Course Highlights - MAE

Flight Dynamics (Core Course)

AIRCRAFT EQUATIONS OF MOTION FOR FLIGHT DYNAMIC ANALYSIS
  • 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
AIRCRAFT STABILITY DURING FLIGHT
  • 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
HANDLING QUALITIES OF AIRCRAFT
  • 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)
MAE_Leow Jian Hoong
Leow Jian Hoong
Class of 2022

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.

This is a versatile course as skills acquired in this course can also be applied to other fields of mechanical systems such as robotics with some minor adjustments.

Aircraft Design (Core Course)

DESIGN EVALUATION
  • Evaluation of the configuration design of an aircraft to meet its intended design specifications and safety requirements
INTEGRATED MULTIDISCIPLINARY APPROACH
  • Design or modification of flying vehicles using an integrated multidisciplinary approach
  • Application of systems engineering principles
  • Aerospace Engineer
  • Design Engineer
  • Project Manager
MAE_Kong Shao Ming
Kong Shao Ming
Class of 2022

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)

DIGITAL SIGNAL PROCESSING
  • Basic information theory and digital signal processes
CIVIL AIRCRAFT OPERATION
  • Understanding aircraft operation
MODERN AIRCRAFT NAVIGATION
  • Understanding how air navigation evolved with technology to improve safety and productivity of commercial aircraft
FLIGHT COMPUTERS
  • Use of automation to improve air safety and efficiency of aircraft
CONCEPT OF AVIATION DESIGN AND SAFETY
  • 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
MAE_Reine Soo
Reine Soo
Class of 2022

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)

FUNDAMENTAL KNOWLEDGE AND BASIC SKILLS IN ROBOTICS
  • Design principles of robots
  • Procedure of robot’s motion planning
  • Procedure of robot’s motion control
  • Robot kinematics
  • Robot dynamics

APPLICATION OF ROBOTICS
  • Application of robots to achieve automations in industries and services

  • Robot Designer
  • Automation Engineer
  • Technopreneur
  • Project Manager
  • Robotics Researcher

MAE_Dexter
Heng Cheng Jin, Dexter
Class of 2024
Thanks to this course, I’ve gained a profound understanding of robot planning principles and applied programming and design skills for robot arm construction using forward or inverse kinematics. We also covered the intricacies of programming and planning for robot functionality, covering motion planning, sensor usage, and positional calculations. The project work helped to cultivate soft skills, like collaboration and problem-solving. The hands-on approach, such as building a robot arm by applying the concepts taught, was particularly appealing to me. It allows practical application and effective learning. This course is invaluable for potential careers in robotics and mechatronics, offering a solid foundation for future endeavours in these fields.

Machine Intelligence (Major Prescribed Elective)

ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
  • 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
DATA MINING AND DECISION-MAKING
  • 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
VISUAL DATA ACQUISITION AND PROCESSING
  • 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
MAE_Zi Iun
Lai Zi Iun
Class of 2022

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)

INFORMATION EXCHANGE FOR BETTER MANAGEMENT
  • Learn how companies can use information exchange to better manage their organisations’ demand and minimise the  stock of products
FORECAST CUSTOMER DEMAND
  • Forecast demand arising from company’s customer base
DEVELOP INVENTORY POLICIES FOR EFFECTIVE SUPPLY CHAIN MANAGEMENT
  • Design policies that can enable a company to lower their component or product stock while meeting customer demand
IDENTIFY ISSUES AROUND DESIGN OF SUPPLY CHAIN AND TRANSPORTATION NETWORKS
  • Better serve customers’ demand and keep product/raw material stock low with a well-designed network of supply locations and demand fulfilment centres (warehouses)
IDENTIFY AND MEASURE INDICATORS (SUCH AS COST, SERVICE LEVEL, ETC.) OF PERFORMANCE
  • 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
MAE_Xuanle
Zhou Xuanle
Class of 2024
This course dives into the world of supply chain management, navigating challenges and solutions in product distribution.  It equips us with modern strategies and analytical tools, employing mathematical models and real-life cases for  problem-solving. What sets this course apart is its focus on real-world applications. Instead of abstract theories, we  examined practical scenarios faced by companies like Barilla and e-commerce giants. These examples bridge theory  with practicality, making learning engaging and relatable. In our globalised landscape, understanding supply chain  complexities is vital. This course offers economic insights and delves into the decision-making factors that shape the  industry, imparting valuable skills essential for navigating complex supply chains in today’s world.