep product/raw material stock low with a well-designed network of supply locations and demand fulfilment centres (warehouses)
- Measure and benchmark the performance of company against competitors in the same industry
- Pick performance indicators that are critical to the company’s success
- Supply or Demand Planner
- Production Scheduler
- Supplier Manager
- Warehouse Manager
- Supply Chain Manager
