Syllabus Search Result

In this lecture, we will discuss computing systems that deal with Behavior and Affective (human internal states such as emotion and mood). We will discuss the background, concepts, technologies, construction methods, application examples, utilization, social implementation, and challenges of advanced research in this field. Students will learn practically through assignments to actually create such programs, and at the end of the semester, two or three students will work on a mini-project.

In this lecture, we will learn about the nature of art and science, the relationship between the two, and the new realms created by the two. The lectures will consist of lectures, workshops, and guest lectures.

_How can we use computers and other artificial systems to break the limitation of our imagination and enhance human creativity? Computational Creativity is a multidisciplinary research field to tackle this very question._

In this course, students will learn the basics of AI techniques such as Deep Learning and explore the possibility of various applications of it in the field of art (media art, sound art, graphics, literature, fashion design etc.). Through both technical aspects of AI and aesthetics of the artistic expressions, we'll try to critically contemplate the impact of AI on human beings as we know now and the society of the future.

Our seminar consists of the following three activities:

[Goup Project]
We have four internal group projects (Music Generation, AI Visuals, AI Media Art, the future of DJ). You'll join one (or multiple if you wish) of them and work with your teammate. I hope you can deepen your understandings of the field by working actively on the project.

[Personal Proejct]
Besides the group projects, I expect you to work on a small personal project within the field of Computational Creativity. We are going to organize brainstorming sessions to help you to choose the topic.

[Book reading club]
To understand and discuss the impact of new technologies from broader perspectives, you have mandatory reading assignments. This semester, we will read the following two books: Richard Dawkins's "Selfish Genes" and Kevin Kelly's "Technium."

Unlike "building" as an existence and "construction" as an activity, "architecture" is an idea and a concept. If the consciousness of artificial work on the environment is the origin of architecture, it is rather natural that it is the most primitive intellectual creation act of mankind, and that it is a comprehensive and boundary existence that has corresponds with all areas. Currently, the research subjects and activity areas that architecture should deal with are dynamically expanding and merging due to various factors such as social changes, progress of computerization, and needs for coexistence with the natural environment. Today, the ability to cooperate with other fields in various aspects, from aspects such as urban development planning to devising construction technology, is necessary for a practical experience in the field of architecture, . In SFC, "architecture" is not fixed or dogmatic, but exists as a common item of creative and comprehensive intellectual activities across faculty members with various areas of interest. On top of that, in order to acquire the ability to carry out this on a realistic social system, the students will get review on their project of "architecture" that is being tackled from a different approach depending on each research theme. The purpose is to acquire the ability to expand the architectural domain and realize the fusion with new fields by exchanging it in and comprehensively verifying it from the viewpoint related to the practice of architecture.

This course offers an introduction to the rapidly-growing field of probabilistic computing, which brings together probabilistic modeling and inference techniques with symbolic computation and neural networks. Students will see a broad range of probabilistic computing applications, and will gain familiarity with how to frame artificial intelligence tasks as the problem of probabilistic inference in a generative model. Students will also learn about several inference techniques, and understand the distinctions between probabilistic computing and other machine learning methods.

We would like to provide knowledge on some practice in data analysis.

In the practical data science process, modern machine learning models and statistical models are only one element of the entire business process.
It is important to utilize these technologies in the multiple knowledge accumulated in the field of business in the past.
In this course, this process is interpreted as “Heuristic Computing”.

The following contents are not dealt with in this course:
- Modern Machine Learning Algorithms / Statistical Models
- Overview, implementation, use case
- How to improve the performance of machine learning models.
- Business Model using AI

This course aims to introduce the theory and practice of international relations and diplomacy, and the impacts in the Indo Pacific region. It will explore key international players and institutions. Major global challenges will be analysed: climate change; public health; migration and demographic change; populism. We will discuss some of the tools used to address these issues: trade and investment policies; aid and development; public diplomacy and soft power.

　This timely 7-day seminar focuses on the fashioning of cutting-edge studies and applied pragmatics. It will be run by Professor Yuko Nakahama, our full time SFC faculty, and Dr. Andrew Cohen, Professor Emeritus from University of Minnesota who is a world famous researcher in the field of applied pragmatics. It is our pleasure to have Dr. Cohen on board; there is no better person to discuss cutting-edge studies in applied pragmatics. The course will start by introducing basic concepts in applied pragmatics followed by sessions on how to conduct research in this field. Each participant will design a study and undertake preliminary efforts to identify relevant background literature and pilot possible instruments that could be used in the collection of data.
　The seminar will be open to both Japanese and foreign students, at graduate or undergraduate level, ideally those with some background in the conduct of research. It would also be beneficial but not essential for them to have some understanding of the principles of pragmatics. Students are expected to submit a paper that includes purpose of pilot research, annotated bibliography of literature, research questions and the design of the study by 30th of October, 2021. The paper can be written in English or Japanese.

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.