English

This course examines the representations, contexts, and politics of gender, sexuality and the media. By interrogating the discourses of gender and sexuality as they are 'mediated' in a variety of forms (including television, film, popular music, social media, advertising), we will examine the construction and disruption of categories of gender and sexual identity, and their intersection with other identity frameworks.

In this course, students view and discuss films that are widely recognized as outstanding or innovative and place them in a European and global context through the framework of manipulating, constructing, and regaining memory. At the same time, the course provides a critical and theoretical introduction to film analysis focusing on narrative form, mise-en-scène, cinematography, editing, and sound while providing students with analytical tools needed to interpret and write about films by identifying the elements of film art and the terminology to discuss film techniques.

This course provides a comprehensive insight into all things AI. It is not intended for those who wish to learn the mathematical underpinnings of the computer science or coding aspect of AI. It is for those who wish to explore how AI is affecting our world, from labor markets to politics, from business models to us as humans.

Family has been the most important and critical context for individuals throughout their lifetime. Understanding family dynamics and relationships gains more importance as family and family relationships are closely linked to serious social issues, including low fertility rate and family violence. The main purpose of the course is to explore diverse relations observed within the family with the following detailed goals:  

1) To understand important family theories applicable to family relationships;

2) To examine dynamics of relationships within contemporary Korean families;

3) To explore how socio-cultural contexts of Korea have shaped relationships and relationship problems within families;

4) To understand how family relationships can contribute to social problems such as a decrease of fertility rate, educational issues etc. 

This course is to understand diverse family relationships and changes in Korea; to apply appropriate family theories to interpret family relationships, and to predict family relationship changes in future society.

Prerequisites: basic Family Studies courses

The course carries a three-fold purpose: to raise our readerly patience and sensitivity, to showcase aspects of western culture, and to help enhance our English language skills. A mixture of lecture and discussion will form the main classroom activity.

This course examines classic texts and major themes in phenomenology and existentialism, a tradition that shaped continental European philosophy throughout much of the 20th century. It focuses on central figures in that tradition, such as Sartre, Heidegger, Merleau-Ponty and Husserl. Themes to be discussed include the aims and methods of phenomenology, consciousness and perception, being-in-the world, our relation to others, authenticity, freedom and embodiment. 

Educational big data analysis consolidates information to provide teachers and administrators with the big picture of trends and patterns that can be used to evaluate and streamline processes, create efficiencies, and improve the overall students’ experience. In this course, students learn:

a) learning theories and instructional design models for developing educational program;

b) the characteristics of educational data;

c) the basic programming language to operate big data analysis; 

d) some machine learning algorithms that allow computers to learn data and to predict unknown results; and,

e) the skills to embed the machine learning model into the real online educational program.

This course examines the social and ecological impacts of human activity in the context of a global fossil fuel civilization. Investigating problems of climate change, declining biodiversity, and environmental degradation, it provides an anthropologically
informed perspective on crucial issues at the intersection of ecology, sustainable development, and social activism.

The analysis of communication on social media is rapidly becoming a key-area in (socio)linguistics and discourse studies. This course introduces students to the main methods of data collection and analysis of language and discourse for a variety of social media contexts. The course combines familiarization with frameworks of analysis with practical steps on how to approach data. A variety of case-studies of social media afforded practices (e.g. sharing, tagging, Like & Follow) ranging from YouTube to Facebook and Twitter illustrate the role of a range of language and multimodal resources in presenting ourselves and relating with others online. 

The course provides engineering students with the skills to process and examine different forms of data in Python, and an understanding of how machine learning methods can use this data to solve classification and regression problems. Students learn how to implement these methods in Python using Scikit-learn. Students gain an awareness of when it is appropriate to use a particular method (if any), best practices, and the ethical issues that can occur when sourcing data and deploying machine learning in the real world.