Elements of Data Science and Artificial Intelligence

Dear all,

The re-exam will take place on April 3, 10:00-12:00, at Günter-Hotz-Hörsaal.

The re-exam registration is open now. Please register in both the LSF and CMS systems by March 27, 2024.

We have decided to offer the re-exam questions in either English or German. Please specify your preferred exam language for the questions upon registration on CMS. English will be used by default if you don't specify it. During the exam, you can still answer the questions either in German or English.

 

Time: 21. February 2023 10:00 a.m.
Location: Günter-Hotz-Hörsaal

• Please bring your student card or any valid ID to the exam.
• The exam is 120 minutes long and the maximum point is 100.
• You cannot use any books, printouts of slides, electronic devices, and cell phones or smartwatches must be turned off.
• You can bring two A4 pages of notes hand-written on both sides (no printouts, no assignment sheets, no carbon copies).
• The questions will be in English and German and you can answer either in German or English.
• You should bring a non-programmable calculator.
• You have to use a non-erasable pen with black or blue ink.

The exam will consist of 20 points from each of the four series of lectures, plus 20 points of multiple-choice questions on all four main topics. The multiple-choice questions are in the same format as those you have seen in Assignments 8 and 9.

Dear all,

 

Thank you to everyone who submitted questions for tomorrow's Q&A session. Based on the received requests, we will discuss the following topics tomorrow:

- Demonstrate Backpropagation on a Fully-Connected Network

- Explain the Convolution Operation

- Explain K-Nearest Neighbors

 

Best,

Fan

Dear students

I just uploaded the slides as well as a recording from a previous iteration of the last self driving lecture that is scheduled for Monday, Feb 5th

The reason that I uploaded the recording is that - unfortunately - I won't be able to give the lecture on Monday. Very sorry for that. 

Please note, that the material of this particular lecture will be not relevant for the exam this year. In case you have questions when watching the recording - please do not hesitiate to reach out to me

cheers

Bernt Schiele

 

Dear all,

 

In order to take the first written exam, please register in both the LSF and CMS systems by Feb. 14, 2024. The only exception is if you are from a program that cannot register in LSF (e.g. Erasmus students), in which case you only need to register in the CMS system by Feb. 14, 2024.

 

• LSF registration:
  • You need to register with your Saarland University credentials through the LSF system for the exam. You are responsible for respecting the deadlines of LSF exam registration yourself.
  • Please go to https://www.lsf.uni-saarland.de/qisserver/rds?state=user&type=0 and apply for the exam of Elements of Data Science and Artificial Intelligence. Depending on your study program, EDSAI may appear under different categories.
• CMS registration:
  • Please go to your personal page and click on register for the End-of-Term Exam. You need to collect at least 100 points from the assignments and have at most two assignment sheets with 0 points, to be admitted to the exam.

 

Dear all,

The last lecture on Feb. 8 will be a Q&A session for you to ask questions related to the topics covered in our course. Please submit your questions via this link. Please be specific and provide context to help understand your questions better. You can submit multiple questions in one section. The question submission deadline is at 12pm on Feb. 7.

Dear all,

Please take some time to fill in the Qualis survey for us.

Here is the link: 

https://qualis.uni-saarland.de/eva/?l=146369&p=su8b0s (for the lecture)

https://qualis.uni-saarland.de/eva/?l=1463691&p=mpyewz (for the tutorial)

The deadline to submit the survey is 31.01.2024.

Dear all,

The assignment sheets will be handed in groups of two or three students. Please register your team grouping on the CMS, and the deadline is 10th November.

The first tutorial starts from next week. The tutorials of the first two weeks will be about installing the VMs, you can choose to come at either one.

Our office hour sessions will start next week as well (E1.3 SR016 Thu 10-12 and E1.1 SR206 Tue 12-14).