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Introductory Applied Machine Learning (Business School)

13/12/2019 07:47:07, theon, Refresh, Feedback

Course Details

TitleIntroductory Applied Machine Learning (Business School)
School AcronymIAML-PG2
Normal Year Taken5
Delivery PeriodS2
Exam/Work Weightingunknown% / unknown%
School Course Page
University Course PageINFR11182

Staff and Groups

The following staff are associated with this course.

Course Lecturer(s)
Tiejun Ma IF-3.47A 515642
Teaching Support
Admin Support
Please use the ISS Contact Form to contact admin support

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
CWA Untitled Practical Yes 100 0%
CWB Untitled Practical Yes 100 25%

Deadlines & Feedback

The following coursework deadlines are associated with this course:

Tag Deadline Outcome*
Submission Feedback

*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 for further information.