8498 modules
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GERO6045 2028-29
Quantitative Research Methods 1 (DL)
This module introduces you to quantitative research methods within the social sciences. The module is aimed at providing a firm understanding of the fundamental principles of quantitative analysis up to bivariate analysis, and a good foundation of knowledge of quantitative methods and their application to data relevant to disciplines across the Social Sciences, particularly Gerontology. You will learn about the analysis and data manipulation of quantitative data through a combination of online lectures, online exercises using SPSS, assessed coursework, tutorials, and individual study and practice. The module assumes no prerequisite knowledge of quantitative analysis and SPSS. -
GERO6045 2025-26
Quantitative Research Methods 1 (DL)
This module introduces you to quantitative research methods within the social sciences. The module is aimed at providing a firm understanding of the fundamental principles of quantitative analysis up to bivariate analysis, and a good foundation of knowledge of quantitative methods and their application to data relevant to disciplines across the Social Sciences, particularly Gerontology. You will learn about the analysis and data manipulation of quantitative data through a combination of online lectures, online exercises using SPSS, assessed coursework, tutorials, and individual study and practice. The module assumes no prerequisite knowledge of quantitative analysis and SPSS. -
GERO6045 2026-27
Quantitative Research Methods 1 (DL)
This module introduces you to quantitative research methods within the social sciences. The module is aimed at providing a firm understanding of the fundamental principles of quantitative analysis up to bivariate analysis, and a good foundation of knowledge of quantitative methods and their application to data relevant to disciplines across the Social Sciences, particularly Gerontology. You will learn about the analysis and data manipulation of quantitative data through a combination of online lectures, online exercises using SPSS, assessed coursework, tutorials, and individual study and practice. The module assumes no prerequisite knowledge of quantitative analysis and SPSS. -
GERO6039 2026-27
Quantitative Research Methods 2 (DL)
This module offers a more advanced training in quantitative research methods within the social sciences. The module is aimed at providing a deeper understanding of the fundamental principles of quantitative analysis, and a solid foundation of knowledge of quantitative methods and their application to data relevant to disciplines across the Social Sciences, particularly Gerontology. You will learn about a variety of regression analysis methods through a combination of online lectures, online exercises using SPSS, assessed coursework, tutorials, and individual study and practice. The module assumes prerequisite knowledge of statistical inferences, bivariate analysis, and SPSS. -
GERO6039 2025-26
Quantitative Research Methods 2 (DL)
This module offers a more advanced training in quantitative research methods within the social sciences. The module is aimed at providing a deeper understanding of the fundamental principles of quantitative analysis, and a solid foundation of knowledge of quantitative methods and their application to data relevant to disciplines across the Social Sciences, particularly Gerontology. You will learn about a variety of regression analysis methods through a combination of online lectures, online exercises using SPSS, assessed coursework, tutorials, and individual study and practice. The module assumes prerequisite knowledge of statistical inferences, bivariate analysis, and SPSS. -
GERO6039 2027-28
Quantitative Research Methods 2 (DL)
This module offers a more advanced training in quantitative research methods within the social sciences. The module is aimed at providing a deeper understanding of the fundamental principles of quantitative analysis, and a solid foundation of knowledge of quantitative methods and their application to data relevant to disciplines across the Social Sciences, particularly Gerontology. You will learn about a variety of regression analysis methods through a combination of online lectures, online exercises using SPSS, assessed coursework, tutorials, and individual study and practice. The module assumes prerequisite knowledge of statistical inferences, bivariate analysis, and SPSS. -
GERO6XX6 2026-27
Quantitative research methods 2 (DL)
This module offers a more advanced training in quantitative research methods within the social sciences. The module is aimed at providing a deeper understanding of the fundamental principles of quantitative analysis, and a solid foundation of knowledge of quantitative methods and their application to data relevant to disciplines across the Social Sciences, particularly Gerontology. You will learn about a variety of regression analysis methods through a combination of online lectures, online exercises using SPSS, assessed coursework, tutorials, and individual study and practice. The module assumes prerequisite knowledge of statistical inferences, bivariate analysis, and SPSS. -
SOES2042 2028-29
Quantitative Skills in Earth System Science
Quantitative skills are a key component of the modern Ocean and Earth Scientist's toolkit. This module will explore key topics in numeracy, statistical, programming and artificial intelligence to equip students with the practical skills and theoretical knowledge to engage with cutting edge computational research across a range of fields relevant to the Ocean and Earth Sciences. -
ELEC6207 2025-26
Quantum Devices and Technology
The aim of this module is to provide an overview of advancement of quantum devices and technology in line with the development of nanoelectronics and nanotechnology. Students will gain knowledge of basic quantum mechanics and how the quantum mechanics are playing a key role in the state-of-the-art nanoelectronics. Then they will become also familiar with quantum information processing including quantum computing and quantum communication technologies. -
ELEC6207 2029-30
Quantum Devices and Technology
The aim of this module is to provide an overview of advancement of quantum devices and technology in line with the development of nanoelectronics and nanotechnology. Students will gain knowledge of how the quantum mechanics are playing a key role in the state-of-the-art nanoscale semiconductor devices. They will become also familiar with devices that can realise quantum computing, quantum communication and quantum sensing. Quantum photonic and optomechanical devices, and quantum materials will be also covered.