| Course label : | Modeling and scientific calculations |
|---|---|
| Teaching departement : | CMA / |
| Teaching manager : | Mister LUDOVIC THUINET |
| Education language : | |
| Potential ects : | 0 |
| Results grid : | |
| Code and label (hp) : | ENSCL_CI_M5_4_6 - Modélisation, calc. scient. |
Education team
Teachers : Mister LUDOVIC THUINET / Madam ANNE-SOPHIE MAMEDE / Madam CHARLOTTE BECQUART
External contributors (business, research, secondary education): various temporary teachers
Summary
In this course, students must numerically solve concrete problems borrowed from the fields of thermodynamics (construction of phase equilibrium diagrams) and chemical kinetics using Excel and Python. The use of these tools in this course is intended to enable students to improve their mastery of them.
Educational goals
At the end of this course, the student must be able to implement a rigorous working method to model and simulate a chemical phenomenon and including the following steps: 1/ Understand the underlying theory of the problem, equate it by specifying the hypotheses made to establish the equations used (modeling stage) 2/ Establish a calculation algorithm to solve these equations 3/ Write a program in Python or a spreadsheet in Excel to simulate the phenomenon
Sustainable development goals
Knowledge control procedures
Continuous Assessment
Comments: Final written exam (duration: 1h45)
Online resources
Statement presenting the problem to be solved with possibly a reminder of the theory associated with it
Pedagogy
This course takes place only in the form of tutorials on a computer station with the implementation of a quiz.
Sequencing / learning methods
| Number of hours - Lectures : | 0 |
|---|---|
| Number of hours - Tutorial : | 12 |
| Number of hours - Practical work : | 0 |
| Number of hours - Seminar : | 0 |
| Number of hours - Half-group seminar : | 0 |
| Number of student hours in TEA (Autonomous learning) : | 0 |
| Number of student hours in TNE (Non-supervised activities) : | 0 |
| Number of hours in CB (Fixed exams) : | 0 |
| Number of student hours in PER (Personal work) : | 0 |
| Number of hours - Projects : | 0 |
Prerequisites
Putting into practice the knowledge acquired in the “Python – Excel” course.