11312 modules
Page 299
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MANG3056 2027-28
Data Mining for Marketing
Companies nowadays have collected a large volume of data from various sources. This module aims to introduce the key concepts of using 鈥楤ig Data鈥 to improve marketing activities. Specifically, it focuses of the use of data mining techniques to manage customer relationships. Relevant marketing issues such as customer surveys, profiling/segmentation, communications, campaign measurement, satisfaction, loyalty, profitability, social media and other current topics will be discussed with regard to how data mining and analytical approaches can be used to improve marketing decision making. In this module, students will get hands-on experience and will be introduced to software commonly used in marketing departments and organisations. Thus, this module seeks to equip students with key skills needed to manage real marketing decisions based on marketing data. -
MANG3056 2028-29
Data Mining for Marketing
Companies nowadays have collected a large volume of data from various sources. This module aims to introduce the key concepts of using 鈥楤ig Data鈥 to improve marketing activities. Specifically, it focuses of the use of data mining techniques to manage customer relationships. Relevant marketing issues such as customer surveys, profiling/segmentation, communications, campaign measurement, satisfaction, loyalty, profitability, social media and other current topics will be discussed with regard to how data mining and analytical approaches can be used to improve marketing decision making. In this module, students will get hands-on experience and will be introduced to software commonly used in marketing departments and organisations. Thus, this module seeks to equip students with key skills needed to manage real marketing decisions based on marketing data. -
SESA1018 2025-26
Data Science & Computational Methods
鈥淭he purpose of computing is insight, not numbers鈥 (Hamming, 1962). Data science is all about gaining insight from the large amounts of data we are surrounded by.
In our digital world, engineers need to be able to use a range of tools, technologies and platforms to make sense of data and tackle complex engineering problems.
In this module you will
- Become confident in using a whole range of data science techniques
- Enhance your digital skills
- Learn about how, where and when to use a range of important computational tools, technologies and platforms
This module will help become proficient in the digital skills you need for everyday and engineering tasks throughout your degree and beyond. -
SESA1018 2026-27
Data Science & Computational Methods
鈥淭he purpose of computing is insight, not numbers鈥 (Hamming, 1962). Data science is all about gaining insight from the large amounts of data we are surrounded by.
In our digital world, engineers need to be able to use a range of tools, technologies and platforms to make sense of data and tackle complex engineering problems.
In this module you will
- Become confident in using a whole range of data science techniques
- Enhance your digital skills
- Learn about how, where and when to use a range of important computational tools, technologies and platforms
This module will help become proficient in the digital skills you need for everyday and engineering tasks throughout your degree and beyond. -
SESA1018 2027-28
Data Science & Computational Methods
鈥淭he purpose of computing is insight, not numbers鈥 (Hamming, 1962). Data science is all about gaining insight from the large amounts of data we are surrounded by.
In our digital world, engineers need to be able to use a range of tools, technologies and platforms to make sense of data and tackle complex engineering problems.
In this module you will
- Become confident in using a whole range of data science techniques
- Enhance your digital skills
- Learn about how, where and when to use a range of important computational tools, technologies and platforms
This module will help become proficient in the digital skills you need for everyday and engineering tasks throughout your degree and beyond. -
FEEG1203 2026-27
Data Science and Computing for Engineers
This module will help you become proficient in data analysis and computational methods with coding that you will need for solving engineering challenges throughout your degree and beyond. -
FEEG1203 2027-28
Data Science and Computing for Engineers
This module will help you become proficient in data analysis and computational methods with coding that you will need for solving engineering challenges throughout your degree and beyond. -
FEEG1203 2025-26
Data Science and Computing for Engineers
This module will help you become proficient in data analysis and computational methods with coding that you will need for solving engineering challenges throughout your degree and beyond. -
STAT6114 2025-26
Data Science Foundations
The aim of this module is to present a range of data science concepts, including dealing with administrative and big data sources, and to present some basic methods for data analysis. -
COMP6234 2025-26
Data Visualisation
Welcome to the Data Visualisation module! In this course, you would learn about the terminology, concepts and techniques behind visualising data, and will get to use a range of tools to get experience of creating visual representations of data. You will gain an understanding of how humans perceive data, and why certain techniques can greatly enhance the effectiveness of any visualisation. We will look at example images to critique them, building up knowledge about what works, and what doesn't. The course will include a mix of lectures, tutorials, seminars and hands-on exercises.