ECTS credits ECTS credits: 6
ECTS Hours Rules/Memories Student's work ECTS: 98 Hours of tutorials: 3 Expository Class: 31 Interactive Classroom: 18 Total: 150
Use languages Spanish, Galician
Type: Ordinary Degree Subject RD 1393/2007 - 822/2021
Departments: Statistics, Mathematical Analysis and Optimisation
Areas: Statistics and Operations Research
Center Higher Technical Engineering School
Call: Second Semester
Teaching: With teaching
Enrolment: Enrollable | 1st year (Yes)
To acquire the managing, under a practical approach, of the diverse technologies that allow a correct and rigorous exposition, withdrawal, analysis and interpretation of information specially focused the development of new products and processes as well as the development of the existing ones.
These aims centre on the foundations and basic models of the statistical methods and on the exploratory analysis and inferencial of the information specially directed chemical engineers.
Descriptive statistics
Introduction to the Statistics. Types of variables. Distribution of frequencies. Graphical representations. Typical measures: Measures of position, of dispersion and of form.
Statistical description of two variables
Statistical two-dimensional variable. Distributions of frequencies. Typical measures: Vector of averages, counterfoil of variances - covariances and correlation. Linear dependence. Straight lines of regression.
Probability
Evolution of the Calculation of probabilities. Basic concepts. Random experiment. Sample space. Events. Definition of probability. Determined probability. Independence of events. Classic theorems: Rule of the product, Law of total probabilities and Bayes's Theorem.
Random variables and principal models probabilísticos discreet
Definition of random variable. Random discreet variable: Distribution of probability and distribution function. Principal discreet distributions: Bernoulli, Binomial, Poisson, …
Random constant variables
Random constant variable .Función of density and distribution function. Measures typical of a random variable: mathematical Hope, variance and standard deviation. Other typical measures. Classification of a random variable. Desigualdades relative to moments.
Principal models probabilísticos constant
The Uniform distribution. The Exponential distribution. The Normal distribution. Approximation of other distributions for the normal distribution. Central theorem of the Limit. Other constant distributions of interest.
Statistical inference: point estimation and confidence intervals
Introduction to the estimation. More usual esteeming puntules. Distribution of the esteeming most usual. Concept of Confidence interval. General planning of a confidence interval. Confidence intervals for one ó two populations.
Contrast of hypothesis
The problem of the contrast of hypothesis: types of hypothesis, types of mistakes and his associate probabilities. Critical level or p-value. Contrasts of hypothesis for one ó more populations. Relation between intervals of confidence and contrasts of hypothesis.
Introduction to the optimization
Introduction to the optimization. Linear programming: The method of the simplex.
Basic bibliography:
Subjects of the asignatura in the virtual campus and the following books :
NAVIDI W. (2006): Estadística para ingenieros y científicos. McGraw-Hill.
MENDENHALL, W,SINCICH, T (2016) Statistics for Engineering and the Sciences . CRC Press
Complementary bibliography:
DEVORE J.L. (2001). Probabilidad y Estadística para Ingeniería y Ciencias. Thomson Learning.
FREUND J.E., MILLER I. Y MILLER M. (2000). Estadística Matemática y Aplicaciones. Prentice Hall.
MENDENHALL, W. (1987). Introducción a la Probabilidad y a la Estadística. Wadsworth Internacional / Iberoamérica.
MONTGOMERY D.C. Y RUNGER G.C. (1996). Probabilidad y Estadística aplicadas a la Ingeniería. McGraw-Hill.
PEÑA D. (1991). Estadística. Modelos y Métodos. 1. Fundamentos. Alianza Universidad Textos.
QUESADA-PALOMA V., ISIDRO A. Y LÓPEZ L.J. (1984). Curso y Ejercicios de Estadística. Alhambra Universidad.
WALPOLE R.E., MYERS R.H. Y MYERS S.L. (1998). Probabilidad y Estadística para Ingenieros. Prentice Hall.
(As it appears in the memory of degree)
Specific competencies
CB.1.Que students have demonstrated knowledge and understanding in a field of study that part of the basis of general secondary education, and is typically even level , although it is supported by advanced textbooks , includes also some aspects that imply knowledge of the forefront of their field of study .
General competitions
CG.3. Knowledge in basic and technological matters, which it qualifies for
The learning of new methods and theories, and provide them with versatility for
To adapt to new situations.
CG.4. Aptitude to solve problems with initiative, capture of decisions,
Creativity, critical reasoning and of reporting and transmitting knowledge,
Skills and skills in the field of the chemical industrial engineering.
CG. 8 Aptitude to apply the beginning and methods of the quality.
CG.10 Aptitude to be employed at a multilingual and multidisciplinary environment.
