2025 (Current Year) Faculty Courses School of Computing Undergraduate major in Computer Science
Databases
- Academic unit or major
- Undergraduate major in Computer Science
- Instructor(s)
- Jun Miyazaki
- Class Format
- Lecture (Face-to-face)
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - 5-6 Mon / 5-6 Thu
- Class
- -
- Course Code
- CSC.T343
- Number of credits
- 200
- Course offered
- 2025
- Offered quarter
- 1Q
- Syllabus updated
- Mar 31, 2025
- Language
- Japanese
Syllabus
Course overview and goals
This course is a comprehensive introduction to concept, models and technologies of database systems that are now regarded as the most important infrastructure of information systems.
At first, it gives the relational database models with the relational algebra, relational calculus, and normal forms. It then explains the conceptual modeling, query languages including SQL, and the important concept of transactions including the concurrency control and recovery. Technologies for storing data, indexing, and processing queries are also treated. It introduces recent trends of databases.
Course description and aims
By the end of this course, students will be able to
1) Understand the basic concept and models of databases
2) Design databases in normal form satisfying requirements
3) Write appropriate queries for databases
4) Handle concurrency control and recovery of transactions
5) Use techniques for storing data, indexing, and processing queirs
6) Have knowledge about recent trends of databases
Keywords
Relational Model, Relational Algebra, Relational Calculus, Normal Forms, Conceptual Modeling, Query Language, SQL, Transaction, Concurrency Control, Recovery, Data Storage, Indexing, Query Processing
Competencies
- Specialist skills
- Intercultural skills
- Communication skills
- Critical thinking skills
- Practical and/or problem-solving skills
Class flow
Standard lectures with short exercise in each class, and practices with relational databases
Course schedule/Objectives
| Course schedule | Objectives | |
|---|---|---|
| Class 1 | Introduction: Basic Concept of Database, Data Model, Relational Model | Understand concepts of databases |
| Class 2 | Relational Model: Relational Algebra | Understand Relational Algebra |
| Class 3 | Relational Model: Relational Calculus, Relational Completeness, Normal Form (1) | Understand Relational Calculus and Normal Form |
| Class 4 | Normal Form (2) | Understand Normal Form |
| Class 5 | ER Model, DDL, DML, Query Examples | Understand conceptual model, and database queries |
| Class 6 | Transaction 1: ACID Property, Two-Phase Lock, Hierarchical Lock | Understand the concept of transactions |
| Class 7 | Transaction 2: Time Stamp, Multiversioning, Recovery | Understand methods for recovery |
| Class 8 | Database language SQL | Understand SQL language |
| Class 9 | Advanced SQL | Understand advanced SQL |
| Class 10 | Method for storing Data: Non-volatile Storage, Page, Records, Indexing | Understand physical data store |
| Class 11 | Query Processing 1: Buffer Management, Projection, Selection, Sort | Understand query processing |
| Class 12 | Query Processing 2: Nested Loop Join, Sort Merge Join, Hash Join, Query Optimization | Understand query processing |
| Class 13 | Object-oriented / graph databases | Understand object-orientation and graph on databases |
| Class 14 | Practices on relational databases | Understand operations of relational databases |
Study advice (preparation and review)
To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.
Textbook(s)
Distribute manuscripts through Science Tokyo LMS
Reference books, course materials, etc.
Ullman et al., A First Course in Database Systems, 3rd Edition, Pearson Education, 2014
Evaluation methods and criteria
Grading is based on intermediate assignment (50%) and final exam (50%).
Related courses
- ZUS.S201 ： Programming Ⅰ
- ZUS.S202 ： Programming II
- MCS.T313 ： Mathematical Logic
- ZUS.P301 ： Operating Systems
Prerequisites
None
Contact information (e-mail and phone) Notice : Please replace from ”[at]” to ”@”(half-width character).
miyazaki_at_comp.isct.ac.jp
Other
Due to the limitation of the computer lab., if the number of students exceeds the limit, the students of computer science have a priority.