Jointly offered by SIT and the University of Glasgow (UofG), the BEng / BEng (Hons) Aerospace Engineering is a three-year honours degree programme that will equip students with the specific skill set necessary to meet the growing manpower demands in the local and global aerospace industry with a specific emphasis on autonomous aerial vehicles.
Students will be equipped with sound foundations in engineering through appropriate mathematics and physics courses, upon which specific unmanned aerial systems knowledge will be built. The programme also includes a mandatory Overseas Immersion Programme (OIP), during which students will undertake a group project as well as witness industry best practices through industrial site visits in Glasgow.
In the last year of the degree programme, students will get to apply the theoretical knowledge gained and refine their technical skills through an eight-month Integrated Work Study Programme (IWSP) in local and overseas companies, working in the areas of unmanned systems and aerospace engineering.
Graduates from the programme will be equipped with knowledge of wireless communication, RF engineering, guidance and navigation systems, signal processing, unmanned propulsion systems, data analytics, risk and reliability and aviation legislation. They will be innovative individuals who are able to apply their technical and practical knowledge in the development of novel approaches, solutions and implementations of unmanned aerial systems.
Eligibility and Exemption
Diploma holders from any of the five local polytechnics, A level / IB Diploma graduates are welcome to apply.
Subject to approval, diploma applicants may be granted module exemptions, based on the modules taken during their diploma.
A-Level / IB Diploma Prerequisites:
Obtained a good pass in one H1/H2 or SL/HL Mathematics and also a good pass in one H1/H2 or SL/HL Physics.
Graduates can look forward to careers in these areas:
This course starts with complex numbers, vectors. This is followed by the basic concepts of limits, differentiation and integration, as well as the differential and integral calculus. An introduction to the concept of partial fractions, Fourier series, Euler's formula, Laplace transform and other numerical methods will prepare the students for other modules in Year 1.
The course is an introduction to the fundamentals of Newtonian Physics. Topics covered include Kinematics, Newtonian mechanics, energy principles, impulse and collisions, dynamics of rotational motion, fundamentals of thermodynamics.
This course provides students with the ability to apply the principles of engineering mechanics to determine elastic behaviour of members and components subjected to bending moment, shear force, axial force and torque, including elastic deflections of beams (statically determinate and statically indeterminate) and torsion of circular and thin-walled sections. Behaviour of beams is also extended to simple cases of plastic bending behaviour.
This module is intended for students with no prior knowledge in electronics and circuits, and can be taken by any student interested in fundamental skill set in electronic circuits. Specifically, the course focuses on developing a basic understanding of the fundamentals and principles of analogue circuits. Students will study methods for calculating the behaviour of analogue circuits, including topics such as Ohm's Law, Kirchhoff's Laws; voltage and current generators both ideal and practical; Thèvenin and Norton Theorems; superposition; nodal analysis, AC circuit analysis using complex numbers.
This module is intended for students with no prior computing knowledge or experience beyond basic familiarity with the operation of a personal computer and can be taken by any student interested in acquiring basic programming skills. The topics covered in this module include: Introduction to the historical and social context of computing, Basic concepts in programming (Data types, Control structures, Functions, Arrays, pointers, Files), Running, Testing and Debugging scripts and programs, Overview of Programming paradigms. Programming concepts are demonstrated in a variety of languages and practised in a standard programming language (C). The module will also introduce students the best practices in secure coding such as input validation and data sanitization, and issues such as integer exploits and buffer overflows.
This course provides an extension into vector/matrix operations including the inverse matrix operation. This is followed by the solution of series and ordinary differential equations, operations of functions with multiple variables, linear algebra, partial differentiation.
This course provides a grounding in the fundamental methods of fluid mechanics in both static and dynamic situations. It also introduces general principles such as dimensional analysis, which are widely applicable in engineering.
This course introduces students to modelling and analysis of dynamic systems, with particular emphasis on free and forced oscillations, and investigation of the system response. Deriving the solution of the resulting differential equations and the application to simple vibration problems.
Introduce students to the problems of automatic control, with practical illustrations;
Provide a basic understanding of techniques used to model engineering systems and to allow students to gain a physical understanding of the factors influencing the steady-state and dynamic response of practical systems;
Provide an understanding of the time-domain and frequency-domain methods of analysis of control systems;
Provide an understanding of the properties of proportional, integral and derivative controllers;
Gain experience of real closed-loop control systems and to learn about analysis methods using computer based techniques.
