Applied Statistics

3 ECTS credits
90 h study time

Offer 1 with catalog number 1016084BNR for all students in the 2nd semester at a (B) Bachelor - advanced level.

Semester

2nd semester

Enrollment based on exam contract

Impossible

Grading method

Grading (scale from 0 to 20)

Can retake in second session

Yes

Taught in

Dutch

Faculty

Faculty of Engineering

Department

Electricity

Educational team

Gerd Vandersteen (course titular)

Activities and contact hours

16 contact hours Lecture
24 contact hours Seminar, Exercises or Practicals
24 contact hours Seminar, Exercises or Practicals

Course Content

The theory and exercises of the Applied Statistics course deal with the following content

Introduction
Probability and combinatorics
Descriptive statistics
Stochastic variables and their probability distribution
Stochastic vectors and independent stochastic variables
Mean values and covariances
Covariance and correlation coefficient
Discrete distributions
Continuous distributions
Hypothesis tests
Estimation of models

Course material

Course text (Required) : Toegepaste Statistiek, De bundel voor het hoorcollege, Gerd Vandersteen, VUB, 2220170010656, 2021
Course text (Recommended) : Oefeningen Toegepaste Statistiek, De oefeningenbundel voor de WPOs, Gerd Vandersteen, VUB, 2220170006017, 2018

Additional info

Course and the exercises bundle are for sale at the Standard Student Shop.
The course, the list of exam questions, and the exercises bundle are made avaiable in pdf format.

Learning Outcomes

General competencies

The course introduces the basic concepts of probability theory and statistics and teaches students to apply them. It is not the intention to provide an extensive theoretical structure. On the other hand, a practically useful knowledge is targetted such that the students (as future engineers or physicists) can apply the methods / techniques to their own data and problems.

During the exercises / labs, the students process experimental or simulated data to extract the relevant information using statistical methods that were explained during the lectures.

The students are expected to have mastered all parts at the level of

knowledge: the reproduction of properties and their proofs,
insight: understanding the impact of the properties, and
application: the use of the theory on unprecedented problems / exercises.

Grading

The final grade is composed based on the following categories:
Other Exam determines 100% of the final mark.

Within the Other Exam category, the following assignments need to be completed:

exam theory & exercises with a relative weight of 1 which comprises 100% of the final mark.

Note: Examen over theorie (mondeling) en oefeningenexamen (schriftelijk/PC)
Deelname aan alle examenonderdelen is verplicht om een eindcijfer te bekomen
Reproduceren van de kennis is niet voldoende, tijdens het examen wordt er uitvoerig getoetst of de student de leerstof begrijpt en zelfstandig kan toepassen.

Additional info regarding evaluation

The exam is divided into an oral part for the evaluation of the lectures and an exercise exam for the evaluation of the practical use of statistical methods. The mutual distribution of the oral exam / exercise exam is 50% / 50%. Both exams are closed book. The student may only use a formulary whose content was already recorded during the lessons, and which was printed by the examiners. When matlab is used during the exercise exam, the matlab documentation may be used.

During the oral exam (50%), all learning at the level of knowledge, insight, and application are questioned:

The exercise exam (50%) is mainly at the application level. Exercises can be requested from all learning contents of the course.

Individual results from the theory or exercise exam can not be transferred.

Allowed unsatisfactory mark

The supplementary Teaching and Examination Regulations of your faculty stipulate whether an allowed unsatisfactory mark for this programme unit is permitted.

Academic context