Code | Type | Head of UE | Department’s contact details | Teacher(s) |
---|---|---|---|---|
UI-B2-IRCIVI-003-M | Compulsory UE | GILLIS Nicolas | F151 - Mathématique et Recherche opérationnelle |
Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Credits | Weighting | Term |
---|---|---|---|---|---|---|---|---|---|
Français | 0 | 0 | 0 | 0 | 0 | 4 | 4 |
AA Code | Teaching Activity (AA) | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term | Weighting |
---|---|---|---|---|---|---|---|---|
I-MARO-005 | 50% | |||||||
I-MARO-007 | 50% |
Unité d'enseignement | ||
---|---|---|
UI-B1-IRCIVI-003-M Mathématique pour l'ingénieur 1 | ||
UI-B1-IRCIVI-004-M Mathématique pour l'ingénieur 2 |
Objectives of general skills
- Understand the theoretical and methodological fundamentals in science and engineering to solve problems involving these disciplines
- Identify, describe and explain basic scientific and mathematical principles
- Identify, describe and explain the basic principles of engineering particularly in their specialising field
- Understand laboratory techniques: testing, measuring, monitoring protocol, and security
- Select and rigorously apply knowledge, tools and methods in sciences and engineering to solve problems involving these disciplines
UE's Learning outcomes
- Understand and explain the basic concepts of probability and some important results (law of large numbers, Central Limit Theorem);- Solve simple applications implementing these concepts and results in a number of concrete situations (gambling, election polls, queues, fault diagnosis, ...); - Construct an interval containing almost certainly the value of a parameter of the distribution of a variable al- Testing the assumptions made on the value of parameters associated with random variables, and other assumptions such as independence, fit and homogénéit- Establish a linear regression model to an explanatory variable.
UE Content
notions of probability: random variables and distribution; classical distributions; vectors al independence, correlation, normal distribution; laws of large numbers; central limit theorem, characteristic function, approximation to the binomial distribution by the normal distribution and the Poisson distribution; modeling real situations by probability (eg, queues, Google PageRank).
Notions of statistics: basic descriptive statistics in one and two dimensions (sample frequency, graphics); correlation; regression; independence; estimate average intervals, variance, proportion; regression coefficient; maximum likelihood method; hypothesis testing (population mean, proportion, variance, comparison of means and variances, fit, independence); linear regression model (in one variable).
Prior experience
Not applicable
Term 1 for Integrated Assessment - type
- Written examination
Term 2 for Integrated Assessment - type
- Written examination
Term 3 for Integrated Assessment - type
- Written examination
Resit Assessment for IT - Term 1 (B1BA1) - type
- Written examination
Type of Teaching Activity/Activities
AA | |
---|---|
I-MARO-005 | |
I-MARO-007 |
Mode of delivery
AA | |
---|---|
I-MARO-005 | |
I-MARO-007 |
Required Reading
AA | |
---|---|
I-MARO-005 | |
I-MARO-007 |
Required Learning Resources/Tools
AA | |
---|---|
I-MARO-005 | |
I-MARO-007 |
Recommended Reading
AA | |
---|---|
I-MARO-005 | |
I-MARO-007 |
Recommended Learning Resources/Tools
AA | |
---|---|
I-MARO-005 | |
I-MARO-007 |
Other Recommended Reading
AA | |
---|---|
I-MARO-005 | |
I-MARO-007 |
Term 1 Assessment - type
AA | |
---|---|
I-MARO-005 | |
I-MARO-007 |
Term 1 Assessment - comments
AA | |
---|---|
I-MARO-005 | |
I-MARO-007 |
Resit Assessment - Term 1 (B1BA1) - type
AA | |
---|---|
I-MARO-005 | |
I-MARO-007 |
Resit Assessment - Term 1 (B1BA1) - Comments
AA | |
---|---|
I-MARO-005 | |
I-MARO-007 |
Term 2 Assessment - type
AA | |
---|---|
I-MARO-005 | |
I-MARO-007 |
Term 2 Assessment - comments
AA | |
---|---|
I-MARO-005 | |
I-MARO-007 |
Term 3 Assessment - type
AA | |
---|---|
I-MARO-005 | |
I-MARO-007 |
Term 3 Assessment - comments
AA | |
---|---|
I-MARO-005 | |
I-MARO-007 |