Environmental Statistics (250562) – Course 2024/25 PDF
Syllabus
Learning Objectives
In this subject the basic statistical concepts relevant to the natural and environmental sciences will be addressed to provide experience in the correct use and interpretation of the various statistical methods currently used in the analysis of natural data and numerical simulation data. Fundamental aspects of descriptive statistics, probability and transformation of random variables will be emphasized. Subsequently, data analysis tools, such as the central limit theorem, data distribution and hypotheses analysis, will be addressed. 1.- Perform data analyses of environmental process problems using computer tools. 2.- Perform multiple linear regression analyses using computer tools. 3.- Carry out simulations of data and transformations of random variables, as well as employing probability distributions common in Marine Sciences and make inferences about them. This subject focuses on highlighting aspects related to the state of health of the marine environment, mainly oriented to two well differentiated but complementary aspects. On the one hand, the ecological, ecosystemic and environmental aspects, which will give the students a specific vision of the environmental problems present in the marine environment, produced by the use and exploitation of the resources that it provides. On the other hand, this subject represents a transition of knowledge for students between the Extension of the subject of Basic Sciences, the subject of Applied Sciences and Techniques
Competencies
Especific
To know and apply the lexicon and concepts of the Marine Sciences and Technologies and other related fields.
Establish a good practice in the integration of common numerical, laboratory and field techniques in the analysis of any problem related to the marine environment.
Address the most relevant processes and their interactions related to their physical / chemical / biological / geological components, applying technical and scientific knowledge and criteria.
Develop a conceptual framework to address the sustainability of the marine environment and the related socio-economic activities at different scales, explaining the effects of climate change.
Carry out calculations, assessments, surveys and inspections in coastal and marine environments, as well as the corresponding technical documents.
Apply the necessary tools to analyze the economic and legal aspects of human actions and the related impacts on the marine environment, including technical advice and representation of companies and administrations.
Generic
Develop a professional activity in the field of Marine Sciences and Technologies.
Address in a comprehensive manner the analysis and preservation of the marine environment with sustainability criteria.
Total hours of student work
Hours | Percentage | |||
---|---|---|---|---|
Supervised Learning | Large group | 30h | 50.00 % | |
Medium group | 30h | 50.00 % | ||
Self Study | 90h |
Teaching Methodology
The subject is taught in 4 hours a week of face-to-face classes in the classroom or online (as agreed by the competent governing bodies) throughout the school weeks of the semester established by the academic calendar of the School. The sessions are devoted to Theory (exposition of the basic concepts and materials of the subject, illustrated with application examples), Classroom Practices (solving exercises and problems) and Laboratory Practices (carrying out calculations with application software for the subject) . Support material is used that is made available to students through the virtual campus ATENEA. Although most of the sessions will be given in the language indicated, sessions supported by other occasional guest experts may be held in other languages.
Grading Rules
The evaluation calendar and grading rules will be approved before the start of the course.
Two exams are held throughout the semester: * EP1 = Partial Exam 1, weight = 50% of the grade for the subject. * EP2 = Partial Exam 2, weight = 50% of the grade for the subject. If the grade obtained (EP1 + EP2) / 2 exceeds the approved one, that is, it is greater than or equal to 5 points out of 10, then the subject is approved per course. Otherwise, you have to go to the reevaluation exam. The re-evaluation (R) will consist of a single exam covering the entire course content. The maximum grade for the re-evaluation will be five (5.0) and the final grade for the course will be the maximum grade between the ordinary evaluation and the re-evaluation exam. -Mark EP1=0.25*Theory+0.25*Practical Exercises+0.5*Problems. -Mark EP1=0.25*Theory+0.25*Practical Exercises+0.5*Problems. -Mark R=0.25*Theory+0.25*Practical Exercises+0.5*Problems.
Test Rules
Failure to perform a laboratory assessment activity in the scheduled period will result in a mark of zero in that activity.
Office Hours
Face-to-face: to be agreed with the student. You must make an appointment in advance. Non-contact: by e-mail whenever the student wants to use it.
Bibliography
Basic
- Devore, J. L.; Berk, K. N.; Carlton, Matthew A. Modern mathematical statistics with applications. 3rd ed. Cham, Switzerland: Springer, 2021. ISBN 9783030551582.
- Devore, J. L. Probability and Statistics for Engineering and the Sciences. 8a ed. Belmont, CA: Brooks/Cole, 2012. ISBN 9780840068279.
- Canavos, G. C. Probabilidad y estadística: aplicaciones y Métodos. México [etc.]: McGraw Hill, 2000. ISBN 9684518560.
Complementary
- Ang, A. H-S.; Tang, W.H. Probability concepts in engineering: emphasis on Applications to Civil and Environmental Engineering. 2nd. New York: Wiley, 2007. ISBN 9780471720645.
- Ross, S.M. Introduction to probability and statistics for engineers and scientists. 5th ed. Oxford: Academic Press, 2014. ISBN 9780123948113.