News
Overview of 1st lectures, homeworks and remote participationWritten on 27.10.25 by Isabel Valera Dear all, Unfortunately we suffered some technical problems last Thursday that made difficult to record the 1st lecture. I hope I will be able to record the following lectures. We will share the available links in the material section. As for now, please recall to i) self assess your background… Read more Dear all, Unfortunately we suffered some technical problems last Thursday that made difficult to record the 1st lecture. I hope I will be able to record the following lectures. We will share the available links in the material section. As for now, please recall to i) self assess your background using exercise sheet 0; ii) check the slides L00-L02 available in the material section; and iii) read chapters 1-3.1 from the ISLP book. I will reply to doubts during the lecture on Thursday. For additional questions or for those unable to attend the lecture, please remember to use the forum as communication channel. Best regards and see you all (hopefully without more technical challenges) on Thursday, Prof. Valera
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Modification in Rooms for Wednesday TutorialsWritten on 27.10.25 by Kavya Gupta Dear Students, Thank you for your understanding. Best, |
Tutorial: Assignment & Agenda for Next WeekWritten on 24.10.25 by Aiman Al-Azazi Dear EML students, We have assigned you to tutorial groups based on your preferences. You can find your assigned tutorial slot on your Personal Status. To make the tutorials more effective and organized, we will share a list of problems to be discussed each week. Tutors will go through each… Read more Dear EML students, We have assigned you to tutorial groups based on your preferences. You can find your assigned tutorial slot on your Personal Status. To make the tutorials more effective and organized, we will share a list of problems to be discussed each week. Tutors will go through each problem during the session, but we strongly encourage you to attempt them beforehand and bring any questions you may have to the tutorial. For next week, we will focus on Problems 1, 2, 3, and, if time allows, Problem 4 from Exercise Sheet #1. Best regards, |
Important Information - Organizational detailsWritten on 16.10.25 by Kavya Gupta Dear Students, We have uploaded the organization slides for you to review. We will briefly go over them again in next week’s lecture. Course Registration:
Dear Students, We have uploaded the organization slides for you to review. We will briefly go over them again in next week’s lecture. Course Registration:
Exercise Sheet 0: We also advice you to join course FORUM for any queries and questions. Thank you for your attention. Best regards,
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Lecture Cancelled - 16th OctoberWritten on 16.10.25 by Kavya Gupta Dear Students, Due to unforeseen circumstances, today’s lecture has been cancelled. We apologize for the short notice and any inconvenience this may cause. We look forward to seeing you all next week for our next session. Thank you for your understanding. Best regards
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Elements of Machine Learning
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Summary
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In this course we will discuss the foundations – the elements – of machine learning. In particular, we will focus on the ability of, given a data set, to choose an appropriate method for analyzing it, to select the appropriate parameters for the model generated by that method, and to assess the quality of the resulting model. Both theoretical and practical aspects will be covered. Lectures will start on October 16th! |
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Prerequisites
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The course is targeted at students in computer science, data science and AI, cybersecurity, bioinformatics, math, and general sciences with a mathematical background. Students should know the basics of programming, proof techniques, linear algebra, and statistics, for example by having taken Programming I and II (for programming), Mathematics for Computer Scientists I and II (for linear algebra), and then either Statistics Lab or Mathematics for Computer Scientists III (for statistics). |
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Type |
Basic Lecture (6 ECTS) for BSc DSAI, CySec, and Computer Science; Advanced Lecture (6 ECTS) for all others except for the M.Sc. Cybersecurity. |
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| Lecturers | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lectures |
Thursdays, 16–18 o'clock in person in E.2.2 Lecture Hall 0.01 (Günter Hotz Hörsaal). Lectures will be recorded and shared. |
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| Assignments |
5 assignment sheets, including theoretical and programming exercises. |
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Tutorials
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All tutorials will be in person. |
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| Exams | Main Exam - 14-17h, 19th February, 2026 (Duration: 120 minutes) Re-exam - 14-17h, 19th March, 2026 (Duration: 120 minutes) |
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Office Hours
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Prof. Dr. Isabel Valera and Dr. Kavya Gupta: before/after each lecture |
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Language |
English |
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| Schedule |
Tentative Schedule of the Lectures.
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