Study programme 2022-2023 | 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 |
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| Français | 12 | 12 | 0 | 0 | 0 | 2 | 2.00 | 2nd term |
AA Code | Teaching Activity (AA) | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term | Weighting |
---|---|---|---|---|---|---|---|---|
I-META-023 | Process Modeling | 12 | 12 | 0 | 0 | 0 | Q2 | 100.00% |
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 mathematical 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
Basics of data analysis; Introduction to design of experiments; Physical and analytical modeling methods (including ab initio methods); Numérical modeling methods: finite elements and finite differences, Monte-Carlo methods, neural networks.
Prior Experience
Not applicable
Type of Teaching Activity/Activities
AA | Type of Teaching Activity/Activities |
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I-META-023 |
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Mode of delivery
AA | Mode of delivery |
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I-META-023 |
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Required Learning Resources/Tools
AA | Required Learning Resources/Tools |
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I-META-023 | Not applicable |
Recommended Learning Resources/Tools
AA | Recommended Learning Resources/Tools |
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I-META-023 | copies of presentations. |
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 Modélisation numérique en science et genie des matériaux (traité des matériaux , tome 10), M. Rappaz, M. Bellet, M. Deville, presses polytechniques et universitaires romande, Lausanne, 1998. |
Grade Deferrals of AAs from one year to the next
AA | Grade Deferrals of AAs from one year to the next |
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I-META-023 | Authorized |
Term 2 Assessment - type
AA | Type(s) and mode(s) of Q2 assessment |
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I-META-023 |
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Term 2 Assessment - comments
AA | Term 2 Assessment - comments |
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I-META-023 | Evaluation 1 Oral exam ,70% of the grade, 1/2h; 1 Practical reports ,30% of the grade; Comments : Reports: Groupwork: 3 to 4 short group projects that illustrate the vaiours modeling methods from the class. Groups of 3 students (on average). Grading is based on intellectual approach, result and exactness of explanations, as well as on the match between the report and the public it is destined to. Exam: critical discussion of a scientific paper that uses at least one method seen in class. The student receives the paper at least two weeks before the exam. He writes a summary in French (and brings it to the exam), that is used as a basis for discussion. GGrading is as follow: written summary: 30% (content, structure); understanding of methods and phenomena: 50%; critical discussion of results and methods: 20%. |
Term 3 Assessment - type
AA | Type(s) and mode(s) of Q3 assessment |
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I-META-023 |
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Term 3 Assessment - comments
AA | Term 3 Assessment - comments |
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I-META-023 | Evaluation: Oral exam:, 100% of the grade. Comment: the exam is a critical discussion of a scientific paper on a related subject. The paper is sent to the students at least 2 weeks before the exam. The student must write a summary (in French) of the paper that is due during the oral exam. Grading is as follow: written summary: 30% (content, structure); understanding of methods and phenomena: 50%; critical discussion of results and methods: 20%. |