As the mixed test is considered essential for the evaluation, it will be necessary to obtain a minimum percentage of the total mark in order to compute (incorporate) the remaining evaluation activities.

These evaluation criteria apply to both the first and the second opportunity. The same criteria are applied to part-time students. In any case, these students should contact the coordinator of the subject so as to keep him informed of the situation.

In case of students opting for the early call opportunity, the evaluation system will be the same as stated in the scheme above. In this case, workshop activities and supervised projects should take place at least 21 days before the scheduled date for the early call opportunity.

The order of the lessons considered in this guide might be modified when explained during the classes, as a result of the teaching needs that might arise.

Some general remarks regarding the evaluation, in line with the remaining teaching guides:

- "Absent" mark. It corresponds to the student that only takes part in evaluation activities whose total weight is lower than 20% of the final mark, regardless of the mark they had obtained.

- Second opportunity and early call opportunity. The assessment criteria are the same for all the evaluation opportunities. With respect to the early call opportunity, workshop activities and supervised projects should take place at least 21 days before the scheduled date for the early call.

- Part-time and exemption-from-attendance students. It is recommended to contact the coordinator of the subject so as to keep him informed of the situation and try to adapt the evaluation system.

- Evaluation conditions. It is prohibited to enter the classroom where the evaluation activities take place with any device that allows for communication with the outside and/or information storage.

- Student identification. The student must give proof of identity, according to the existing regulation.

Learning outcomes	Study programme competences
To learn and to manage some of the main statistical methods for dealing with and analyzing any type of economic information, both numerical and qualitative, both time series and cross-section.	A1 A2 A3 A4 A5 A7 A9 A10 A12 A13	B1 B2 B3 B4 B5 B6 B7 B8 B9	C1 C4 C6 C7 C8
To know and to correctly and accurately use the econometric terminology and language.	A1 A3 A4 A5 A7 A12	B1 B2 B3 B4 B5 B6 B7 B8 B9	C1 C4 C5 C6 C7 C8
To estimate and to interpret the parameters of the classical linear regression model. To understand how the model behaves and the situations where it should be applied.	A3 A4 A5 A7 A9 A10 A12 A13	B1 B2 B3 B4 B5 B6 B7 B8 B9	C1 C4 C6 C7 C8
To use the appropriate computer tools for carrying out the calculations and estimating the aforementioned models, both in the part related to Statistical Methods and in the Introduction to Econometrics part.	A9 A10 A11	B1 B2 B3 B4 B5 B6 B7 B8 B9	C3 C6 C8

Topic	Sub-topic
1) Quantitative data analysis	- Preparing data. - Preliminar analysis for statistical and econometric methods: Graphs and measures. - Measures of concentration.
2) Qualitative data analysis	- Preliminar analysis with qualitative variables: Graphs and tables. - Independence tests. - Measures of association for nominal and ordinal variables. - Statistical methods for qualitative variables.
3) Econometrics and econometric models	- Defining Econometrics. - Econometric models and their elements. - Types of models.
4) The classical linear regression model	- One-equation linear regression model. - Model estimation by Ordinary Least Squares. - Interpretation of the estimators and inference. - Goodness-of-fit. Measures.
5) Analysis Of Variance	- General concepts. - One factor: Fixed effects and completely random information. - Two factors: Fixed effects and completely random information.
6) Time series modelling	- Stochastic processes: Definition, general characteristics and examples. - Time series: Decomposition. - Time series: Introduction to ARIMA models.

Methodologies / tests	Competencies	Ordinary class hours	Student’s personal work hours	Total hours
Introductory activities	A1 A2 A7 A11 B9 B8 C5	1	0	1
Guest lecture / keynote speech	A2 A3 A4 A7 A12 C4	17	34	51
Workshop	A7 A10 B1	6	15	21
ICT practicals	A10 A12 C3 C6 C8	4	10	14
Collaborative learning	A5 A13 B2	4	10	14
Problem solving	A9 B3 C7	6	15	21
Supervised projects	A3 A4 A5 A7 A9 A10 A12 A13 C1 C3 C6 C7 C8	4	12	16
Mixed objective/subjective test	A4 A5 B4 B5 B6 B7 C1	2	6	8

