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SEMINAR B(2)
| Lecturer(s) | KAWASHIMA, HIDEYUKI |
|---|---|
| Credit(s) | 2 |
| Academic Year/Semester | 2025 Spring |
| Day/Period | Tue.2 |
| Campus | SFC |
| Class Format | Face-to-face classes (conducted mainly in-person) |
| Registration Number | 20744 |
| Faculty/Graduate School | POLICY MANAGEMENT / ENVIRONMENT AND INFORMATION STUDIES |
| Year Level | 1, 2, 3, 4 |
| Field | RESEARCH SEMINARS SEMINARS |
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| Location | SFC |
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Student Screening Courses requiring entry to selection should be registered via SOL-A. *Only students who have a CNS account and who are not students of the Faculty of Policy Studies, Faculty of Environment and Information Studies, Graduate School of Media and Governance, Faculty of Nursing and Medical Care, and Graduate School of Health Management can enter via the system. Please check K-Support News for the details. | This item will appear when you log in (Keio ID required). |
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| K-Number | FPE-CO-05003-212-60 |
| Course Administrator | Faculty/Graduate School | FPE | POLICY MANAGEMENT / ENVIRONMENT AND INFORMATION STUDIES |
|---|---|---|---|
| Department/Major | CO | ||
| Main Course Number | Level | 0 | Faculty-wide |
| Major Classification | 5 | Research Seminars | |
| Minor Classification | 00 | Seminar | |
| Subject Type | 3 | Elective subject | |
| Supplemental Course Information | Class Classification | 2 | Lecture |
| Class Format | 1 | Face-to-face classes (conducted mainly in-person) | |
| Language of Instruction | 2 | English | |
| Academic Discipline | 60 | Information science, computer engineering, and related fields | |
Course Summary
The goal of this study group is to produce top-level research results based on Informatics.
To produce research results, research must be carried out. To carry out research, basic abilities are required. Therefore, during the study group, students will read textbooks together and strive to acquire basic abilities. Students who have acquired basic abilities will receive individual research guidance.
To produce research results, research must be carried out. To carry out research, basic abilities are required. Therefore, during the study group, students will read textbooks together and strive to acquire basic abilities. Students who have acquired basic abilities will receive individual research guidance.
Course Description/Objectives/Teaching Method/Intended Learning Outcome
In these days, we see data intensive science and applications are emerging. Such examples are big science such as astronomy and meteorology, AI technology including deep learning, and block chain technology forming the basis of virtual currency.
Since these technologies are based on large scale data, basic technology for managing them is necessary. This basic technology is referred to as data system. There are a variety of data systems such as traditional relational databases and file systems, special purpose databases tailored to specific uses such as time series databases and graph databases. We see many products in the wild.
Although data systems seem complicated, in reality the element technologies are only query processing and transaction processing. Query processing is a process of interpreting contents that the user has asked “Please give this data” to the system and returns the processing result. An example of a query language is SQL. Transaction processing is a process performed when transferring money to a bank or saving data into a computer. It has the property of ACID.
If you learn these two technologies from the foundation, you will be able to understand any data system related to any information infrastructure.
The first objective in this laboratory is to provide beautiful design principles that adhere to these technologies and sophisticated techniques for students. This will give students a weapon that confronts the immediate social problems. The second objective of this laboratory is to lead the new era by emerging data systems. We imagine daily lives enriched by data systems and aim to realize it with new technology.
Since these technologies are based on large scale data, basic technology for managing them is necessary. This basic technology is referred to as data system. There are a variety of data systems such as traditional relational databases and file systems, special purpose databases tailored to specific uses such as time series databases and graph databases. We see many products in the wild.
Although data systems seem complicated, in reality the element technologies are only query processing and transaction processing. Query processing is a process of interpreting contents that the user has asked “Please give this data” to the system and returns the processing result. An example of a query language is SQL. Transaction processing is a process performed when transferring money to a bank or saving data into a computer. It has the property of ACID.
If you learn these two technologies from the foundation, you will be able to understand any data system related to any information infrastructure.
The first objective in this laboratory is to provide beautiful design principles that adhere to these technologies and sophisticated techniques for students. This will give students a weapon that confronts the immediate social problems. The second objective of this laboratory is to lead the new era by emerging data systems. We imagine daily lives enriched by data systems and aim to realize it with new technology.
Research Seminar Theme
Data Platform Laboratory
Project Theme (next semester)
1. Transaction processing and query processing
2. Infrastructure for AI
3. Infrastructure for science
4. Distributed database system
2. Infrastructure for AI
3. Infrastructure for science
4. Distributed database system
Active Learning MethodsDescription
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Preparatory Study
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Course Plan
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Method of Evaluation
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Textbooks
1. Computer Systems: A Programmer's Perspective, 3/E (CS:APP3e)
2. Transactional Information Systems, Theory, Algorithms, and the Practice of Concurrency Control and Recovery
3. Computer Organization and Design
4. Operating Systems: Three Easy Pieces
5. Database System Concepts
2. Transactional Information Systems, Theory, Algorithms, and the Practice of Concurrency Control and Recovery
3. Computer Organization and Design
4. Operating Systems: Three Easy Pieces
5. Database System Concepts
Lecturer's Comments to Students
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