Study programme 2023-2024 | Français | ||
Process Modeling | |||
Programme component of Master's in Chemical Engineering ansd Materials Science (MONS) (day schedule) à la Faculty of Engineering |
Code | Type | Head of UE | Department’s contact details | Teacher(s) |
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UI-M1-IRCHIM-008-M | Compulsory UE | VITRY Véronique | F601 - Métallurgie |
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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 |
Programme component |
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Objectives of Programme's Learning Outcomes
Learning Outcomes of UE
Interpret the results of modelling with a critical mind; Interact with the people responsible for modelling to improve its quality ; Extract the significant data of a process to prepare modelling;
Being familiar with the most important modeling methods and their domains of application. Approach to process modeling by concrete examples from chemical engineering and materials science.
Being conscient of the role of modeling in industry and of the validation of models by experimental data (by the way of design of experiments).
UE Content: description and pedagogical relevance
Data analysis; Physical modeling; Analytical modeling methods: CALPHAD methods, ab initio modeling, molecular dynamics; Introduction to design of experiments.
Prior Experience
Not applicable
Type(s) and mode(s) of Q1 UE assessment
Q1 UE Assessment Comments
Integrated assessment: a single written exam for the 2 AA of the UE, including aspects of all aprts of the course.
Method of calculating the overall mark for the Q1 UE assessment
Exam : 90%; reports from practicals: 10%
Type(s) and mode(s) of Q1 UE resit assessment (BAB1)
Q1 UE Resit Assessment Comments (BAB1)
-
Method of calculating the overall mark for the Q1 UE resit assessment
-
Type(s) and mode(s) of Q3 UE assessment
Q3 UE Assessment Comments
Integrated assessment: a single written exam for the 2 AA of the UE, including aspects of all aprts of the course.
Method of calculating the overall mark for the Q3 UE assessment
Exam : 90%; reports from practicals: 10%
Type of Teaching Activity/Activities
AA | Type of Teaching Activity/Activities |
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I-META-023 |
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I-MARO-033 |
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Mode of delivery
AA | Mode of delivery |
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I-META-023 |
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I-MARO-033 |
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Required Learning Resources/Tools
AA | Required Learning Resources/Tools |
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I-META-023 | Not applicable |
I-MARO-033 | Slides and notes for practical sessions |
Recommended Learning Resources/Tools
AA | Recommended Learning Resources/Tools |
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I-META-023 | copies of presentations. |
I-MARO-033 | Not applicable |
Other Recommended Reading
AA | Other Recommended Reading |
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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. |