392181 Tutorium B: Maschinelles Lernen im Web (Ü) (WiSe 2024/2025)

Contents, comment

No comment available

Requirements for participation, required level

Grundkenntnisse im Bereich Algorithmen und Datenstrukturen sowie Mathematik werden empfohlen

foundations in computer science and math, programming skills

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  
weekly Do 16-18 T2-208 07.10.2024-31.01.2025
not on: 12/19/24 / 12/26/24 / 1/2/25
einmalig am 19.12.2024 in U2-139
one-time Do 16-20 C2-144 19.12.2024 einmalig am 19.12.2024 in U2-139

Hide passed dates <<

Subject assignments

Module Course Requirements  
39-Inf-AKS Anwendungen Kognitiver Systeme Maschinelles Lernen im Web oder Modern Data Analysis oder Softcomputing für die Bioinformatik Student information
39-Inf-WP-DS Data Science (Basis) Begleitende Übungen Student information
39-Inf-WP-DS-x Data Science (Schwerpunkt) Begleitende Veranstaltung Seminar o. Übung Student information
39-Inf-WP-KI Künstliche Intelligenz (Basis) Begleitende Übungen Student information
39-Inf-WP-KI-x Künstliche Intelligenz (Schwerpunkt) Begleitende Veranstaltung Seminar o. Übung Student information
39-M-Inf-AI-bas Basics of Artificial Intelligence Basics of Artificial Intelligence: Übung Student information
39-M-Inf-INT-app-foc Applied Interaction Technology (focus) Applied Interaction Technology (focus): Übung Student information
39-M-Inf-INT-bas Basics of Interaction Technology Basics of Interaction Technology: Übung Student information

The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.


Erfolgreiches Bearbeiten der Übungen (2LP) sowie mündliche Prüfung (3LP)

exercises (2LP) and exam (3LP)

E-Learning Space
E-Learning Space
Moodle Courses
Moodle Courses
Address:
WS2024_392181@ekvv.uni-bielefeld.de
This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_492481563@ekvv.uni-bielefeld.de
Notes:
Additional notes on the electronic mailing lists
Email archive
Number of entries 5
Open email archive
Last update basic details/teaching staff:
Saturday, September 21, 2024 
Last update times:
Friday, November 29, 2024 
Last update rooms:
Friday, November 29, 2024 
Type(s) / SWS (hours per week per semester)
exercise (Ü) / 2
Department
Faculty of Technology
Questions or corrections?
Questions or correction requests for this course?
Planning support
Clashing dates for this course
Links to this course
If you want to set links to this course page, please use one of the following links. Do not use the link shown in your browser!
The following link includes the course ID and is always unique:
https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=492481563
Send page to mobile
Click to open QR code
Scan QR code: Enlarge QR code
ID
492481563