Syllabus Search Result

Recently, various types of metabolome analysis methods have appeared, and it is possible to measure a large number of metabolites. In this project, we will deepen our understanding of typical metabolome analysis methods and conduct metabolome analysis research using actual instrument.

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 analyzing programs using Matlab software.

In this project, we are going to explore the method for the student-coaches who want to motivate the athletes to lead them achieve their own goals with the psychological approach. The research targets enrolled in this attempt are the students who take charge of coaching for the sport team members of SFC. The student-coaches apt to be caught in dilemmas because they are not the managers but also not the players. They do not have much power as the managers have, and they are on an equal footing with the players. However, they are required to instruct the team members. Given these circumstances with the dilemmas, what kinds approaches effective for student-coaches to get the players motivated? We are going to pursue the efficacious methods through the practical examinations.

The tremendous growth of public biological databases has driven profound progress in modern biology. Bioinformatics and Biostatistics play an essential role in managing vast complex biological data. Students will acquire knowledge of the practical data science skills to transform large datasets into reproducible and reliable findings throughout this project. Students will use open-source tools (i.e., Unix Shell and R/RStudio) to solve bioinformatics/biostatistics related issues in their field of research (microbiology of the built environment, antimicrobial resistance and mobile genetic elements: plasmids and viruses). For instance, students will use microbiome databases from various environments (public transportations, hospitals, sewages, humans and animals) to assess phylogenetic and functional composition diversity of the microbial community, including plasmids and viruses harbouring colistin resistance gene or dog circovirus. Furthermore, students will study the covariates like locations, population density, climate, social/ economic factors and hosts that influence the structure of the microbial community.

In this course, students will study the ecology of various organisms living in the surrounding living environment by conducting the field-observation in two different ecosystems. Students gain an understanding of the field-based ecological study by gathering information, planning, and considering safety measures on their own.

This Special Research Project B aims to acquire the outstanding skills necessary to explore the perception science of spatial and textural information. In particular, we will focus on developing practical skills and understanding the fundamentals of psychophysical measurement methods and mathematical psychology. We will deal with perceptual and cognitive phenomena such as space perception, shitsukan perception, self-motion perception, visual information processing, perception and motion, and memory. We will touch on mathematical model construction and mathematical models using differential equations and linear algebra.

Workshop Seminar on Business Model Application for Social Problem Solving

Students will learn how to use the cancer cell line database (CellMinerCDB, TCGA, depmap, cbioportal, NLC mapper, NCBI, Human Protein Atlas, clinicaltrial.gov and others). Through these analyses, students will learn how anti-cancer agents act, and about DNA repair.
※CellMinerCDB enables exploration and analysis of cancer cell line pharmacogenomic data across different sources.
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CellMinerCDB： https://discover.nci.nih.gov/rsconnect/cellminercdb/
CellMinerCDB enables exploration and analysis of cancer cell line pharmacogenomic data across different sources.
TCGA (The Cancer Genome Atlas)： https://portal.gdc.cancer.gov
Database of cancer tissue analyses and the patient prognosis.
Depmap： https://depmap.org/portal/
The analysis tool of cancer cell line pharmacogenomic data across different sources. The essentiality of each gene is validated by gene knockdown or gene knockout.
cBioportal： https://www.cbioportal.org
The cBioPortal for Cancer Genomics is an open-access, open-source resource for interactive exploration of multidimensional cancer genomics data sets. The goal of cBioPortal is to significantly lower the barriers between complex genomic data and cancer researchers by providing rapid, intuitive, and high-quality access to molecular profiles and clinical attributes from large-scale cancer genomics projects, and therefore to empower researchers to translate these rich data sets into biologic insights and clinical applications.
NLC mapper: https://nls-mapper.iab.keio.ac.jp/cgi-bin/NLS_Mapper_form.cgi
Nuclear location signal analysis tool developed by a Kieo IAB team.
NCBI: https://www.ncbi.nlm.nih.gov
The National Center for Biotechnology Information advances science and health by providing access to biomedical and genomic information.
Human Protein Atlas: https://www.proteinatlas.org
The Human Protein Atlas is a Swedish-based program initiated in 2003 with the aim to map all the human proteins in cells, tissues, and organs using an integration of various omics technologies, including antibody-based imaging, mass spectrometry-based proteomics, transcriptomics, and systems biology. All the data in the knowledge resource is open access to allow scientists both in academia and industry to freely access the data for exploration of the human proteome.
The Human Protein Atlas consists of ten separate sections, each focusing on a particular aspect of the genome-wide analysis of the human proteins.
clincaltrials.gov: https://www.clinicaltrials.gov
ClinicalTrials.gov is a database of privately and publicly funded clinical studies conducted around the world.

