Yonsei University

This course deals with a series of recent issues in artificial intelligence (AI) focusing on the field of design, more specifically deep learning and architectural space design, for beginners. Students review the related technologies with cases, and the conceptual and intellectual issues on top of AI in the perspective of design. Not only focusing on the AI techs, but also surveying the qualitative/quantitative aspects of design with theoretical issues outside of the conventional state of knowledge are the objectives of this course, empowered by actual individual project developments. Theory lectures, case studies, survey on the references, and students’ participation in class are the materials for the course. In the technological standpoint, recent decade has marked a huge change in how we perceive and talk about general AI. Buzz words “Big Data” and “Machine Intelligence” also changes (or will change) the fundamental role of designers form conventional approaches, and we will take a look where to go via this course. The deep learning (DL) techniques, for example, have shown how end-to-end differentiable functions can be learned to solve complex design tasks involving high-level perception abilities. In association with this shift and effect to our domain-specific knowledge, design, we would keep eyes opening so that we can take max advantages from it.

Introduction to the fundamentals of food science and scientific principles underlying food preparation/processing associated with providing a safe, nutritious, and wholesome food to human consumption. Goal is to understand the basic principles and concepts involved in the preparation, processing, and storage of food and food products; to be able to use food science literature and information resources and to apply the working knowledge to the preparation, processing, and storage of foods. 

Prerequisite: General Chemistry or Science of Food Preparation

This course uses microeconomic theory to understand and evaluate law and public policy. It covers four main economic theory areas: property, contracts, torts, and legal processes. The economic theory of property section covers bargaining, protection of property rights, and the economics of government taking. In economic theories of contracts, topics include remedies as incentives, formation defenses, and performance excuses. Economic theory of torts examines tort liability, evidentiary uncertainty, punitive damages, and product liability law. The final section on economic theory of legal processes covers why people sue, settlement bargaining, and trials and appeals. 

This course focuses on the organization and function of eukaryotic cells. We will discuss in detail topics such as the major organelle systems, the cytoskeleton, the cell cycle, signaling events within cells and between cells, and cell growth and differentiation. Experimental approaches will also be introduced in the context of primary research articles.

This course is an introduction to the teaching of English to speakers of other languages. There is a practical emphasis on classroom techniques in language teaching, teaching observation, lesson planning, and classroom management. The goals of this course are to develop: (a) a basic understanding of the fundamental properties of language teaching, (b) several techniques for teaching the language skills, (c) the basic skills of curriculum designing and lesson planning, and (d) techniques of evaluating language teaching materials

This course covers the theories of modern deep learning and provides a practical opportunity to implement necessary deep neural network modules.

This course provides an introduction to human-computer interaction, specifically quantitative approaches to human-computer interaction research. It looks at what problems may arise in the process and how to solve those problems. It also explores how user studies are designed, conducted, analyzed, and reported.

Supply Chain Management (SCM) is responsible for, now on a global scale, the delivery of value-added goods/services in any organization – public or private, profit or non-profit. SCM costs in total typically exceed 25% of the cost of doing business, and logistics-related assets (including inventory) can represent as much as 50% of a company’s total assets. This course instructs and applies various key concepts of SCM and the related decision-making tools to solve practical supply/demand problems in the context of global supply chains.  The course discusses core SCM-related concepts including time-based inventory management, warehousing, transportation/distribution systems design, facility location decision process, and information handling in SC operations as competitive advantages in service-based emerging economies.

No specific prerequisite for this course, but an understanding of college-level algebra preferred.