Mathematical Statistcs DL (9858)
Coordinating lecturer:Prof. dr. Anneleen VERHASSELT 

Credits: 3,0
Study load hours: 81
Period: semester 2 (3sp)

Language of instruction: English
Exam contract: not possible

2nd Chance Exam1: Yes
Final grade2: Numerical
Tolerance3: See included in these programmes
Sequentiality
Mandatory sequentiality bound on the level of programme components
 
 
  Following programme components must have been included in your study programme in a previous education period
    Concepts of Probability and Statistics DL (9843) 6.0 stptn  
 


Prerequisites

The student needs a good mathematical background (integration, differentiation, matrices, Taylor series, ...) and basic statistics.


Content

Mathematical foundations of: 1. Probability theory; 2. Random vectors and joint distributions; 3. Convergence of random variables; 4. Point estimation; 5. Likelihood-based estimation; 6. Optimality of estimation


Compulsory textbooks (bookshop)
 

book: Mathematical statistics, Keith Knight, CRC Press, ISBN 978-158488178-0 (this book is online available as a pdf)


Organisational and teaching methods
Organisational methods  
Distance learning ✔  
Small group session ✔  


Evaluation

Semester 2 (3,00sp)

Evaluation method
Written exam100 %
Closed-book ✔
Open questions✔
Off campus online evaluation/exam✔
For the full evaluation/exam✔
Explanation (English)Yes
Use of study material during evaluation✔
Explanation (English)Formularium will be provided

Second examination period

Evaluation second examination opportunity different from first examination opprt
No


Learning outcomes
  EC = learning outcomes      DC = partial outcomes      BC = evaluation criteria  
Master of Statistics and Data Science
  •  EC 

    • The student is able to correctly use the theory, either methodologically or in an application context or both, thus contributing to scientific research within the field of statistical science, data science, or within the field of application.

     
  •  DC 

    • The student is able to correctly use the theory in an application context, thus contributing to scientific research within the field of application.

 
Included in these programmesTolerance3
1st year Master Statistics - Bioinformatics DL option mathematics compulsory Y
1st year Master Statistics - Data Science DL option mathematics compulsory N
1st year Master Statistics - Epidemiology DL option mathematics compulsory Y
1st year Master Statistics Biostatistics DL option mathematics compulsory Y



1   Education, Examination and Legal Position Regulations art.12.2, section 2.
2   Education, Examination and Legal Position Regulations art.15.1, section 3.
3   Education, Examination and Legal Position Regulations art.16.9, section 2.