Personalized attention		4	0	4

(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies	Description
Introductory activities	The classes will start with an introduction to the subject; by means of this activity, the work to be carried out by the student will be explained in detail, as well as the assessment criteria.
Guest lecture / keynote speech	Lesson given by the lecturer that may have different formats (theory, problems and/or general examples, general guidelines of the subject, etc.). The lecturer might use audiovisual and computer means. In addition, s/he can introduce some questions posed to the students. The objective is to introduce the student into the concepts of the subject, in order to transmit the knowledge base that the student needs to start his/her work and his/her learning.
Workshop	The main objective in these classes will be the realization of especially practical tasks, with the lecturer's support and supervision: proposal and solution of applications from the theory, proposal and supervision of works, problems, exercises, presentations, expositions, debates and comments on works, solving doubts about the theory, etc. It is also possible that the lecturer explains some concepts, especially for clarifying their application, or in any case as a mere comment about the keynote speech. Evaluation activities will be carried out during these classes; these activities will be individual or group exercises.
ICT practicals	The main objective in these classes will be the development of especially practical tasks, with the lecturer's support and supervision. The computer is employed in these classes, which are reserved for lessons or concepts where the intensity of the calculations needs the computer tool. In addition, the students are introduced into the work with Statistics and Econometrics by using computer means.
Collaborative learning	Work in groups of students in order to solve the tasks assigned by the teacher to optimize their own learning and that of the rest of classmates. Before handling the work in groups, several classes will be dedicated to pose the doubts and/or difficulties found when doing the work. In this manner, a debate is created among the students, their classmates and the lecturer, what encourages the interrelation in the work and the critical spirit. Students will carry out group works so as to solve different theoretical-practical questions related to lessons of the syllabus; at the end, the group should present its work, with different possibilities regarding its presentation (oral or written); the election of the method will depend on the evolution of the teaching.
Problem solving	Personalized attention to the student in order to solve doubts related to the different lessons, not only when solving exercises but at any stage of the learning process.
Supervised projects	In combination with collaborative learning and under lecturer supervision, the student will carry out works in groups focussed on the learning of "how to do things". It is an option based on the assumption that the students care about their own learning. This teaching method is based on two basic elements: independent learning (students) and monitoring of that learning (lecturer-supervisor). The lecturer will develop the monitoring of this learning with the aim of assessing the acquisition of the knowledge defined for this category.
Mixed objective/subjective test	A mixed test will be carried out, which will correspond to the final exam. As this test is considered essential for the evaluation, it is necessary to obtain a minimum percentage of the total mark in order to compute (incorporate) the remaining evaluation activities. As an alternative to this mixed test and with the aim of promoting the continued work by the student, the lecturer will propose intermediate mixed tests along the teaching period. Passing all these intermediate tests is equivalent to pass the final test.

Methodologies	Competencies	Description	Qualification
Workshop	A7 A10 B1	The main objective in these classes will be the realization of especially practical tasks, with the lecturer's support and supervision: proposal and solution of applications from the theory, proposal and supervision of works, problems, exercises, presentations, expositions, debates and comments on works, solving doubts about the theory, etc. It is also possible that the lecturer explains some concepts, especially for clarifying their application, or in any case as a mere comment about the keynote speech. Evaluation activities will be carried out during these classes; these activities will be individual or group exercises.	20
Mixed objective/subjective test	A4 A5 B4 B5 B6 B7 C1	A mixed test will be carried out, which will correspond to the final exam. As this test is considered essential for the evaluation, it is necessary to obtain a minimum percentage of the total mark in order to compute (incorporate) the remaining evaluation activities. As an alternative to this mixed test and with the aim of promoting the continued work by the student, the lecturer will propose intermediate mixed tests along the teaching period. Passing all these intermediate tests will be equivalent to pass the final test.	50
Supervised projects	A3 A4 A5 A7 A9 A10 A12 A13 C1 C3 C6 C7 C8	In combination with collaborative learning and under lecturer supervision, the student will carry out one or several works in groups (in case of being more than one, at least one will be in groups, allowing for the possibility of individual works) focussed on the learning of "how to do things". It is an option based on the assumption that the students care about their own learning. This teaching method is based on two basic elements: independent learning (students) and monitoring of that learning (lecturer-supervisor). The lecturer will develop the monitoring of this learning with the aim of assessing the acquisition of the knowledge defined for this category.	30

Assessment comments
As the mixed test is considered essential for the evaluation, it will be necessary to obtain a minimum percentage of the total mark in order to compute (incorporate) the remaining evaluation activities. These evaluation criteria apply to both the first and the second opportunity. The same criteria are applied to part-time students. In any case, these students should contact the coordinator of the subject so as to keep him informed of the situation. In case of students opting for the early call opportunity, the evaluation system will be the same as stated in the scheme above. In this case, workshop activities and supervised projects should take place at least 21 days before the scheduled date for the early call opportunity. The order of the lessons considered in this guide might be modified when explained during the classes, as a result of the teaching needs that might arise. Some general remarks regarding the evaluation, in line with the remaining teaching guides: - "Absent" mark. It corresponds to the student that only takes part in evaluation activities whose total weight is lower than 20% of the final mark, regardless of the mark they had obtained. - Second opportunity and early call opportunity. The assessment criteria are the same for all the evaluation opportunities. With respect to the early call opportunity, workshop activities and supervised projects should take place at least 21 days before the scheduled date for the early call. - Part-time and exemption-from-attendance students. It is recommended to contact the coordinator of the subject so as to keep him informed of the situation and try to adapt the evaluation system. - Evaluation conditions. It is prohibited to enter the classroom where the evaluation activities take place with any device that allows for communication with the outside and/or information storage. - Student identification. The student must give proof of identity, according to the existing regulation.