Title:

Advanced Database Systems

Code:PDB
Ac.Year:2012/2013
Term:Winter
Study plans:
ProgramBranchYearDuty
IT-MSC-2MBI1stCompulsory
IT-MSC-2MBS-Elective
IT-MSC-2MGM-Compulsory-Elective - group I
IT-MSC-2MGM1stCompulsory
IT-MSC-2MIN-Compulsory-Elective - group S
IT-MSC-2MIS1stCompulsory
IT-MSC-2MMI-Compulsory-Elective - group O
IT-MSC-2MMM-Elective
IT-MSC-2MPV-Elective
IT-MSC-2MSK1stCompulsory-Elective - group N
IT-MSC-2EITE1stCompulsory
Language:Czech
Public info:http://www.fit.vutbr.cz/study/courses/PDB/public/
Private info:http://www.fit.vutbr.cz/study/courses/PDB/private/
Credits:5
Completion:accreditation+exam (written)
Type of
instruction:
Hour/semLecturesSem. ExercisesLab. exercisesComp. exercisesOther
Hours:2660614
 ExaminationTestsExercisesLaboratoriesOther
Points:60200020
Guarantee:Kolář Dušan, doc. Dr. Ing., DIFS
Lecturer:Kolář Dušan, doc. Dr. Ing., DIFS
Zendulka Jaroslav, doc. Ing., CSc., DIFS
Instructor:Rychlý Marek, RNDr., Ph.D., DIFS
Faculty:Faculty of Information Technology BUT
Department:Department of Information Systems FIT BUT
Substitute for:
Post-Relational Databases (PRD), DIFS
 
Learning objectives:
The aim of course is to give a broader introduction into post-relational database systems (temporal, spatial, deductive, and multimediální). Various systems and their implementation techniques are discussed.
Description:
The course offers broader introduction into the following modern database systems: object-relational databases, deductive databases, spatial databases, temporal databases, multimedia databases, and advanced relational databases. There are also discussed priciples of the modern database systems, their scheme, and techniques for efficient usage of such systems. In the lectures, there are also introduced implementation principles of the modern database systems and data manipulation techniques.
Knowledge and skills required for the course:
Fundamentals of the relational model. Normalization-based design of a relational database. Organization of data at an internal level. Data security and integrity. Transactions. Relational database design from a conceptual model. SQL language.
Learning outcomes and competences:
Students will be able identify clearly post-relational DB systems and, for selected categories, they will also be able to discuss issues of implementation and usage of such systems.
Syllabus of lectures:
  1. Introduction, post-relational database definition, used terms
  2. Object-relational database systems, standard SQL/99
  3. Spatial database systems, introduction
  4. Modelling of spatial database systems
  5. Querying in spatial database systems
  6. Algorithms used in spatial database systems
  7. Image and multimedia database systems
  8. Temporal database systems, introduction
  9. Temporal data models
  10. Algorithms used in temporal database systems
  11. Deductive databases, introduction
  12. Models and implementation of deductive database systems
  13. Conclusion, comparison of various database systems, open items discussion
Syllabus of computer exercises:
  1. Introduction to used DB system (Oracle), simple post-relational database creation
  2. Manipulation techniques for post-relational data - simple queries
  3. More complicated queries
  4. Another kind of queries
  5. Connection to DB via JDBC
  6. Demonstration of Java client
  7. Project demonstration
Syllabus - others, projects and individual work of students:
  1. Creation and feature demonstration of database in a post-relational database system (used spatial, temporal, or deductive DBS)
Fundamental literature:
  1. Kim, W. (ed.): Modern Database Systems, ACM Press, 1995, ISBN 0-201-59098-0
  2. Melton, J.: Advanced SQL: 1999 - Understanding Object-Relational and Other Advanced. Morgan Kaufmann, 2002, p. 562, ISBN 1-558-60677-7
  3. Shekhar, S., Chawla, S.: Spatial Databases: A Tour, Prentice Hall, 2002/2003, p. 262, ISBN 0-13-017480-7
  4. Dunckley, L.: Multimedia Databases: An Object-Relational Approach. Pearson Education, 2003, p. 464, ISBN 0-201-78899-3
  5. Gaede, V., Günther, O.: Multidimensional Access Methods, ACM Computing Surveys, Vol. 30, No. 2, 1998, pp. 170-231.
Study literature:
  1. Kim, W. (ed.): Modern Database Systems, ACM Press, 1995, ISBN 0-201-59098-0
  2. Melton, J.: Advanced SQL: 1999 - Understanding Object-Relational and Other Advanced. Morgan Kaufmann, 2002, p. 562, ISBN 1-558-60677-7
  3. Shekhar, S., Chawla, S.: Spatial Databases: A Tour, Prentice Hall, 2002/2003, p. 262, ISBN 0-13-017480-7
  4. Dunckley, L.: Multimedia Databases: An Object-Relational Approach. Pearson Education, 2003, p. 464, ISBN 0-201-78899-3
Controlled instruction:
  • Mid-term exam - written form, a test, where answers are given in sentences, by selection of appropriate answer from offered ones, and by combination of both of these possibilities, no possibility to have a second/alternative trial. (20 points)
  • Projects realization - 1 project (program development according to a given specification) with appropriate documentation. (20 points)
  • Final exam - written form, a test, where answers are given in sentences, by selection of appropriate answer from offered ones, and by combination of both of these possibilities, 2 another corrections trials possible. (60 points - the minimal number of points which can be obtained from the final exam is 25, otherwise, no points will be assigned to a student.)
Progress assessment:
  • Mid-term exam, for which there is only one schedule and, thus, there is no possibility to have another trial.
  • One project should be solved and delivered in a given date during a term.
Exam prerequisites:
At the end of a term, a student should have at least 50% of points that he or she could obtain during the term; that means at least 20 points out of 40.
Plagiarism and not allowed cooperation will cause that involved students are not classified and disciplinary action can be initiated.