English

This course provides a comprehensive overview of emotions research, how this produces feelings of stress and how these concepts relate to some of the most common mental disorders - depression and anxiety disorders. Students will learn about psychology as a science and how psychological research is performed (including animal and human studies). Throughout the course we will examine how the findings from this research informs the clinical description of disorders and the treatment of anxiety, stress and low mood.

This course investigates contemporary globalization and its linkage with some crucial social and cultural processes. Catalysts of globalization and sociocultural complexity are critically assessed, especially the 'new' media. Furthermore, the effects of global interconnectedness are explored by dissecting phenomena like migration, the upsurge of religious movements, and the rise of transnationalism. Interrelated issues addressed in the series of lectures involve community formation, identity construction, cultural innovation versus cultural survival, and the shifting relationship between agency and structure. As such, 'Globalization and sociocultural complexity' should be regarded an introduction to current anthropology that logically follows 'Culturele Antropologie 2' in its aim to deepen students' understanding of theoretical approaches to, and the ethnography of, present-day's highly intricate social realities.

This course examines digital marketing, digital media tools, and effective digital marketing strategies based on good research. It will therefore define digital marketing and explain its role in the marketing discipline. Additionally, the course will seek to develop
practical skills which are essential to digital marketing and implementing an effective digital marketing strategy.

The course provides students with the conceptual and theoretical framework surrounding valuation issues and the practical tools to address such topics in real-life situations. The main methodologies of corporate valuation are analyzed and the approaches commonly used by practitioners (financial analysts, investment and merchant banks, consulting firms) are critically discussed. Examples focus on corporate valuation issues using DCF, stock market and deal multiples completed by industry-specific as well as case-specific valuation techniques. Prerequisites: knowledge of basic financial accounting and basic corporate finance.

This course examines AI concepts, including how to interact with AI systems, and critically evaluate their impact. It covers the ethical, social, and technological dimensions of AI. 

This course combines the fundamentals of engineering materials with their applications. By means of lectures, discussion, and lab exercises, the students are enabled to understand the relationships among the four elements of materials science and engineering, i.e., composition and processing, microstructure, property, and performance.

This course provides an in depth overview of Data Mining, Commercial data, Administrative data, survey data, Factor Analysis, Cluster Analysis, Predictive Models (decision trees, discriminant analysis, regression). The course content is delivered through theoretical lectures and practical laboratory works using SAS software; it focuses on the application of SAS programming for market research and consumer behavior analysis, combining statistical rigor with practical implementation. The curriculum emphasizes advanced techniques such as Principal Component Analysis (PCA), Multiple Correspondence Analysis (MCA), Discriminant Analysis, and clustering methods. Topics for this course include:

1. Advanced SAS Programming for Market Data
2. Statistical Foundations for Market Research
3. Principal Component Analysis (PCA) for Market Research
4. Clustering Methods for Market Segmentation
5. Multiple Correspondence Analysis (MCA) for Categorical Data
6. Discriminant Analysis for Predictive Modeling
7. Advanced Data Handling and Preparation
8. Capstone Project: CRM and Consumer Behavior Analysis

By the end of the course, students learn to define their research topic, edit the questionnaire, treat distortion effects generated by the opinion scale, build statistical models using the SAS software, and draft of research report. Students will conduct a psychographic Customer Relationship Management (CRM) capstone project, which must apply the data analysis strategies addressed during lectures; they produce a final written report with clear and logical description of the analysis process and methodological choices. 

This course introduces students to the languages and protocols of performance theory and analysis. Students explore critical methodologies for the analysis of theatre and performance events and develop critical languages and methodologies by studying the potential role of performance theories in the engagement with and analysis of the theatrical text and performance

This course considers the shifting nature of Gaelic identities in Scotland from the Middle Ages to the present and assesses the ideological and discursive presentation of these identities. The course also addresses the current sociolinguistic dynamics of the language, particularly in relation to the effect of English-Gaelic bilingualism and the impact of recent revitalization initiatives.