Physics Department, TUM | Course 0000001899 in SS 2021

General Data

Course Type

practical training

Semester Weekly Hours

6 SWS

Organisational Unit

Informatics 17 - Chair of Information Systems and Business Process Management (Prof. Rinderle-Ma)

Lecturers

Simon Fuchs
Holger Wittges

Dates

11 singular or moved dates

iCalendar

	Date and Time	Room and Remark
!	Tue, 2021-04-13, 13:00–16:00	Design Science Principles - Data Mining Process Models Speaker: Simon Fuchs M.Sc.
!	Thu, 2021-04-15, 13:00–16:00	Python Crash Course Speaker: Simon Fuchs M.Sc.
!	Tue, 2021-04-20, 13:00–16:00	Machine Learning Crash Course Speaker: Simon Fuchs M.Sc.
!	Thu, 2021-04-22, 13:00–16:00	Machine Learning Process and Challenges Speaker: Simon Fuchs M.Sc.
!	Tue, 2021-05-04, 13:00–16:00	Data Preprocessing and Visualization for ML Speaker: Simon Fuchs M.Sc.
!	Thu, 2021-05-06, 13:00–16:00	Practical Session: Numpy, Pandas, Matplotlib Speaker: Simon Fuchs M.Sc.
!	Tue, 2021-05-18, 13:00–16:00	Machine Learning with Scikit-learn Speaker: Simon Fuchs M.Sc.
!	Thu, 2021-05-20, 13:00–16:00	AI Ethics Speaker: Simon Fuchs M.Sc.
!	Tue, 2021-06-01, 13:00–16:00	Evaluation Speaker: Simon Fuchs M.Sc.
!	Wed, 2021-06-02, 13:00–16:00	Practical Session: Evaluation Speaker: Simon Fuchs M.Sc.
!	Tue, 2021-06-15, 13:00–16:00	Project Kickoff Speaker: Simon Fuchs M.Sc.

Assignment to Modules

IN2106: Master-Praktikum / Advanced Practical Course
This module is included in the following catalogs:
- Further Modules from Other Disciplines

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	Artificial intelligence and machine learning are the most growing topics of our time. Self-learning algorithms, trained systems and semi-autonomous data evaluation enable companies to benefit from their company data like never before. The steadily increasing data growth combined with the ever shorter becoming time for software product releases in particular requires ever more effective and efficient data analyzes. Learning algorithms are already influencing our working world and our leisure time. In this praktikum we want to deal with the basics of machine learning. In addition, we want to practice an entire machine learning pipeline and carry out our own short ML project based on practically relevant problems. If you have any questions about the praktikum, do not hesitate to write an e-mail to the organizers of this praktikum. Note: Registration takes place via the new matching system. You can find information on this at: http://docmatching.in.tum.de/. Additionally, a form must also be filled out. You can find it at: https://forms.gle/jj9MmQ9isd9BnfKW8 The form is open from 27th January to 16th February 2021.
Links	E-Learning course (e. g. Moodle) TUMonline entry

additional remarks

Artificial intelligence and machine learning are the most growing topics of our time. Self-learning algorithms, trained systems and semi-autonomous data evaluation enable companies to benefit from their company data like never before. The steadily increasing data growth combined with the ever shorter becoming time for software product releases in particular requires ever more effective and efficient data analyzes. Learning algorithms are already influencing our working world and our leisure time. In this praktikum we want to deal with the basics of machine learning. In addition, we want to practice an entire machine learning pipeline and carry out our own short ML project based on practically relevant problems. If you have any questions about the praktikum, do not hesitate to write an e-mail to the organizers of this praktikum. Note: Registration takes place via the new matching system. You can find information on this at: http://docmatching.in.tum.de/. Additionally, a form must also be filled out. You can find it at: https://forms.gle/jj9MmQ9isd9BnfKW8 The form is open from 27th January to 16th February 2021.

Links

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

This website is no longer updated.

Advanced Practical Course - Machine Learning for Information Systems Students (IN2106, IN2128, IN212812)

Course 0000001899 in SS 2021

General Data

Assignment to Modules

Further Information