Machine Learning (SS 2026)

Dear students,

Given the number of students registered for the mid-term exam, we have decided to split the exam into two time slots:

• Slot 1: 12:00–13:00

• Slot 2: 13:00–14:00

Students have been assigned to the slots based on their matriculation numbers (in descending order):

• Slot 1 (12:00): students with matriculation numbers between 7090574 and 7068939 (both inclusive)

• Slot 2 (13:00): students with matriculation numbers between 7068797 and 2500789 (both inclusive)

You can find the complete student lists and seating plans in the “Organization” folder under the course materials.

Please note that the exam itself will last 30 minutes.

To hand in your exam, you must present either your student card or another valid photo ID for verification. You will also need to provide your matriculation number.

Remember that this exam is closed-book. No cheat sheets or additional materials are permitted. However, the use of a non-programmable scientific calculator is allowed.

If you have any questions, please contact us via the forum.

Best regards,
ML Team

Dear students,

There has been some confusion regarding the tutorial schedule for the next two weeks. The team has decided to proceed with tutorials next week, so you will have the opportunity to ask questions before the mid-term. To clarify:

• Next week, we will cover Programming 2 and hold a Q&A session on the mock exam and mid-term exam.
• In the week after the mid-term exam (week of May 25th), there will be no tutorials.
• We will resume weekly tutorials in the week of June 1st.

Best regards,

ML team

Dear students,

We have uploaded a mock exam together with solutions to help you prepare for next week’s mid-term (admission) exam. You can find the materials in the “Exam preparation” folder. We hope this helps you!

Please keep in mind that the mock exam questions are intended solely as preparation material and do not define the exact scope or content of the exam, so do not overfit to them! All topics covered in lectures, tutorials, and the shared course materials from Blocks I and II are considered part of the exam content.

Also, please remember to register on CMS if you plan to take the mid-term exam (no registration in LSF is necessary).

Best,
ML team

Dear ML'26 students,

As you know the mid-term (admission) exam is approaching. We have now open the registration on CMS Not registration on LSF necessary).  Please register until May 15, 23:59 (German time) for the mid-term (admission exam) if you intend to officially participate in the lecture, via the registration page: https://cms.sic.saarland/ml26/registration_items

Passing the mid-term exam is a mandatory requirement for admission to the final exam and the re-exam. Students who do not take or do not pass the mid-term exam will not be eligible to participate in the final exam.  

Information on the mid-term (admission) exam format:

• The exam duration will be approximately 30 minutes and will take place within the 12:00–14:00 time slot on May 21st. The exact starting time of exam will be communicated to students after registration.
• The exam will consist of a multiple-choice test with a total of 15 questions, worth 20 points overall.
• The passing grade, i.e., the admission threshold, is 10 out of 20 points.
• Each question will have at least one correct answer. Full points for a question will only be awarded if all correct answers are selected. Partially correct or incomplete answers will receive zero points. There is no penalty for incorrect answers.
• Please note that this is an ungraded exam. Its sole purpose is to determine eligibility for participation in the lecture and admission to the final exam (and re-exam).
• The exam will include both numerical and conceptual questions covering Blocks I and II. All material discussed in lectures, tutorials, and shared course materials from these blocks is considered part of the exam content.
• The exam will be close-book. We will provide equations when needed, but you are expected to recognize and understand the key formulas introduced in the course. 

Next week, we will share a set of sample exam-style questions to help students prepare for the exam.

For any question, please come to the lectures or ping us in the Forum. 

Best regards,

Prof. Valera

 

Dear students,

We have released the Exercise Sheet 2.1 and 2.2 and Programming Tutorial 2.1 and 2.2 for the second block. Next week (from 4 May) we will start with Sheet 2.1 and the following week (11 May) Sheet 2.2. In the third week (18 May) we will cover both programming exercises.

Have a nice day!

Your ML Team

Dear all,

Welcome to the Machine Learning lecture of the SoSe26. As you may know, the lecture will start at 2.15pm in the GHH on April 13, when I will also share the organizational details of the course. 

In the meantime, we have uploaded some background materials for you to revise and get ready for the course content. You can also see the tentative schedule for the course at the bottom of the page. 

See you on Monday,

Prof. Isabel Valera