Python for Engineering Data Analysis - From Machine Learning to Visualization

What it is about

You will learn Python as a tool for engineering data analysis: capturing data, cleaning, visualizing, and creating simple models. In the end you will be able to analyze typical lab and research data with Python, generate 2D/3D representations, and assess the possibilities and limitations of simple statistical and ML methods.

What you will be able to do

• solve algorithmic problems with Python
• apply fundamental tasks of data analysis and statistics
• use Python tools for 2D and 3D visualization
• understand different methods for data modeling (e.g. linear regression, neural networks)
• recognize the possibilities and limitations of the methods

What the module consists of

• Tutorienweekly exercises for practical application and supervision
• Abschlussprojektapplication of a larger part of the methods to a self-chosen research task

Teaching method

• Inverted Classroomtheoretical foundations are prepared and applied practically in the tutorial
• electronic materials (presentations, video recordings)support for self-study and preparation for exercises
• exercises and homeworkpractice the practical application
• lecturer supervisionclarify questions and provide help with implementation