You need to activate javascript for this site.
1. Home
2. Courses
3. Bioengineering
4. Statistics

# Statistics

 Code 9098 Year 2 Semester S1 ECTS Credits 6 Workload TP(60H) Scientific area Mathematics Entry requirements Basic notions of probabilities and statistics. 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 . Syllabus 1. Basic concepts of probability1.1 Random Experience, sample space and events 1.2 Classical definition of probability1.3 Axiomatic definition of probability and its consequences1.4 Conditional probability and independence of events2. Real random variables and probability distributions2.1 Real discrete and continuous random variables 2.2 Distribution moments 2.3 Characterization of some discrete and continuous probability distributions2.4 Central Limit Theorem and its applications3 Introduction to statistical inference3.1 Point estimation and estimator properties 3.2 Confidence Intervals3.3 Parametric and non-parametric hypothesis tests Main Bibliography A. Applied statistics and probability for engineers, 5th Edt, Montgomery, D. e Runger, G., John Wiley & Sons, 2011. Cota: MD-14-00531B. Introduction to probability and statistics for engineers and scientists, Ross, S., Amsterdam Elsevier, 2009. Cota: F-1.8-01370 (CD)C. Introdução à probabilidade e à estatística, 4ª Ed., Pestana, D. e Velosa, S., Fundação Calouste Gulbenkian, 2010. Cota: I-0.0-00025 D. Introdução à estatística. Murteira, B., Ribeiro, C., Silva, J.A. e Pimenta, C. Escolar Editora, 2010. Cota: EC-1.0-00135E. Grande Maratona de Estatística no SPSS, Hall, A., Neves, C. e Pereira, A., Escolar Editora, 2011. Teaching Methodologies and Assessment Criteria The assessment of knowledge and skills acquired by the students during the teaching-learning is done through the realization of two tests (classified from 0 to 20 values) with a weighting of 0.5. The final teaching-learning classification (0 to 20 values) is calculated as follows:CEA = 0.5F_1 + 0.5F_2.The final examination is granted when dispensing the final rankings teaching and learning is equal to or higher than 9.5. The "FREQUENCY" classification is granted when the final teaching-learning classification is greater than or equal to 4 values and less than 9.5 values. Language Portuguese. Tutorial support is available in English.

### Course

Bioengineering
Last updated on: 2024-01-19

The cookies used in this website do not collect personal information that helps to identify you. By continuing you agree to the cookie policy.