Transverse competencies
CT.1. Capacity of analysis and synthesis
CT.2. Aptitude to organize and plan
CT.3. Oral and written communication
CT.4. Skills for the use and development of of IT applications
CT.5. Capacity of management of the information
CT.6. Resolution of problems
CT.8. Teamwork
CT.11. Aptitude to communicate with experts of other areas
CT.12. Critical reasoning and ethical commitment
CT.13. Aptitude to apply the knowledge in the practice
CT.17. Creativity
CT.19. Autonomous learning
CT.20. Initiative and entrepreneurship
Basic specific competencies
FB.1.4 Ability to solve mathematical problems that may
arise in engineering .
Ability to apply knowledge of Statistics and Optimization
Stage 1 (normality adapted)
The subject has semiannual character with six credits ECTS by what will have 28 hours of docencia expositiva and 21 hours of docencia interactive, in which include the practices of computer with EXCEL.
The kinds will have a length of 55 minutes and will develop in the classroom assigned doing use fundamentally of the blackboard and of presentations. fomentará The participation of the students in the kinds, especially in the appearances mas practical. Also will argue and will resolve diverse exercises billed in bulletins that will be delivered to the alumnado for fomentar his personal work, using also to evaluate his aprovechamiento.
The competitions CB.1, CG.3, CG.10, CT.1,CG.8, CT.2 And CT.3 fomentaran In the kinds expositivas, the CG.8, CG.4, CT.2 And CT.3 Will develop in the interactive kind and the competitions CG.8,CG.10 And CT.4 In the practical kinds of computer with excel.
In the tutorías will treat to resolve the doubts suscitadas by the students on the theoretical kinds-practical or on the problems that have to solve.
The alumnado will have the support of the virtual campus of the USC, through the page of the course, for disponer of access to the programs, bibliography and distinct bulletins of exercises, like this as to notes of some subjects and information on voluntary complementary activities and tools of communication.
Stages 2 (distanciamiento) and 3 (closing of the installations)
modifies the previous in the sense that when it do not result possible impartir docencia presencial, will be substituted by docencia síncrona through the platform TEAMS, complemented with orientations and exercises resolved in the virtual course
The rating of each student and acquisition of various skills will be done through continuous assessment and the completion of a final exam. There will be a theoretical and practical final exam (both at the earliest opportunity and in July, the extraordinary chance of recovery course) involving the interpretation of a number of issues, development of theory questions and solving problems. This examination will be assigned a 70% weight in the final grade of the subject.
Continuous assessment is carried out through written controls, delivered works, participation and utilization of classes and practices. This evaluation will represent 20% of the final grade.
The tutorials will have a weight of 10% of the final grade.
The student will know before the test scores work, activities and tutorials.
Be considered a student did not show up the matter if it does not work nor did any given theoretical and practical final exam (both at the first opportunity as at the extraordinary July)
The CB.1, CG.3, CG.8, CT6, CT1, CT3, CT13 ,CT19 and FB1.4 competencies will be assessed through the final exam.
Through continuous assessment and tutoring the CG4, CG10, CT1, CT2, CT3, CT8, CT11, CT12, CT17 and CT20 skills are evaluated.
Also in the practical classes the CG3, CT4 and CT5 skills are valued.
Activity Hours Attend Them Hours I work pupil ECTS
Classes magis. 28,0 42,0 2,8
Seminars 9,0 13,5 0,6
Aulainformática 12,0 6,0 0,9
Tutorships group 2,0 8,0 0,4
Tutorships individual. 2,0 3,0 0,2
Examination and review 5,0 22,0 1,1
(As it appears in the memory of degree)
To overcome successfully to matter is advisable:
- the assistance to the theoretical and practical classes and the resolution and review of the problems that they propose.
- to dedicate to the study of the matter a time regularly distributed along the four-month period.
- to verify the degree of assimilation of the concepts and of acquisition of the basic technologies of calculation, solving the exercises proposed in class.
- to use the software of the matter in the working hours of the pupil.
- to do use of the schedule of tutorships to consult any doubt that could arise.
- with the utilization of the recommended bibliography it is possible to complete or to extend any topic.
PLAN OF CONTINGENCY (in front of possible changes of stage)
METHODOLOGY:
Plan of contingency for activities docentes in remote: they would realize , of form síncrona and always segun the schedule established by the centre, through the different telematic means available in the USC, preferably the Virtual Campus and/or Ms Teams. Because of the nature and contents of this subject, like this as to the methodology employed, do not exist significant differences between the docencia presencial and the docencia in remote. For the realization of tutorías, like this as to maintain a direct communication so much between the proper students and between these and the docente, will be able to realize through the forum of the Virtual Campus, by means of Ms.Teams Or well by means of electronic post.
