This module aims to provide students with a comprehensive understanding of Digital Twins (DT) and applications in industry. Students will explore the fundamental concepts and advanced techniques used in DT, enabling them to design and develop DT systems for various real-world applications. The module will emphasize both theoretical foundations and practical implementation aspects, equipping students with the necessary DT skills to tackle challenges in industrial-relevant problems.
A Understand and apply the concepts and methodology of digital twins.
B Use a digital twin platform to create simple visual representations for digital twins.
C Apply machine learning and data analysis to create data-driven models.
D Use digital twin skills to solve industrially relevant problems.
This module is delivered as one two-hour lecture/tutorial and one two-hour practice in the computer laboratory, each week. Lectures, videos and examples from real applications of Baidu and other partners will be used. Each week the students have to solve a set of exercises during the laboratory classes. The students are assisted during the practical laboratory classes by demonstrators and teaching assistants to complete lab practices and an individual project, respectively.
Studies in conjunction with industrial partners will also provide time for reflection and consideration of lecture material and background reading.