Code: | MV116 | Acronym: | MQ |
Keywords | |
---|---|
Classification | Keyword |
OFICIAL | Basic Sciences |
Active? | Yes |
Responsible unit: | Population Studies |
Course/CS Responsible: | Integrated Masters Degree in Veterinary Medicine |
Acronym | No. of Students | Study Plan | Curricular Years | Credits UCN | Credits ECTS | Contact hours | Total Time |
---|---|---|---|---|---|---|---|
MIMV | 77 | Plan 2007 to 2017 | 1 | - | 6 | 90 | 162 |
The aim of this course is to familiarise first year students with basic mathematical/statistical concepts and techniques essential for formulating and understanding models in biology.
Students should acquire skills to understand statitiscal principles and pratical application of mathematical/statistical models in biology.
I - Differential/Integral Calculus:
- A review of functions: algebraic, logarithmic, exponential. Differentiation: rules of differentiation, implicit differentiation.
- Functions of several variables: Introduction. Partial derivatives: definition and the geometric interpretation. Optimising functions of several variables.
- Introduction to Integral Calculus: Integration - the definitive integral and areas under a curve: The definitive integral. Standard integrals and methods of integration: by partial fractions. Impropers integrals. Applications in Biology.
- Differential Equations: Introduction. First order differential equations: variables separable differential equations. Applications: Deterministic model: exponential growth and decline in continuous time; Logistic and Gompertz model for limited population growth.
II - Descriptive statistics Biological data and its graphical display; Descriptive statistics; Probability and probability distributions.
III - Statistical Inference
- Basic concepts of statistical inference: Sampling and sampling distributions; The Central Limit Theorem; Estimation and hypothesis testing; Confidence Intervals. - Inferences concerning means: Hypothesis testing and Confidence Intervals - Inference for a mean of a population; Comparing two means (paired and independent samples); The F test for comparing two standard deviations .
- Inferences concerning proportions: Hypothesis testing and Confidence Intervals - Inference for a population proportion; Comparing two proportions (paired and independent samples); Comparing more than two proportions. Measuring associations with odds ratios and relative risk.
- Correlation and Linear regression: The regression model. The method of least squares. Hypothesis testing and Confidence Interval for the regression slope. Correlation coeficient. Residual analysis.
The topics covered are introduced in the theoretical lectures, through an example of application in the biological sciences. In practical lessons students use SPSS software to solve complex exercises. Emphasis is given to teaching the need of understanding and using methods of formulating models, rather than the mechanical use of the techniques.
Designation | Weight (%) |
---|---|
Teste | 60,00 |
Trabalho laboratorial | 40,00 |
Total: | 100,00 |
The evaluation will have two components:
Theoretical (T): In the practical lessons or by final examination.
Practical (P): In the last week of lessons (1st time students) or by final examination (for the remaining students).
0.40xP + 0.60xT
The student must have at least 7 (out of 20) in each part.