The objective of this project is to acquire basic knowledge and skills for social computing tasks by investigating literature such as research design, data crawling, data processing, data analysis, etc.
Schedule
15 hours during Quarters II-IV
Acceptable for student from October
Yes
Equipment or software to be used
Python
Text, reference
Will be provided as necessary.
Maximum number of participants
4
Selection criterion in case of overflow
Students in Social Computing Lab. are prioritized.
The objective of this project is to acquire advanced knowledge and skills for social computing tasks by surveying papers presented in recent top conferences and those published in journals. The participants will design a task and implement and evaluate systems for the task.
Schedule
15 hours during Quarters II-IV
Acceptable for student from October
Yes
Equipment or software to be used
Python
Text, reference
Will be provided as necessary.
Maximum number of participants
4
Selection criterion in case of overflow
Students in Social Computing Lab. are prioritized.
The goal of this exercise course is not only to develop programming skills but also to gain experience in the software development process, from high-level design to detailed implementation, and to acquire project management skills through a team-based project targeting a medium-scale, functional application.
Schedule
4th quarter
Acceptable for student from October
Yes
Equipment or software to be used
ITC's laptops
Text, reference
No texts but materials will be distributed as needed.
Maximum number of participants
5
Selection criterion in case of overflow
Selection will be made through interviews.
Notes
ディペンダブルシステム学
(A7-1) ディペンダブルシステム学先端技術調査
Dependable System
(A7-1) Investigation of state-of-the-art research in dependability
Investigation of state-of-the-art research in dependability
Overview of the project
Participants read papers on state-of-the-art technologies in dependability including autonomous mobile robot swarms, self-stabilizing distributed systems, and integrated circuit reliability, and deepen understanding through presentations by each person and discussion among participants.
Schedule
15 hours in Semesters II & III
Acceptable for student from October
Yes
Equipment or software to be used
Note PC
Text, reference
Nothing
Maximum number of participants
1
Selection criterion in case of overflow
Interview
Notes
ディペンダブルシステム学
(A7-2) ディペンダブルシステム学先端技術実践
Dependable System
(A7-2) Implementation of state-of-the-art research in dependability
Implementation of state-of-the-art research in dependability
Overview of the project
Participants implement and evaluate state-of-the-art technologies in dependability including autonomous mobile robot swarms, self-stabilizing distributed systems, and integrated circuit reliability, and learn implementation skills and evaluation methods.
Goldsmith, A. (2005). Wireless communications. Cambridge university press.
受け入れ可能人数
3
希望者が受け入れ可能人数を越えた場合の選択基準
自研究室優先
特記事項
Project ID
A8-1
Instructor, laboratory, or group
Network Systems
Project title
Wireless transmission - Basic
Overview of the project
The objective is to set study theme on wireless/wired communication technique. The participants learn basic skill of the signal processing technique and related evaluation method through reading journal papers and text.
Schedule
2nd to 4th Semesters
Acceptable for student from October
Yes
Equipment or software to be used
PC, matlab, python
Text, reference
Goldsmith, A. (2005). Wireless communications. Cambridge university press.
Goldsmith, A. (2005). Wireless communications. Cambridge university press.
受け入れ可能人数
3
希望者が受け入れ可能人数を越えた場合の選択基準
自研究室優先
特記事項
Project ID
A8-2
Instructor, laboratory, or group
Network Systems
Project title
Wireless communication - Advanced
Overview of the project
This course gives a computer simulation method for a wireless communication. The participant develops programming skill for implementing digital modulation, fading channel, OFDM, spatial filtering techniques.
Schedule
2nd to 4th Semester
Acceptable for student from October
Yes
Equipment or software to be used
PC, matlab, python
Text, reference
Goldsmith, A. (2005). Wireless communications. Cambridge university press.
Maximum number of participants
3
Selection criterion in case of overflow
Student who is a member of the Network Systems Lab. are prioritized.
The objective of this project is to learn fundamental techniques in human-AI interaction by performing common tasks such as spoken language processing, natural language processing, and human-machine interaction.
Schedule
15 hours during Quarters II-IV
Acceptable for student from October
Yes
Equipment or software to be used
It is task dependent (Python, etc)
Text, reference
Will be provided as necessary.
Maximum number of participants
2
Selection criterion in case of overflow
Students in Human AI Interaction Lab. are prioritized.
The objective of this project is to investigate advanced research on human-AI interaction published in the latest top conferences and journals to deepen our understanding of related technologies. In addition, we will design tasks using audio, text, or image data, and implement and evaluate the system.
Schedule
15 hours during Quarters II-IV
Acceptable for student from October
Yes
Equipment or software to be used
It is task dependent (Python, etc)
Text, reference
Will be provided as necessary.
Maximum number of participants
2
Selection criterion in case of overflow
Students in Human AI Interaction Lab. are prioritized.
Notes
Programming skills are required.
