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This course examines music focusing on its social, cultural, economical, and commercial aspects. It surveys major genres of Western classical music including opera, mass, concerto, chamber music, sonatas, as well as a variety of popular music genres such as jazz, blues, country, musical, rock, pop, folk, disco, soul, hip-hop, and trot. By analyzing different music repertoires based on their historical and social background, this course develops an understanding of music elements such as musical form, harmony, chords, scale, rhythm, and performance practice, as well as social and economic mechanism of music such as production, distribution, and consumption.
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This course examines the concept of psychological health and diverse biopsychosocial factors that may be indicative of psychological distress. It looks at the integration of internal (e.g., personality) and interpersonal (e.g., conflict) factors that may contribute to our psychological and physical health. Topics include body and emotion, self-identity, family and interpersonal relationships, and academic and professional performance.
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This course explores the basic concepts of artificial intelligence principles and programming. It practices theories on machine learning, deep learning, and reinforcement learning through simple examples and solves various (social) problems using artificial intelligence as a tool. Topics include Python Basics, NumPy, and Matplotlib.
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This class explores the meaning and necessity of interpersonal relationships, major psychological variables that affect human interpersonal relationships; and the meaning and characteristics of human relationships between family members, peers, and colleagues.
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This liberal arts course provides a study of and appreciation for classical music.
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This course analyzes how social problems can be approached through social policy and welfare organizations. It focuses on problems that are endemic to Korea and explores possible solutions.
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This class solves problems by implementing sensors, algorithms, and actions. The process of solving problems (system proposal, design, implementation, evaluation, discussion, issue derivation and correction, implementation of final results) is carried out in stages through the project, and the systematic problem-solving process is learned through communication between team members.
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This course focuses on enhancing advanced Korean language skills through newspaper and magazine articles, and texts on the society, culture, and history of Korea. During the first half of the course, it covers topics related to Korean orthography and grammar. In the second half of the course, focus is on academic writing in Korean. Students practice analyzing, summarizing, and orally presenting their responses to a variety of Korean texts including newspaper articles, and practice writing diverse texts related to college life such as study/research plans, self-introductions, and academic papers.
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This course provides a study of how to build Python programs using fundamental programming structures like variables, conditional logic, looping, and functions. It looks at how to process data using lists, tuples, and dictionaries in Python programs; and how to read and write files in Python for data analysis. It explores problem-solving procedures, data representations, and algorithms through computers, and teaches practical programming techniques that can express the problem-solving process in Python programming language.
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This course applies concepts and theories of social psychology to explain human behavior related to clothing. Major concepts examined include psychological factors such as personal characteristics, desire, and self-concept, as well as social factors such as sex, age, role, status, symbolic communication, and impression formation.
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