Seoul National University

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.  

This course provides an overview of food preservation by thermal processing, drying, freezing, and fermentation. The principles of preservation by controlling microbial and enzyme activity will also be studied. Topics include causes of spoilage of stored foods, such as the action of microorganisms; the action of enzymes; the oxidation reactions of food components; and the principles and techniques of food storage through refrigeration, freezing, drying, canning, and irradiation. The course emphasizes the manufacturing principles of fermented foods as well as characteristics of food packaging materials and the principles of food packaging. 

This course introduces the basic theories of geophysics, such as the shape of the Earth, the Earth's gravitational field, the Earth's magnetic field, plate tectonic geodynamics, propagation of seismic waves, and the process of earthquake epicenters. Physical phenomena and conditions occurring inside the Earth from the surface to the center of the Earth are analyzed using physical methods and interpretations such as gravity, wave propagation, electricity and magnetism, and heat transfer. 

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.