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Section for Cognitive Systems
DTU Compute

02452

Georgios Arvanitidis
Georgios Arvanitidis
 
Bjørn Sand Jensen
Bjørn Sand Jensen
 
Morten Mørup
Morten Mørup
 
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Teaching Assistants:

 

Machine Learning

The course is designed around a data modeling framework shown in the figure. Each lecture/assignment will focus a subset of the data modeling framework.

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 obejctives), and make them applicable for a broad spectrum of engineering problems in e.g. biomedical engineering, chemistry, electrical engineering, and informatics.

Resources

DTU Learn

If you are enrolled in the course you can access material and participate in the course through the DTU Learn homepage.

Lectures

The lectures will take place in on Tuesdays from 13:00-15:00.

Due to restrictions on the auditorium capacity, we will stream the lecture to . Seats in and 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).

Exercises

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):

Reading material, lecture slides and exercises

The course will use lecture notes and other freely available material. Lecture notes, slides, course assignment instructions etc. is available at the DTU learn course page (requires formal enrolment to the course).

Course description

A description of the course can be found at the DTU Coursebase

Online help and support

Online help and support is available through the discussion forum.

Teachers

Lecture schedule

Week Date Who Subject Reading Homework Project deadlines
(17:00 CET via DTU Learn)

(Cx refers to Chapter x of the course notes. Px.y refers to problem number y in chapter x of the course notes.
The first listed problem will be that weeks discussion question at the exercises.)

FAQ

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