Science Tokyo Academic Affairs News (December 2025 issue)

1.[Science and Engineering]Academic Calendar
The courses of 2026 will begin on Monday, January 5.
January 16(Fri), January 17(Sat)
No classes are held due to the University Admission Common Test and its preparation

2.[Science and Engineering]Course addition and Course cancellation period <4Q>
[Addition] October 16(Thu) - January 15(Thu)
[Cancellation] October 16(Thu) - December 23(Tue)
For details, please see
<Undergraduate school>
Course registration
<Graduate school>
How to register/add/cancel courses
*It is not allowed to cancel the courses after above canncellation period.(except intensive courses)

3.[Science and Engineering]Closure of Student Service Desks
Service desks at the following offices will be closed for the year-end and New Year's holidays, from Saturday, December 27, 2025 through Sunday, January 4, 2026:
Student Division on Ookayama and Suzukakedai Campuses, Student Support Division on Ookayama and Suzukakedai Campuses, Global Education Division, Admissions Division
Contact information: General inquiries

4.[Science and Engineering]Automated Certificate Issuance Machines Out of Service
Automated certificate issuance machines will be out of service from Saturday, December 27, 2025 to Sunday, January 4, 2026.
Machine locations and operating hours
Ookayama Campus:Hisao & Hiroko Taki Plaza (Taki Plaza), B1 Fl, B2 Fl.
Weekdays (excluding holidays) from 9:00 to 21:00
Suzukakedai Campus: J1 Bldg. lobby, Fl. 1
Weekdays (excluding holidays) from 8:30 to 17:30
Information:Certifications Issued by automated certificate issuance machines

(1) Entrepreneurship Courses/Workshops offered by ToTAL
Regardless of whether you are an undergraduate or a graduate student, any student* may take entrepreneurship courses that consist of a combination of various workshops to earn credits, or apply to join a single workshop. The following is information on workshops to be offered in 3-4Q.
*Course registration is not available to students in the medical & dental fields, but those students are also welcome to participate in individual workshops. (Credits and points will not be granted in that case.)
[Details]

(a) Advanced Negotiation
(An event of Science Tokyo SPRING (for Science and Engineering fields))
-Date and time: Thursday, December 4, 2025, 1:30 p.m. - 3:10 p.m.
-Venue: Room S6-309A, Ookayama Campus
-Outline: This workshop is an advanced class of "Negotiation process for consensus building". Students who have taken the 2-day workshop in the past may register for this workshop. Experience negotiation through role-plays (e.g., business negotiation, community disputes, family disputes, and cross-cultural negotiation) based on your interests, and learn the concepts necessary for consensus-building.
Registration of a minimum of 6 students is required to hold this workshop.
-Details and application

(b) Empower You Program
(An event of Science Tokyo SPRING (for Science and Engineering fields))
-Date and time: Wednesdays, December 3 and December 10, 2025 (Both classes from 5:00 p.m. - 6:30 p.m.)
-Venue: Room S6-309A, Ookayama Campus
-Outline: This peer-teaching workshop is proposed and led by students in ToTAL. This class uniquely combines reflective activities and skill-building exercises in an interactive format, allowing participants to dive deep into understanding themselves and enhancing their interpersonal skills.
-Details and application

(c) Debate Club
(An event of Science Tokyo SPRING (for Science and Engineering fields))
-Date and time: <Debate sessions> Tuesdays, December 9, December 16 and December 23, 2025 (All classes from 6:00 p.m. - 8:00 p.m.)
-Venue: Room S6-309A, Ookayama Campus
-Outline: This peer-teaching workshop is proposed and led by students in ToTAL. This class will provide the opportunity to (1) overcome the fear of public speaking and build confidence in delivering arguments, (2) develop logical structuring skills and persuasive argumentation, and (3) improve clarify and effectiveness in communication.
-Details and application

(d) Leadership Core Program (series of 5 classes)
(An event of Science Tokyo SPRING (for Science and Engineering fields))
-Date and time: Sundays, December 14*, December 21, 2025 and January 11, 2026 (All classes from 10:00 a.m. - 3:00 p.m.)
-Venue: Room S4-202, Ookayama Campus *Room I1-256, Ookayama Campus only on December 14
-Outline: This class is an introduction to leadership fundamentals, covering self-awareness, learning how to learn, communication, consensus building, and idea generation. Participants will explore their own leadership styles through discussions with people of various ages and fields.
-Details and application

