
14717 items found.
Transcriptome analysis of non-model organisms
This course is a domestic fieldwork course jointly organized by ASEAN partner universities and Keio University. Students who participate in the fieldwork in Japan and aim to obtain an "EBA Perspectives" certificate will take this course in the semester following their participation in the fieldwork. SFC offers four fieldwork courses, two in ASEAN and two in Japan, so that up to four fieldwork courses in total can be included as credit-bearing courses. (However, due to the impact of COVID-19, the ASEAN fieldwork course is currently cancelled.)
Microbial bioinformatics
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.
The sustainable food value chain: a collaborative project with food producers
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.
Malay-Indonesian Immersion Week
Language and culture are not inseparable. Thus, language immersion week allows students to experience the Indonesian culture through language based activities through the program. Activities are designed thematically to ensure that students are capable to use Indonesian language. The activities are done to improve Indonesian language skills in a fun and supportive atmosphere. Students are encouraged to have culture encounter online or off line with Indonesian students or community.
Exercise for Human Movement Neuroscience
The aim of this project is to deepen sensorimotor physiological studies. In the first half, we will review various types of articles and try to find core of these studies, interpret their methodologies, and sophisticate your own research ideas. In the second half, we will construct experimental programs using Matlab software. Note that the second half of this project will be promoted by both online and onsite ways.
Applied Econometric Analysis
This project is a great opportunity for students to apply time series models to actual economic data. Working on empirical projects, the students will be able to understand the models and methods, and then, they will be able to think about possible extensions of those models/methods. In addition to MATLAB, which we usually use, we will be using more user-friendly packages such as Eviews and Stata. As for the models, we will be mainly using VAR for forecasts or decomposition of time series data on financial markets and macro-economy.