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# Probability and Statistics

 Code 8489 Year 2 Semester S1 ECTS Credits 6 Workload TP(60H) Scientific area Mathematics Entry requirements No prerequisites Mode of delivery Face-to-face. Work placements Not applicable. Learning outcomes Obtain basic knowledge of Probability and Statistics, vital for future learning of more advanced concepts that arise in the course of academic and/or professional training. Select and apply proper statistical methods to draw conclusions under uncertainty in Engineering.At the end of the course the student should be able to apply probabilistic and statistical concepts in solving engineering problems. Communicate with precision the issues that involve statistical concepts. Use a statistical software in the organization and data processing. Syllabus 1. Introduction to probability theory: axiomatic and properties of a probability; conditioning and independence; real random variables; Binomial,, Geometric, Poisson, Exponential, Normal distributions; moments and Central Limit Theorem.2. Introduction to Inferential Statistics: point estimation; properties of the estimators; confidence intervals; hypothesis tests. Main Bibliography A. Gonçalves, E., Nogueira, E. e Rosa, A.C. (2016). Probabilidades e Estatística para Ciências e Tecnologia. Conceitos e exercícios resolvidos. Almedina. B. Montgomery, D. e Runger, G. (2011). Applied statistics and probability for engineers, 5th Edt, John Wiley & Sons. Cota: MD-14-00531C. Ross, S. (2009). Introduction to probability and statistics for engineers and scientists. Amsterdam Elsevier. Cota: F-1.8-01370 (CD)E. Murteira, B., Ribeiro, C., Silva, J.A. e Pimenta, C. (2010). Introdução à estatística. Escolar Editora. Cota: EC-1.0-00135 Teaching Methodologies and Assessment Criteria The classes are theoretical and practical, in which the student will be guided to solve problems related to probabilities or statistical inference in the area of engineering, and for this they are assisted by several practical exercises sheets. The assessment of knowledge and skills acquired by students during teaching-learning is done by performing three tests (T1, T2 and T3), graded from 0 to 20. The final teaching-learning score (CEA, expressed from 0 to 20) is calculated as follows: CEA = 0,25T1+0,375T2+0,375T3The final exam exemption is granted when the final grade of teaching-learning is equal to or bigger than 9,5. The `` NON ADMITtED '' rating is awarded when the final teaching-learning grade is less than 6 values. Language Portuguese. Tutorial support is available in English.

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Electromechanical Engineering
Last updated on: 2022-01-27

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