(e) Book Dialogue for Leadership
(An event of Science Tokyo SPRING (for Science and Engineering fields))
-Date, time and venue:
[Japanese Class]
Thursday, January 15, 2026, 6:00 p.m. - 8:30 p.m. at Room J3-309B, Suzukakedai Campus
[English Class]
Friday, December 12, 2025, 6:00 p.m. - 8:30 p.m. at Room S6-305, Ookayama Campus
Tuesday, January 13, 2026, 6:00 p.m. - 8:30 p.m. at Room J3-309B, Suzukakedai Campus
-Outline: Students will read books on leadership development or insights on future society following a unique book club style called "Active Book Dialogue". In these classes, students grasp the main idea of the book quickly and discuss ideas with other students intensively. It can be a language training for students who wish to improve Japanese/English skills. Students may participate in a single class out of the above.
-Details and application

(f) Explore Your Collaboration Patterns (series of 3 classes)
(An event of Science Tokyo SPRING (for Science and Engineering fields))
-Date and time: Mondays, December 8, December 15, December 22, 2025 (All classes from 6:00 p.m. - 8:00 p.m.)
-Venue: Room S6-309A, Ookayama Campus
-Outline: Using the "Collaboration Pattern" card, this class will provide an opportunity for you (1) to deepen your self-understanding by discovering the patterns you use when collaborating and (2) to view your often-solitary research activities through the lens of collaboration and expand your perspective.
-Details and application

(g) Nonviolent Communication (series of 2 classes)
(An event of Science Tokyo SPRING (for Science and Engineering fields))
-Date and time: Fridays, January 9 and January 16, 2026 (Both classes from 5:00 p.m. - 8:00 p.m.)
-Venue: Room S6-309A, Ookayama Campus
-Outline: How can people with diverse values and opposing opinions understand each other and work together? The foundation is communication. Among the many skills to strengthen communication, Nonviolent Communication (NVC) has gained attention as a highly practical and effective approach. This skill can be applied both to everyday challenges in research groups and to broader dialogues among science, technology, and society.
-Details and application

(h) Idea-thon (series of 2 classes)
(An event of Science Tokyo SPRING (for Science and Engineering fields))
-Date and time: Saturdays, January 10 and January 24, 2026 (Both classes from 1:00 p.m. - 5:00 p.m.)
-Venue: Room S4-202, Ookayama Campus
-Outline: There are people all around us who are living in a "future half-step ahead" that no one has paid much attention to yet. Why not talk to such people and think about new business ideas to satisfy the real need you find from such conversation? This class will train you in generating business ideas using the methodology of "Design Thinking".
-Details and application

(i) Transforming Your Mind to Foster Innovation
(An event of Science Tokyo SPRING (for Science and Engineering fields))
-Date and time: Monday, January 12, 2026, 1:00 p.m. - 6:00 p.m.
-Venue: Room S4-202, Ookayama Campus
-Outline: Through art and observation, this class will provide an opportunity for you to notice overlooked sides of people and society. You will experience a "mental transformation" to foster innovative thinking.
-Details and application

(j) Systems Thinking and Leadership (series of 2 classes)
(An event of Science Tokyo SPRING (for Science and Engineering fields))
-Date and time: Sundays, January 25 and February 8, 2026 (Both classes from 10:00 a.m. - 4:00 p.m.)
-Venue: Room S4-202, Ookayama Campus
-Outline: In our society, causes and effects are not always found close to each other. This class will provide an opportunity for you to learn perspectives and methods for recognizing complex situations and creating desired outcomes, and to apply them to your own challenges.
-Details and application

(k) Systemic Design
(An event of Science Tokyo SPRING (for Science and Engineering fields))
-Date and time: Saturday, February 7, 2026, 10:00 a.m. - 6:00 p.m.
-Venue: Room S4-202, Ookayama Campus
-Outline: Systemic design is a methodology that combines the theory of Systems Thinking with the practical methods of Design Thinking to view difficult and complex problems as systems, consider the related elements and interactions, and design solutions. It incorporates the perspectives of multiple stakeholders, analyzes the problems of the target system from a bird's-eye view moving back and forth between parts and the whole, and used to consider sustainable and useful solutions.
-Details and application

(2) [Science and Engineering] Looking for interesting courses to take?
ToTAL offers ALL students (including students not registered in ToTAL) various kinds of courses which enhance your abilities, and those curricula must be worthwhile to experience. Take our courses if you are interested!　The following are some of the courses to be offered in 4Q.

