Teaching

CURRENT TEACHING DUTIES IN ACADEMIC YEAR 2020/21

SPECIAL TOPICS IN MECHANO-INFORMATICS II

Two lectures within a course offered by Graduate School of Information Science and Technology, The University of Tokyo

• Course number 4850-1022

• Lecture 9: 2020/6/10 - "AI and human brain: Brain-computer Interface (BCI) Applications"

• Lecture 10: 2020/6/17 - "AI for Time-series: Healthcare, Multimedia VR/AR, and FinTech Applications"

FORMER TEACHING DUTIES IN ACADEMIC YEAR 2018/19

BRAIN AND BEHAVIORAL MEASUREMENT FOR PSYCHOLOGICAL EXPERIMENT

Course offered by Faculty of Education Integrated Educational Sciences Developmental Sciences, The University of Tokyo

• S1/S2・Period 5・16:30~18:35・教育学部棟・159講義室 (Faculty of Education Building, Lecture Room #159)・April 9 ~ July 23, 2018

• The experimental lecture series will be given by Dr. Rutkowski who is a research scientist in an AI startup Cogent Labs Inc. in Tokyo. He also serves as a research fellow at The University of Tokyo. The lecture course objective will introduce behavioral and brain-science-related experimental designs and result analysis techniques. Each of the class will have several hands-on practical examples for students to practically learn or design and execute own small experimental paradigms. Results analysis techniques will be also overviewed using state-of-the-art analytical methods. Final classes will overview current hot and more futuristic experimental problems including AI as well as intelligence augmentation methods.

• Class website: http://tomek.bci-lab.info/teaching/utokyo2018/

FORMER TEACHING DUTIES IN ACADEMIC YEAR 2016/17

EEG & BCI EXPERIMENTATION WORKSHOP FOR PSYCHOLOGISTS

Graduate workshop at The University of Tokyo

• Beginners course for EEG & BCI experiments setup for students of Graduate School of Education, The University of Tokyo.

INTROCUTION TO BRAIN-COMPUTER INTERFACING

Invited lectures at Saitama Institute of Technology

• Lectures for graduate students introduction BCI problems and examples.

FORMER TEACHING & CLASS MATERIALS WHILE AT UNIVERSITY OF TSUKUBA 2011-2016

INTRODUCTION TO COMPUTATIONAL NEUROSCIENCE FOR ENGINEERS

Graduate course at University of Tsukuba

• Course website: http://tomek.bci-lab.info/teaching/cn

• The lecture course introduces neurotechnology applications connecting directly our brains with machines. Computational neuroscience is an approach to understanding the development and function of our brains. The lecture course covers the computational neuroscience basics and the brain-computer interface (BCI) solutions will serve as examples of neurotechnology applications. Basic level of the computational engineering mathematics and an understanding of the technical English will be necessary to follow the content of the course.

• The course is offered with The Computer Science English Program to foster a development of qualified researchers in the interdisciplinary computer sciences.

MATHEMATICS FOR COMPUTER SCIENCE

An undergraduate course taught by myself and Prof. Claus ARANHA at University of Tsukuba

• The course provides an introduction to elementary concepts of mathematics for computer science.

• Topics include: formal logic notation, induction, sets and relations, permutations and combinations, counting principles, discrete probability.

• Course website: http://tomek.bci-lab.info/teaching/math-cs/

"BIOMEDICAL ELECTRONICS" - A GRADUATE COURSE LECTURES AT TOKYO UNIVERSITY OF AGRICULTURE AND TECHNOLOGY, TOKYO

「バイオメディカルエレクトロニクス特論I」

1. Auditory and visual brain computer interfaces (BCIs): Acoustic and visual stimuli design, EEG signal acquisition and processing methods.

2. Tactile and imagery brain computer interfaces (BCIs), brain-to-brain interfaces and computational neuroscience approaches to sleep studies.

3. Data driven methods for biomedical signals processing - pros and cons.

Undergraduate course at University of Tsukuba

• Topics:

  • Neurotechnology applications

  • Brain- and human-computer interfacing

  • Multisensory (multimedia) brain responses analysis and stimuli development

  • Data-driven multichannel brain and biomedical signal processing

  • Lecture slides available here for download [link]

GLOBAL SOFTWARE ENGINEERING

• October'13 - January'14

• Videoconferencing multipoint interactive lecture course in cooperation with:

  • Ritsumeikan University, Kyoto, Japan

  • Tomsk State University of Control Systems and Radioelectronics, Tomsk, Russia

  • The University of Zurich, Zurich, Switzerland

  • BCI-lab-group at Life Science Center of TARA, University of Tsukuba, Tsukuba, Japan

• Hosted and designed by Prof. Victor V. Kryssanov from Ritsumeikan University, Kyoto, Japan

• Class'13/14 focus: Brain Computer Interfacing & Robotics co-advised by Prof. Tomasz M. Rutkowski, University of Tsukuba, Japan.

• This class is to acquaint students with global-social, managerial, and technical issues that have become increasingly important in modern ICT industry. Students would learn to interact with global collaborators – students and specialists from domestic and overseas organizations – while participating in distributed, international software-development projects. The combination of technical knowledge and socio-cultural competence taught explicitly and implicitly in the class would provide future generations of software professionals with the skills necessary to build innovative software in a global environment, and to successfully manage global software projects.

Conferencing hardware (PROJETPHONE PJP-25UR & MONITOR SPEAKERS MSP3 by YAMAHA) used by Prof. TM Rutkowski at University of Tsukuba was provided by YAMAHA Sound & IT Development Division in Hamamatsu, Japan.