Bachelor
2022/2023
Databases
Category 'Best Course for Career Development'
Type:
Compulsory course (Data Science and Business Analytics)
Area of studies:
Applied Mathematics and Information Science
Delivered by:
School of Software Engineering
Where:
Faculty of Computer Science
When:
3 year, 1, 2 module
Mode of studies:
distance learning
Online hours:
10
Open to:
students of one campus
Language:
English
ECTS credits:
5
Contact hours:
80
Course Syllabus
Abstract
The course attendants should develop skills and understanding in: the design methodology for databases and verifying their structural correctness; implementing databases and applications software in the relational model as well as in map/reduce paradigm; using querying languages, primarily SQL, and other database supporting software; applying the theory behind various database models and query languages; implementing security and integrity policies relating to databases; working in group settings to design and implement database projects.
Learning Objectives
- Can design conceptual, logical and physical relational data models.
- Can compose queries to relational databases using relational algebra, tuple relational calculus and SQL.
- Apply methods of database design, including entity-relationship approach and normalization-based approach.
- Knows and is able to apply database application design and development methods usable for object-oriented program systems, including object-relational mappers, its advantages and disadvantages.
- May reason on database systems performance based on knowledge models and methods of internal organization of relational databases including file storage, indexing, query processing and transaction management issues.
Expected Learning Outcomes
- Able to build conceptual data models
- Able to compose SQL queries using set (and bag) operators
Course Contents
- Introduction into data management
- Data Modeling
- Database Design: E/R and UML Approaches
- Relational Model
- Relational Database Design
- Relational Query Languages
- SQL: Structured Query Language
- Application Design and Development
- Storage and File Structure
- Indexing and Hashing
- Query processing
- Transaction management
- Distributed and parallel databases
Interim Assessment
- 2022/2023 2nd module0.28 * group project + 0.14 * work on seminars + 0.07 * quiz + 0.07 * midterm test + 0.3 * written exam + 0.14 * essay
Bibliography
Recommended Core Bibliography
- Foster, E. C., & Godbole, S. (2016). Database Systems : A Pragmatic Approach (Vol. Second edition). [United States]: Apress. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1174505
- Petrov, A., & O’Reilly for Higher Education (Firm). (2019). Database Internals : A Deep Dive Into How Distributed Data Systems Work (Vol. First edition). Sebastopol, CA: O’Reilly Media. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=2250514
Recommended Additional Bibliography
- Celko, J. (2014). Joe Celko’s SQL for Smarties : Advanced SQL Programming (Vol. Fifth edition). Amsterdam: Morgan Kaufmann. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=924899
- Connolly, T. M., & Begg, C. (2015). Database Systems: A Practical Approach to Design, Implementation, and Management, Global Edition (Vol. Sixth edition, Global edition). Harlow: Pearson. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1419568
- Databases reference sheets: Date with Java, SQL, XML, JAXB, JDBC, JPA, JPA Inheritance / Rodrigo García Carmona. (2016). Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.991AD36F
- Date, C. J. (2015). SQL and Relational Theory : How to Write Accurate SQL Code (Vol. Third edition). Sebastopol, CA: O’Reilly Media. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1099367
- Date, C. J. (2016). The New Relational Database Dictionary : Terms, Concepts, and Examples (Vol. New and expanded edition). Sebastopol, CA: O’Reilly Media. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1136522
- Haq, Q. M. R. U. (2016). Data Mapping for Data Warehouse Design. Amsterdam: Morgan Kaufmann. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1115852
- Jukic, N., Vrbsky, S., & Nestorov, S. (2017). Database Systems : Introduction to Databases and Data Warehouses. Burlington, Virginia: Prospect Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1562389
- Mohanty, H., Bhuyan, P., & Chenthati, D. (2015). Big Data : A Primer. New Delhi: Springer. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1020194
- Ottinger, J. B., Linwood, J., & Minter, D. (2016). Beginning Hibernate : For Hibernate 5 (Vol. Fourth edition). [United States]: Apress. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1360349
- Rad, R. (2016). Mastering Hibernate. Birmingham, UK: Packt Publishing. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1239416