-TAL.C502-02 Multicultural Collaborative Leadership F*
*International students: Please take "LAJ.C502 Japanese culture 4: Multicultural collaboration 4QA" of Japanese Language and Culture Courses.
-Language: Japanese
-Class day/periods: Fridays/Periods 3-4
-Classroom: Room W9-327, Ookayama campus
-Course description: Through text readings and discussions, students will learn the current situation of exchange between Japanese and international students, and conditions and theories of cross-cultural contact for prejudice reduction. Students are also expected to deepen mutual understanding through exchange and collaborative experiences with Japanese students, and to acquire multicultural communication skills and leadership from cognitive, emotional, and behavioral perspectives through this course.
*This course is an entrepreneurship-related course. (No GAs assigned)

-TAL.C603 The Psychology of Leadership
-Language: English
-Class day/periods: Mondays/Periods 5-6
-Classroom: Room M-103, Ookayama campus (Online for Suzukakedai students)
-Course description: This course aims to educate students on cutting-edge research in the psychology of leadership. Students will learn the 5R (Readying, Reflecting, Representing, Realizing, and Reporting) tools of Identity Leadership and analyze a real-life world leadership situation through this lens, which they will report on in a short presentation and discussion at a symposium to which we will invite a leadership researcher as an online keynote speaker.
*This course is an entrepreneurship-deemed course. (GA0D assigned)

(Reference) Entire course syllabi of ToTAL
*Note: ToTAL students take precedence when the seats are being allocated. For more information and latest information, please check our website, Timetables and Science Tokyo Syllabus.

[Contact] Academy for Leadership (ToTAL) Office
email: total@adm.isct.ac.jp

[Academy of Super Smart Society]

--- Free Online Courses ---
Why not enjoy free on-demand courses produced at our university, available to students worldwide, on a platform founded by MIT and Harvard University?
SSS Online

- Introduction to the Super Smart Society
- Programming for beginners: Learning basics with computer Shogi *
- Try Virtual Line Tracing: First Steps Toward Autonomous Driving *
- Introduction to Computer Science and Programming

* During the course, anyone can use MATLAB for free. Faculty and students in the Science, Engineering, Medicine, and Dentistry fields at the Institute of Science Tokyo can use MATLAB at any time.
Questions will be answered by MATLAB TAs via the course discussion board.

Inquiries: SSS Online Education　<sss-online@wise-sss.titech.ac.jp>


[Super Smart Society Promotion Consortium]

* Tours of Consortium Participating Institutions (2nd semester)
Super Smart Society Promotion Consortium will hold tours of participating institutions for students enrolled in Academy of Super Smart Society and all students, with the aim of gaining a deeper understanding of the companies and research institutions participating in the consortium, deepening mutual understanding, and exchanging opinions with alumni of our university. Three companies will be held in the second semester.
Valuable opportunities await-be sure to join!

# Japan Plant Factory
Date: Dec.17th, Wed.
Availability: maximum 20 persons

# National Institutes for Quantum Science and Technology (QST) Head Office (Chiba city)
Date: Dec. 22nd, Mon.
Availability: maximum 20 persons

Application and Detail（Campus network only):

Calling all students-sign up and join us!

If you have any questions, please feel free to contact us at any time.
Super Smart Society Promotion Consortium <sss-secretariat@sss.e.titech.ac.jp>

[Academy of Energy and Informatics]

-The 7th InfoSyEnergy Open Symposium Has Been Scheduled

We are pleased to announce that the 7th InfoSyEnergy Open Symposium will be held soon.
This year's keynote speaker will be Dr. Yoshinao Mishima, former President of the Japan Agency for Medical Research and Development (AMED), former President of Tokyo Institute of Technology, and Professor Emeritus at Science Tokyo.
We look forward to welcoming many participants.

Date: Friday, January 16, 2026 (starts at 13:30)
Venue: Kuramae Hall, Kuramae Kaikan (Ookayama Campus)
Format: Hybrid / Free of charge

For more details, please visit the website of the InfoSyEnergy Research and Education Consortium.

