Course Code : | 1001WETTSD |

Study domain: | Engineering Sciences |

Academic year: | 2019-2020 |

Semester: | 1st semester |

Sequentiality: | |

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) | Stefan Van Dongen Sandra Van Aert |

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

an active knowledge of

specific prerequisites for this course

an active knowledge of

- Dutch

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

specific prerequisites for this course

A basic knowledge of probability theory and elementary statistics (including the inverse probability model) is assumed. These topics are shortly reviewed as a start. Furthermore a working knowledge of the following topics is assumed: mathematical techniques based on linear algebra and of the computational techniques necessary to write code in R.

- The student will be able to use a graphical representation of data as an exploratory tool for model selection.
- The student will be able to select among different techniques to analyse data adequately (linear model with continuous, discrete or a mixture of both and the generalized linear model).
- The student can report statistical investigations.

The basic principles of data analysis, a survey of graphical techniques will be studied, starting from box-plots and going to scatter plot matrices. The linear model and the generalized linear model will be reviewed or introduced in an example driven approach. Computational techniques such as clustering an principal component analysis are exemplified. Some attention will be given to simulation of statistical models.

Class contact teachingLectures Practice sessions

Personal workExercises Assignments Individually Assignments In group

Personal work

ExaminationWritten examination without oral presentation Closed book Open book

Notes by the instructor are available on Bb

A list of freely available material will be published on Bb.

via email