Course code: 502203  Subject title: STATISTICS  
Credits: 6  Type of subject: Basic  Year: 1  Period: 2º S  
Department: Statistics and Operative Research  
Lecturers  
FERNANDEZ MILITINO, ANA 
CT6: Ability of selflearning
CT7: Ability of solving new problems and decisionmaking capability
CG2: Adequate knowledge of the physical problems, technologies, equipment, and water and energy supply systems, the limits imposed by budgetary factors and building regulations, the relationships between installations and/or buildings with farms, agrofood industries and spaces related to gardening and landscaping with their social and environmental surroundings, as well as the need to relate those surroundings from that environment with human needs and environmental protection.
CE1: Ability to solve mathematical problems that may arise in engineering. Aptitude for applying knowledge towards: linear algebra, geometry, differential geometry, differential and integral calculus, differential equations and partial derivatives, numerical methods and numerical algorithmic methods, statistics, and optimization.
To carry out statistical analysis of data to summarize a report in an efficient and accurate way
To know a statistical package for working with data bases and simulation of random experiments
To Model problems of random properties using probabilities, conditional probabilities and independent events
To recognize the main discrete and continuous probability distributions, and the main rules of probabilities
To know basic statistical models used in design of experiments, assessment and environmental problems
Methodology  Activity 
Attendance 
Selfstudy 
A1 Theoretical clases 
44 

A2 Computer Labs 
14 

A3 Debates, group work, etc 
1 

A4 Monitoring proofs 
8 

A5 Lecture 


A6 Selfstudy 

75 
A7 Exam, evalutaion proofs 
4 

A8 Tutorial 
4 

... 


Total 
75 
75 

Learning Outcomes 
Competences 
Evaluation Activity 
Weight 
Second chance 
1. To carry out statistical analysis of data to summarize a report in an efficient and accurate way 2. To know a statistical package for working with data bases and simulation of random experiments 3. To Model problems of random properties using probabilities, conditional probabilities and independent events 4. To recognize the main discrete and continuous probability distributions, and the main rules of probabilities 5. To know basic statistical models used in design of experiments, assessment and environmental problems 
CT6 CT7 CG2 CE1 
Theoretical and computer evaluation proof At least, 5 points of 10 will be necessary for passing the exam 
50% 
Yes 
1. To carry out statistical analysis of data to summarize a report in an efficient and accurate 
CT6 CT7 CG2 CE1 
Individual Monitoring Proofs 
40% 
No 
5. To know basic statistical models used in design of experiments, assessment and environmental problems

CT6 CT7 CG2 CE1 
Active Participation 
10% 
No 
Descriptive Statistics
Probabilidad
Inferencial Statistics
Statistical Modelling
Week 1: Descriptive Statistics
Weeks 25: Probability
Weeks 614: Inferencial Statistics
Week 15: Analysis of variance and Regression
Acceda a la bibliografía que su profesor ha solicitado a la Biblioteca.
Basic
Ugarte, M. D., Militino, A. F., Arnholt, A. T. (2008). Probability and Statistics with R. CRC Press/Chapman and Hall.
Supplementary
Devore, J. (2005) Applied statistics for engineers and scientists. Thomson
Montgomery, D.C. (2002). Probabilidad y Estadística aplicadas a la ingeniería. LimusaWiley