Yonsei University

This class is open to students who are interested in financial engineering and artificial intelligence. Topics include Introduction to Python, Intermediate Python, Implementing binomial option pricing, Option pricing by simulation, Delta hedging, Introduction to Deep Learning in Python, Advanced Deep Learning with Keras and Deep Hedging. This course is paired with weekly lectures from the teacher on finance theory (focus on financial transactions, contracts, loans, market positions of buyers and sellers) to demonstrate how programming tools can be useful for optimizing financial decisions.

This class covers the fundamentals of biomedical engineering. In particular, biological systems are analyzed using the principles of mechanical engineering. This course topics include cellular biomechanics, hemodynamics, circulatory systems, respiratory systems, and muscle and skeletal systems.

This integrative course provides the knowledge and skills necessary to formulate, implement, and evaluate marketing strategies to solve problems in a dynamic global business environment through critical analysis of theories and application.

This introductory course provides an overview of detailed majors in pedagogy as a full-fledged preparation stage for teaching. It explores the overall knowledge of pedagogy as an instrumental knowledge of educational reality issues. Through this, it is expected that students will be able to form an integrated and organic perspective on education and pedagogy. The class focuses on problems discovered by educational philosophy, history, educational sociology, educational anthropology, educational psychology, curriculum, educational evaluation, educational administration, educational engineering, and educational counseling.