Safety Regulations for Oncampus teaching during Winter Semester 2021/22
- Only students that are vaccinated, recovered or tested (3G rules) are allowed in the courses
- Tests should not be older than 24h and need to come from an official testing centre (no self-tests)
- Your status will be checked in the beginning of every course
- There will be the option of optional wristbands for vaccinated and recovered students to speed up the process. Please collect yours at the Main campus (N building) or opionally from the course tutor.
- All students need to check into every session in the LearnWeb system, by scanning the respective QR-Codes in the rooms. Please make sure that you Scanning App is working and able to check in
- If the required minimum distance of 1.5m cannot be guaranteed, all students and the lecturer need to wear face masks at all times (even when seated)
Zoom meetings links for Hybrid Online teaching in Winter Semester 2021/22
Instructions for Setting up Zoom
- Step 1: Open www.zoom.us.
- Step 2: Click on Signup for free.
- Step 3: Provide your date of birth.
- Step 4: Provide your university email id.
- Step 5: You will receive an email to the given email id for activating your account.
- Step 6: Join your account with the uni-hidlesheim's rechenzentrum.
- Step 7: Enter you First Name, Last Name and password details.
- Step 8: Skip inviting any colleagues.
- Step 9: You have a zoom account and ready to attend the webinars virtually.
- Step 9.5: Some lectures might require you to register your account for that meeting before you can participate. If that is the case, a registration link is posted besides the lecture.
- Step 10: In order to attend an online lecture you will need the Meeting ID, these can be found in the following table .
Meeting links
Course | Zoom Meeting ID | Time | Registration Link |
Modern Optimization Techniques - Lecture | 851 3147 8424 | Mon. 10:00-12:00 | - |
Bsc. Python Lab | 841 2368 4987 | Mon. 10:00-12:00 | - |
Machine Learning Lab Group 1 | 865 9727 2299 | Mon. 14:00-18:00 | - |
Einfuehrung in die Informatik - Lecture | 850 2417 7736 | Tue. 14:15-15:45 | Register |
Tutorial: Modern Optimization Techniques G1 | 812 5914 3870 | Tue. 08:00-10:00 | |
Oberseminar | 914 6451 8489 | Tue. 18:00-20:00 | Register |
Seminar I | 846 9369 5940 | Tue. 14:00 - 16:00 | |
Seminar II | Google Meet Link | Tue. 14:00 - 16:00 | |
Seminar III | 853 2365 0399 | Tue. 14:00 - 16:00 | Register |
Deep Learning Lab | 8827 1768 5818 | Wed. 14:00 - 18:00 | Register |
Tutorial: Modern Optimization Techniques G2 | 857 2502 9560 | Wed. 14:00 - 16:00 | |
Tutorial: Planning and Optimal Control | 842 2449 9214 | Thur. 08:00 - 10:00 | |
Machine Learning Lab Group 2 | 852 0540 6580 | Thur. 10:00 - 14:00 | Register |
Planning and Optimal Control - Lecture | 820 1267 6969 | Fri. 10:15-11:45 | Register |
Tutorial: Planning and Optimal Control (POC) | 813 1930 4089 | Fri. 10:15-11:45 | - |
Einfuehrung in die Informatik - Tutorium (08:00 Uhr) | 879 2977 5015 | Fri. 08:00-10:00 | Register |
Tutorial: Python Group 1 | 843 0790 8459 | Fri. 08:00-10:00 | |
Einfuehrung in die Informatik - Tutorium (10:00 Uhr) | 870 5101 7172 | Fri. 10:00-12:00 | Register |
Tutorial: Python Group 2 | 886 3478 0948 | Fri. 10:00-12:00 | |
Einfuehrung in die Informatik - Tutorium (12:00 Uhr) | 876 2176 6991 | Fri. 12:00-14:00 | Register |
Tutorial: Python Group 3 | 843 5782 7141 | Fri. 12:00-14:00 | |
Einfuehrung in die Informatik - Tutorium (14:00 Uhr) | 876 6459 5653 | Fri. 14:00-16:00 | Register |
Tutorial: Python Group 4 | 821 2324 2050 | Fri. 14:00-16:00 | |
Einfuehrung in die Informatik - Tutorium (16:00 Uhr) | 840 2832 4440 | Fri. 16:00-18:00 | Register |
Tutorial: Python Group 5 | 829 7031 5895 | Fri. 16:00-18:00 |