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(This course will be in Japanese for AY2021, and in AY2022 will be GIGA-English course. Read the Japanese version of the syllabus for detailed information.) 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.
Digital Signal Processing (DSP) is the central technology in image and voice recognition, sound processing, remote sensing and wireless communication. The penetrations of tiny and affordable sensors and computers and the high performance computing available with cloud services result in DSP everywhere. However, because of the discrete nature of digital signal, DSP needs to be properly implemented and the results should be properly comprehended. Otherwise, DSP may lead us to a solution which is artificially produced by its discrete nature. In this class, students learn the theory and principles of digital signal processing through hands on using MATLAB/Simulink. This class proceeds with the hands-on-first, theory-later policy. Every topic, we basically start with the implementation of signal processing system or application , then later study how and why it works that way with the minimum set of theoretical study.
Music is ubiquitous in our environment. A question in this course is how music is processed in our brain and how we can design the environment and change our brain functions with music. Recently, an emerging research field of Music and Neuroscience (“Neuromusic”) has been elucidating the neural correlates of music perception, cognition, and performance. In this course, I will overview what has been known so far in the Neuromusic research from the integrated point of view of Neuroscience, Evolutional Biology, Developmental Brain Science, Human Movement Science, and Cognitive Science.
Kelas Skill adalah kelas untuk mahasiswa yang sudah menyelesaikan kelas Intensif 2. Kelas ini juga bagi mahasiswa yang ingin mengasah Bahasa Indonesianya untuk menjadi semakin lancar dan juga mahasiswa yang ingin belajar kosa kata khusus serta kondisi sosial untuk mempersiapkan diri bekerja di perusahaan atau institusi Jepang-Indonesia. Selain itu, juga bisa meningkatkan kemahiran membaca dan mengutarakan pendapat dalam Bahasa Indonesia. Kelas ini dapat diambil berulang kali bagi mahasiswa yang telah memenuhi syarat.
This a intermediate class. You have to pass Intensive 2 to be able to enroll in skill. This course explores four language skills and also communication skill.
Outline of this course
Whether you are going to do some kind of business or go into the company, data-driven analytical problem-solving skills and hands-on understanding of data utilization are essential in the days ahead.
This course aims to develop minimum data literacy to survive in this data-driven age for the students with a practical basic understanding of analytical thinking and data literacy (skills covered in the “Data-Driven” basic class), on the assumption that they do not have much experience in data analysis and utilization.
In this course, we will cover introductions to data preparation, data visualization, and machine learning including deep learning.
Classes will be conducted interactively as much as possible. We will invest a considerable amount of time for each homework review and answers to the questions received in a weekly questionnaire.
★ This course will be delivered to a student who completed the introductory Data-Driven class successfully (just audited students are not allowed).
★ This is not a course to nurture experts in information science and big data processing
- Natural language processing
- Image processing
- Machine learning
- Data infrastructure construction
- Real time processing, etc.
■Expected students
Those who really want to make a change by analyzing the data and utilizing the data rather than information science nerds.
People who want to understand how data and analysis are delivering the values in this world and who want to acquire basic skills on them.
People who want to get the feel of how the data can be used for general decision making.
People who have tried various analyzes so far, but who do not get the point of value creation using data.
Sequence analysis is a broad field, covering any kinds of analyses of textual sequences; e.g. those representing genomes (DNA) and proteins (amino acids). The biological sequence analyses include determining genome structures, identifying protein-coding regions (genes), predicting gene function, inferring phylogenetic relationships, and ancestral reconstruction (Coghlan, 2011; Hall, 2017). Recent studies showed that genomics and phylogenetics can track spread and evolution of novel coronavirus ([https://nextstrain.org/]). The sequence analysis methods have been used not only in the field of biology, but also in genealogy of manuscripts (Barbrook et al., 1998) and quantitative evaluation of melodic similarity (Savage et al., 2018). Thus, text-processing skills necessary to analyze sequence data can be applied to the analysis of data in other fields.
This course will provide the introduction to the main tools and databases used in the analysis of sequence data and explains how these can be used together to answer biological questions. Examples of analysis include retrieving DNA and protein sequences from public databases, DNA sequence statistics (length, GC content, DNA words, and local variation in base composition), pairwise sequence alignment (dotplot, global sequence alignment, and local sequence alignment), multiple sequence alignment, and phylogenetic inference, etc.
Students from all disciplines will use the sequence analysis methods to tackle problems in their fields (biology, language, manuscript, music, etc.).
We review the calculus studied in a high school and generalize it for functions with several variables. Tangent lines (linear approximation) are generalized to Taylor expansions (polynomial approximation). For their applications, we consider extreme problems. We then study calculus with several variables - partial differentials, extreme problems, and extreme problems with restrains. Furthermore, we refer to multiple integrals and repeated integrals.
Introductory sessions for strategic management
Management studies as a field of social science
to be found at iber.sfc.keio.ac.jp
Management Studies: searching for the future best practice through research and practice
to be found at iber.sfc.keio.ac.jp
Management studies as a field of social science
to be found at iber.sfc.keio.ac.jp
Management Studies: searching for the future best practice through research and practice
to be found at iber.sfc.keio.ac.jp
Research in Econometrics and Applied Statistics
We will be studying Vector Auto-regressive (VAR) models, both theory and applications. To this end, the students of this seminar will be required to use MATLAB and Eviews.
Topics in International Economics
We will be reading the textbook, as we did last year. If necessary, lectures on international macroeconomics will be given. We will be also reading newspaper articles.
Research in Econometrics and Applied Statistics
We will be studying Vector Auto-regressive (VAR) models, both theory and applications. To this end, the students of this seminar will be required to use MATLAB and Eviews.
Topics in International Economics
We will be reading the textbook, as we did last year. If necessary, lectures on international macroeconomics will be given. We will be also reading newspaper articles.
International politics around Japan and in the world is changing. Especially in East Asia including the Sea of Japan, the East China Sea and the South China Sea, there are heightened tensions. Therefore, it is crucial to revise Japan's defense policies. National Defense Program Outline of the Japanese government was published in 1971 for the first time, and was not revised until 1995. However, after that, it was revised in 2004, 2009, 2013 and 2018. Intervals have become shorter. In this class we will compare and analyze defense policies of Japan and other countries, and review the change and the expansion of operational domains including land, sea, air, space and cyberspace. Non-traditional security issues in the environment, the Arctic Ocean and newly developed technologies are also considered. The goal of this class is to think of defense policies to achieve peace in international relations.
An operating system is the most basic software system which manages CPU, memory, device, etc. of a computer and provides an environment in which an application program runs. Specific operating systems include Windows 10 provided by Microsoft Corporation, Mac OS X provided by Apple, and Unix.
In this class, lectures on functions and concepts of the operating system.
Object Oriented Programming (OOP) is a programming style that uses the concept of classes to organize programs as components and combine the behavior of those components. Programs can be written without using the concept of "class", but in order to make it easier for you to understand and for others to read when you write programs, you write programs using "class".
When you master object-oriented programming, you will be able to quickly create useful programs by combining parts: classes created by others, or create large programs by yourself.
In this class, you will learn OOP by repeatedly studying the concepts necessary for OOP and practicing writing actual programs.
OOP is a programming method used in a variety of languages, but in this class we will learn OOP using Processing, a subset of the Java language.