Module 39-M-Inf-MLDM-x Advanced Machine Learning and Data Mining (Focus)

Explanation regarding the elements of the module

The module is to be studied as follows:
First, students attend an introductory course (lecture or seminar) and an accompanying course (seminar or exercise), whereby the combination of seminar + seminar is excluded.
Subsequently, a first partial examination is taken. The requirements are determined by the selected course types.

In the following semester, an in-depth element in the same or a closely related subject area is studied (in-depth project, in-depth exercise, in-depth exercise (alternative) or in-depth seminar).

Alternatively, a second topic can be studied in depth, building on the first part (lecture on the second topic + exercise on the second topic). In the latter case, all courses are usually offered by the same teacher and build on each other in terms of content. The type of the subsequent second part of the examination depends on the chosen combination of course elements.

The total number of credits for the courses to be attended is 8.
The total number of credits for the two parts of the examination is 2.

Introductory lecture or seminar (seminar o. lecture)

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accompanying exercise (exercise)

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accompanying Exercise (Alternative) (exercise)

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accompanying Seminar (seminar)

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Lecture on the second topic (lecture)

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Exercise on the second topic (exercise)

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Advanced Exercise (exercise)

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Advanced Exercise (Alternative) (exercise)

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In-depth project (project)

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Advanced Seminar (seminar)

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