PB168 Introduction to DB and IS

Faculty of Informatics
Autumn 2023
Extent and Intensity
2/2/0. 3 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
Teacher(s)
doc. RNDr. Vlastislav Dohnal, Ph.D. (lecturer), prof. Ing. Pavel Zezula, CSc. (deputy)
RNDr. Jaroslav Ráček, Ph.D. (lecturer)
Guaranteed by
doc. RNDr. Vlastislav Dohnal, Ph.D.
Department of Machine Learning and Data Processing – Faculty of Informatics
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics
Timetable
Tue 19. 9. 10:00–13:50 D2, Tue 26. 9. 10:00–13:50 D2, Tue 3. 10. 10:00–13:50 D2, Tue 10. 10. 10:00–13:50 D2, Tue 17. 10. 10:00–13:50 D2, Tue 14. 11. 10:00–13:50 D2, Tue 21. 11. 10:00–13:50 D2, Tue 28. 11. 10:00–13:50 D2, Tue 5. 12. 10:00–13:50 D2, Tue 12. 12. 10:00–13:50 D2
  • Timetable of Seminar Groups:
PB168/01: Tue 7. 11. 10:00–13:50 D2, V. Dohnal
PB168/02: Tue 24. 10. 10:00–13:50 D2, V. Dohnal
PB168/03: Tue 31. 10. 10:00–13:50 D2, V. Dohnal
Prerequisites
! PB154 Database Systems && !NOW( PB154 Database Systems )
Basic knowledge of technical English
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The aim of the course is to introduce principles of information and database systems to the students. In detail, issues of creating information systems that use database systems will be tackled. Especially, we focus on the topics of software engineering, database design and data modeling, querying and other functionality including analytical tools. The aim of one-hour seminars is to exercise selected phenomena in practice. The students will get an idea about the overall problem of design and development of information systems and its individual stages. The students will learn principles of database systems from the theoretical and practical points of view. The students will be able to use a relational database system, store and query its data.
Learning outcomes
Student will be able to:
- Explain basic principles and procedures in designing software;
- Apply these procedures to create a model of smaller information system;
- Explain the principles of relational database management systems;
- Design and implement relational model for data storage in the information system;
- Formulate basic SQL statements (data updates and querying in particular);
- Be familiar with the issues of analysis and design of data-oriented information systems.
Syllabus
  • Introduction to information systems. What is an information system, what is its purpose, what is its task and how it is useful. The common structure and components of an information systems, examples. Modern information systems.
  • Introduction to database systems. What is a database management system, what is its task and use, examples. Data abstraction, models, examples.
  • Architecture of database systems. Design of database, querying. Query languages. Architecture of database. Users of database.
  • Entity-relationship model. Attributes, entity sets. Relationships, cardinality. Definition of key, primary key.
  • Relational model. Relation, attributes, relationships. Transition to/from entity-relationship model. Referential integrity.
  • Database design. Functional dependencies. Normal forms. Decomposition.
  • SQL query language. Introduction, basic statements. Select, joins, aggregation functions. Database updates and deletions. Data definition, views.
  • Query processing. Basic principles, examples. Indexing. Introduction to query optimization. Transactions. Properties of transaction processing.
  • Analytical tools. OLAP – Online Analytical Processing. Data mining. Applications of databases.
  • Specifics of database systems. Technology of accessing databases. Geographical information systems. Multidimensional databases. Temporal databases.
  • Design and development of information systems. Life-cycle of information system. Analysis, design of systems. Structured analysis. Data Flow Diagram, mini-specification.
  • Use case diagram. Sequence diagram. Class diagram.
  • Principles of structured analysis based on YMSA and SSADM. Functional decomposition. Balancing functional and data models.
Literature
    recommended literature
  • SILBERSCHATZ, Abraham, Henry F. KORTH and S. SUDARSHAN. Database system concepts. 5th ed. Boston: McGraw-Hill, 2006, xxvi, 1142. ISBN 0072958863. info
  • RÁČEK, Jaroslav. Strukturovaná analýza systémů (Structured system analysis). Brno: Masarykova univerzita, 2006, 104 pp. FI. ISBN 80-210-4190-0. info
  • KRÁL, Jaroslav. Informační systémy :specifikace, realizace, provoz. 1. vyd. Veletiny: Science, 1998, 358 s. ISBN 80-86083-00-4. info
Teaching methods
Two-hour lectures and two-hour seminars.
Assessment methods
Written exam, developing individual project (data and process models, SQL).
Language of instruction
Czech
Follow-Up Courses
Further comments (probably available only in Czech)
Study Materials
Listed among pre-requisites of other courses
The course is also listed under the following terms Autumn 2010, Autumn 2011, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, Autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, Autumn 2021, Autumn 2022, Autumn 2024.
  • Enrolment Statistics (Autumn 2023, recent)
  • Permalink: https://is.muni.cz/course/fi/autumn2023/PB168