EUKARYOTIC CELLS AND TISSUES|GENE EXPRESSION|SIGNAL TRANSDUCTION|REGULATORY PATHWAYS|HEALTH AND

This module will provide an appreciation of current scientific research in regulatory molecular networks through genetic engineering in cell-based and animal...

Advanced Molecular Biology of Protein Regulatory Networks (BIOC0030)

 Module Content

This module will give students a broad and in-depth knowledge of the core concepts and practices underpinning the anthropology of museums...

Anthropology of Cultural Heritage and Museum Anthropology (ANTH0062)

This module explores the politics of Central and Eastern Europe (CEE), focusing in particular on the interaction of democratization processes with the building...

Governance and Democracy in Central and Eastern Europe (SEES0101)

This module explores the politics of Central and Eastern Europe (CEE), focusing in particular on the interaction of democratization processes with the building of a market economy, state building and integration into the EU. These will be examined from mid/late-1990s to the present with a stress on recent political developments, but will also with an eye to setting the post-communist democratization of CEE in longer term historical perspective. The module will also familiarize students with comparative and theoretical frameworks for understanding political change in the region including ideas relating to democratisation, "democratic backsliding" European (dis)integration and the development of market economies and societies. Countries principally covered by the module are Bulgaria, the Czech Republic, Hungary, Poland, Romania, Slovakia, and Slovenia.

This course provides a thorough introduction to the General Linear Model (GLM), which incorporates analyses such as multiple regression, ANOVA, ANCOVA,...

Advanced statistics: Data analysis and modelling with R (PSYC0146)

This course provides a thorough introduction to the General Linear Model (GLM), which incorporates analyses such as multiple regression, ANOVA, ANCOVA, repeated-measures ANOVA. We will also cover extensions to linear mixed-effects models, and Bayesian hypothesis testing. All techniques will be discussed within a general framework of building and comparing statistical models. Practical experience in applying the methods will be developed through exercises with statistical software, with a choice of either R or JASP.
Module aims: This module is intended to give a more advanced and flexible understanding of the statistical methods to analyse experimental data. The aim is to give students with the skills and confidence to analyse their own data, even in complex and non-standard cases.
Module objectives: Through the course, students are expected to develop the ability to: - structure and summarise quantitative data - construct appropriate statistical models - analyse data with the General Linear Model and extensions into mixed-effects models - test hypotheses through comparing statistical models -- use statistical software for data visualisation and analysis
Key skills provided: Flexible statistical thinking - modelling data with linear models - applying and interpreting statistical hypothesis tests - use of statistical software (R or JASP).