Applied Machine Learning for Engineers (Lecture + Project)
Format: 24 Lectures (12 weeks) + 24 Tutorials Sessions.
Occurrence: Offered every winter semester
Course Level: Master Students (Typically in their 3rd or 4th semester)
Intended Learning Outcome
In this course, Machine Learning algorithms are applied to problems arising in aerospace engineering. Lecture topics include:
Main tools used are Python, scikit-learn, PyTorch and TensorFlow (Keras).