Advanced Practical Course - Application Challenges for Machine Learning on IBM Power Architecture (IN2128, IN2106, IN212810)
Course 0000003522 in WS 2021/2
General Data
Course Type | practical training |
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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 |
8 singular or moved dates |
Assignment to Modules
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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 | |
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Links | TUMonline entry |
Equivalent Courses (e. g. in other semesters)
Semester | Title | Lecturers | Dates |
---|---|---|---|
WS 2020/1 | Advanced Practical Course - Application Challenges for Machine Learning on IBM Power Architecture (IN2128, IN2106, IN212810) | Fuchs, S. Wittges, H. |
singular or moved dates |
WS 2019/20 | Advanced Practical Course - Application Challenges for Machine Learning on the Example of IBM Power AI (IN2128, IN2106, IN212810) |
Kienegger, H.
Levkovskyi, B.
Pfaff, M.
Rank, J.
Responsible/Coordination: Krcmar, H. |
Tue, 09:00–16:00, MI 01.13.034 Mon, 09:00–13:00, MI 01.13.034 and singular or moved dates |