Mathematical Sciences

Lund University

Machine Learning

Schedule, see

https://se.timeedit.net/web/lu/db1/lth1/ri1Xb0gQ2560YZQQ55Z677fY0cy70073n5Y55Q644f56ZZQ6Qfc.html#

Course email: ml-2016@maths.lth.se

Send all course correspondence (but not the assignments!) to the above email not to our personal emails (will not be able to answer) - Please, use this address only sparingly for exceptional communication -- best use MoodleAssessment:

Compulsory assignments including computer work and written reports. Approved results on these are enough to pass the course. For those who wish a higher grade there will be a written exam on December 13, from 8 to 10 a.m.

Throughout the course Moodle (http://moodle.maths.lth.se) will be used to post lecture slides and assignments. Moodle will also be used for grading and feedback.

Getting started with Moodle

  1. Create an account in Moodle at http://moodle.maths.lth.se/login/signup.php providing your full name as stated in Ladok. Enter your first name and any middle names in the field ‘First name’. Please use your student id (in the format tfy12xyz, also used for login in Ladok) as your username in Moodle.
  2. Enroll to the course by navigating to (Moodlepages Autumn 2016>Machine Learning 2016). To enroll enter the enrollment key that was given out during the first lecture.

Enrollment in Moodle for the course will be open until the 14th November. You must be enrolled to the course in Moodle to be able to access the lecture notes and assignments. No lecture notes or assignments will be posted on this web-page.

For a quick tutorial on how to use Moodle please refer to https://docs.moodle.org/20/en/Student_tutorials and for typical problems please take a look at https://docs.moodle.org/31/en/Student_FAQ.

Course Material


Course Start

Start date:
2016-10-31

Reading periods:
Autumn, second half

Staff

Lecturer: