You need to activate javascript for this site.
Menu Conteúdo Rodapé
  1. Home
  2. Courses
  3. Optometry and Vision Sciences
  4. Biostatistics

Biostatistics

Code 12510
Year 2
Semester S2
ECTS Credits 6
Workload TP(60H)
Scientific area Mathematics
Entry requirements Cálculo I
Mode of delivery Face to Face.
Work placements Not applicable
Learning outcomes At the end of the curricular unit, students should be able to:

- 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 Optometry and Vision Science.
Syllabus 1. Introduction to Probability Theory:
- axioms and laws of probability, conditional probability and independence of events;
- Binomial, Geometric, Poisson, Normal distributions;
- moments and Central Limit Theorem.
2.Introduction to Statistical Inference:
- point estimation;
- confidence intervals,
- hypothesis tests.
- linear regression.
Main Bibliography - Gonçalves, M. E., Nogueira, M. E. e Rosa, A. C. (2020). Probabilidades e estatística para ciências e tecnologia : conceitos e exercícios resolvidos .Edições Almedina. Cota: M-7.0-00029.
- Hall, A., Neves, C. e Pereira, A. (2011). Grande maratona de estatística no SPSS. Escolar Editora. Cota: EG-4.2-00500.
- Murteira, B., Ribeiro, C., Silva, J.A. e Pimenta, C. (2010). Introdução à estatística. Escolar Editora. Cota: EC-1.0-00135
- Pedrosa, A. e Gama, S. (2004). Introdução computacional à probabilidade e estatísitca. Porto Editora. Cota: I-8.0-00013
Teaching Methodologies and Assessment Criteria The assessment of knowledge and skills acquired by students during teaching and learning
is done by carrying out two evaluation moments (M1 and M2), classified
from 0 to 10 values.
The final teaching and learning classification, TLC, from 0 to 10 points, is calculated as follows:
TLC=M1+M2.
Exemption from the final exam is granted when the final teaching and learning classification is equal
or greater than 9.5 values.
All assessments carried out during the semester will be face-to-face if the
necessary conditions are granted, otherwise they will be carried out online.
Language Portuguese. Tutorial support is available in English.
Last updated on: 2025-03-11

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