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The course is designed around a data modeling framework shown in the figure. Each lecture/assignment will focus on a subset of the data modeling framework.
We emphasize the holistic view of modeling in order to motivate and stress the relevance of individual components and building blocks, disseminate the obtained competence (see the course learning objectives), and make them applicable for a broad spectrum of engineering problems in e.g. biomedical engineering, chemistry, electrical engineering, and informatics.
If you are enrolled in the course you can access material and participate in the course through the DTU Learn homepage.
The lectures will take place in Building 116 auditorium 81 on Tuesdays from 13:00-15:00.
Due to restrictions on the auditorium capacity, we will stream the lecture to Building 116 auditorium 82. Seats in Building 116 auditorium 81 and Building 116 auditorium 82 will be allocated on a first come, first served principle. You can use the rooms allocated to exercises to stream the lecture yourself (Zoom link on DTU Learn).
We will record the lecture and make available online on DTU Learn.
Exercises will take place after lectures Tuesdays from 15:00-17:00.
There is room capacity for all signed up students at the exercises every week.
Please bring a laptop computer for the exercises. The exercises will be available in Python. The exercise rooms are (room capacity square brackets and programming language in parentheses):
| Week | Date | Who | Subject | Reading | Homework | Project deadlines (17:00 CET via DTU Learn) |
|---|---|---|---|---|---|---|
| 1 | 3 February, 2026 | bjje | Introduction, data, and visualization | C1, C2, C7 | P2.1, P7.1 | A1 due 26 February |
| 2 | 10 February, 2026 | bjje | Summary statistics, similarity, and nearest neighbor | C4, C12 | P4.2, P4.3, P4.5, P12.1 | A2 due 26 February |
| 3 | 17 February, 2026 | bjje | Computational linear algebra and PCA | C3 | P3.1, P3.2 | A3 due 26 February |
| 4 | 24 February, 2026 | bjje | Probability theory, Bayes and Naïve Bayes | C5, C6, C13 | P5.1, P6.1, P6.2, P13.1, P13.2 | A4 due 19 March |
| 5 | 3 March, 2026 | bjje | Bayesian Inference and Linear Models | C6.4, C8 | P8.1, P8.2 | A5 due 19 March |
| 6 | 10 March, 2026 | bjje | Decision trees, overfitting and cross-validation | C9, C10 | P9.1, P9.2, P10.1, P10.2 | A6 due 19 March |
| 7 | 17 March, 2026 | bjje | Performance evaluation and AUC | C11, C16 | P16.1, P16.2 | A7 due 16 April |
| 8 | 24 March, 2026 | bjje | Artificial Neural Networks and Optimization | C15 | P15.1, P15.2, P15.3 | A8 due 16 April |
| Holiday | ||||||
| 9 | 7 April, 2026 | bjje | Bias/Variance and Ensemble methods | C14, C17 | P17.1 | A9 due 16 April |
| 10 | 14 April, 2026 | gear | K-means and hierarchical clustering | C18 | P18.1, P18.2, P18.3 | A10 due 10 May |
| 11 | 21 April, 2026 | gear | Mixture models and density estimation | C19, C20 | P20.1, P19.1, P19.2 | A11 due 10 May |
| 12 | 28 April, 2026 | gear | Representation learning | See DTU Learn | A12 due 10 May | |
| 13 | 5 May, 2026 | bjje | Recap and discussion of the exam | C1-C20 |
(Cx refers to Chapter x of the course notes. Px.y refers to problem number y in chapter x of the course notes. Ax refers to assignment in week x.
The first listed problem will be that weeks discussion question at the exercises.)
We recommend you talk to the Study Guidance office and possibly the head of study on your degree programme to work out if you should take the 02451 (BSc) or 02452 (MSc) course and/or exam.
See the course handbook for details (the grade is based on an overall assessment of a written exam and assignments)
There are 12 assignments, and a specific number (see the course handbook on DTU Learn) of these would need to be approved for you to be able to pass the course. The evaluation of the assignments count towards the final grade.
We typically enable access to the material via DTU Learn one week before the semester starts.
The exam date is available from DTU's exam timetable: https://www.dtu.dk/english/education/examination-timetable - look for the timeslots found here: https://kurser.dtu.dk/course/02451 (note special day). Once determined, the time and place will be available from: https://eksamensplan.dtu.dk/. We do not get any of this information before you do, nor do we have any influence on the date, time, or place.
The lectures and exercises are not mandatory thus we do not take attendance. Individual assignments and written exams are the only mandatory elements to pass the course (see details elsewhere).
Questions about course content/assignments are best asked on the discussion forum so all students have access to the same information.
Please e-mail or phone the main teacher listed above. Questions about the course material should ideally be posted on Piazza.
We can (and will!) add you to the DTU Learn group so you can see the material, but to officially join the course (and be at the exam) you have to enrol and be able to submit the assignments by the official deadlines - you will not be granted any extensions. You can enrol through your DTU study planner. If the study planner does not work, you have to contact the study administration by email.
Yes. Old assignments - and reports from 02450 - are transferred by default (see course handbook). Note that, assignments must be passed/approved before you will be able to pass the course. You can email the main teacher, if you are in doubt whether your report/assignments were approved/passed.
Assignments are not graded but evaluated. According to DTU rules, we cannot give you a numerical score. However, the feedback from TAs should provide a good indication of your performance. The feedback will explicitly state if your assignments are passed/approved.
Under normal circumstances, feedback should be available 2 weeks after the deadline of the assignment. However, as this is a new setup for the Spring 2026 there may be some delays.
Yes. You need to get a certain number of assignments approved to be able to pass the course. All assignments count towards the final grade.
Probably not. We only give extensions in extraordinary circumstances. Poor time management does not count as a valid reason especially given the flexible submission deadlines. We expect any issues to be flagged early on.
No; because we want students to engage with the course, other students, TAs and the material throughout the semester.
You will receive feedback via DTU Learn which will clearly state if your assignments were passed/approved.
No. The only exception is if you submitted your assignment/report in a previous semester (i.e. you did not pass the course).
No. The only exception is if you submitted your assignment/report in a previous semester (i.e. you did not pass the course).
We are reasonable if you are handing in late due to extraordinary circumstances, but otherwise, we take the deadline seriously. It would not be fair to all those students who meet the deadline if we accepted late hand-ins without consequences. Unless extraordinary reasons have been agreed upon with the main teacher in advance, we will not accept late submissions.
No! The exam is a paper-based with no aids (see question above). Note that any electronic device is not permitted.
Please look at the official FAQ about exams: https://www.inside.dtu.dk/da/undervisning/regler/regler-for-eksamen/faq-om-skriftlig-eksaminer
For the spring version of 02451, there is a re-exam in August (following exactly the same format as the exam in May).
Make sure your DTU Learn profile is set to English (for this course)
If you encounter IT problems and it appears that something is wrong with a DTU Learn page or your account please submit a ticket to the (usually very responsive) IT support: https://itservice.ait.dtu.dk
Possibly. After the course has completed, we will often make a call for teaching assistants among qualified students (sometimes also among students from previous semesters). The call will only be made if we need TAs. Pay is rather good and and there is preparation time.
Yes. You can view previous exam sets on DTU Learn (some with full solutions) and individual questions in the book (with partial solutions).
The standards of the course (previously 02450) have been the same for several years, and we intentionally maintain these standards (similar to other DTU courses). The historical grade distribution can be observed from https://kurser.dtu.dk/course/02450/info.
Very carefully read and follow the rules/guidelines on DTU Inside on exam attempts (ask the Study Guidance office if in doubt).
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