Duration
15h Th, 10h Pr, 25h Proj.
Number of credits
| Bachelor of Science (BSc) in Engineering | 3 crédits | |||
| Bachelor of Science (BSc) in Computer Science | 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
- 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
The course is composed of about 12 hours of theoretical lectures, 10 hours of classroom exercises, and 25 hours of assistance to the realization of practical projects with the computer.
Mode of delivery (face to face, distance learning, hybrid learning)
Distance learning.
Organisational adjustments related to the current health context
Due to the COVID-19 crisis, the information in this section is particularly likely to change.
- If the health situation allows for an in-person assessment, the assessment will take the form of an in-person written examination.
- If the health situation requires a remote assessment, the assessment will take the form of a remote written examination.
Recommended or required readings
The course notes, slides, and exercise notes will be available on the course's webpage at the beginning of the semester: https://people.montefiore.uliege.be/sacre/MATH0487/.
Assessment methods and criteria
Below you will find information on the evaluation methods planned for in-person and remote exams as well as those planned for hybrid sessions. Depending on how the health crisis evolves, the chosen method will be communicated to you no later than one month before the start of the exam session.
The assessment is composed of two grades: a grade for the practical project (approximately 15% of the final grade) and a grade for the written exam covering theory and exercises (approximately 85% of the final grade).
The projects and the written exam are mandatory. An absence for one of these parts will result in an absence for the course.
Work placement(s)
Organizational remarks
Contacts
Lecturer: Pierre Sacré (p.sacre@uliege.be). Webpage: https://people.montefiore.uliege.be/sacre/MATH0487/.