aFAMA1_13 Mathemathics and Basics of Data Analysis

Farmaceutická fakulta
podzim 2025

Předmět se v období podzim 2025 nevypisuje.

Rozsah
0/1/0. 14s. 2 kr. Ukončení: k.
Vyučující
Mgr. Sylvie Pavloková, Ph.D. (cvičící)
PharmDr. Jiří Zeman, Ph.D. (cvičící)
Garance
Mgr. Sylvie Pavloková, Ph.D.
Ústav farmaceutické technologie – Ústavy – Farmaceutická fakulta
Omezení zápisu do předmětu
Předmět je určen pouze studentům mateřských oborů.
Mateřské obory/plány
Anotace
The subject includes an introduction to basic math skills and to MS Excel.
The combination of these skills is one of the pillars of experimental activity in pharmaceutical practice (whether in the preparation of individually prepared medicinal products or in pharmaceutical research and industry).
Lessons include the basic prerequisites for correctly performed and effective experimental activity within the laboratory exercises of various subjects and diploma theses.
The course also aims to strengthen the competencies related to logical reasoning and the correct and attractive presentation of the acquired knowledge.
Výstupy z učení
After completing the course, the student will be able to:
Work with mathematical formulas, write quantities and units appropriately;
Orientate yourself in the basic menu of MS Excel functions;
Define and interpret basic metrics of descriptive statistics;
Visualize data and adjust graphical output according to specific requirements;
Process linear regression, interpret its outputs and use this method to determine the concentration of an unknown solution;
Orientate yourself in the basic requirements for a quality laboratory report and apply the acquired knowledge in the study of other subjects based on laboratory exercises or in the process of an experimental thesis.
Klíčová témata
  • Mathematical background of pharmaceutical experimental activity; calculation and recording of the result, rounding; notation of quantities, units and mathematical formulas; expression unknown from the formula; unit conversion;
  • Introduction to the MS Excel; basic functions; collecting, organizing, sorting and filtering of data, conditional formatting;
  • Basic descriptive statistics; estimates of mean and variance;
  • Basic types of data visualization; work with graphic output;
  • Linear regression and calibration;
  • Principles for developing a laboratory protocol.
Studijní zdroje a literatura
    doporučená literatura
  • EVANS, David; Paul GRUBA a Justin ZOBEL. How to write a better thesis. Third edition. Cham: Springer, 2014, xiv, 167. ISBN 9783319042855. info
Přístupy, postupy a metody používané ve výuce
Seminars. PC exercises.
Způsob ověření výstupů z učení a požadavky na ukončení
Colloquium with group discussion. Activity in individual lessons. The understanding of the topics discussed and the ability to create one's own solutions when processing data are evaluated. Attendance at seminars is mandatory, absence is permitted according to the rules of the MU Study and Examination Regulations.
Vyučovací jazyk
Angličtina
  • Permalink: https://is.muni.cz/predmet/pharm/podzim2025/aFAMA1_13