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Databases

General data

Course ID: 2600-DSMz3zegBD
Erasmus code / ISCED: (unknown) / (unknown)
Course title: Databases
Name in Polish: Bazy danych
Organizational unit: Faculty of Management
Course groups: (in Polish) Przedmioty specjalizacyjne dla 3 roku, DSM zaoczne, sem. letni
ECTS credit allocation (and other scores): 2.00 Basic information on ECTS credits allocation principles:
  • the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS;
  • the student’s weekly hourly workload is 45 h;
  • 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes;
  • weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS;
  • work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load.
Language: Polish
Type of course:

obligatory courses

Mode:

Classroom

Short description:

During the course, students will be introduced to the construction, functioning and range of applications of databases. The issues of designing, building and using a database will be introduced. Students will also be introduced to the SQL database programming language and the XML structure description language. As a enchancement, issues related to data warehousing and the tools available for their use in management will be discussed.

Full description:

1. Introduction to databases - scope and specificity of database applications

2. Types of databases and database models

3. Creating tables and defining relationships,

4. Data modeling - entity relationship model.

̶ Transformation from conceptual model to relational model.

̶ Normalization of the relational database schema

5. Basics of SQL language

̶ Introduction and syntax of the language - range of applications

̶ Selected SQL language functions (e.g. numeric, character, conditional)

̶ Queries directed to the database - SELECT statement

6. Relational database management systems on the example of MySQL

7. The use of XML as a tool for describing data structure

8. Selected aspects of database security

9. Data warehouse - definitions range of applications

̶ Basics of data warehouse design - conceptual, logical and physical model

̶ Data warehouse as an element of Business Intelligence Systems

̶ Basic OLAP analytical tools

̶ Multidimensional data model and data mining mechanisms (data minning)

10. Database systems as an element of Management Information Systems

11. Construction and use of a simple database on the example of the presentation of the capabilities of MS Acceess 2019 software

Bibliography:

Basic literature :

1. Chodkowska-Gyurics A., Hurtownie danych. Teoria i praktyka, Helion 2022

2. Hernandez J., Projektowanie baz danych dla każdego. Przewodnik krok po kroku, Helion 2022

3. Elmasri R., Navathe S., Wprowadzenie do systemów baz danych, Helion, 2019

4. Rockoff L., Język SQL. Przyjazny podręcznik. Wydanie III (ebook), Helion, 2022

5. Ullman J.D., Windom J., Podstawowy kurs systemów baz danych, Helion, Warszawa wa, 2011

Additional literature :

6. Alexander M., Kusleika R., Access 2019 PL. Biblia. Helion, 2023

7. Banaszak Z., Kłos S., Mleczko J., Zintegrowane systemy zarządzania, PWE, 2016

8. Kisielnicki J., MIS systemy informatyczne zarządzania, Placet, Warszawa 2008

9. Surma J., Business Inteligence, PWN, 2021

Learning outcomes:

Student/Student upon completion of the course:

In terms of knowledge:

• Knows and understands the specifics, principles, procedures and practices of e-business, its key functions (operational, marketing, financial, personnel management) and its relations with the environment (S3 _W02),

• Knows and understands technological, social, political, legal, economic and ecological processes and phenomena and their impact on the operation in e-business and digital economy (S3_W05).

In terms of skills :

• Is able to use the theory of the discipline of management and quality sciences and complementary sciences (economics and finance, legal sciences) to identify, diagnose and solve problems related to key functions in e-business and integrate them into a strategy, using an appropriate selection of sources and adapting existing methods (S3_U01)

• Is able to independently and collaboratively prepare analyses, diagnoses and reports on the functioning of e-business and the digital economy and present them communicatively, including in English-using information and communication tools (S3_U03)

• Has the ability to self-educate and improve acquired skills. (S3-U06)

In terms of social competence :

• He is ready to evaluate and critically approach situations and phenomena related to the functioning of e-business and digital economy (S3_K01).

Assessment methods and assessment criteria:

Learning outcomes will be verified in the form of a test conducted during the last class in the lecture hall.

The test will be conducted stationary using the e-learning platform. In justified cases, a traditional paper version of the test will also be possible.

A total of 20 points will be available during the test, the number of which will determine the final grade:

0-10 points - grade 2

11-12 points - grade 3

13-14 points - grade 3.5

15-16 points - grade 4

17-18 points - grade 4.5

19-20 points - grade 5

Classes in period "Summer semester 2023/24" (in progress)

Time span: 2024-02-19 - 2024-06-16
Selected timetable range:
Navigate to timetable
Type of class:
Seminar, 9 hours more information
Coordinators: (unknown)
Group instructors: Tomasz Parys
Students list: (inaccessible to you)
Examination: Course - Grading
Seminar - Grading
Course descriptions are protected by copyright.
Copyright by University of Warsaw.
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00-927 Warszawa
tel: +48 22 55 20 000 https://uw.edu.pl/
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