Competencies and objectives
Course context for academic year 2019-20
This is the first course in the sequence "Quantitative Methods: Statistics and Econometrics". The sequence continues in the second and third years.
Course content (verified by ANECA in official undergraduate and Master’s degrees) for academic year 2019-20
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 that is impossible for non-professionals to recognise from the data.
- 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 2019-20
Enabling the students to use Excel for descriptive statistical analysis and finding binomial and normal probabilities.
General
Code:
35009
Lecturer responsible:
CARNERO FERNANDEZ, MARIA ANGELES
Credits ECTS:
6,00
Theoretical credits:
1,20
Practical credits:
1,20
Distance-base hours:
3,60
Departments involved
-
Dept:
FOUNDATIONS OF ECONOMIC ANALYSIS
Area: FOUNDATIONS OF ECONOMIC ANALYSIS
Theoretical credits: 1,2
Practical credits: 1,2
This Dept. is responsible for the course.
This Dept. is responsible for the final mark record.
Study programmes where this course is taught
-
DEGREE IN ECONOMICS
Course type: CORE (Year: 1)