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Introductory Applied Machine Learning

29/05/2017 07:47:57, theon, Refresh, Feedback

Course Details

TitleIntroductory Applied Machine Learning
School AcronymIAML
Level10
Points20
Normal Year Taken3
Delivery PeriodS1
Exam/Work Weighting75% / 25%
School Course Pagehttp://www.inf.ed.ac.uk/teaching/courses/iaml
University Course PageINFR10069

Staff and Groups

The following staff are associated with this course. Please use the authenticated links below to access full group membership information, including group times, venue information and mailing lists:
Tutorial Groups

Course Lecturer(s)
NameEmailOfficePhone
N Goddard Nigel.Goddard@ed.ac.uk IF-2.26 513091
Teaching Support
Demonstrator A Davies
Demonstrator A Krasoulis
Demonstrator D Tailor
Demonstrator M Strelec
Demonstrator R Singh
Demonstrator S Angelidis
Marker A Davies
Marker M Pajak
Marker R Singh
Marker S Angelidis
Marker Y Huang
Teaching Assistant A Krasoulis
Teaching Assistant J Owers
Tutor A Davies
Tutor A Krasoulis
Tutor M Pajak
Tutor M Zhong
Tutor N Goddard
Tutor S Angelidis
Tutor Y Huang
Admin Support
Please use the ISS Contact Form to contact admin support
UG3 Year Secretary V Swann

Lecture Times

Please see the Web Timetable link on the DRPS page.

Coursework Assignments

The following coursework is associated with this course:

Tag Title Type Assessed? Out of Worth
1 Assignment 1 Practical Yes 100 10%
4 Asssignment 4 Practical Yes 100 30%
2 Assignment 2 Practical Yes 100 30%
3 Assignment 3 Practical Yes 100 30%

Deadlines & Feedback

The following coursework deadlines are associated with this course:

Tag Deadline Outcome*
Submission Feedback
1 07/10/2016 28/10/2016 1 mon 10 days late
2 24/10/2016 04/11/2016 1 mon 3 days late
3 07/11/2016 18/11/2016 19 days late
4 28/11/2016 12/12/2017 11 mons early

*The Outcome will show the number of days early or late (from the "Feedback" deadline) that feedback, or marks and feedback, was distributed to the students.


University guidelines require Schools to provide feedback on all formative coursework assignments within three weeks of the submission deadline. If the marking deadlines for summative (for-credit) coursework given above exceed this period, the course involves very large amounts of marking and the course team has been given permission to advertise a longer marking period. Please contact ito@inf.ed.ac.uk for further information.