| Contents |
GAMS goals
|
Indicative time of completion |
|
| Sequence 1 : Introduction to mathematical programming using GAMS (around 8h) |
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| Unit 1.1 : Constrained optimization | |||
Lesson 1 : An initial example |
– | 35 min | |
Lesson 2 : Its graphic resolution |
– | 15 min | |
Lesson 3 : One solution, several solutions, no solution ? |
– | 10 min | |
| Unit 1. 2 : Discover GAMS | |||
Lesson 4 : Writing my first model using GAMS |
Structure of a model | 40 min | |
Lesson 5 : Discovering the GAMS interface |
– | 15 min | |
Lesson 6 : Analysing the solution |
Understand the file .lst | 30 min | |
Lesson 7 : A step further into GAMS |
Calculated parameter, DISPLAY, .up, .lo, .l and .m |
30 min | |
Lesson 8 : Knowing how to correct an error |
Identify and correct an error | 45 min | |
Additional activities |
– | 40 min | |
| Unit 1.3 : Primal problem, dual problem | |||
Lesson 9 : What are dual values ? |
– | 40 min | |
Lesson 10 : Loosening a constraint |
displaying results |
50 min | |
| Unit 1.4 : Application exercise | – | 105 min | |
| Sequence 2 : The farm model (around 13h) |
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| Unit 2.1 : Enriching the base model | |||
Lesson 11 : Representing technologies |
Two-dimensional tables and variables |
115 min | |
Lesson 12 : Constraints per period |
Three-dimensional tables |
75 min | |
Lesson 13 : Market access and overcoming constraints |
Model status | 30 min | |
Lesson 14 : Importing and exporting data and results |
Excel/GAMS interface | 50 min | |
| Unit 2.2 : Multi-periodical decisions in an annual model | |||
| Lesson 15 : Rotations | Subsets / SUBSET | 120 min | |
Lesson 16 : Livestock |
– | 90 min | |
Lesson 17 : Cashflow |
Iteration of a SET in a variable (e.g. : cash(M+1) ) |
50 min | |
| Unit 2.3 : Simulation of a public policy | |||
Lesson 18 : Reminder of public policies |
– | 10 min | |
Lesson 19 : the CAP and agri-environmental measures |
130 min | ||
Lesson 20 : the CAP and dairy policies |
Write a condition in the objective function (binary variable) Testing scenarios (LOOP) Model type: NLP (MIP and MINLP) |
90 min | |
| Sequence 3 : Risk and time factors in models (around 8h) |
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| Unit 3.1 : Modelling risk | |||
Lesson 21 : Agriculture, a risky activity |
– | 80 min | |
Lesson 22 : Safety-First |
– | 60 min | |
Lesson 23 : Expectation – Standard deviation |
Model type (NLP, MIP, MINLP) and writing the square and square root (SQR et SQRT) |
70 min | |
Lesson 24 : Chance Constrained Model and Target-MOTAD |
– | 70 min | |
Lesson 25 : Reminder of the expected utility function |
– | 20 min | |
Lesson 26 : Maximizing a utility function |
Exponent (**) | 60 min | |
| Unit 3.2 : Modelling time | |||
Lesson 27 : Dynamic models |
– | 10 min | |
Lesson 28 : Recursive models |
3-dimensional parameter | 90 min | |
Lesson 29 : Multi-period models |
Cardinal of an element of a set and ordinal of a set$ condition | 30 min | |
Indicative time of realization includes: time of viewing and assimilation of the videos + time of realization of all the proposed exercises and reading of the corrections.