Stage 2 (distanciamento)
In this stage the docencia expositiva impartirá by videoconference using the tools facilitated by the USC (Microsoft Teams). In the case of the docencia interactive of laboratory, part of the docencia will be able to be telematic. If the measures adopted by the sanitary authorities allow it, the interactive kinds will be presenciales, respecting the official schedule of kinds approved by the Centre. It will prioritize the presencialidad in the proofs of evaluation front to the interactive kinds presenciales. The tutorías will require previous appointment.
Stage 3 (closing of the centres)
The docencia will be telematic and the kinds will respect the official schedule. If it is not like this, will communicate him to the alumnado with anterioridad. All the formative activities of docencia impartirían through the tools of videoconference of the University of Santiago of Compostela, including the tutorías individual and/or of group. The tutorías will require previous appointment.
SYSTEM OF EVALUATION
Stage 2
The system of evaluation will be exactly the same independentemente of the modalidad of docencia employee (presencial or virtual), with the only difference that the activities of evaluation will realize , as they establish the competent authorities, or well presencialmente in the classroom or well in remote by means of the telematic means available in the USC.
Stage 3
The evaluation in this stage coincides with the exposed in the stage 2, realizing the examinations by telematic road. In case that it was necessary, the works or practical could expose by means of a presentation and discussion through Videoconference. In this case the alumnado will have to disponer of a device with microphone and camera. The student can be interviewed during the realization of the proofs.
Maria Angeles Fernandez Sotelo
Coordinador/a- Department
- Statistics, Mathematical Analysis and Optimisation
- Area
- Statistics and Operations Research
- Phone
- 881813210
- mangeles.fernandez.sotelo [at] usc.es
- Category
- Professor: University Lecturer
Jose Ameijeiras Alonso
- Department
- Statistics, Mathematical Analysis and Optimisation
- Area
- Statistics and Operations Research
- Phone
- 881813165
- jose.ameijeiras [at] usc.es
- Category
- Professor: LOU (Organic Law for Universities) PhD Assistant Professor
| Monday | |||
|---|---|---|---|
| 18:00-19:30 | Grupo /CLIL_01 | Spanish | Computer Room I1 |
| Tuesday | |||
| 18:00-19:30 | Grupo /CLIL_02 | Spanish | Computer Room I1 |
| Wednesday | |||
| 18:00-19:30 | Grupo /CLIL_03 | Spanish | Computer Room I1 |
| Thursday | |||
| 18:00-19:30 | Grupo /CLIL_04 | Spanish | Computer Room I1 |
| 05.28.2021 09:15-14:00 | Grupo /CLIL_01 | Classroom A1 |
| 05.28.2021 09:15-14:00 | Grupo /CLIS_01 | Classroom A1 |
| 05.28.2021 09:15-14:00 | Grupo /CLIS_03 | Classroom A1 |
| 05.28.2021 09:15-14:00 | Grupo /CLIL_02 | Classroom A1 |
| 05.28.2021 09:15-14:00 | Grupo /CLIL_04 | Classroom A1 |
| 05.28.2021 09:15-14:00 | Grupo /CLIS_02 | Classroom A1 |
| 05.28.2021 09:15-14:00 | Grupo /CLIL_03 | Classroom A1 |
| 05.28.2021 09:15-14:00 | Grupo /CLE_01 | Classroom A1 |
| 05.28.2021 09:15-14:00 | Grupo /CLE_01 | PROJECTS |
| 05.28.2021 09:15-14:00 | Grupo /CLIL_01 | PROJECTS |
| 05.28.2021 09:15-14:00 | Grupo /CLIS_01 | PROJECTS |
| 05.28.2021 09:15-14:00 | Grupo /CLIS_03 | PROJECTS |
| 05.28.2021 09:15-14:00 | Grupo /CLIL_02 | PROJECTS |
| 05.28.2021 09:15-14:00 | Grupo /CLIL_04 | PROJECTS |
| 05.28.2021 09:15-14:00 | Grupo /CLIS_02 | PROJECTS |
| 05.28.2021 09:15-14:00 | Grupo /CLIL_03 | PROJECTS |
| 06.30.2021 09:15-14:00 | Grupo /CLIL_02 | Classroom A1 |
| 06.30.2021 09:15-14:00 | Grupo /CLIL_04 | Classroom A1 |
| 06.30.2021 09:15-14:00 | Grupo /CLIS_02 | Classroom A1 |
| 06.30.2021 09:15-14:00 | Grupo /CLIL_03 | Classroom A1 |
| 06.30.2021 09:15-14:00 | Grupo /CLE_01 | Classroom A1 |
| 06.30.2021 09:15-14:00 | Grupo /CLIL_01 | Classroom A1 |
| 06.30.2021 09:15-14:00 | Grupo /CLIS_01 | Classroom A1 |
| 06.30.2021 09:15-14:00 | Grupo /CLIS_03 | Classroom A1 |