English

This course increases knowledge of concepts and theories in consumer behavior, and of methods for analyzing consumer behavior. The goal of this course is to understand how these concepts and approaches relate to marketing decision making. A set of important topics on consumer behavior is selected for discussion.

This course aims to understand the structural "power" of the media through examining how the media, people, and society affect one another. In addition, the course addresses public relations and communications so that students can foster media and digital competency to use “owned media” safely and effectively.

The course addresses the following topics:

1. Media and power: the danger of a single story; case studies
2. Media and gender
3. Media and ethnicity; case studies
4. Discourse analysis 
5. Interactive communications in the Digital and SDGs age; case studies
6. Interactive Communications and Global PR campaigns

This course introduces students to contemporary feminist ideas and key feminist debates, specifically feminist legal theory. The course illustrates the ideas by focusing on specific campaigns that relate to women and girls’ human rights and gender justice in both Irish national and global arenas. The course focuses on some important areas of contention, debate, and power struggles to see how feminist approaches to legal issues are deployed in important campaigns relating to: reproductive justice; prostitution/sex work; lesbian, gay, bisexual and trans (LGBT) issues; and redress and restorative justice for survivors of trauma and abuse relating to gender violence. Through case studies the course offers an introduction to feminist concepts and to international conventions relevant to gender justice such as the Convention on the Elimination of all Forms of Discrimination against Women (CEDAW), United Nations Conventions on Human Rights and relevant Security Council Resolutions as well the European Convention on Human Rights (ECHR) and the Yogyarkarta Principles. The case studies are also used to introduce and illustrate key concepts of feminist legal theorists such as Martha Fineman, Catharine MacKinnon, Suan Moller Okin, Martha Nussbaum, and Janet Halley.

When you talk to ChatGPT, does it talk back? Does it really understand, or is it just a sophisticated sort of autocomplete? When DALL*E makes an image from your description, in the style of an author you like, is it plagiarizing that artist? Could a machine be conscious? Will AI revolutionize the economy? These are among the most interesting questions to ask at the moment. In this class, we'll ask them. We'll take a tour through 70 or so years of philosophical thought about artificial intelligence, from Turing to OpenAI, learning the concepts and theories that have been used to make sense of artificial intelligence. In the first part of the course, we'll look at more 'technical' material, about the nature of meaning and mind; in the second part, we'll turn to applied ethical and social issues. 

This course is highly applied in nature with two important database topics, namely, traditional relational databases and SQL, as well as non-traditional databases and NoSQL queries. Students are expected to know basic programming using Python as a prerequisite. In this course, students learn, understand, use, and apply the principles and technologies of data management to business analytics. Doing so creates two benefits - (1) students understand the complexities of enterprise business analytics much more deeply and have a set of principles and techniques to apply to wrangle these complexities; and (2) students become technically proficient and comfortable in data management technologies (like SQL and NoSQL), so they can implement these principles on their own. In this course, students gain a much broader appreciation for real-world enterprise analytics - how data management, data science/analysis and data visualization come together to build analytics capabilities for organizations. This appreciation strengthens students’ abilities to tackle the organizational challenges associated with analytics. Finally, students become more robust technically, and develop keys technical skills needed in all business analytics professionals.

The course is practically oriented, and students work in project groups with the different concepts/change management methods before seminars and with a major project work together with a company (or other organization) during the course. A significant part of the course is made up of literature seminars, where the students actively discuss and analyze research articles in the field.

This course gives students an understanding of practical aspects of data analysis, handling, and visualization for datasets related to geo and environmental sciences.

Advanced statistical techniques for the analysis of psychometric data, focusing on reliability analysis, principal component analysis, cluster analysis, and various regression techniques. Students lean how to evaluate psychometric scales and use them for prediction and measurement.

This course explores the relationship between Transcendentalism and women's rights, family relations, and perceptions of childhood and education. It draws almost exclusively on writings from the period.