This module aims to help you develop such abilities through academic essay writing, technical report writing, reflective writing, small group discussions, oral presenting and other learning activities. AEE1271 also adopts a process-based, reading-into-writing approach so that students have the chance to learn/unlearn/relearn from the multiple drafting experience of each writing assignment. For the principle instructional focus of the course, a project-based approach is used that requires teams of students to explore authentic engineering problems and develop viable solutions within real-world contexts. Within the module, you will read discipline-specific articles, do writing assignments and a project with an engineering focus, and interview engineers or related experts, thus facilitating greater acquaintance with the field.
The objective of this module is to provide students a holistic understanding of aerospace engineering. This is done by providing preliminaries on main themes - The description of the atmosphere, Introductions to flight Mechanics, airplane performance, stability and control, space flight, propulsion, structures and finally advanced vehicle concepts. Additionally, students are introduced to concepts of ethics and sustainability pertaining to aerospace engineering. Through these concepts, students will be able to appreciate historical traditions and background associated to the technology that are used in aerospace engineering.
This course covers statistics and probability, in which the calculation of mean, median, standard deviation, quartiles, percentiles and interquartile range will be covered. Cumulative frequency diagrams, as well as box-and-whiskers-plot will be covered.
This course will equip the student with a robust theoretical basis for development of elementary concepts in conventional aircraft and multirotor UAV performance.
Flight Mechanics introduces the students to the basics of flight physics. It is a key module in any aerospace course to illustrate how different theories from aerodynamics to propulsion are combined to arrive at a basic flight simulation environment. The students will learn different ways to parameterise the motion of an aircraft and develop an understanding of what factors influence the handling of an aircraft. The latter will be demonstrated in virtual flight simulation experiments. During virtual flight simulation sessions the students will experience the factors that influence the handling qualities of conventional aircraft.
This module aims to develop a basic understanding of Aerodynamic behaviour for both 2D and 3D wings. Students will require knowledge from Fluid Mechanics leading up to Kutta-Joukowski Theorem. Students will then apply General Thin Airfoil theory to develop 2D wing flow characteristics and Prandtl’s lifting line theory to derive Aerodynamic coefficients for 3D finite wings. Students will also be required to learn and apply mentioned knowledge through computational methods so as to understand the derived equations better.
Mathematical Modelling and Simulation of Fixed Wing Aircraft, Linearised Equations of Motion 3, Stability Derivatives, Aircraft Dynamic Stability Response to Controls, Reduced Order Models.
This subject covers propulsion of the aircraft and UAVs. of all kinds, i.e. conventional air-breathing systems (turbofan, turboprop and to turbojet) to electric-motor systems, battery-based systems, Fuell Cell and other emerging systems (Photovoltaic and Ultracapacitors) for UAV.
Its intent is to foster an understanding of the characteristics of these diverse propulsion systems from the basic principles, to applications.
For aircraft propulsion, brief introduction of each component, i.e. propeller, compressor, combustion chamber, turbine and nozzle (with afterburner) will be introduced. A goal is to introduce the learner to the methods of mathematical modelling of propulsion systems and then to use these modelling techniques to develop an understanding of the characteristics of the several types of propulsion systems treated.
For UAV propulsion, this course introduces electric-motor systems, battery-based systems, Fuell Cell and other emerging systems i.e. Photovoltaic and Ultracapacitors.
The aims of this course are to introduce students on understanding of advance linear and non-linear system. The student will learn about time-invariant state space systems, continuous and discrete time domain, multivariable control, advanced feedback controllers, e.g., robust control, adaptive control and digital control. Practical application to unmanned systems.
Importance and need for software engineering as part of the general design of complicated computer systems, knowledge of how to use common software engineering processes. Python programming language, models for developing software, in terms of developer roles and common project development processes, techniques to capture project requirements and encode/convert them into standard documentation formats, selecting an appropriate programming language, applying common design patterns and validating software through testing and run-time checking.
This module aims to help students develop career and professional skills to meet the demands of today’s workplace. The module comprises three main components:
Job search – takes students through the entire process of job search;
Written communication – introduces students you to good practices in written workplace communication; and
Oral communication – gives students opportunities to hone their speaking skills in various work-related oral activities.
