▶Japanese
Post to SNS
- Home
- > School of Computing
- > Graduate major in Artificial Intelligence
- > Advanced Topics in Artificial Intelligence S
- School of Science
-
School of Engineering
- Undergraduate major in Mechanical Engineering
- Undergraduate major in Systems and Control Engineering
- Undergraduate major in Electrical and Electronic Engineering
- Undergraduate major in Information and Communications Engineering
- Undergraduate major in Industrial Engineering and Economics
- Common courses
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
- School of Environment and Society
- 工学院，物質理工学院，環境・社会理工学院共通科目
- Liberal arts and basic science courses
- First-Year Courses
- School of Science
- School of Engineering
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
-
School of Environment and Society
- Department of Architecture and Building Engineering
- Department of Civil and Environmental Engineering
- Department of Transdisciplinary Science and Engineering
- Department of Social and Human Sciences
- Department of Innovation Science
- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- Graduate major in Artificial Intelligence
- Instructor(s)
- Suzumura Toyotaro
- Class Format
- Lecture (ZOOM)
- Media-enhanced courses
- Day/Period(Room No.)
- Intensive ()
- Group
- -
- Course number
- ART.T454
- Credits
- 2
- Academic year
- 2020
- Offered quarter
- 1-2Q
- Syllabus updated
- 2020/9/18
- Lecture notes updated
- 2020/5/14
- Language used
- English
- Access Index
-
Lecture
Lecture 1 Advanced topics on graph algorithms
2020.6.24(Wed.) 1-2Session
Exercise
Lecture 2 Coding exercise
2020.6.24(Wed.) 3-4Session
Lecture
Lecture 3 Advanced topics on graph database
2020.7.1(Wed.) 1-2Session
Exercise
Lecture 4 Coding exercise
2020.7.1(Wed.) 3-4Session
Lecture
Lecture 5 Advanced topics on graph learning
2020.7.8(Wed.) 1-2Session
Exercise
Lecture 6 Coding exercise
2020.7.8(Wed.) 3-4Session
Lecture
Lecture 7 Advanced topics on graph neural network (I)
2020.7.15(Wed.) 1-2Session
Exercise
Lecture 8 Coding exercise
2020.7.15(Wed.) 3-4Session
Lecture
Lecture 9 Advanced topics on graph neural network (II)
2020.7.22(Wed.) 1-2Session
Exercise
Lecture 10 Coding exercise
2020.7.22(Wed.) 3-4Session
Lecture
Lecture 11 Advanced topics on high performance computing and graph learning for massive graphs
2020.7.29(Wed.) 1-2Session
Exercise
Lecture 12 Coding exercise
2020.7.29(Wed.) 3-4Session
Lecture
Lecture 13 Advanced topics on graph learning and use cases
2020.8.5(Wed.) 1-2Session
Exercise
Lecture 14 Coding exercise
2020.8.5(Wed.) 3-4Session
It is necessary for those who refer to the PDF file to use "Adobe Reader" as the plug-in software of Adobe System Company.
If you don't have the software, please download from this item (free).