Inquiries: Management Office, Academy of Energy and Informatics
management_office@infosyenergy.isct.ac.jp

[For Science and Engineering Students] Notice of Institute-wide Courses for Graduate Students (Offered in 4Q)
400-Level Courses are also open to 4th-year undergraduate students!!

= (Progressive) Advanced Data Science and Artificial Intelligence 1 [Expansion of AI]
Deep learning is one of the artificial intelligence techniques using multi-layer neural networks, and has produced significant results in various fields such as image recognition, speech recognition, and natural language processing. In this course, we teach representative deep learning methods and their applications, which are important for researchers and engineers in science and engineering fields. The course deals with advanced topics that are not covered in the courses of Fundamentals of Artificial Intelligence and Fundamentals of progressive Artificial Intelligence.

- DSA.A501　 Advanced Data Science and Artificial Intelligence 1 [Expansion of AI]
Day/Period: Wednesday, Periods 5-6
Class Format: Livestream
Language: English
※The syllabus is available at this webpage.

- DSA.A601　 Progressive Advanced Data Science and Artificial Intelligence 1 [Expansion of AI]
Day/Period: Wednesday, Periods 5-6
Class Format: Livestream
Language: English
※The syllabus is available at this webpage.

= (Progressive) Advanced Data Science and Artificial Intelligence 2 [Expansion of Data Science]
Today, utilization of computation and data is required in various fields. In this course, we teach methods for analyzing and utilizing data using computers, which are important to be active as researchers and engineers in science and engineering. The course covers advanced topics that are not covered in the courses of Fundamentals of Data Science and Fundamentals of Progressive Data Science.

- DSA.A502　 Progressive Advanced Data Science and Artificial Intelligence 2 [Expansion of Data Science]
Day/Period: Wednesday, Periods 7-8
Class Format: Livestream
Language: English
※The syllabus is available at this webpage.

- DSA.A602　 Progressive Advanced Data Science and Artificial Intelligence 2 [Expansion of Data Science]
Day/Period: Wednesday, Periods 7-8
Class Format: Livestream
Language: English
※The syllabus is available at this webpage.

= (Progressive) Advanced Data Science and Artificial Intelligence 3 [AI and Society]
The rapid evolution of AI improves the convenience of our lives, but it also has social impacts. In this lecture, we teach the ethics of AI in the information society, the information law, and the technologies to realize responsible AI to cultivate a broad perspective beyond the boundaries of the humanities and sciences. This lecture deals with social issues of AI, which were not covered in the course of fundamentals of progressive artificial intelligence.

- DSA.A503　Advanced Data Science and Artificial Intelligence 3 [AI and Society]
Day/Period: Wednesday, Periods 9-10
Class Format: Livestream
Language: English
※The syllabus is available at this webpage.

- DSA.A603　Progressive Advanced Data Science and Artificial Intelligence 3 [AI and Society]
Day/Period: Wednesday, Periods 9-10
Class Format: Livestream
Language: English
※The syllabus is available at this webpage.

= Fundamentals of (Progressive) Data Science
In the current society, it is essential in all fields to appropriately exploit "big data" for finding rules and/or making predictions/decisions. This course gives fundamental knowledges and fundamental skills for handling large-scale data sets with the aid of computers.

- XCO.T487　 Fundamentals of Data Science
Day/Period: Tuesday, Periods 5-6
Class Format: Livestream
Language: Japanese
※The syllabus is available at this webpage.

- XCO.T677　 Fundamentals of Progressive Data Science
Day/Period: Tuesday, Periods 5-6
Class Format: Livestream
Language: Japanese
※The syllabus is available at this webpage.

= Exercises in Fundamentals of (Progressive) Data Science
In the current society, it is essential in all fields to appropriately exploit "big data" for finding rules and/or making predictions/decisions. This course aims to help students to manipulate computer software tools for data analysis to get new findings.

- XCO.T488　 Exercises in Fundamentals of Data Science
Day/Period: Tuesday, Periods 7-8
Class Format: Livestream
Language: Japanese
※The syllabus is available at this webpage.

- XCO.T678　 Exercises in Fundamentals of Progressive Data Science
Day/Period: Tuesday, Periods 7-8
Class Format: Livestream
Language: Japanese
※The syllabus is available at this webpage.

