Winter Term 2023/24
All required information and all links to platforms for our courses are collected on this website. Please, do not write individual emails to the teachers, but use the online courses and platforms instead.
Bachelor:
Start date of the lecture: 24.10.2023; 14:00
Content:
Die Einführungsveranstaltung findet vorraussichtlich in Präsenz statt. Informationen zu Seminarablauf der Veranstaltung finden Sie im Moodlekurs.
Haben Sie interesse, dann schauen Sie doch einfach bei der Einführungsveranstaltung (siehe moodle) vorbei.
Links:
- Course catalogue
- Math: Moodle
- Practical: Moodle
Contact persons:
- Name: Lukas Rauch, Yujiang He
- E-Mail: lukas.rauch[at]uni-kassel[dot]de, yujiang.he[at]uni-kassel[dot]de
Start of the lecture:
Monday 23.10.2023 - 4:00 pm
Start of exercise:
Group 1: 30.10. 08:00
Group 2: 30.10. 09:00
Group 3: 31.10. 08:00
Group 4: 31.10. 09:00
Group 5: 01.11. 08:00
Group 6: 01.11. 09:00
The material of the lecture will be taught according to the teaching concept "Flipped Classroom" in the form of videos. Accompanying the videos, there will be weekly live sessions in which Prof. Sick will discuss further questions with you to deepen your understanding. In addition, there is a short summary of the material from the previous week and a preview of the material for the coming week.
The exercise sheets are provided every Monday. The solutions are uploaded one week later after the last exercise. Only presence exercises are offered in which the exercises can be discussed. Please note that every 2nd exercise sheet (exercises 2, 4, 6, 8, 10 and 12) contains assignments to be handed in. These tasks have to be handed in via Moodle until next Sunday, 23:59. In order to be admitted to the exam, at least 5 of the 6 exercises to be handed in must be passed with at least 50% of the points each (academic performance). Students who have already been admitted to the written exam in previous semesters are free to hand in the solutions again and receive a correction.
All further information and regular announcements can be found in the corresponding Moodle course.
Meeting Information
- In attendance course (offline)
- WA-Neubau (Emilien) - Raum 1603
Contact information:
Name: Minh Tuan Pham
E-Mail: stochastik[at]uni-kassel[dot]de
Start of the lecture: Tuesday 24.10.2023 - 02:00 p.m.
Start of the exercise: Tuesday 31.10.2023 - 02:00 p.m.
In this lab, students learn how to work with humanoid robots. The lab consists of the following content:
- Introduction to working with humanoid robots
- Introduction to the Robot Operating System (ROS)
- Application of algorithms from computer vision
- Getting to know and handling 3D sensors
- Introduction and application of basic machine learning algorithms
- Basics of cooperation between human-robot / robot-robot
- Enhancement of robot sensor technology for higher interaction capabilities.
The lab concludes with a group project that aims to reinforce the content learned above. Students interested in the lab should enroll in the Moodle course. The kickoff event is tentatively scheduled for October 24, 2023, at 2:00 pm.
Contact information:
Name: Kristina Dingel
E-Mail: kristina.dingel[at]uni-kassel[dot]de
Master:
Start date of the lecture: 24.10. 2023; 14:00
Content:
Die Einführungsveranstaltung findet vorraussichtlich in Präsenz statt. Informationen zu Seminarablauf der Veranstaltung finden Sie im Moodlekurs.
Haben Sie interesse, dann schauen Sie doch einfach bei der Einführungsveranstaltung (siehe moodle) vorbei.
Links:
Contact persons:
- Name: Lukas Rauch, Yujiang He
- E-Mail: lukas.rauch[at]uni-kassel[dot]de, yujiang.he[at]uni-kassel[dot]de
Start of the lecture: Tuesday 24.10.2023 - 02:00 p.m.
Start of the exercise: Tuesday 31.10.2023 - 02:00 p.m.
In this lab, students learn how to work with humanoid robots. The lab consists of the following content:
- Introduction to working with humanoid robots
- Introduction to the Robot Operating System (ROS)
- Application of algorithms from computer vision
- Getting to know and handling 3D sensors
- Introduction and application of basic machine learning algorithms
- Basics of cooperation between human-robot / robot-robot
- Enhancement of robot sensor technology for higher interaction capabilities.
The lab concludes with a group project that aims to reinforce the content learned above. Students interested in the lab should enroll in the Moodle course. The kickoff event is tentatively scheduled for October 24, 2023, at 2:00 pm.
Contact information:
Name: Kristina Dingel
E-Mail: kristina.dingel[at]uni-kassel[dot]de
Start of the lecture:
Monday the 24.10.2023 - 14:00
Start of exercise:
Wednesday the 26.10.2023 - 10:00
Meeting Information
- In attendance course (offline)
- WA-altes Gebäude (WA 73) - Hörsaal 0315, alternatively room 0303c (if number of participants permits, but the first events take place in 0315)
- Room number Exercise: Raum 0303c im Fachgebiet
Contact: Huseljic, Denis
E-Mail: dhuseljic[at]uni-kassel[dot]de
Start date of lecture: 24.10.2023 - Tue. 10:15
Start of the exercise: 25.10.2023 - Wed. 12:15
Contact person
Name: Dr.Gruhl
E-Mail: cgruhl[at]uni-kassel[dot]de
Both the lectures and the exercises take place on our laboratory 0303c.