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Learn how to design, implement, and utilize databases effectively. Gain knowledge in database modeling, relational databases, and SQL basics.

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  1. Course presentation Databases EvgenyKhaymin Institute of Mathematics, Information and Space Technologies

  2. 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

  3. 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. Course overview

  4. 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

  5. Learning skills

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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/

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