Research on deep learning-based autoregressive and generative models has made remarkable progress in recent years. Moreover, it is being applied not only by researchers but also by artists, musicians, and performers in creative manners. After a hands-on lecture, students will work in groups to create their artworks/music in this seminar.

By using cross-modal AI models, such as the CLIP model, we'll prototype installation pieces for the coming exhibition of Tokui Lab at InterCommunication Center.

The East Hokkaido region is an area that retains unspoiled nature, including wetlands, lakes and marshes, and natural coastlines. Rich flora and fauna, as represented by red-crowned cranes and tufted puffin, have also been conserved. Among the natural parks in East Hokkaido, we will visit Kushiro Shitsugen National Park, Akan-Mashu National Park, Akkeshi-Kiritappu-Konbumori Quasi-National ParkAkkeshi-Kiritappu-Konbumori Quasi-National Park, and Notsuke-Furen-Prefectural Natural Park to learn about the origins of their natural environments and their flora and fauna.

The Augmented Town research project aims to build a new town platform using the latest technologies in XR and robotics, targeting a specific area in Tottori Prefecture as a model case. The keyword for this special research project is “augmentation”. While preserving the good old parts of the community, we will introduce various state-of-the-art technologies to prototype a system that will create new value and presence in the town.

We will consider the future direction of agriculture and food in Japan based on discussions with farmers and startups in "Tokachi".

Since the end of the last century, the complete genomic sequences of many organisms have been determined. The impact of these genome projects on the various fields of science has been enormous. It could be said that we now have in our hands “the blueprints of life” for these organisms. At the beginning of the 21st century, it became apparent that large numbers of noncoding RNAs are, unexpectedly, encoded in these genomes. These RNAs are not translated into proteins but act as riboregulators, and have had another huge impact on the life sciences. More recently still, a new tide of research into the classical noncoding RNAs, such as the transfer RNAs (tRNAs), has arrived. In this project, we are especially focusing on the following subjects: (1)To organize main biofilm components and their biosynthesis genes. (2) To survey VP24 protein across all species of the Ebolavirus. (3) To survey CSD protein as a transcription elongation function indicator.

This is an introductory class for freshers at Faculty of Policy Management. SFC's Faculty of Policy Management was the first undergraduate faculty/department focusing on policy studies in Japan. How it started, has developed and will evolve are discussed at first. Then, we will explore very basic concepts of public administration, area studies, legal studies, business management, international politics, and international economics. These areas and disciplines are core basis for policy studies.

In this class, we will explain what kind of academic field “Environment and Information Studies” is (Novel Computing and Communication Systems, Design Engineering and Media Art, Advanced Biosciences, Environmental Design, Human Environment) and what it aims to achieve. I will explain the basic things you need to know when studying at the Faculty of Environment and Information Studies, and introduce what kind of education and research is being conducted in each field.

This is a course designed for students who are eager to improve their basic speaking and listening skills.
We will meet twice a week for a total of 4 periods (Koma).
In the 1st period, we will learn TOEFL test taking strategies; focusing mainly on the listening section.
In the 2nd period, we will focus on improving communication skills by taking part in pair work and group discussions, also giving individual and group presentations.

The acquisition of communication based foreign language skills, which students can competently practice in their daily life, is the top priority goal of German education at SFC. In this course new topics and grammar will be introduced every week. The learning materials are developed to match the student’s school life, area of study and personal interests while studying at SFC. The steps of the grammar lessons as well as the important subjects are all based on the curriculum at SFC. The students will learn around 10 key sentences as well as 40 to 50 words per week. In one semester they will be freely able to communicate with 100 to 150 key sentences and 700 words. Students who will complete the intensive courses 1 and 2 will be able to acquire all basic German grammar, which will be equivalent to the A2 level of CEFR. ("Basic 1" and "basic 2" are equivalent to the "intensive course 1" level.)