= Fundamentals of (Progressive) Artificial Intelligence
Artificial Intelligence is a research area that aims at artificially creating intelligence like humans. In recent years, artificial intelligence was successfully applied to various domains with the advances on machine learning and deep learning utilizing big data and computation power. This lecture expects students to acquire knowledge that is essential for creating applications of artificial intelligence, explaining fundamental concepts and theories of artificial intelligence.

- XCO.T489　 Fundamentals of Artificial Intelligence
Day/Period: Friday, Periods 5-6
Class Format: Livestream
Language: Japanese
※The syllabus is available at this webpage.

- XCO.T679　 Fundamentals of Progressive Artificial Intelligence
Day/Period: Friday, Periods 5-6
Class Format: Livestream
Language: Japanese
※The syllabus is available at this webpage.

= Exercises in Fundamentals of (Progressive) Artificial Intelligence
Artificial Intelligence is a research area that aims at artificially creating intelligence like humans. In recent years, artificial intelligence was successfully applied to various domains with the advances on machine learning and deep learning utilizing big data and computation power. This lecture expects students to acquire skills that are essential for creating applications of artificial intelligence, implementing fundamental concepts and theories as a computer program.

- XCO.T490　 Exercises in Fundamentals of Artificial Intelligence
Day/Period: Friday, Periods 7-8
Class Format: Livestream
Language: Japanese
※The syllabus is available at this webpage.

- XCO.T680　 Exercises in Fundamentals of Progressive Artificial Intelligence
Day/Period: Friday, Periods 7-8
Class Format: Livestream
Language: Japanese
※The syllabus is available at this webpage.

[Contact]
Center for Data Science and Artificial Intelligence Education
Email: office-se@dsai.isct.ac.jp

1. The following are some of the Entrepreneurship Courses to be offered in 4Q or currently offered in 3-4Q. Entrepreneurship is the mindset and skills that is required not only in starting a business, but also in various organizations in society, including companies, academia/research institutions, government agencies, international organizations, and NGOs/NPOs. Students are strongly recommended to take these courses!

<For undergraduate students (3-4Q intensive courses)>
= ENT.L202 Bachelor's Fundamental Group Work for Leadership B
-Language: Japanese
-Course description: Students may select two or more workshops to be offered in 3-4Q that you wish to take from 15-20 options, including one belonging to the "INITIATIVE" category, to obtain a total attendance score of 13 points or more for credit.
Details and eligible workshops (Syllabus)

= ENT.V204 Bachelor's Fundamental Group Work for Value Creation D
-Language: Japanese
-Course description: Students may select two or more workshops to be offered in 3-4Q that you wish to take from 15-20 options, including one belonging to the "INNOVATION" category, to obtain a total attendance score of 13 points or more for credit.
Details and eligible workshops (Syllabus)

<For graduate students (4Q)>
= ENT.V402 Master's Introduction to Entrepreneurship 2 (GA1M)
-Class day & period: Tuesdays, periods 3-4
-Language: English
-Venue: S4-202, Ookayama Campus
-Course description: This course aims to equip students with the essential skills and knowledge needed to launch new projects as entrepreneurs. It is designed to help students understand both the theoretical and practical approaches to entrepreneurship, enhancing their ability to generate and promote innovative ideas as entrepreneurs, as well as researchers, innovators within organizations, and social entrepreneurs.
Details (Syllabus)

= ENT.V602 Doctoral Introduction to Entrepreneurship 2 (GA1D)
-Class day & period: Tuesdays, periods 3-4
-Language: English
-Venue: S4-202, Ookayama Campus
-Course description: This course provides fundamental skills and knowledge for launching new entrepreneurial projects. It covers the process from identifying customers to developing business models and products and explores the opportunities and challenges faced by modern entrepreneurs. It aims to deepen students' understanding of the fundamental theories and practical approaches of entrepreneurship, equipping them to form and develop unique ideas, whether as entrepreneurs, researchers, or members of an organization.
Details (Syllabus)

<For graduate students (3-4Q intensive courses)>
There are four 500-level and two 600-level courses offered in 3-4Q as intensive courses. For details on each subject, please refer to the "Academy for Leadership" section of this newsletter or the workshops list on Academy for Leadership website.

[Contact] Leadership and Innovation Section, Center for Entrepreneurship Education
email: lead.innov_edu@cee.isct.ac.jp