Syllabus Search Result

Geography is a study that researche on natural environment and human activities in the space on the earth, which consists of systematic geography and regional geography. In this lecture, we will learn about the latter, explaining current state and problems of “Global Cities” and industrial agglomerations in the global economy. We emphasize learning how to see things geographically, rather than simply memorizing knowledge.

(This course will be a GIGA-English course for AY2022, and in AY2023 will be offered in Japanese.) This lecture will combine the teaching of Aynu language to gain basic communicative competence, which enables us to delve into the rich world of Aynu culture manifested in its oral literature, with reflection on socio-political issues surrounding Aynu peoples and Aynu language revitalization in contemporary Japanese society.

Transcriptome analysis of non-model organisms

One of the essences of AI technology is the automation of intellectual labor. One of the extremes of intellectual labor is natural science research as well as artistic and creative activities. Actually, in the field of advanced scientific research, the rapid spread of information technology and robotics including AI is progressing, and the future image of the progress of scientific research itself being greatly accelerated by AI is coming soon.

In this course, students will learn how AI connected to experimental robots can discover new knowledge through repetitive experiments and hands-on exercises. Using a liquid handling robot that can be controlled using the Python programming language as a course material, students will experience the physicality of robots and how scientific experiments can be automated by robots by running the robot with programs written by the students and by performing the same experiments with their own bodies. In this course, students will learn about the physicality of robots and how scientific experiments can be automated by robots.

Mental health practices face boundaries and intermediates in the following areas: 1) clinical medicine (psychiatry) and social medicine (occupational mental health and school mental health), 2) Individuals and organizations, 3) normal psychology and psychopathology, 4) the ideal and the real, 5) humans and law, 6 ) consciousness and unconsciousness, 7) lecture and practice, 8) generality and specialty. In this course, we will discuss the boundaries and intermediateness that are the characteristics of "practical mental health" through group work, focusing on cases. This course aims to learn to understand the phenomenon of mental health in various fields from a multifaceted and comprehensive perspective.

The exponential growth of publicly available biological data enables researchers to perform data-driven (hypothesis-generating) analyses as well as hypothesis-driven analyses. Biostatistics and bioinformatics are essential for handling complex and large biological data. In this courses, students will study about practical data skills for turning large datasets into reproducible and robust findings. Students will tackle biostatistics/bioinformatics problems using freely available open source tools (i.e. Unix Shell and R/RStudio). Students from all disciplines will use the biostatistics/bioinformatics methods to tackle problems in their fields (biology, material, architecture, urban design, climate, social science, and so on). For examples, students will use microbiome data from soils and built environments (subway stations, bus terminals, schools, hospitals, International Space Station, and so on) to assess taxonomic and functional compositions of microbial communities, antimicrobial resistance (AMR), and mobile genetic elements such as plasmids and viruses including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Furthermore, one may identify covariates which influence the microbial community structures of their samples: city, population density, building surface types and materials, climate, economic and social factors. For the molecular evolutionary analyses, students will compare publicly available sequences of antimicrobial resistance genes and genes encoding single-stranded DNA-binding proteins (SSBPs) for identifying conserved regions (motifs) and inferring the phylogenetic trees.

　Food System Summit is held to discuss global issue about sustainable food system. Food companies have to consider and act what kind of business they should develop to realize the ideal future. In this project, workshop will be conducted to discuss the business strategy that food companies should engage in to build sustainable food system.