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This course introduces social research methods in relation to public health, covering research design, conducting research, data analysis, and research evaluation. Topics include the relationship between theory and research; the nature, principles, and methods of conducting social research; research methodologies; ethical implications of studying human beings; and research in the disciplines of sociology and public health.
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This course covers methods and techniques to summarize and communicate the underlying patterns of different types of data. Students practice preprocessing (Python) and various data visualization tools, working on projects with real-world data. Topics include overview of data visualization, graph visual perception and design principles, data types and visualization techniques, basic and advanced charts and graphs, effective communication, time series data visualization and interactive visualizations, statistical visualizations, network data, machine learning, and data visualization trends.
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This course is a painting studio course focusing on two main approaches: creative expression and technique building via the perspective of contemporary art from the 20th and 21st centuries, and a central emphasis upon the concept of 'multi-sensory art' which is an emerging technique used to create new art by combining visual and sound elements.
Students will learn about sound art and techniques for manipulating digital sound on a computer to gain a basic understanding of sound in art, exploring the connection and mapping between painting and sound(music), with a focus on visualizing and spatializing sound (music) or sonifying paintings and images. Students will work on a final project using the above techniques.
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This course introduces mathematical tools to evaluate software products and algorithms, examining principal knowledge of data structures in order to represent real world problems with computational algorithms (with abstract data types).
Topics include linear lists, queues, trees, arrays, and hash tables. The course also investigates the principles of software engineering and addresses how to best utilize the acquired principles in designing and realizing software problems through hands-on experience.
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This course teaches the creation of 2D artworks using a variety of techniques including drawing, ink painting, collage, and photography. Students explore setting subject matters through mixed media, encouraging self-expression and artistic exploration. The course covers both figurative and non-figurative approaches to painting and drawing, with an emphasis on developing skills in figure painting, still life, and landscape works. The course also introduces students to contemporary art and Korean art, guiding them toward creating unique and individual pieces.
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This course is conducted in the German language and is designed to teach students who are new to German or have basic German skills the basic expressions and grammar necessary for daily life. The course enables students to develop the skills of listening, speaking, reading, and writing in German in a range of predictable situations and contexts and allows students to interact in a simple way orally and in writing.
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This course examines the connection between modern media and Korean dramatic culture. By analyzing literary elements inherent in TV dramas, animation, and popular music, as well as elements of these genres introduced into literary works, students explore interconnectedness between literature and popular culture and gain a deeper understanding of both literature and popular culture.
The course surveys dramatic literature trends both in relation to the media through which they are broadcast as well as the cultural, social, and historical environments in which dramas and plays are situated.
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This course introduces the comparative study of civil wars and post-civil war politics. Of various forms of political conflict, it focuses on civil wars (or intra-state conflicts) as they account for over 95 percent of armed conflicts around the world since the end of the Cold War. Drawing on cutting-edge research, it covers six major topics in the field, such as the causes of civil war onset, United Nations peacebuilding operations, and institutional approaches to peacebuilding in civil war-torn countries. The course helps students develop solid understanding and critical thinking about how deadly conflict can be prevented and, if it occurs, what could be the effective ways of managing the violence and building a sustainable peace in the aftermath of conflict.
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This course cultivates a deep understanding of data augmentation techniques and robust machine learning principles and the ability to apply them to real-world problems.
Students will implement various data augmentation techniques using programming languages and machine learning libraries and develop problem-solving skills to diagnose and address the performance degradation caused by noisy labels and imbalanced data. Additionally, students will master the use of cross-validation and performance metrics to effectively evaluate models, and learn methods to interpret and explain model predictions, ensuring the development of transparent and trustworthy machine learning applications. The course also emphasizes the ethical aspects of data augmentation and robust machine learning, fostering the ability to implement ethical practices that ensure responsible use of technology. Students will nurture a research-oriented mindset and enhance their collaboration skills through team projects and group discussions, promoting the exchange of ideas.
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