If the colour codes change during the academic year to orange or red, modifications are possible, for example to the teaching and evaluation methods.

Course Code : | 1015FTISTA |

Study domain: | Statistics |

Academic year: | 2020-2021 |

Semester: | 1st semester |

Contact hours: | 30 |

Credits: | 3 |

Study load (hours): | 84 |

Contract restrictions: | Exam contract not possible |

Language of instruction: | Dutch |

Exam period: | exam in the 1st semester |

Lecturer(s) | Paul De Meulenaere Wim Casteels Kris Annaert Annelies Fabri |

At the start of this course the student should have acquired the following competences:

an active knowledge of

general notion of the basic concepts of

- competences corresponding the final attainment level of secondary school

an active knowledge of

- Dutch

- English

- general knowledge of the use of a PC and the Internet

general notion of the basic concepts of

Matlab

- You know the principles of probability theory and you are able to apply this in concrete situations. (BE1, BE2)
- You understand why random variables are being used, you can calculate the expected values and the variance. (BE2)
- You know a couple of discrete and continuous probability distributions, you know in which situations these are applicable and you can make probability calculations with these. You can determine the boundary values of the random probability variable with the inverse cumulative distribution function. (BE1, BE2)
- You can make estimates of the average value and the variance on the basis of a sample. You can test the measured values for normality, and you choose the suitable methodology to determine a confidence interval for the estimated parameter. (BE2, BR1)
- You can formulate hypotheses and check if they are acceptable for a certain level of significance. (BE2, BR1)
- You know the meaning of regression and you can calculate and interpret the correlation between parameters. (BR1)

This is a basic course in statistics for engineering students in order to acquire the skills to do elementary statistical analysis of data. The relationship between the sample and the population is important here.The student will receive an introduction to the structure of probability distributions starting from theory (probability)or from an experiment.With these, probabilities can be calculated. Common probability distributions are discussed with emphasis on the judicious choice of the appropriate probability distribution, depending on the context.

Based on sample results, the student is able to make estimates about the parameters of a probability distribution or the nature of the probability distribution itself. The student can draw judiciously a sample, can analyze the results and process them graphically. Correlation and regression are also discussed.

As a tool we use Matlab since we use this software throughout the entire curriculum for calculations and simulations. For a basic course in statistics, the available statistical functions in Matlab are more than adequate.

Class contact teachingLectures Practice sessions

Personal workExercises

**5.3 Facilities for working students ***

Classroom activities

Personal work

Classroom activities

- Exercise sessions: free to choose the group division

ExaminationWritten examination without oral presentation Written exam: electronic Closed book Multiple-choice Open-question

Lecture notes 3-Statistiek met Matlab, available at cursusdienst Campus Groenenborger.

email:

annelies.fabri@uantwerpen.be

kris.annaert@uantwerpen.be

paul.demeulenaere@uantwerpen.be

wim.casteels@uantwerpen.be