Provide students with the basic tools of analysis and description of experimental results and modelling, as well as the correct way to implement experiences.

1. Integral calculus.

2. First-Order Ordinary Differential Equation

3. Numerical series, Series of Classes

4. Statistical Parameters

5. Probability calculus - introduction

6. Binomial Distribution

7. Poisson Distribution

8. Gauss Distribution

9. Sampling distributions

10. Tests of hypothesis

11. Linear regression and correlation

The lectures are descriptive with the introduction of the concepts and their illustration whenever possible. In practical classes, the student will be provided a statement that it must resolve in order to put into practice what was previously presented and critically grasp the concepts.

B.W.Lindgen, G.W. McEhath, D.A. Berry, "Introduction to probability and statistics", 1978.

H.Scheffe, "The analisys of variance", John Wiley & Sons, New York, 1959.

R.G.D. Steell, H.H. Torrie, "Principles and Procedures of Statistics, a Biometrical Approach, McGraw-Hill, 1980.

S.Dowdy, S. Wearden, "Statistics for researching", 2º Edição, Editora Wyley Inter Science, 1985.

0105641

6

**Teóricas**- 30 hours**Teórico-Práticas**- 30 hours

**1st Frequency:**50%**2nd Frequency:**50%