227-0085-39L Projects & Seminars: Python for Science & Machine Learning
| Semester | Spring Semester 2021 |
| Lecturers | M. Magno |
| Periodicity | every semester recurring course |
| Language of instruction | English |
| Comment | Only for Electrical Engineering and Information Technology BSc. Course can only be registered for once. A repeatedly registration in a later semester is not chargeable. |
| Abstract | The category of "Laboratory Courses, Projects, Seminars" includes courses and laboratories in various formats designed to impart practical knowledge and skills. Moreover, these classes encourage independent experimentation and design, allow for explorative learning and teach the methodology of project work. |
| Learning objective | This beginner course to programming with Python - with a focus on applications in science and technology - is an ideal starting point for later courses. We will start with an introduction to the dev environment and tools for effective development to get you started. Then we will learn the basics of Python with exercises, and discover popular modules for data processing and visualisation that will be useful for your later studies and career. We conclude with an introduction to popular machine learning techniques and some time for you to implement your own small free-style projects. By the end of the semester, you will - be familiar with your PC’s command-line interface and know how to use available dev environments effectively. - have learned the basics of Python and be able to write basic programs that do what you want (most of the time) with the help of modules. - be able to process, visualize and analyze numerical data, e.g. lab measurements, images, etc. - have first experience with machine learning techniques - maintain your first git repository and know how to collaborate with others on coding projects. Language: English / German (if necessary) |