Key information
- Faculty
- Faculty of Engineering Sciences
- Teaching department
- Electronic and Electrical Engineering
- Credit value
- 15
- Restrictions
-
Only available to TMSIMLSSYS01, CPD and UCL Short Courses.
- Timetable
-
Alternative credit options
There are no alternative credit options available for this module.
This module will cover advanced principles and practice of machine learning systems engineering, including
deep learning, deep reinforcement learning, generative adversarial networks, and future directions in machine
learning engineering. The module will also encompass Lab sessions – based on programming
languages/platforms such as Python or R or tensorflow – so that students can learn how to apply machine
learning technology to address various advanced machine learning tasks.
Module deliveries for 2024/25 academic year
Intended teaching term:
Term 2 ÌýÌýÌý
Postgraduate (FHEQ Level 7)
Teaching and assessment
- Mode of study
- In person
- Methods of assessment
-
100%
Coursework
- Mark scheme
-
Numeric Marks
Other information
- Number of students on module in previous year
-
35
- Module leader
-
Dr Ioannis Andreopoulos
- Who to contact for more information
- eee-msc-admin@ucl.ac.uk
Last updated
This module description was last updated on 19th August 2024.
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