Physics Department, TUM | Course 0000001908 in SS 2023

General Data

Course Type

lecture with integrated exercises

Semester Weekly Hours

4 SWS

Organisational Unit

Chair of Design Automation (Prof. Wille)

Lecturers

Lorenzo Servadei
Robert Wille

Dates

Fri, 13:00–15:30, virtuell

iCalendar

	Date and Time	Room and Remark
	Fri, 2023-04-21, 13:00–15:30	Speakers: Prof. Dr.-Ing. Robert Wille, Dr.-Ing. Lorenzo Servadei
	Fri, 2023-04-28, 13:00–15:30	Speakers: Prof. Dr.-Ing. Robert Wille, Dr.-Ing. Lorenzo Servadei
	Fri, 2023-05-05, 13:00–15:30	Speakers: Prof. Dr.-Ing. Robert Wille, Dr.-Ing. Lorenzo Servadei
	Fri, 2023-05-12, 13:00–15:30	Speakers: Prof. Dr.-Ing. Robert Wille, Dr.-Ing. Lorenzo Servadei
	Fri, 2023-05-19, 13:00–15:30	Speakers: Prof. Dr.-Ing. Robert Wille, Dr.-Ing. Lorenzo Servadei
	Fri, 2023-05-26, 13:00–15:30	Speakers: Prof. Dr.-Ing. Robert Wille, Dr.-Ing. Lorenzo Servadei
	Fri, 2023-06-02, 13:00–15:30	Speakers: Prof. Dr.-Ing. Robert Wille, Dr.-Ing. Lorenzo Servadei
	Fri, 2023-06-09, 13:00–15:30	Speakers: Prof. Dr.-Ing. Robert Wille, Dr.-Ing. Lorenzo Servadei
	Fri, 2023-06-16, 13:00–15:30	Speakers: Prof. Dr.-Ing. Robert Wille, Dr.-Ing. Lorenzo Servadei
	Fri, 2023-06-23, 13:00–15:30	Speakers: Prof. Dr.-Ing. Robert Wille, Dr.-Ing. Lorenzo Servadei
	Fri, 2023-06-30, 13:00–15:30	Speakers: Prof. Dr.-Ing. Robert Wille, Dr.-Ing. Lorenzo Servadei
	Fri, 2023-07-07, 13:00–15:30	Speakers: Prof. Dr.-Ing. Robert Wille, Dr.-Ing. Lorenzo Servadei
	Fri, 2023-07-14, 13:00–15:30	Speakers: Prof. Dr.-Ing. Robert Wille, Dr.-Ing. Lorenzo Servadei
	Fri, 2023-07-21, 13:00–15:30	Speakers: Prof. Dr.-Ing. Robert Wille, Dr.-Ing. Lorenzo Servadei

Assignment to Modules

EI71040: Machine Learning: Methods and Tools / Machine Learning: Methods and Tools
This module is included in the following catalogs:
- Catalogue of non-physics elective courses

Further Information

Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.

additional remarks	SS 2021: course and exam online. Lecture, Exercises and hands-on lab Digital transformation and machine learning; Python, standard libraries, SciPY and NumPy; Theory of Machine Learning, Regularization, Errors and Noise; Data analysis, pre-processing, visualization: Introduction to algorithms of Machine Learning; Introduction to Feedforward Neural Networks and Convolutional Neural Networks, RNNs, LSTM; Training of neural networks, attention models, unsupervised learning, reinforcement learning, hyper-parameter optimization;
Links	E-Learning course (e. g. Moodle) TUMonline entry

additional remarks

SS 2021: course and exam online. **Lecture, Exercises and hands-on lab** Digital transformation and machine learning; Python, standard libraries, SciPY and NumPy; Theory of Machine Learning, Regularization, Errors and Noise; Data analysis, pre-processing, visualization: Introduction to algorithms of Machine Learning; Introduction to Feedforward Neural Networks and Convolutional Neural Networks, RNNs, LSTM; Training of neural networks, attention models, unsupervised learning, reinforcement learning, hyper-parameter optimization;

Links

E-Learning course (e. g. Moodle)
TUMonline entry

Equivalent Courses (e. g. in other semesters)

Semester	Title	Lecturers	Dates
SS 2024	Machine Learning: Methods and Tools	Servadei, L. Wille, R.	Fri, 13:00–15:30, virtuell
WS 2023/4	Machine Learning: Methods and Tools	Servadei, L. Wille, R.	Fri, 13:00–15:30, virtuell
WS 2022/3	Machine Learning: Methods and Tools	Servadei, L. Wille, R.	Fri, 13:00–15:30, virtuell
SS 2022	Machine Learning: Methods and Tools	Servadei, L. Wille, R.	Fri, 13:00–16:00
WS 2021/2	Machine Learning: Methods and Tools	Ecker, W. Sanchez Lopera, D. Servadei, L. Stahl, R. Yang, Y. Assistants: Gräb, H.	Fri, 13:00–15:45, virtuell and singular or moved dates
SS 2021	Machine Learning: Methods and Tools	Ecker, W. Servadei, L. Assistants: Gräb, H.Stahl, R.	Fri, 13:00–14:00, virtuell
WS 2020/1	Machine Learning: Methods and Tools	Ecker, W. Sanchez Lopera, D. Servadei, L. Stahl, R. Assistants: Gräb, H.
SS 2020	Machine Learning: Methods and Tools	Ecker, W. Assistants: Gräb, H.Servadei, L.Stahl, R.
WS 2019/20	Machine Learning: Methods and Tools	Ecker, W. Assistants: Gräb, H.Mettler, M.Servadei, L.
SS 2019	Machine Learning: Methods and Tools	Ecker, W. Assistants: Gräb, H.Mettler, M.
WS 2018/9	Machine Learning: Methods and Tools	Ecker, W. Assistants: Gräb, H.Mettler, M.Servadei, L.

Machine Learning: Methods and Tools

Course 0000001908 in SS 2023

General Data

Assignment to Modules

Further Information

Equivalent Courses (e. g. in other semesters)