Applied Statistical Methods
The first purpose of the course is to provide students with a conceptual overview of the statistical and econometric methods of data processing and analysis with emphasis on the choice – depending on the available data – of the appropriate methods and the conditions and procedures for their application. The second purpose of the course is to contribute to the understanding of the processes allowing the investigation of the relationships between various variables (expressing temporal and / or spatial phenomena), since the “increasing pressure” observed in planning and making rational decisions requires the development of adequate theoretical and empirical models on which the above analyzes can be based. After a brief reminder of the essential concepts of descriptive statistics, the first theoretical part of the course aims at presenting and analyzing specific topics of exploratory statistical analysis while the second theoretical part focuses on the methods of inductive statistics through which it is possible to draw reliable conclusions and projections. Through the systematic analysis of representative examples, emphasis is given on the implementation of the methods as well as on the interpretation of results according to the possibilities and limitations of the relevant statistical methods. The examples concern real data to help students become familiar with multiple aspects of site design.
The course aims:
- to proven knowledge and understanding about the design of scientific research, methodology and research methods. Developing the knowledge and understanding sub-research objects offers at the same time the opportunity to expand their scientific horizons.
- To acquire knowledge about the use of different statistical techniques and methods.
- to obtain, by systematically applying the relevant methods, the necessary capabilities to adapt to actual research processes especially as regards search, treatment and interpretation of reliable information. At the end of the course, students will be able to design and carry out, in real terms, a small-scale as well as a large-scale scientific research.
- to develop their ability to critically analyze, evaluate and synthesize complex and multi-dimensional concepts
- to implement autonomous work
- to practice criticism and self-criticism
- to promote the progress of the knowledge society and generating new research ideas
- to promote free, creative and inductive thinking.