Advanced Topics in Social and Geographic Data Science (GEOG0125)

GEOG0125 aims to expand on, GEOG0115 and GEOG0114, in covering advance topics on social and geographic data science. The module will provide a detailed introduction on topics covering statistical inference in geography, Spatial Bayesian modelling, machine/statistical learning, and interactive geographical visualisation. The module will equip the student with the foundations as a data analyst/scientist to tackle future research challenges in the domains of geography & social science.

By the end of the module, the student should:

- Possess a solid foundations and principles of statistical and Bayesian inference

- Applying statistical modelling and machine learning on social and geographic data science problems.

- Produce interactive geographical visualisations

Students are required to have taken GEOG0114 and GEOG0115, since the module requires a foundation in social and geographic data analysis. Knowledge in computing in R and/or Python is a pre-requisite as the module requires a considerable amount of practical programming work.

The course will usually consist of approximately 10 lectures and 10 practical sessions. Please note that the module description is subject to change due to staff changes.

This is a first-year foundational module which introduces students to aspects of the study of language and introductory linguistics, from a social and...

Introduction to the Study of Language and Linguistics (ELCS0004)

This is a first-year foundational module which introduces students to aspects of the study of language and introductory linguistics, from a social and learner's perspective. Topics include critical discussions of the concept of language and its formal study, the relationship between language and culture, society and the mind. Students are encouraged to explore their own language background in a range of tasks, and will develop an understanding of the academic study of language and its various applications, including foreign language study.

The lectures will introduce and explain concepts and theories, and the small group seminars will offer room for discussion, case studies and practical tasks.