Postgraduate Course: Credits Awarded for Taught Courses [University of Glasgow] Deep Learning (M) COMPSCI15085 (FREN11062)

Course Outline
School	Edinburgh Medical School	College	College of Medicine and Veterinary Medicine
Credit level (Normal year taken)	SCQF Level 11 (Postgraduate)	Availability	Not available to visiting students
SCQF Credits	10	ECTS Credits	5
Summary	This is a placeholder course, designed to record marks for the University of Glasgow part of the programme, PRPHDISPME1F: Precision Medicine (PhD with Integrated Study)
Course description	Please see [University of Glasgow] Deep Learning (M) COMPSCI15085 for Components of Assessment

Entry Requirements (not applicable to Visiting Students)
Pre-requisites		Co-requisites
Prohibited Combinations		Other requirements	None

Course Delivery Information
Not being delivered

Learning Outcomes
On completion of this course, the student will be able to: Understand the major technology trends in advanced machine learning Build, train and apply fully connected deep neural networks Know how to implement efficient, vectorised neural networks in python and understand the underlying backends Apply deep learning methods to new applications Understand the machine learning pipeline, and engineering aspects of training data collation, and the importance of unlabelled data