English

This course examines the impacts of biological community processes on our environments and ecosystems, such as biogeochemical cycles, trophic interactions and spatio-temporal dynamics. An introduction to modern molecular methods used to assess biological communities and relevant approaches to study design and applications.

This course introduces concepts of international corporate law. It seeks to understand the relation between most major constituents (director, shareholder, officers) in international corporations as well as the relevance of business organizations in corporate transactions such as mergers & acquisitions. The course also provides a basic understanding of fundamental capital market rules. 

This course offers a critical introduction to United States history from the end of World War I to the present day. It is made up of four thematic sections which focus on: the state and political development; gender and sexuality; the US and the world; and race and ethnicity. The course focuses on historiographical questions that occupy scholars and interrogate change and continuity in political and social ideology during the 20th and 21st centuries. 

The course examines the peculiar nature of early modern English crime, law, and punishment through its recent historiography, testing arguments about social control, the use of evidence, levels of violence, and changing patterns of crime. From the level of state-building down to the pettiest transgressions, students will see the law in action and follow the people in court.

The course consists of a research project in physics that involves the compilation of research findings, as well as processing information and data. Some projects involve independent practical research and/or numerical or theoretical calculations in a chosen topic. Individual supervision is provided by faculty member based upon an agreement with the student. The type of supervision and frequency of supervision depends on the project and its stage, and the supervisor supports the project and provides feedback during the final stage. Graded on a P/NP basis only.

This course provides third and final year students with the theoretical and practical knowledge of diachronic studies of language, or historical linguistics, enabling them to understand how some historical changes in language can be described and explained. This course can also aid in conducting research for graduation theses and, for some, prospective postgraduate studies. 

The course introduces students to some overarching questions associated with literary, artistic, and intellectual culture in medieval and Renaissance Italy, and will provide them with some of the linguistic and analytical tools and terminology for approaching literary and visual texts from these earlier periods. The course thus develops broader critical skills as well as prepares students for specific medieval and Renaissance cultural studies.

This course offers the opportunity to learn the basics of Gaeilge (Irish, or “Irish Gaelic”), Ireland’s first official language. In addition to acquiring core skills, students also explore cultural topics in their linguistic context.

The course is devoted to understanding the fundamentals of descriptive and inferential statistics (concepts, rationale of analyses, and their assumptions), and to the application of techniques on data sets. It starts with a definition of basic concepts relevant to all statistical tests, eg chance and odds, randomness, data levels, and probability distributions. Systematic errors and random errors are discussed concerning their impact on the reliability and validity of data. Concepts explained include the sampling distribution, standard error, test statistics, chosen (alpha) and observed (p-value) significance level, type I and type II error, the power of a test, confidence intervals, and effect size measures. Research designs that are widely used in applied science research and relate these to different types of samples are used. The lab sessions include data sets to be checked and summarized using appropriate descriptive statistical techniques. Data transformations are applied where needed.