This module aims to provide a competent reading knowledge of Finnish and basic communicative skills in the language. Students who complete the module...

This module aims to provide a competent reading knowledge of Finnish and basic communicative skills in the language. Students who complete the module successfully will be able to assure both potential employers and academic supervisors that they possess the necessary foundation-level Finnish language skills to work with original Finnish texts and to enable them to undertake study and/or research in Finland. The module provides an intensive introduction to Finnish grammar, a knowledge of basic vocabulary, practice in the skills of oral communication in Finnish in straightforward situations, translation and information retrieval skills, using Finnish texts in Finnish and international cultural, political, and social themes. The module is designed for beginners. It requires intensive study including learning and practising independently beyond the contact hours.

The module will introduce students to the domain of data science relevant to the field of crime and security science. It will give them a broad overview of (i)...

The module will introduce students to the domain of data science relevant to the field of crime and security science. It will give them a broad overview of (i) web data collection techniques using APIs and web-scraping, (ii) text mining (iii) machine learning principles and methods, (iv) as well as guest lectures on applications of natural language processing to crime and security science. The techniques covered in the module are taught within the context of their application to crime and security, but the course is suitable for students from other disciplines. The module consists of ten combined sessions (lectures + practical sessions).  During the weekly practical sessions, students will implement the techniques they have been taught in lecturers using R programming language. The module is suitable for students intending to learn about data science and acquire the skills to conduct a full data science project from start to finish. This is a practical module involving a considerable amount of practical programming and a large assessment requiring programming. It is not a pre-requisite for students to have prior knowledge of programming language, but they must have a willingness to learn R and do the preparation work for the module.