Seoul National University

This advanced course is designed for students who are preparing to study Spanish extensively or enter a major. Students learn about grammar and writing styles and then develop their writing skills through writing practice and academic essay editing practice, and receive editing feedback from the instructor during this process. Presentations and various activities will be conducted in Spanish. 

This course is intended for students who have taken Intermediate Spanish 1 or have equivalent Spanish skills. 

This course covers basic modeling such as statistical processes, distribution theory, probability theory, and application methods. Topics include basic stochastic modeling, the theory of queues and its application to real cases. Students will have hands-on experience with popular simulation tools and be trained with both analytic models and popular simulation tools (SMPL, OMNet++, NS3). 

This course explores key concepts in agricultural and food supply chain management such as forecasting, inventory management, sourcing and procurement, and logistics within the agrifood industry. The course provides an overview of agrifood supply chain management for students interested in the agrifood industry. 

Topics include understanding the supply chain, inventory management, cycle inventory, distribution networks, transportation, sourcing, sustainability, managing economies of scale, and case studies.  

This course introduces the foundations of intelligent systems, such as probabilistic modeling and inference, statistical machine learning, computer vision, and robotics, to undergraduate students. Topics include Bayesian networks, hidden Markov models, Kalman filters, Markov decision processes, linear regression, linear classification, and nonparametric models. Students will also learn about how these methods are applied to practical applications such as computer vision and robotics. 

This course covers fundamental concepts in various computer vision topics related to robotics, examining approaches and solutions in visual recognition problems for robots. Topics include 3D environment modeling/3D reconstruction, and object detection, recognition, and tracking using deep learning. 

All students must complete an individual project on a related topic. Suggested prerequisites: Linear algebra and probability theory, programming skills. 

This course provides a thorough understanding of how sports technology and innovations evolve within the industry and equips students for careers in this dynamic and constantly evolving field. The course builds creative and critical thinking skills by examining real-life cases in the sports technology landscape, and as students participate in discussions and hands-on projects. Topics include wearable devices, eSports, data analytics, and sports marketing.  

This course develops basic volleyball skills, game playing skills, and a knowledge of the rules and practice of volleyball.

This course explores the concept and process of design thinking. Students will gain awareness of their own process, develop research skills and methods necessary for any design project, both in academia and in the commercial world, and examine methods for projecting plausible futures based on current trends. 

The course introduces the history and development of thoughts on design as a discipline and important concepts that have significantly contributed to design research and studies. Students will encounter curated design thoughts and assignments to help develop their own perspectives on design and produce useful/usable work pieces for their career.  

This course covers basic knowledge of modern biology that students studying natural sciences must have with an emphasis on life phenomena from a molecular interpretation. 

Topics include hormones, sensory organs, integration and coordination of the nervous system, movement, classification of organisms, ecology, and behavior. 

This course explores the interplay of parody, rewriting, and intertextuality in eighteenth-century British fiction and will examine how authors of the period and beyond engage with each other's works and with broader cultural contexts and norms. Through close reading, analysis, and discussion students will gain an understanding of the evolution of the novel form and its relationship to other forms, texts, and contexts.