English

The course introduces students to the study and representation of the everyday, the mix of sweeping trends and little things that make up the day-in, day-out of life. Via key themes (such as private and public space, rhythms and routines, streets and houses, interaction and alienation, boredom and surprise) we will analyse a selection of filmic, photographic and literary texts in which the everyday is portrayed (such as city symphonies, photobooks, literary fiction and documentaries).

This course begins by discussing the physiology of the cell and the function of the cell membrane. It then continues to cardiovascular physiology, respiratory, fluid, and salt balance, followed by the autonomic nervous system and the endocrine system and ending with gastrointestinal physiology, control, and feedback. This course is designed to be taken in combination with SKI2079 Lab Skills: Human Anatomy and Histology. Students wishing to take the Lab Skills should concurrently enroll in or have completed this course. Students wishing to take SCI2009 Human Physiology without taking the Lab Skills may do so. Prerequisites include Introduction to Biology. 

This is an introductory course on modern Artificial Intelligence designed for Keio University. The course is composed of two parts taught in consecutive semesters: material introduced in part A forms a foundational basis for part B (this course), which develops these ideas further and introduces a selection of more recent results based on guided reading of relevant publications. The two courses taken in sequence form a coherent introduction to neural Artificial Intelligence. The first course focuses more on theory and fundamental concepts, with implementation of basic techniques in Python. The second course (this one) aims to cover more practical engineering topics using modern practices, as well as introducing some of the most influential recent advancements based on a selection of research papers. Part B of the course also introduces some topics in more depth, based on the interests of the instructor. One of those topics is Natural Language Processing (NLP) in the era of Deep Learning, as well as advanced methods in representation learning.

This course introduces students to the field of Artificial Intelligence, focusing on Deep Neural Information Processing Systems. Since this is a rapidly developing field, it focuses on the most important trends and core ideas. The course follows historical trends in AI with a focus on neural networks, seeing how the current ideas emerged out of decades of research in the field; it then discusses current neural architectures and algorithms and introduces modern perspectives. Completion of this course leads to an appreciation and understanding of neural AI systems and anticipation of future developments in research and applications of AI, and Deep Learning in particular. In addition to theory, there will be emphasis on programming skills in Python. The course will implement deep neural AI systems and train students on standard data sets.

It is recommended that students complete both courses (A and B) in sequence. However, it is possible to take this course as a standalone, after consulting the instructor during the first lecture. In such cases, students should review the material from part A in their own time, as this course builds on previously introduced concepts.

This course provides a solid foundation of organic chemistry. It focuses primarily on the basic principles to understand the structure and reactivity of organic molecules, with examples illustrating the role of organic chemistry in daily life and industry. Topics: chemistry of common organic functional groups: ketones and aldehydes; carboxylic acids and their derivatives; amines; aromatic compounds. Principles of organic synthesis. Detailed considerations of reaction mechanisms. Spectroscopic tools (UV-Vis, IR, NMR, and MS) for characterization and identification of organic compounds. 

The purpose of this course is to explore various areas within healthcare/medical settings and understand the applicability of IE/OR/AI tools. Applications of Markov process, simulation modeling, and data analytics methods are discussed through case studies and papers in different care settings and areas. Topics include hospital resource optimization, decision support for public health sector, AI for personalized medicine, etc. 

This course is designed to provide participants with a practical and an experiential forum for developing cross-cultural competencies necessary for international managers.  This course exposes participants to critical issues of managing diversity in the context of understanding international business. It focuses on highlighting examples from Korean culture, society and business to draw insights to the impact of culture in business. 

The course considers the following questions:  

• What is global leadership?  How do I develop a global mindset? 

• What are the common challenges and pitfalls faced by global managers?   

• What are the PRACTICAL skills necessary for working with a global workforce? 

• How can I adjust my DOMINANT CULTURAL style to INTERACT WELL across cultures? What is Korean culture? 

This course offers a study of Spanish history from the end of the 19th century to the present.

This is a tutorial for the course LITERATURE OF THE ANGLOPHONE WORD: SHAKESPEARE. It focuses on close readings of two Shakespeare plays: one tragedy, HAMLET; and one comedy, AS YOU LIKE IT. 

The course looks at how plants work and how this knowledge is being used in crop improvement and biotechnology. The course is also about developing students' skills, from designing and analyzing experiments to finding, evaluating, and presenting information.
The course particularly explores aspects of plants that make them unique. It is centered on the processes underlying growth, development, and how plants interact with their environment and with the pathogens and symbionts that they share it with.
Students learn how plants use their genetic information and how this knowledge can be harnessed via the latest synthetic biology, gene editing, and high-throughput sequencing technologies available to improve crops and tackle climate change.