2018_19
Educational guide 
Faculty of Chemistry
A A 
english 
Nutrition and Metabolism (2012)
 Subjects
  COMPUTER PROCESSING OF DATA IN NUTRITIONAL STUDIES
   Learning aims
Objectives Competences
To import data to statistical treatment programs from spreadsheet programs and common databases. AR2
AR3
To define and complete data form and save them for later use. AR2
AR3
To use a systematic approach with statistical package that allows the register and control of taken actions and their repetition. AR2
AR3
To know what bivariate statistical tests are applicable to the resolution of simple hypothesis. AR2
AR3
To understand the need to generate variable from original observations to test the hypothesis of interest and identify the available tools for the task. AR2
AR3
To understand the concept of matrix data. AR2
AR3
To know the principles of data cleaning. AR2
AR3
To schedule proper hypothesis tests to data and interpret correctly the results. AR2
AR3
To describe data using the available graphical techniques and appropriate statistical programmes. AR2
AR3
To sort and select cases based on multiple criteria. AR2
AR3
To use tools for creating new variables efficiently. AR2
AR3
To acquire the ability of organize data of empirical studies, evaluate their quality, describe the information and answer the hypotheses with statistical software SPSS for Windows. AR2
AR3