Duration
10h Th, 10h Pr, 10h Mon. WS
Number of credits
| Master in mathematics (120 ECTS) | 3 crédits | |||
| Master in mathematics (60 ECTS) | 3 crédits |
Lecturer
Language(s) of instruction
French language
Organisation and examination
Teaching in the first semester, review in January
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
This course focuses mainly on the theoretical concepts not devlopped in the co-requisite course (ie High -dimensional data analysis). The content is therfore the same as in the co-requisite course mais only the mathematical justifications, proofs and some theoretical exercises will be considered.
Learning outcomes of the learning unit
After this course, the mathematician-student will have a deep knowledge of the mathematical justifications of the multivariate techniques taught in the course "high-dimensional data analysis".
Prerequisite knowledge and skills
This course is aimed for students with a strong mathematical background (bachelor in mathematics) and cannot be attended without its co-requisite course.
Planned learning activities and teaching methods
The learning activities consist in studying the proofs and mathematical justifications and the solving of theoretical exercises (there will be no - or at least few - use of a statistical software).
Mode of delivery (face-to-face ; distance-learning)
The lectures will be given face-to-face. For the exercises, no face-to-face session will be systematically planned. Lists of statements will be put on line on eCampus and the students will be invited to cooperate in order to solve these. Some discussion on the solving and/or on encountered problems will be organised from time to time during the lectures.
Recommended or required readings
There are no lecture notes.
Some reference books will be suggested during the course.
Assessment methods and criteria
Oral exam with questions on theory and some exercises.
Work placement(s)
Organizational remarks
Contacts
Gentiane Haesbroeck (G.Haesbroeck@uliege.be)
Adaptation of teaching commitments following the COVID-19 pandemic for the May-June 2020 session
Teaching methods implemented : distance-learning
Assessment subjects
Assessment methods
Contacts
Adaptation of teaching commitments following the COVID-19 pandemic for the Aug-Sept 2020 session
Assessment subjects
Same as in January
Assessment methods
Individual exam on theory and exercises. The questions will be sent by email at 9 o'clock (on the day of the exam) and the hand-written resolutions will have to be sent back by email for 1 am on the same day.