Elements of statistics Field of study: Information Architecture
Programme code: W1-S1AI19.2023

Module name: Elements of statistics
Module code: W1-AI-S1-ES01
Programme code: W1-S1AI19.2023
Semester:
  • winter semester 2024/2025
  • winter semester 2023/2024
Language of instruction: Polish
Form of verification: course work
ECTS credits: 3
Purpose and description of the content of education:
The aim is to acquire the terms and concepts used in statistics: mass phenomenon, statistical unit, population, population size, statistical characteristics, statistical series, which will allow students to understand the principles of analysis and interpretation of statistical data and ways of their presentation, make descriptive characteristics of a one-dimensional community, analyze the interdependence of two characteristics and dynamics of phenomena. During the classes, students learn the basic functions of the Statistica program, including the calculation of basic location measures: arithmetic mean, median and mode. This knowledge will give the ability to independently use the foundations of statistics in conducting research on statistical populations and calculating structure measures collectivity.
List of modules that must be completed before starting this module (if necessary): not applicable
Learning outcome of the module Codes of the learning outcomes of the programme to which the learning outcome of the module is related [level of competence: scale 1-5]
The student uses knowledge to conduct research on a statistical community using community structure measures, demonstrates precision by presenting the results of statistical research in speech and writing. [ES01_1]
 K_K02 [5/5]
The student effectively organizes his own work, knows the rules of ethics and observes them in scientific research. [ES01_2]
 K_K04 [4/5]
The student is able to formulate and analyze research problems and apply statistical methods to analyze and present data on organizations as statistical communities. He has the ability to design work on an individual position in the team collection and development of statistical data. [ES01_3]
 K_U02 [5/5]
The student has knowledge of the scientific relationship between information science and statistics. [ES01_4]
 K_W01 [4/5]
Form of teaching Number of hours Methods of conducting classes Assessment of the learning outcomes Learning outcomes
laboratory classes [ES01_fs_1] 30 Description [a03] 
Explanation/clarification [a05] 
Demonstration-imitation [c06] 
Screen presentation [c07] 
Working with a computer [d01]  		course work ES01_1 ES01_2 ES01_3 ES01_4
The student's work, apart from participation in classes, includes in particular:
Name Category Description
Search for materials and review activities necessary for class participation [a01] Preparation for classes
reviewing literature, documentation, tools and materials as well as the specifics of the syllabus and the range of activities indicated in it as required for full participation in classes
Developing practical skills [a03] Preparation for classes
activities involving the repetition, refinement and consolidation of practical skills, including those developed during previous classes or new skills necessary for the implementation of subsequent elements of the curriculum (as preparation for class participation)
Getting acquainted with the syllabus content [b01] Consulting the curriculum and the organization of classes
reading through the syllabus and getting acquainted with its content
Attachments
Module description (PDF)
Information concerning module syllabuses might be changed during studies.
Syllabuses (USOSweb)
Semester Module Language of instruction
(no information given)