This course aims to develop familiarity with the analysis of metallic airframe structures, and to develop an appreciation of current manufacturing technologies and how these influence material selection and component design.
It covers the following topics:
Stress and strain transformations, through which experimental data can be processed and interpreted;
Calculation of geometric properties in complex section members, bending and torsional stresses elastic and plastic material behaviour;
Shear flow and shear centre within single and multi-cell boxes;
Stiffness matrix method of structural analysis, applied to frame structures, for extraction of deflections, member end force components and reactions.
Fatigue and fracture problems in structural materials.
This module develops the students understanding of Availability, Reliability, Maintainability thereby enhancing the students' ability to evaluate design proposals from a number of related viewpoints. To illustrate and develop an understanding of robust design from functional performance and manufacture viewpoints. To expose students to the discipline involved in researching a technical area and produce a report and presentation.
Computational approaches to working with numerical data on a large scale. Computation on arrays of continuous variables underpins machine learning, data analytics, and signal processing. Vectorised operations on numerical arrays, fundamental stochastic and probabilistic methods and scientific visualisation. Manipulating continuous data, specifying problems in a form that can be solved numerically, dealing with unreliable and uncertain information, and communicating these results. Operations on vectors and matrices, specifying and solving problems via numerical optimisation, time series modelling, scientific visualisation and basic probabilistic computation.
This is an intensive 3-week group design project where students will take as an overseas immersion programme (OIP) at UoG. The project based subjects in which students are required to undertake as group projects will cover both the conceptual and detailed aspects of design. It involves different areas of the civil engineering discipline such as ground investigation, planning, transportation design, social, foundation design, structural design, and buildability of the construction.
This is an uninterrupted 8-month duration (2 trimesters) structured learning and work programme which will provide students with unique learning opportunities to achieve the following objectives, i.e. (1) applied learning – integration of theory and practice, acquisition of specialist knowledge and development of professional skills, (2) exposure to real-world conditions - appreciation of real-world constraints in respective industry contexts to develop skills of adaptability, creativity and innovation, and (3) smooth transition to jobs - practical experience which shortens work induction period.
Students will have the opportunity to develop innovative solutions for the design, research, development and integration projects they are working on. In this way, the IWSP will be a key platform to inculcate the SIT-DNA in every student.
Final year students will carry out the project work from any discipline within aerospace engineering. The project will focus on computational analysis and design, integration and R&D. Students would ideally start their capstone project during the IWSP and carry it out with the guide of IWSP work supervisor. The project duration is over the entire academic year. An individual formal report is required. Each student is required to make an oral presentation.
This course is designed to address several aspects of professional practice for engineering students to aid their transition into employment. It exposes students to organisational structures, objectives, governance, business evaluation of new products or services, analysis of new product ideas against market demands, and product development lifecycles. Engineering economics, appropriate use of standards, project management techniques and processes, including risk management are also covered. In addition, it provides students exposure to different engineering roles within an organisation and how they influence the overall business direction through strategic and operational planning.
This course aims to develop familiarity with numerical finite-element methods of structural analysis and apply them to the simulation of the behaviour of beams, plates and shells, which form the components of airframe structures.
The course extends the analytical stiffness matrix methods of structural analysis taught in earlier years to the minimum mass design of aerial vehicles under complex loading, through thermo-mechanical tailoring of composite materials to optimize stiffness, strength and buckling performance. Commercial software will underpin design and simulation projects for composite components which will be validated through manufacture and test.
The module begins with the Fourier method of signal analysis and processing in linear systems, which includes the basic principles of signals and communication systems by means of spectral analysis.
Using Fourier method as the basic tool as well as the circuit analysis and filter knowledge, the complete picture of analogue amplitude and angle modulation will be covered including both the generation and detection techniques.
Digital modulation methods as well as its application in satellite communication will be briefly introduced.
Flight Systems equips the students with the theory and practical skills to enable autonomous operation of flight vehicles. The module explains the use of modern inertial, position and vision sensors to estimate the position and flight direction of the vehicle. This provides the starting point to subsequently explore different guidance and control techniques to enable flight path generation and following, obstacle avoidance and disturbance rejection of modern unmanned aerial systems. Practical laboratory sessions will provide the students with the hands-on skills to implement a flight control system on a conventional quadcopter.