English

This course provides an overview of the accounting techniques used by managers in the areas of planning, directing, controlling, and decision-making. Students learn cost concepts, product costing systems, budgeting, and performance evaluation tools such as the balanced scorecard. The course emphasizes developing analytical skills to interpret and apply cost accounting information for effective management decisions.

The course familiarizes students with epidemiological methods to develop and test hypotheses pertaining to physical activity and health and disease outcomes at the population level. It also develops skills in designing, implementing, and evaluating interventions for improving physical activity at the population level, and provides an opportunity for in-depth analysis, critical thinking, and discussion on how epidemiological methods are used in studying physical activity behavior.

This course makes connections between national and international policies and discourses on migration, asylum, race and ethnicity, and the experiences of the people whose lives are affected by them. The main context is Ireland, but it also includes perspectives and experiences from Europe and beyond, connecting Ireland to a broader world.

The primary objective of this course is to build the foundation of cost and managerial accounting, which provides information that is essential for management’s strategic planning and decisions. Unlike financial accounting, which is intended for external parties, cost and managerial accounting is primarily designed for internal management and staff. Therefore, this course is designed to help you (1) develop the necessary skills and knowledge to prepare reports essential for management decisions and (2) understand the usefulness and limitations of cost and managerial accounting information.

One of the big challenges in psychology is to understand how elements of the nervous system, such as neurons, can cooperate to produce high-level operations like perceiving, thinking, acting and consciousness. This course introduces students to biological psychology by way of studying the link between the brain and behavior. Students gain an understanding of how the brain is involved in everything we do; whether it be recognizing faces, getting a good night's sleep or remembering where you left the car keys. The course consists of: Historical Perspectives and The Big Questions; Measuring Brain and Behavior; The Developing Brain; Movement & Action; Sensation and Perception; Executive Functions; Sleep & Dreaming.

In contemporary cinema and media studies, few concepts are invoked as often the ‘the digital’. Despite our familiarity with the term, the issues associated with it are complex and part of a much longer relationship between media, technology, and production practices. To address these issues from a theoretical and practical perspective, this course explores a range of topics related to digital aesthetics, data, bodies and performers. Across the course, students engage in related practical tasks that provide an experiential form of understanding and encourage embodied reflection on the topics under focus. The tasks offer students increased awareness of the range of easily accessed digital tools, and instill increased confidence when it comes to incorporating such tools into practice-based work.

In the high and late middle ages, monarchs and urban governments across Europe enacted laws dictating what people could wear, what hairstyles they could have, what they could eat, what types of hawks they could hunt with, as well as creating a range of other restrictions on visual display. This course examines why. What was the purpose of these ‘sumptuary’ laws (as historians have named them)? What conditions led to their enactment? How did they differ across time and space? What types of people were regulated and who was allowed to dress as they pleased? Through weekly seminars, students interrogate these questions of the original sources and select a subset of sumptuary law to examine in their essay.

This course provides undergraduate students with basic knowledge of how to conduct empirical research on international relations (IR). The course is organized into two sections. The first section introduces academic writing skills, instructing on how to formulate research questions; implement literature reviews, and prepare an appropriate research design. Given the emerging challenges of artificial intelligence (AI), the class also discusses how to use and avoid the misuse of AI in academic writing. The second section illustrates how to use a variety of qualitative and quantitative methods, including surveys and interviews.  

This course introduces the fundamental concepts from mechanical engineering that facilitates understanding and quantitative analysis of renewable energy systems. This includes concepts from the fields of structural mechanics, dynamics of mechanical systems, and fluid statics/dynamics. The course provides a grounding in key physical concepts and analytical methods to enable understanding of and quantitative analysis of renewable energy systems. Lecture material will cover: structural mechanics; Newtonian Dynamics; and fluid statics and dynamics. These are presented within the context of and applied to renewable energy systems

This course is part of the Laurea Magistrale degree program and is intended for advanced level students. Enrollment is by permission of the instructor. The course focuses on advanced methods and models to predict the vulnerability of a water body to natural and anthropic pressures and evaluate the risk of water scarcity or poor quality under current and future conditions. In particular, the course addresses the following main contents: analytical and numerical models of flow and contaminant transport, data-driven and risk assessment methods, and laws of similarity for model tests in hydraulics. It is divided into two modules: 

Module 1: 

• Analytical and numerical modeling of flow processes in natural domains
• Analytical and numerical modeling of transport processes
• Risk and sensitivity analysis
• Monitoring and data-driven methods for the analysis of water bodies
• Introduction to geostatistics

Module 2: 

• Dimensionless numbers and laws of similarity for model tests in hydraulics
• Hydraulic measurements