English

This course explores some of the central ideas and debates in politics today, including claims regarding the nature of freedom, democracy, power, and the state. 

This physical education course introduces the field of exercise science and explores it in relation to areas of health promotion. The course also provides a unique opportunity for students to test a career choice in fields related to health, exercise, and well-being through lectures from experts from different areas of science. This course is a foundational exploration of essential concepts and theories related to fostering holistic well-being, encompassing both physical and mental dimensions. Emphasizing a comprehensive approach to health, the curriculum delves into diverse strategies for enhancing and sustaining well-being, including exercise, lifestyle management encompassing aspects like sleep, nutrition, and stress. 

Topics include Foundations of health and exercise science; Anatomy and physiology for exercise science; Exercise prescription and programming; Yoga experience; Nutrition, hydration, and exercise: Fundamental of nutrition, Energy balance, Nutrient timing, Dietary supplements; Stress, the effects of stress, and stress reduction; Psychology of physical activity and exercise. 

Students should expect to create and group-lead a stress-reduction class, and produce and present a final project. 

What puts former criminals on the right track? How can we prevent heart disease? Can Twitter predict election outcomes? What does a violent brain look like? How many social classes does 21st century society have? Are hospitals spending too much on health care, or too little? Data analysis is the art and science of tackling questions like these by looking at data. Just as cartographers make maps to see what a country looks like, data analysts explore the hidden structures of data by creating informative pictures and summarizing relationships among variables. And just as doctors diagnose sick patients and advise healthy ones on how to stay healthy, data analysts predict important events and variables so we can act on this knowledge. Methods from statistics, machine learning, and data mining play an important part in this process, as well as visualizations that allow the analyst and other humans to better understand what we can conclude from the available facts. During this course, students actively learn how to apply the main statistical methods in data analysis and how to use machine learning algorithms and visualizing techniques. The course goes beyond linear and logistic regression and thus continue where “Fundamental techniques in data science with R” ended. The course has a strongly practical, hands-on focus: rather than focusing on the mathematics and background of the discussed techniques, student gain hands on experience in using them on real data during the course and interpreting the results. Entry requirements include at least followed an introductory statistics course of 7.5 EC, and familiarity with correlation and regression, comparing means and cross tabulations of categorical variables. It's also expected to have hands on experience in carrying out these analyses, with, for example, SPSS, Stata, R or SAS.

This course covers Maxwell equations, optical field-matter interaction, principles of lasers and rate equations, optical resonators, plane waves, ray-tracing, and Gaussian beams.

Students study how marketing strategies, tactics, and analytics tie together to create a digital marketing campaign, learning how a market position is selected and bolstered by the appropriate marketing tools to achieve success, critically considering the advantages and disadvantages of different digital marketing choices, and applying a range of tools to create realistic and viable marketing campaigns. 

In this course, students gain a molecular understanding of human health and disease, and how the mode of action of drugs is crucial for the development of new drugs wit: improved potency and reduced side effects. The course also underpins the development of personalized medicine. This is about giving the right treatment to the right people at the right time. It’s also a move away from the "one size fits all" approach to the treatment of patients with a particular condition.

Through theoretical studies and practical exercises, the course conveys knowledge about the structure and function of the brain and key areas of modern cognitive neuroscience, such as attention, memory, language, and cognitive control, as well as emotions and social interaction. The understanding of normal function is the primary focus of the course, but clinical examples are also used as they provide substantial illustrations of normal functioning. Furthermore, the course provides knowledge about relevant research methods within the area, and major emphasis is placed on the interdisciplinary nature of the subject. This module provides basic knowledge of neuroanatomy, brain development change, cellular function and communication, and basic brain functions, such as sensory processing, perception, motor function and motivation. Furthermore, important methods to study cognitive functions and mental processes (e.g. response times, accuracy) and to study the activity of the brain and functional anatomy (e.g. lesion and patient data, brain imaging methods) are described.

This course provides an examination of the cultural frameworks and social aspects of gender roles, personhood, human sexuality, and kinship systems, analyzed through ethnographic examples from a diverse range of settings. It equips students with the analytical tools to engage in theoretical debates concerning core concepts such as gender, sexuality, kinship, marriage, and the relationship between nature and culture, as well as exploring how the experiences of gender, sexuality, and kinship vary according to the regimes of politics, law, and materiality in which they are embedded. 

This course covers the academic study of elections and voting behavior and practical applications to the real political world.  

Elections are one of the important mechanisms in a democratic society, serving as a means of connecting citizens to political leadership. Voting is the principal activity that legitimizes the democratic process by individuals.  

This course focuses on two major areas: First, review of key theories about elections and voting behavior, including people’s actual vote choice in recent national-wide elections. Second, practice of election campaign strategy for the upcoming national-wide election for local governments (e.g., Mayor of Seoul) on June 3 based on theoretical and historical understanding of Korean voters’ political attitude and choice behaviors. 

By considering diverse theoretical perspectives on why people vote/don’t vote and why they vote the way they do, and by applying those theoretical views to the real politics, students learn both academic approaches and realistic approaches toward elections and voting behavior.  

This is a translation workshop where students translate and do research on activism. It includes several guests speakers, including a certified court interpreter, a Translation Studies specialist on gender, a sociolinguist, and representatives from the U.S.'s Montclair State University Human Trafficking Center. Students are also introduced to a free language corpus analyzer software.