Aerospace Engineering 4

Overview

The Aerospace Engineering 4 course will focus on two different thematic areas, one per semester:

1. Space Mission Design: The course covers the fundamentals of space missions, including spacecraft subsystems, mission design, and environmental impacts on design. Students will learn system engineering approaches, conduct mission analysis , and apply multiphysics simulations in ANSYS for heat transfer, structural integrity, and fluid dynamics. The course integrates theory with hands-on practical sessions.

2. Aircraft Dynamics: advanced prediction of aircraft dynamics and flying qualities; aircraft stability derivatives for both longitudinal and lateral stability characteristics; "

Learning Objectives

Apply a comprehensive knowledge of mathematics, statistics, natural science and engineering principles to the solution of complex problems. Much of the knowledge will be at the forefront of the particular subject of study and informed by a critical awareness of new developments and the wider context of engineering.

Formulate and analyse complex problems to reach substantiated conclusions. This will involve evaluating available data using first principles of mathematics, statistics, natural science and engineering principles, and using engineering judgment to work with information that may be uncertain or incomplete, discussing the limitations of the techniques employed.

Select and critically evaluate technical literature and other sources of information to solve complex problems.

Design solutions for complex problems that evidence some originality and meet a combination of societal, user, business and customer needs as appropriate. This will involve consideration of applicable health & safety, diversity, inclusion, cultural, societal, environmental and commercial matters, codes of practice and industry standards.

Apply an integrated or systems approach to the solution of complex problems.

Use a risk management process to identify, evaluate and mitigate risks (the effects of uncertainty) associated with a particular project or activity.

Communicate effectively on complex engineering matters with technical and non-technical audiences, evaluating the effectiveness of the methods used

Skills

Apply knowledge of mathematics, statistics, natural science and engineering principles to the solution of complex problems. Some of the knowledge will be at the forefront of the particular subject of study

Summarise, report and respond on complex engineering topics

Apply an integrated or systems approach to the solution of complex problems

Use a risk management process to identify, evaluate and mitigate risks (the effects of uncertainty) associated with a particular project or activity

Acquire an appropriate AI literacy level to contribute to the AI ecosystem

Assessment

None.