ユビキタスコンピューティングシステム
(B11-1) 主観カメラを用いた行動意図認識
Ubiquitous Computing Systems
(B11-1) Activity intention recognition using ego-centric camera
課題 ID
B11-1
担当教員・研究室・グループ
ユビキタスコンピューティングシステム
課題名
主観カメラを用いた行動意図認識
実習の概要
主観カメラ映像を用いて，行動者の行動認識および行動意図認識の実現を目指す．
実習日程の概要
夏～冬にかけて実施
秋入学学生の受入れの可否
Yes
使用する主な装置、ソフトウェアなど
Pytorch, OpenCV, etc,
教科書、参考書
なし
受け入れ可能人数
2
希望者が受け入れ可能人数を越えた場合の選択基準
面談の上決定
特記事項
Project ID
B11-1
Instructor, laboratory, or group
Ubiquitous Computing Systems
Project title
Activity intention recognition using ego-centric camera
Overview of the project
This project aims to realize the recognition of actors' activities and activity intentions using ego-centric camera images.
Schedule
Conducted from summer to winter.
Acceptable for student from October
Yes
Equipment or software to be used
Pytorch, OpenCV, etc,
Text, reference
Nothing
Maximum number of participants
2
Selection criterion in case of overflow
Interview
Notes
計算行動神経科学
(A13-2) 脳・行動数理モデル演習
Computational Behavioral Neuroscience
(A13-2) Exercises in computational modeling of brain and behavior
Exercises in computational modeling of brain and behavior
Overview of the project
This project will provide exercises on basic knowledge and techniques used for behavior analysis based on computational models. Programming exercises will be conducted on reinforcement learning and Bayesian estimation problems.
Schedule
15 hours between II-IV terms
Acceptable for student from October
Yes
Equipment or software to be used
Instructions will be given according to the theme
Text, reference
Materials will be distributed
Maximum number of participants
2
Selection criterion in case of overflow
Preference given to own lab.
Notes
Programming experience in Python, Matlab is desirable. It is desirable to have taken “Introduction to computational modeling of brain and behavior” offered by our lab.
自然言語処理学
(A14-1) 自然言語処理に関する基盤技術
Natural Language Processing
(A14-1) Fundamental Techniques in Natural Language Processing
Daniel Jurafsky and James H. Martin. Speech and Language Processing https://web.stanford.edu/~jurafsky/slp3/
受け入れ可能人数
4
希望者が受け入れ可能人数を越えた場合の選択基準
面談の上、希望テーマと希望の強さにより決定
特記事項
Project ID
A14-1
Instructor, laboratory, or group
Natural Language Processing
Project title
Fundamental Techniques in Natural Language Processing
Overview of the project
Participants learn basic techniques in natural language processing by running popular tasks such as syntactic parsing, document analysis, information extraction, summarization and machine translation.
Schedule
15 hours during Quarters II, III, and IV
Acceptable for student from October
Yes
Equipment or software to be used
It is task dependent. Instruction will be provided during the project work.
Text, reference
Daniel Jurafsky and James H. Martin. Speech and Language Processing https://web.stanford.edu/~jurafsky/slp3/
Maximum number of participants
4
Selection criterion in case of overflow
By interview. It is determined by your enthusiasm on the assigned topic.
Notes
自然言語処理学
(A14-2) 自然言語処理に関する応用技術
Natural Language Processing
(A14-2) Applications of Natural Language Processing
Daniel Jurafsky and James H. Martin. Speech and Language Processing https://web.stanford.edu/~jurafsky/slp3/
受け入れ可能人数
4
希望者が受け入れ可能人数を越えた場合の選択基準
面談の上、希望テーマと希望の強さにより決定
特記事項
Project ID
A14-2
Instructor, laboratory, or group
Natural Language Processing
Project title
Applications of Natural Language Processing
Overview of the project
Participants tackle various application tasks in natural language processing, including (but not limited to): document processing, knowledge extraction, and knowledge graph construction.
Schedule
15 hours during Quarters II, III, and IV
Acceptable for student from October
Yes
Equipment or software to be used
It is task dependent. Instruction will be provided during the project work.
Text, reference
Daniel Jurafsky and James H. Martin. Speech and Language Processing https://web.stanford.edu/~jurafsky/slp3/
Maximum number of participants
4
Selection criterion in case of overflow
By interview. It is determined by your enthusiasm on the assigned topic.
Notes
生体医用画像
(A18-1) 生体医用画像解析技術に関する研究開発
Imaging-based Computational Biomedicine
(A18-1) Development of tools for biomedical image processing
Development of tools for biomedical image processing
Overview of the project
This project develops tools for biomedical image processing that covers various topics including deep learning, time-series medical image processing, multi-scale image analysis, large-scale medical image database, musculoskeletal anatomical, and functional analysis
Schedule
2nd to 4th terms
Acceptable for student from October
Yes
Equipment or software to be used
PC, software libraries for computer graphics and medical images
Text, reference
Handouts are provided
Maximum number of participants
2
Selection criterion in case of overflow
Interview
Notes
C/C++, Python, Matlab programming skill is preferable
生体医用画像
(A18-2) 深層学習を用いた生体医用画像解析に関する研究開発
Imaging-based Computational Biomedicine
(A18-2) Deep-learning based biomedical image analysis
The participants learn deep learning and develop basic tools in biomedical image analysis such as image segmentation, registration, and reconstruction. The project uses annotated image database provided by the lab and deep learning as a core tool for understanding the data.
Schedule
2nd to 4th terms
Acceptable for student from October
Yes
Equipment or software to be used
PC, software libraries for computer graphics and medical images
Text, reference
Handouts are provided
Maximum number of participants
2
Selection criterion in case of overflow
Interview
Notes
C/C++, Python, Matlab programming skill is preferable