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 [Mentoring ] |
CT6: Ability of self-learning
CT7: Ability of solving new problems and decision-making 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, agro-food 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 |
Self-study |
A-1 Theoretical clases |
44 |
|
A-2 Computer Labs |
14 |
|
A-3 Debates, group work, etc |
1 |
|
A-4 Monitoring proofs |
8 |
|
A-5 Lecture |
|
|
A-6 Self-study |
|
75 |
A-7 Exam, evalutaion proofs |
4 |
|
A-8 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 2-5: Probability
Weeks 6-14: Inferencial Statistics
Week 15: Analysis of variance and Regression
Access the bibliography that your professor has requested from the Library.
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. Limusa-Wiley