Module code: EMS740P
Credits: 15.0
Semester: SEM1
Contact: Dr Jun Chen
Overlap: In taking this module you cannot take and not fail EMS702P
Deriving insight from data is essential to problem-solving innovation in modern engineering disciplines. To gain this insight, the data needs to be understood and appropriately interpreted. In this module, you will develop tools, systems, and processes to enable the application of artificial intelligence in real-world contexts. You will learn probability theory and the transformation of data from a high- into a low-dimensional space. You will develop statistical thinking in order to design data collection, derive insights from visualising data, obtain supporting evidence for data-based decisions and construct models for predicting future trends from the data. You will learn techniques applied to your discipline for unsupervised and supervised learning and apply them to automating routine engineering tasks, and to apply machine learning approaches to complex and critical systems in a holistic and system-oriented way.
Connected course(s): UDF DATA
Assessment: 60.0% Examination, 40.0% Coursework
Level: 7
