The module aims to develop a range of productive and comprehension language skills in spoken and written Finnish at intermediate level; these skills will...

The module aims to develop a range of productive and comprehension language skills in spoken and written Finnish at intermediate level; these skills will relate both to the students' studies and to practical situations in Finland. Students on a two-year MRes programme, and appropriately qualified MA students on other programmes are entitled to enrol on this module. The module will include development of oral skills, the reading of relatively complex authentic texts, some grammar exercises and some writing in Finnish.

Since ancient times, people have engaged in the art of secret communication i.e., have developed mechanisms for ensuring that confidential information is not...

Since ancient times, people have engaged in the art of secret communication i.e., have developed mechanisms for ensuring that confidential information is not leaked to unauthorised parties. In the modern era, the interactions in which we engage have become significantly more complex, leading to a landscape in which both the security goals of a system and the threats faced by it are difficult to define, let alone evaluate. This module introduces students to the design and evaluation of secure systems, both in the physical and computerised realms.

PLEASE READ IF YOU ARE AN MRES SECURITY SCIENCE (SECReT) STUDENT: You are encouraged to take this module unless you have a background in computer science and cybersecurity.

Environmental Politics|International Relations and Politics|Public Policy|Sustainability

This is an advanced module designed to introduce students to the major themes and issues in the study of global environmental politics (GEP). In doing so, the...

This module provides an introduction to advanced quantitative methods in psychology. You will learn how and when to use advanced research designs and...

This module provides an introduction to advanced quantitative methods in psychology. You will learn how and when to use advanced research designs and statistical techniques to present empirical research. Topics may include experimental designs (laboratory, field, and natural), log-linear models, logistic regression, and path analysis. Examples will be drawn from many areas of developmental and educational psychology using social, cognitive and neuro-cognitive approaches. You will also learn data analytic skills using a variety of statistical software packages (e.g. SPSS, R and JASP). This is an advanced module intended for students who have already had some training in quantitative methods for data analysis and, at a minimum, understand probability, hypothesis testing and linear regression.