Course presentation

Databases

Evgeny KhayminInstitute of Mathematics,

Information and Space Technologies

Teachers

Institute of Mathematics,Information and Space Technologies

Evgeny Khaymin, Senior Lecturer of the Applied informatics and Informatization of Education

Department

Contacts:e.khaymin@narfu.ru

Course overview

Module "Database" is dedicated to

the study how to design, implement

and use databases to maintain and

manipulate data. Student will receive

knowledge in areas such as Database

model, Entire Relationship Databases

and the basis of SQL.

Education and working methods

The educational workload: • Lectures – 42 h., • workshop – 64 h., • independent work – 83 h.The work load of the course – 7 ECTS Forms and methods of monitoring and evaluation of learning outcomes:

• 1. tests;• 2. checking homework;• 3. defense labs.Final examination – Exam

Learning skills

The knowledge:

1.The fundamental database concepts ;

2.The basis of Standard Query Language.

The skills: 1.Developing and creating an entity relationship diagram for modeling a database;

2.Writing and implementing basic queries formatted for specific output.

The competence:

1.The ability to optimize information ;

2.To demonstrate conceptual design principles;

3.To describe Business Intelligence/Decision Support Systems.

Evaluation with different parts to be considered

1. Fundamental Database concepts:1.1. Data vs Information. Advantages and disadvantages of using Databases. 1.2. Different database engines, models and providers.1.3. Analyzing data, entities, attributes and relationships in databases.

Evaluation with different parts to be

considered 2. Database design:2.1. Proper database design. Data types; entire relationship diagram for modeling database.2.2. The general methods of design using 3NF. The main principles of E-R diagram.

Evaluation with different parts to be

considered

3. The basis of Standard Query Language (SQL):3.1. The basic characteristics of SQL. Changing and updating the tables using the SQL.3.2. Writing and implementing single table queries and queries for specific output.

Evaluation with different parts to be

considered

4. Optimization of information and parts of Business Intelligence:4.1. Relating tables in database. Using indexes and foreign keys.4.2. Online Analitical Processing (OLAP) and data mining. Constructing data warehouse. The reqiurements for a data mart.

References

• 1. Foster Provost, Tom Fawcett // Data Science for Business: What you need to know about data mining and data-analytic thinking, O'Reilly Media, 2013.

• 2. Carlos Coronel, Steven Morris, Peter Rob // Database Systems: Design, Implementation, and Management, Cengage Learning; 10 edition, 2012.

• 3. Jeffrey A. Hoffer, V.Ramesh, Heikki Topi // Modern Database Management, Prentice Hall; 11 edition, 2012.

• 4. Ben Forta // Sams Teach Yourself SQL in 10 Minutes, Sams Publishing; 4 edition, 2012.

• 5. Steven Feuerstein, Bill Pribyl. Oracle PL/SQL Programming: Covers Versions Through Oracle Database 11g Release 2 (Animal Guide). O'Reilly Media; Fifth Edition, 2009.

• 6. SQL in DB. http://www.sql.ru• 7. Oracle Academy. https://academy.oracle.com/oa-web-

overview.html• 8. Microsoft SQL Server.

http://www.microsoft.com/sqlserver/ru/ru/