Competencies and objectives
- Course context for academic year 2015-16
- Course content (verified by ANECA in official undergraduate and Master’s degrees)
- Learning outcomes (Training objectives)
- Specific objectives stated by the academic staff for academic year 2015-16
Course context for academic year 2015-16
This is the first course in the sequence "Quantitative Methods: Statistics and Econometrics". The second course of this sequence is in the second year.
Course content (verified by ANECA in official undergraduate and Master’s degrees)
General Competences (CG)
- CG1 : Capacity to find and analyse information.
- CG4 : Apply professional criteria based on the use of technical instruments to analyse problems.
- CG5 : Capacity to take decisions by applying acquired knowledge to practical situations.
- CG6 : Obtain important information from the data that is impossible for non-professionals to recognise.
- CG8 : Analyse problems using critical reasoning, without prejudices, precisely and rigorously.
General Competences acquired at University of Alicante (CGUA)
- CGUA2 : Use computer, I.T. and communications technology tools as a matter of course in all of one's professional activities.
- CGUA3 : Capacity for oral and written communication.
Specific Competences (CE)
- CE1 : Contribute towards the correct management of resource allocation in both the private and public context.
- CE10 : Capacity to apply the knowledge and skills acquired to solve theoretical and applied economic problems.
- CE12 : Be able to use the appropriate tools for the analysis, diagnosis and solution of economic questions and problems.
- CE2 : Identify and anticipate relevant economic problems relating to resource allocation in general, in both the private and public context.
- CE3 : Bring a rational approach to the analysis and description of any aspect of economic reality.
- CE4 : Evaluate the consequences of different options for action and select the best one according to the objectives set.
- CE8 : Identify the sources of relevant economic information and their content.
Learning outcomes (Training objectives)
- To know and understand how to describe and present economic data (in table and graph form).
- To know how to efficiently summarise the information contained in an economic data set.
- To know and understand the basic principles of exploratory data analysis.
- To demonstrate knowledge of and ability to apply the probability models used in economic analysis.
- To develop the ability to select the appropriate theoretical framework to obtain conclusions from economic data.
Specific objectives stated by the academic staff for academic year 2015-16
Enabling the students to use Excel for descriptive statistical analysis and finding binomial and normal probabilities.
;