Machine Learning

Dear students,

we have now uploaded the scores of the main exam. Find a table showing the translation of scores to grades under materials.

The final grades for the course, which will be influenced by the results of the challenge report, will be uploaded on LSF later.

Due to the challenging time constraints during the exam, we reduced the maximal score to 65 points (as in the mock exam). The passing threshold is at 32 points, which is 50% of 65 points. This leads to a passing percentage of 53.7% among the students who correctly solved Problem 1 (a) and (b), which only required elementary knowledge of the prerequisites of the course (and no special ML skills). Among all participants, the passing percentage is 19.2%.

The date for the exam inspection is next week on Thursday. The room an precise timing will be given in the beginning of next week.

Best,

ML Team

Dear participants of the Main Exam,

here are the final instructions for the main exam on 21.07.2025:
- Read the following carefully !
- Students with family name starting with A -- G must wait in front of lecture hall HS002 in E1.3 at 9.15 o'clock.
- Students with family name starting with H -- Z must wait in front of Guenter--Hotz lecture hall E2.2 at 9.15 o'clock.
- The duration of the exam is 120 minutes. 
- The exam is open book, which means that you may bring and use any (non-digital) material. You are not allowed to use any digital device or material. Your mobile phones, smart watches and the like must be switched off. Any attempt to cheat will result in the grade "failed" (5.0). This already includes the possession of forbidden material.

Required items:
- Student ID card.
- Non-erasable pen. 
- Extra sheets of paper to make notes (to be submitted after the exam!).

Admitted items:
- Something to drink.
- Printed course material and handwritten notes.

We will ask you to enter the lecture hall (around 9.15 o'clock):
- Place your bag and any other material that is not admitted at the walls of the lecture hall.
- Take a seat where an exam sheet is placed. (Do not open the exam sheet !)
- Put your material on the desk. At all times, all material must be on the desk (not on neighboring chairs or below the desk !)
- Put your Student-ID card in front of you on the desk. (We check during the exam.) 
- It is forbidden to copy the exam questions !

When all students are placed, we provide some additional instructions and officially start the exam (120 minutes). 

During the exam,
- stay at your seat and focus on solving the exam questions. 
- Raise your hand, if you have a question.
- Raise your hand, if you need to go to the restroom. (We have to note the timing.)

After the time of the exam has passed, 
- stay at your seat until we have collected all exams and notes that you have written during the exam. 
- Then the exam is over.
 

All the best,

ML-Team

Dear Students,

You are kindly invited to evaluate the Machine Learning lecture and exercise using the links provided below. Your feedback helps us to improve the course.

Please note that the evaluation will be available until July 6, 2025 (inclusive).

Best regards,
ML-Team

 

Course Title: Machine Learning - Exercise (1564411)
Evaluation Link: https://qualis.uni-saarland.de/eva/?l=1564411&p=8osr8c
Available until (inclusive): 06/07/2025

Course Title: Machine Learning - Lecture (156441)
Evaluation Link: https://qualis.uni-saarland.de/eva/?l=156441&p=s5a79t
Available until (inclusive): 06/07/2025

Due to the public holiday on June 9th, there will be no tutorials on that day. Instead, we are offering an additional tutorial on Tuesday, June 10th, at 8:15 AM in lecture hall HS001, building E1.3.
We kindly ask all students from the Monday tutorials to attend this or one of the other available tutorial sessions during the week.

Tutorials

Due to the public holiday on April 21st, there will be no tutorials on that day. Instead, we offer an additional tutorial on Tuesday, April 22nd, at 8:15 in lecture hall HS001.
We kindly ask all students from the Monday tutorials to attend one of the other available tutorial sessions during the week.

SMART Hour

Please note the following changes regarding the SMART Hour:

• Due to the public holiday, the SMART Hour originally scheduled for April 18th will be moved to April 16th at 12:15 in Günter-Hotz lecture hall.

• On April 25th, the SMART Hour will take place in lecture hall HS II in building E.2.5.