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Machine Learning for Robotics (ELEC0144)

Key information

Faculty
Faculty of Engineering Sciences
Teaching department
Electronic and Electrical Engineering
Credit value
15
Restrictions
ENGF0003 Mathematical Modelling and Analysis 1 (or equivalent) ENGF0004 Mathematical Modelling and Analysis 2 (or equivalent) ELEC0129 Introduction to Robotics (1st Robotics Minor Module)
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

The course provides a general understanding of machine learning algorithms which are closely related to robotics, for e.g. machine vision and path planning. The content / syllabus of the module includes image processing, neural networks, convolutional neural networks, deep learning, image classification, object detection, SLAM (simultaneous localization and mapping), and path planning.

Module deliveries for 2024/25 academic year

Intended teaching term: Term 1 ÌýÌýÌý Undergraduate (FHEQ Level 6)

Teaching and assessment

Mode of study
In person
Methods of assessment
30% Coursework
70% Other form of assessment
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
79
Module leader
Dr Chow Lai
Who to contact for more information
eee-ug-admin@ucl.ac.uk

Last updated

This module description was last updated on 8th April 2024.

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