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# Statistics and Data Analysis

 Code 16218 Year 1 Semester S2 ECTS Credits 6 Workload TP(60H) Scientific area Mathematics Entry requirements Differential and integral calculus Learning outcomes At the end of the course unit the student should:- know how to select and apply probability and statistical techniques to solve problems in the field of Web-focused Computer Science;- be able to take part in studies involving the statistical processing of data, using R software, and interpret the results obtained. Syllabus 1. Descriptive statistics: frequency tables and graphical representations for one- and two-dimensional statistical variables; descriptive measures.2. Introduction to Probability Theory: properties of a probability; independence of events; conditional probability; Binomial, Hypergeometric, Geometric and Normal distributions; moments and the Central Limit Theorem.3. Introduction to statistical inference: point and interval estimation; hypothesis testing.4. Simple linear regression: least squares method. Main Bibliography - Figueiredo, F., Figueiredo, A., Ramos, A. e Teles, P. (2009). Estatística Descritiva e Probabilidades Problemas Resolvidos e Propostos com Aplicaçõees em R. Escolar Editora. Cota: EG-4.2-00440- Gonçalves, E., Nogueira, E. e Rosa, A.C. (2016). Probabilidades e Estatística para Ciências e Tecnologia. Conceitos e exercícios resolvidos. Almedina. Cota:M-7.0-00028- Montgomery, D. e Runger, G. (2011). Applied statistics and probability for engineers, 5ª Edi¸c˜ao, John Wiley & Sons. Cota: MD-14-00531- Ross, S. (2009). Introduction to probability and statistics for engineers and scientists. Amsterdam Elsevier. Cota: F-1.8-01370 (CD) Teaching Methodologies and Assessment Criteria The classes are theoretical-practical, in which the student will be guided to the resolution of exercises involving statistical inference techniques, using SPSS whenever necessary.The assessment of knowledge and skills acquired by students during the teaching-learning process is done by means of two tests (F_1 and F_2, rated from 0 to 20) with a weighting of 0.5 each.The final teaching-learning classification (CEA,,expressed in 0 to 20 values) is calculated as follows CEA=0,5F_1+0,5F_2, Final exam exemption is granted when the CEA is equal to or higher than 9.5 points, requiring a minimum score of 3 points in each test. The grade of ``FREQUENCY'' is awarded.when CEA is less than 9,5 points.Grades above 18 points are defended with an oral exam. Language Portuguese. Tutorial support is available in English.

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Web, Mobile and Cloud Computing
Last updated on: 2024-04-22

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