2023 Databases

Font size  SML

Register update notification mail Add to favorite lecture list
Academic unit or major
Undergraduate major in Computer Science
Instructor(s)
Miyazaki Jun 
Class Format
Lecture    (Face-to-face)
Media-enhanced courses
Day/Period(Room No.)
Mon5-6(W9-324(W933))  Thr5-6(W9-324(W933))  
Group
-
Course number
CSC.T343
Credits
2
Academic year
2023
Offered quarter
1Q
Syllabus updated
2023/4/6
Lecture notes updated
-
Language used
Japanese
Access Index

Course description and aims

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.

Student learning outcomes

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 that will be developed

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/Required learning

  Course schedule Required learning
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, Normal Form Understand Relational Calculus and Normal Form
Class 4 ER Model, DDL, DML, Relational Completeness Understand Conceptual Model, DDL, DML
Class 5 Query Examples, Aggregation Functions Write database queries
Class 6 Update, Data Definition, View Write update and database definition
Class 7 Transaction 1: ACID Property, Two-Phase Lock, Hierarchical Lock Understand the concept of transactions
Class 8 Transaction 2: Time Stamp, Multiversioning, Recovery Understand methods for recovery
Class 9 Method for storing Data: Non-volatile Storage, Page, Records, Indexing Understand physical data store
Class 10 Query Processing 1: Buffer Management, Projection, Selection, Sort, Understand query processing
Class 11 Query Processing 2: Nested Loop Join, Sort Merge Join, Hash Join, Query Optimization Understand query processing
Class 12 Advanced SQL Understand advanced SQL
Class 13 Object-orientation and databases Understand object-orientation on databases
Class 14 Practices on relational databases Understand operations of relational databases

Out-of-Class Study Time (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

Assessment criteria and methods

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 (i.e., required knowledge, skills, courses, etc.)

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.

Page Top