Practical Machine Learning
SUM401N

Course Code
SUM401N
Teaching dates
Session 2: 18 July – 5 August 2022
Course workload
150 hours (of which 45 will be contact hours)
School
School of Physics and Astronomy
Credit value
15
Credit level
4
Pre-requisites
Computers and mathematical concepts. We will teach you what you need to know about Python and the TensorFlowTM app during the course, along with an overview of deep learning concepts
Assessment
Continuous in-class practical skills assessment (25%), continuous portfolio assessment (50%), oral assessment (25%)