Navigation

IR4BP2 - Databases 2

Course specification
Course title Databases 2
Acronym IR4BP2
Study programme Electrical Engineering and Computing
Module Computer Engineering and Informatics
Type of study bachelor academic studies
Lecturer (for classes)
    Lecturer/Associate (for practice)
    Lecturer/Associate (for OTC)
    ESPB 6.0 Status elective
    Condition Databases 1
    The goal Extensible Markup Language (XML). Physical Database Design. DB integration.
    The outcome Students will be able to use XML, to exploit indexes, views, storage, and other aspects of physical design, and appreciate the need and different possibilities for DB integration.
    Contents
    Contents of lectures Extensible Markup Language (XML). DTD and XML Schemas. XPath. XQuery. Physical Database Design. Indexes. Materialized Views. Partitioning. Multidimensional Clustering. Other methods. DB integration. language-oriented (embedded SQL). driver-oriented (ODBC, JDBC). component-based. SOA integration. Web Services. SOAP. WSDL. UDDI. agent-based
    Contents of exercises Conduct and evaluate object relational DB system, discuss the properties of good DB systems, implement XML queries and select and apply appropriate integration mechanisms.
    Literature
    1. Database Systems:The Complete Book, H. Garcia-Molina, J.D.Ulman, J. Widom, Prentice Hall, 2002. (Original title)
    2. Bill Evjen, at all, Professional XML (Programer to Programmer) ISBN-13: 978-0471777779, 2007 (Original title)
    3. Physical Database Design: the database professional's guide to exploiting indexes, views, storage, and more (The Morgan Kaufmann Series in Data Management Systems) by Sam Lightstone, Toby J. Teorey, and Tom Nadeau (Paperback - Apr 4, 2007) (Original title)
    4. Bancilhorn, F., et al., Building An Object Oriented Database System, Morgan Kaufmann, 1992. (Original title)
    Number of hours per week during the semester/trimester/year
    Lectures Exercises OTC Study and Research Other classes
    2 2 1
    Methods of teaching 30 hours of lectures + 30 hours of supervised problem classes + 15 hours of supervised laboratory classes, midterm tests and project. Approximately 75 hours of personal study and exercise (3 hours per week during semester, and approximately 30 hours of preparation during exam term).
    Knowledge score (maximum points 100)
    Pre obligations Points Final exam Points
    Activites during lectures 0 Test paper 60
    Practical lessons 10 Oral examination 0
    Projects 10
    Colloquia 20
    Seminars 0