2018-2019 / STAT0080-1

Statistics and probability seminars

Duration

Number of credits

 Master in mathematics (120 ECTS)4 crédits 

Lecturer

Gentiane Haesbroeck, Yvik Swan

Coordinator

Yvik Swan

Language(s) of instruction

French language

Organisation and examination

All year long, with partial in January

Schedule

Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

The course consists of two parts: 

  • Attendance at the statistics and probability seminars organised by the Department of Mathematics
  • Personal project devoted to a theme developed by one of the speakers invited during the seminars

Learning outcomes of the learning unit

At the end of this course, the student will have developed his/her general knowledge of statistics and probability. The personal projet devoted to one of the themes will also provide the student with the opportunity to train his/her capacity for analysis and synthesis. His/her capacity for creativity and critical sense will also be developed.

Prerequisite knowledge and skills

The course is included in the statistics orientation of the master of mathematics as it is intended for students who specialize in this field and have an appropriate backgroung at the beginning of the course. 
 
Nevertheless, attendance to the seminars (without the personal project) is open to everyone interested. 

Planned learning activities and teaching methods

The learning activities consist in the attendance at the seminars. The final programme is available on the website https://sites.google.com/site/yvikswan/monthly-seminar  where it will be regularly updated. 

Mode of delivery (face-to-face ; distance-learning)

Attendance at the seminars is compulsory.

Recommended or required readings

Assessment methods and criteria

The evaluation of the course is based on the following elements:
- attendance at all the seminars (unjustified absences will be taken into account)
- writing of a report (max 5 pages) describing the content, main definitions and concepts of one of the presentations. Any personal input (implementation of an algorithm, examples, application to data, simulations...) will be appreciated.
- oral defence of the personal project, organised in May/June as follows


  • 10-minute presentation at the blackboard of the main points of the personal report
  • 10 minute discussion and Q&A. It is expected that the students masters correctly the notions that he/she has presented; any personal contribution and deeper understanding will be gratified with a bonification in the grade. 

Work placement(s)

Organizational remarks

Contacts

Coordinator : Yvik Swan (email: yswan@ulg.ac.be)