Yonsei University

This course explores traditional and experimental use of materials through the study of structures, forms, and surface design. Students are encouraged to pursue conceptual concerns; individual and group critiques are integral to the course. Students work on a few design projects as well as participate in field trips to art supply stores and markets.

This practical course builds the communication skills needed to succeed in today's competitive marketplace. It requires regular attendance as much of the of class time is spent working in groups to apply principles and strategies discussed in the course readings. The goals of this course are to competently handle business communication situations requiring such qualities as tactfulness, firmness, persuasiveness, and ethical behavior; to communicate in a responsible professional manner; to communicate in a concise, clear, intelligent manner; to operate in team-based projects in a competent, cooperative and constructive manner; to give oral presentations, either extemporaneous or impromptu, that are well-organized, clear, and understandable; and that use effective visuals; to demonstrate knowledge of the purpose, content, organization, and format of proposals and recommendation reports; to produce written documents that are free of errors; to format written documents that are easy to read and that are professional looking; to analyze communication situations and audiences to make choices about the most effective and efficient way to communicate and deliver messages; to provide feedback, accept feedback, and use feedback to improve communication skills; to write business documents that are grammatically correct and use appropriate business style; and to develop effective interpersonal communication skills.

This course covers foundational concepts of machine learning for beginners with limited programming experience. Students use elementary machine learning algorithms with programming languages, such as Python to solve real-life problems with data sets. In addition, this course develops the mathematical basis for students to understand how basic machine learning techniques such as singular-value decomposition, principal component analysis, and linear least squares for linear regression work.

The course is to introduces the basic concepts of Homological Algebra including modules, diagrams, functors, homology of complexes, tensor products, group homology, and cohomology. 

The course develops a sufficient understanding of fundamental financial accounting concepts, terminology, and techniques in order to comprehend typical corporate financial statements provided in annual reports and apply accounting knowledge to business decision-making. 

This course introduces students to the field of perception with a special emphasis on vision. Perception is central to our daily interactions with the world: we can effortlessly navigate through a city, comprehend fast movie trailers, and find a friend in a crowd through visual and auditory perception. While we take the rich perceptual experience for granted, visual perception involves a series of complicated cognitive processes beyond just opening our eyes. The course covers both existing theoretical frameworks and recent research findings in the field of visual perception. We will explore questions such as: How do we see the visual world? Do we see and remember correctly what’s in the physical world? How many items can we keep track of and remember at a time? How is the visual system structured and what are the neural mechanisms underlying visual perception?  

Prerequisites: Intro Psychology & Experimental Methods in Psychology. Knowledge of experimental design is necessary for this course