8443 modules
Page 454
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FEEG6042 2026-27
Introduction to Machine Learning
Machine Learning advances are revolutionising our world. At a fundamental level, Machine Learning deals with the extraction of useful information from large and complex datasets. There are now many applications, from the automatic understanding and processing of written text, the automatic detection of obstacles in stereo camera images in self driving cars or the recognition of human speech as in virtual digital assistants.
Machine learning is a broad discipline, requiring a basic understanding of many areas of science, from mathematical and statistical concepts to computational techniques. This module focusses on the fundamental concepts of modern Machine Learning for students studying engineering disciplines other than computer science and electronic engineering. The module will cover a range of fundamental principles, introduce state of the art techniques and will allow you to develop the practical skills to implement these techniques to analyses real world data to solve realistic engineering challenges. -
FEEG6042 2028-29
Introduction to Machine Learning
Machine Learning advances are revolutionising our world. At a fundamental level, Machine Learning deals with the extraction of useful information from large and complex datasets. There are now many applications, from the automatic understanding and processing of written text, the automatic detection of obstacles in stereo camera images in self driving cars or the recognition of human speech as in virtual digital assistants.
Machine learning is a broad discipline, requiring a basic understanding of many areas of science, from mathematical and statistical concepts to computational techniques. This module focusses on the fundamental concepts of modern Machine Learning for students studying engineering disciplines other than computer science and electronic engineering. The module will cover a range of fundamental principles, introduce state of the art techniques and will allow you to develop the practical skills to implement these techniques to analyses real world data to solve realistic engineering challenges. -
FEEG6042 2031-32
Introduction to Machine Learning
Machine Learning advances are revolutionising our world. At a fundamental level, Machine Learning deals with the extraction of useful information from large and complex datasets. There are now many applications, from the automatic understanding and processing of written text, the automatic detection of obstacles in stereo camera images in self driving cars or the recognition of human speech as in virtual digital assistants.
Machine learning is a broad discipline, requiring a basic understanding of many areas of science, from mathematical and statistical concepts to computational techniques. This module focusses on the fundamental concepts of modern Machine Learning for students studying engineering disciplines other than computer science and electronic engineering. The module will cover a range of fundamental principles, introduce state of the art techniques and will allow you to develop the practical skills to implement these techniques to analyses real world data to solve realistic engineering challenges. -
FEEG6042 2029-30
Introduction to Machine Learning
Machine Learning advances are revolutionising our world. At a fundamental level, Machine Learning deals with the extraction of useful information from large and complex datasets. There are now many applications, from the automatic understanding and processing of written text, the automatic detection of obstacles in stereo camera images in self driving cars or the recognition of human speech as in virtual digital assistants.
Machine learning is a broad discipline, requiring a basic understanding of many areas of science, from mathematical and statistical concepts to computational techniques. This module focusses on the fundamental concepts of modern Machine Learning for students studying engineering disciplines other than computer science and electronic engineering. The module will cover a range of fundamental principles, introduce state of the art techniques and will allow you to develop the practical skills to implement these techniques to analyses real world data to solve realistic engineering challenges. -
FEEG6042 2030-31
Introduction to Machine Learning
Machine Learning advances are revolutionising our world. At a fundamental level, Machine Learning deals with the extraction of useful information from large and complex datasets. There are now many applications, from the automatic understanding and processing of written text, the automatic detection of obstacles in stereo camera images in self driving cars or the recognition of human speech as in virtual digital assistants.
Machine learning is a broad discipline, requiring a basic understanding of many areas of science, from mathematical and statistical concepts to computational techniques. This module focusses on the fundamental concepts of modern Machine Learning for students studying engineering disciplines other than computer science and electronic engineering. The module will cover a range of fundamental principles, introduce state of the art techniques and will allow you to develop the practical skills to implement these techniques to analyses real world data to solve realistic engineering challenges. -
FEEG6042 2027-28
Introduction to Machine Learning
Machine Learning advances are revolutionising our world. At a fundamental level, Machine Learning deals with the extraction of useful information from large and complex datasets. There are now many applications, from the automatic understanding and processing of written text, the automatic detection of obstacles in stereo camera images in self driving cars or the recognition of human speech as in virtual digital assistants.
Machine learning is a broad discipline, requiring a basic understanding of many areas of science, from mathematical and statistical concepts to computational techniques. This module focusses on the fundamental concepts of modern Machine Learning for students studying engineering disciplines other than computer science and electronic engineering. The module will cover a range of fundamental principles, introduce state of the art techniques and will allow you to develop the practical skills to implement these techniques to analyses real world data to solve realistic engineering challenges. -
MANG1003 2024-25
Introduction to Management
This module provides you with a broad view on key management related topics. It also provides a chance for you to gain hands-on experience on teamwork through preparation and delivery of a group presentation as part of the module assessment. The lectures are supplemented with a number of interactive classes, which give you in depth understanding of the important subjects discussed in the lectures. -
MANG1003 2025-26
Introduction to Management
This module provides you with a broad view on key management related topics. It also provides a chance for you to gain hands-on experience on teamwork through preparation and delivery of a group presentation as part of the module assessment. The lectures are supplemented with a number of interactive classes, which give you in depth understanding of the important subjects discussed in the lectures. -
MANG1003 2026-27
Introduction to Management
This module provides you with a broad view on key management related topics. It also provides a chance for you to gain hands-on experience on teamwork through preparation and delivery of a group presentation as part of the module assessment. The lectures are supplemented with a number of interactive classes, which give you in depth understanding of the important subjects discussed in the lectures. -
MANG1003 2027-28
Introduction to Management
This module provides you with a broad view on key management related topics. It also provides a chance for you to gain hands-on experience on teamwork through preparation and delivery of a group presentation as part of the module assessment. The lectures are supplemented with a number of interactive classes, which give you in depth understanding of the important subjects discussed in the lectures.