| Lectures and exercises |
hours |
| Topics |
Specific contents |
|
| Descriptive statistics |
Summary statistics; Graphical summaries; Measures of association and correlation. |
6
|
| Probability |
Basic ideas; Conditional probability and independence; Random variables; Functions of random variables; Jointly distributed random variables. |
16
|
| Propagation of error |
Measurement error; Linear combinations of measurements;
Uncertainty for functions of measurements. |
3
|
| Commonly used probability distributions |
Bernoulli; Binomial; Poisson; Normal and lognormal; Exponential; Gamma and Weibull. |
15
|
| Sequences of random variables and limit theorems |
Law of large numbers; Central limit theorem. |
4
|
| Sampling and introduction to statistical inference |
Sampling methods; Statistics and their distribution; Model goodness of fit. |
6
|
| Total hours for lectures and exercises |
50 |
| for exercises only |
|
|
Further educational activities
|
hours
|
| Labs |
|
| Tutorials / Seminars |
|
| Workshops |
|
| Guided tours |
|
| |
|
| Total hours for further educational activities |
0 |
| Total hours |
50
|