In addition to your application for our university, you are strongly recommended to send the following entry sheet to us 4 weeks before the entrance exam (usually until end of July) via e-mail.
Please also refer to list of our researches and publications.
Address:
Admission information of Department of Systems Innovation, School of Engineering, The University of Tokyo (You can also download past entrance exams)
Admission information session is held every May and June, and Entrance exam every summer.
The schedule of briefing session of Izumi Lab:
Tuesday, June 15th, 2021: 16:00- (JST)
Thursday, July 1st, 2021: 16:00- (JST)
Monday, July 12th, 2021: 16:00- (JST)
(JST=UTC+9)
This year, due to the novel coronavirus (COVID-19), all briefing sessions will be held online.
If you want to join these sessions, please contact us via the e-mail address above with your choice of the day. In addition, you should also submit the entry sheet above at the same time. After that, we notify you Zoom address of the session individually.
Curiosity for new research tasks and motivation towards making efforts by yourselves.
Not waiting for directions from the supervisor, but observing and researching targets carefully with your skills to find and solve problems.
responsibility for collaborative projects
communications with our members in our laboratory room
(A) required in some research tasks, (B) highly required in some research tasks, (C) required by advanced projects (we appreciate those who can do or master this.)
(A) Java -- For simulation
(A) Script language: Python (or Ruby) -- For text mining (natural language processing) or data mining
(B) Statistical programming: R -- For results analysis of data mining, text mining, simulation
(B) Database programming: MySQL etc. -- For data mining, text mining, data processing
(C) Distributed data processing programming: Hadoop -- For data mining, text mining, big data processing
(C) Parallel computing programming -- High-speed agent simulation
especially, knowledge for multivariate analysis and/or machine learning (not required, but desirable)
sometimes necessary
Seminar: 9:00-10:30 every Thursday
Assigned beforehand, 30 min. presentation + Q&A 10 min. for one presenter to present your research or related researches.
Study meeting
Not assigned, but present or discuss something you want casually