Computer Science

Faculty of Engineering, LTH

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EDAN95 - Applied Machine Learning

Welcome on the website for EDAN95, Applied Machine Learning. 


The course has moved to Canvas. Public information is to be found here. Access to course material and links to lectures are subject to agreement with the course teachers. Contact the course responsible for more information.

News and information will in general be placed here in reversed chronological order, i.e., new items on top. 

Covid-19 adaptation of the course:

2020-09-14: Lectures will be held in zoom, contact with TAs in exercise / lab sessions will be online and most likely be handled in Discord. In addition, we will most likely use Canvas as the overall course platform to distribute information and course material as well as to give you a platform for discussion with teachers and peers. We will also keep some of the originally scheduled lab hours in the computer rooms, so that those who do not have or do not want to use their own equipment can access machines with the necessary software installed.

Registration information:

2020-09-14: LADOK is open for tentative registration (anmälan) to the course. Note that prospective participants will be evaluated against two criteria before being admitted: You need to have fulfilled the prerequisites (see official course plan here) and you will then be ranked according to the number of credits you have been granted within the program you are applying through, including credited (tillgodoräknade) credit-points. Cut-off date for credits to be taken into account is Friday, October 2nd. Only credits formally registered in LADOK by that date will be considered. For HT2019, 112 students were accepted into the course. We will adapt this number slightly to the capacity of assistants, but it will be in the same order of magnitude.

For exchange students there is a slightly different procedure, you have been evaluated and approved already, as we are applying some quota for you on top of the officially posted number of places in the course.

If you want to re-register (omregistrera) to finish pending parts of the course / retake the entire course, contact administration for the formal registration and the course responsible (Elin A. Topp) personally. Your seat is safe, but we need you on the list ;-)

To avoid surprises and unnecessary work load for you or me shortly before the course starts in November, please check the official course plan for the criteria against your prerequisites. THANKS!

Course Facts

Credits: 7,5 hp

Course code: EDAN95

Study period: HT2 2019

Schedule (Time Edit): here

Course responsible:
Elin Anna Topp

Student representatives:

Formal course description from KA: Swedish or English.