Study Programmes 2017-2018
MATH0487-2  
Elements of statistics
Duration :
15h Th, 10h Pr, 25h Proj.
Number of credits :
Bachelor in engineering3
Bachelor in computer science3
Master in data science (120 ECTS)3
Master in data science and engineering (120 ECTS)3
Lecturer :
Louis Wehenkel
Language(s) of instruction :
French language
Organisation and examination :
Teaching in the first semester, review in January
Units courses prerequisite and corequisite :
Prerequisite or corequisite units are presented within each program
Learning unit contents :
  • Link between probability and statistics
  • Data generation and exploration
  • Parametric estimation and confidence intervals
  • Hypothesis testing
  • Association methods
Learning outcomes of the learning unit :
The student will understand the fundamental principles of statistics, and he will be able to apply them to carry out exploratory data analyses, population parameter estimation, and hypothesis testing. He will also understand the nature of regression and variance analysis problems, as well as the interest of non-parametric methods.
Prerequisite knowledge and skills :
Calculus, algebra, geometry and probability. Elements of computer science and applied mathematics.
Planned learning activities and teaching methods :
Theory is given via 6 lectures, in French. This is completed by exercise sessions (5) and by a practical project. The project will lead the student from exploratory data analysis towards parameter estimation and hypothesis testing, all this based on a real-life dataset of interest to the student. The project will be carried out by groups of two students, is mandatory, and its evaluation counts for 25% of the final grade.
Mode of delivery (face-to-face ; distance-learning) :
Face-to-face
Recommended or required readings :
Students will have access to the slides used for the theory lectures and exercise notes.
Regarding the theory part, see http://www.montefiore.ulg.ac.be/~lwh/Stats/ Regarding the exercise and practical projects, see http://www.montefiore.ulg.ac.be/~lduchesne/stats
Assessment methods and criteria :
The note is composed of two parts: the practical projects (25% of the final note) and a written exam. The latter is composed of three parts: the theory (25% of the final note), a question about the project (5%), and exercises (45% of the final note).
Work placement(s) :
No training
Organizational remarks :
2013-2014 corresponds to the first instance of this new version of the course.
Contacts :
Professor: Louis WEHENKEL (L.Wehenkel@ulg.ac.be)
Main Assistant: VAN LISHOUT François (L.Duchesne@ulg.ac.be)
Please contact us by email, using the following subject: "course: Elements of statistics". We will then fix an appointment to meet at Montefiore if necessary.