Block

Machine Learning - Foundations and Algorithms [T-INFO-111558]

Type

Written examination

Credits

Recurrence

Each summer term

Version

Responsible

Prof. Dr. Gerhard Neumann

Organisation

KIT-Fakultät für Informatik

Part of

Module Machine Learning - Foundations and Algorithms | Information Systems (M.Sc.)
Module Machine Learning - Foundations and Algorithms | Information Engineering and Management (M.Sc.)

Events

Course Number	Name	SWS	Type
SS24 2400018	Machine Learning – Foundations and Algorithms	4	lecture/exercise (VÜ)
SS23 2400018	Machine Learning – Foundations and Algorithms	3	lecture/exercise (VÜ)
WS21 2400104	Machine Learning – Foundations and Algorithms	3	lecture/exercise (VÜ)

Exams

Course Number	Name	Appointments
SS23 7500215	Machine Learning - Foundations and Algorithms	22.09.2022 - 09:00 22.09.2022 - 10:00 22.09.2022 - 11:00 22.09.2022 - 02:00 21.10.2022 - 01:00
SS23 7500215	Machine Learning - Foundations and Algorithms	23.02.2022 - 06:00
SS23 7500215	Machine Learning - Foundations and Algorithms	28.02.2024 - 08:00
SS23 7500215	Machine Learning - Foundations and Algorithms	02.03.2023 - 11:00
SS23 7500215	Machine Learning - Foundations and Algorithms	27.09.2024 - 08:00
SS23 7500215	Machine Learning - Foundations and Algorithms	28.09.2023 - 08:00

Competence Certificate

The success control takes place in the form of a written exam, usually 90 minutes in length, according to § 4 Abs. 2 Nr. 1 SPO.

A bonus can be acquired through successful participation in the exercise as a success control of a different kind (§4(2), 3 SPO 2008) or study performance (§4(3) SPO 2015). The exact criteria for awarding a bonus will be announced at the beginning of the lecture. If the grade of the written examination is between 4.0 and 1.3, the bonus improves the grade by one grade level (0.3 or 0.4). The bonus is only valid for the main and post exams of the semester in which it was earned. After that, the grade bonus expires.

Prerequisites

none.

Recommendation

- Attendance of the lecture “Foundations of Artificial Intelligence” (“Grundlagen der Künstlichen Intelligence”)
- Knowledge in python
- Mathematics-heavy lecture. The basics will be reviewed, but mathematical proficiency is helpful