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Computer Science

Faculty of Engineering, LTH

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EDAN95 - Applied Machine Learning

Welcome on the website for EDAN95, Applied Machine Learning. 

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

2019-09-25: Judging from the number of students who have registered preliminarily to the course, we will most likely need to make use of the ranking rules for admission, i.e., there will be a waiting list and most likely students who cannot get in even this year. The limitation for places is mainly due to a limited number of lab sessions (and seats in these) that we can offer, so the limit is quite firm. This means also, that the chances to get in for you who registered through a program that does not formally list the course are slim as you will be in the tail of the waiting list. As soon as the preliminary registration period terminates, we'll know more! 

2019-09-16: 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 passed the two basic courses in programming techniques or something directly corresponding and you will then be ranked according to the number of credits you have been granted within the program you are applying through. 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.

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.