Content (Syllabus outline)
• Observing and measuring the world
• Variables and constants
• Types of Data
• Missing Data
• Operations with dara
• Measures of central tendencies
• Measures of Variability
• Descriptive Statistics
• Visualisation of Data
Learning and teaching methods
• Traditional lectures
• Case studies
• Problem based learning
• Group work
Intended learning outcomes - knowledge and understanding
Knowledge and understanding:
Students:
• know the importance of data in decision making process, basic data types, methods of data collection
• know and understand basic analytical operations and visualization
• use EXCEL functions for analytical operations and visualizations
• calculate descriptive statistics
• interpret the results
• analyze the data
• create reports
Readings
Mladen Knežević. Osnove metodologije in statistike. Grafis Trade. ISBN 9789616401616.
George Argyrous. Statistics for Research: With a Guide to SPSS. SAGE Publications. 3rd Ed. ISBN 9781849205955
Tiffany Bergin. An Introduction to Data Analysis. Quantitative, Qualitative and Mixed Methods. Sage Publications. ISBN 9781446295151 / 9781446295144
»Seznam dodatnih študijskih materialov bo razdeljen študentom ob začetku predavanj. A list of additional study materials will be distributed when the module begins.«
Prerequisits
There are no prerequisites for this course.
Additional information on implementation and assessment Written exam * 50%
Exercises 50%
* written exam can be substituted by two written colloquia; students with positive grade from exercises may write the exam; subject is passed with positive grade from written exam
A student passes the course when each segment of the course is graded with a positive grade.
