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2024 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
2024
Offered quarter
1Q
Syllabus updated
Mar 14, 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-orientation and databases

Understand object-orientation 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 T2SCHOLA

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_c.titech.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.