Course unit code:
Course unit title:
Spreadsheet and Database Systems for Data Processing
Mode of delivery, planned learning activities and teaching methods:
laboratory practice – 2 hours weekly (on-site method)
Credits allocated:
Recommended semester:
Biotechnológia – bachelor (full-time, attendance method), 2. semester
Chemical Engineering – bachelor (full-time, attendance method), 2. semester
Chemistry, Medical Chemistry and Chemical Materials – bachelor (full-time, attendance method), 2. semester
Level of study:
Prerequisites for registration:
Assesment methods:
Students will write 2 quizzes during the semester. The sum of points for the quizzes is 100. Students will successfully pass the quizzes if they earn at least 56 points. Students are graded as follows: A 92–100 points, B 83–91 points, C 74–82 points, D 65–73 points, E 56–64 points.
Learning outcomes of the course unit:
Students know fundamentals of creating and using of databases in Microsoft Access. They are able to design and create basic database objects (tables, forms, queries, and reports). Students have learned basic SQL statements for creating queries. They have knowledge of the principles of database normalization. Students have knowledge of treatment of numerical, text, and other data in tables of MS Excel. They are able to design and use Pivot Tables and Pivot Charts.
Course contents:
Introduction to relational databases
MS Access and MySQL
Database design
Database normalization (1NF, 2NF, 3NF, ...)
Table creation (fields, data types, indexes, field properties, update)
Forms and their elements
Basics of SQL
Simple practical application using database
Data processing in a spreadsheet editor (MS Excel)
Data processing function
Pivot tables and pivot charts
Recommended or required reading:
  • KOFLER, M. Mistrovství v MySQL 5. Brno : Computer Press, 2007. 805 p. ISBN 978-80-251-1502-2.
  • MASLAKOWSKI, M. Naučte se MySQL za 21 dní. Praha : Computer Press, 2001. 478 p. ISBN 80-7226-448-6.
  • LIENGME, B V. A guide to microsoft Excel for scientists and engineers. London : Arnold, 1997. 207 p. ISBN 0-340-69265-0.
  • LEVIE, R D. Advanced Excel for Scientific Data Analysis. Oxford : Oxford University Press, 2004. 615 p. ISBN 0-19-515275-1.
  • STINSON, C. – DODGE, M. Mistrovství v Microsoft Office Excel 2007. Brno : Computer Press, 2008. 936 p. ISBN 978-80-251-1980-8.
  • ŠEDOVÁ, H. Access 2007 nejen pro školy. ČR: Computer Media, 2010. 192 p. ISBN 978-80-7402-038-4.
  • CHURCHER, C. Beginning Database Design: From Novice to Professional. New York: Apress, 2012. 252 p. ISBN 978-1-4302-4209-3.
  • MACDONALD, M. Access 2007: The Missing Manual. 1005 Gravenstein Higway North, Sebastopol, CA 95472: O'Reilly Media, 2006. 752 p. ISBN 978-0-596-52760-0.
Language of instruction:
Slovak, English
Assessed students in total:

A 72.5 %

B 27.5 %

C 0 %

D 0 %

E 0 %

FX 0 %

Name of lecturer(s):
Ľ. Čirka (2017/2018 – Winter)
Ľ. Čirka (2016/2017 – Winter)
Ľ. Čirka (2015/2016 – Winter)
Course supervisor:
Ing. Ľuboš Čirka, PhD.
Last modification:
16. 1. 2018

LMS Moodle:
Laboratory practice
Department of Information Engineering and Process Control

AIS: 2017/2018  

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