 | Study programme 2023-2024 | Français | |
 | Data Analysis ans Process Modelisation | ||
Programme component of Bachelor's in Engineering (MONS) (day schedule) à la Faculty of Engineering |
| Code | Type | Head of UE | Department’s contact details | Teacher(s) |
|---|---|---|---|---|
| UI-B3-IRCIVI-124-M | Compulsory UE | VITRY Véronique | F601 - Métallurgie |
|
| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Credits | Weighting | Term |
|---|---|---|---|---|---|---|---|---|---|
| Français | 12 | 12 | 0 | 0 | 0 | 2 | 2.00 | 1st term |
| AA Code | Teaching Activity (AA) | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term | Weighting |
|---|---|---|---|---|---|---|---|---|
| I-META-023 | Process modelisation | 6 | 6 | 0 | 0 | 0 | Q1 | |
| I-MARO-033 | Analyse des données | 6 | 6 | 0 | 0 | 0 | Q1 |
Overall mark : the assessments of each AA result in an overall mark for the UE.
| Programme component |
|---|
Objectives of Programme's Learning Outcomes
Type of Teaching Activity/Activities
| AA | Type of Teaching Activity/Activities |
|---|---|
| I-META-023 |
|
| I-MARO-033 |
|
Mode of delivery
| AA | Mode of delivery |
|---|---|
| I-META-023 |
|
| I-MARO-033 |
|
Required Learning Resources/Tools
| AA | Required Learning Resources/Tools |
|---|---|
| I-META-023 | Not applicable |
| I-MARO-033 | Slides and notes for practical sessions |
Recommended Learning Resources/Tools
| AA | Recommended Learning Resources/Tools |
|---|---|
| I-META-023 | copies of presentations. |
| I-MARO-033 | Not applicable |
Other Recommended Reading
| AA | Other Recommended Reading |
|---|---|
| I-META-023 | Introduction to materials modelling, ed. Zoe H. Barber, Maney, London, 2005 Computational Thermodynamics - The Calphad Method, hans Lukas, Suzana Fries, Bo Sundman, Cambridge University Press, London, 2007. |
| I-MARO-033 | R.O.Duda, P.E.Hart, D.G.Stork. "Pattern Classification". John Wiley and Sons, 2000. Bishop, Christopher M. Pattern recognition and machine learning. springer, 2006. R.E.Walpole, R.H.Myers, S.L.Myers, K.Ye, "Probability and Statistics for Engineers and Scientists", Prentice Hall, 2012 K P Murphy. Machine learning: a probabilistic perspective. MIT press, 2012. |
(*) HT : Hours of theory - HTPE : Hours of in-class exercices - HTPS : hours of practical work - HD : HMiscellaneous time - HR : Hours of remedial classes. - Per. (Period), Y=Year, Q1=1st term et Q2=2nd term