{"id":2209,"date":"2017-01-18T11:03:50","date_gmt":"2017-01-18T10:03:50","guid":{"rendered":"http:\/\/www.supagro.fr\/wordpress\/modeleco\/?page_id=2209"},"modified":"2019-05-23T10:32:28","modified_gmt":"2019-05-23T08:32:28","slug":"plan","status":"publish","type":"page","link":"https:\/\/www.supagro.fr\/wordpress\/modelecoen\/complements-utiles\/plan\/","title":{"rendered":"Contents"},"content":{"rendered":"<table>\n<tbody>\n<tr>\n<td><strong>Contents<\/strong><\/td>\n<td>\n<h5><strong>GAMS goals<br \/>\n<\/strong><\/h5>\n<\/td>\n<td width=\"50\">\n<h6><strong>Indicative time of completion<\/strong><\/h6>\n<\/td>\n<\/tr>\n<tr>\n<td colspan=\"3\"><strong><a href=\"https:\/\/www.supagro.fr\/wordpress\/modelecoen\/auto-formation\/sequence1\/\">Sequence 1 : Introduction to mathematical programming using GAMS<\/a> (around 8h<span style=\"color: #000080\">)<\/span><br \/>\n<\/strong><\/td>\n<\/tr>\n<tr>\n<td colspan=\"3\"><strong><a href=\"https:\/\/www.supagro.fr\/wordpress\/modelecoen\/auto-formation\/sequence1\/cours1-optimiser-sous-contraintes\/\">Unit 1.1 : Constrained optimization<\/a><\/strong><\/td>\n<\/tr>\n<tr>\n<td>\n<h6><strong>Lesson 1 : An initial example<\/strong><\/h6>\n<\/td>\n<td>&#8211;<\/td>\n<td>35 min<\/td>\n<\/tr>\n<tr>\n<td>\n<h6><strong>Lesson 2 : Its graphic resolution<\/strong><\/h6>\n<\/td>\n<td>&#8211;<\/td>\n<td>15 min<\/td>\n<\/tr>\n<tr>\n<td>\n<h6><strong>Lesson 3 : One solution, several solutions, no solution ?<\/strong><\/h6>\n<\/td>\n<td>&#8211;<\/td>\n<td>10 min<\/td>\n<\/tr>\n<tr>\n<td colspan=\"3\"><strong><a href=\"https:\/\/www.supagro.fr\/wordpress\/modelecoen\/auto-formation\/sequence1\/cours2-introduction-a-gams\/\">Unit 1. 2 : Discover GAMS<\/a><\/strong><\/td>\n<\/tr>\n<tr>\n<td>\n<h6><strong>Lesson 4 : Writing my first model using GAMS<\/strong><\/h6>\n<\/td>\n<td>Structure of a model<\/td>\n<td>40 min<\/td>\n<\/tr>\n<tr>\n<td>\n<h6><strong>Lesson 5 : Discovering the GAMS interface\u00a0<\/strong><\/h6>\n<\/td>\n<td>&#8211;<\/td>\n<td>15 min<\/td>\n<\/tr>\n<tr>\n<td>\n<h6><strong>Lesson 6 : Analysing the solution<\/strong><\/h6>\n<\/td>\n<td>Understand the file .lst<\/td>\n<td>30 min<\/td>\n<\/tr>\n<tr>\n<td>\n<h6><strong>Lesson 7 : A step further into GAMS<\/strong><\/h6>\n<\/td>\n<td>\n<h6><em>Calculated parameter, DISPLAY, .up, .lo, .l and .m<\/em><\/h6>\n<\/td>\n<td>30 min<\/td>\n<\/tr>\n<tr>\n<td>\n<h6><strong>Lesson 8 : Knowing how to correct an error<\/strong><\/h6>\n<\/td>\n<td>Identify and correct an error<\/td>\n<td>45 min<\/td>\n<\/tr>\n<tr>\n<td>\n<h6><strong>Additional activities<\/strong><\/h6>\n<\/td>\n<td>&#8211;<\/td>\n<td>40 min<\/td>\n<\/tr>\n<tr>\n<td colspan=\"4\"><strong><a href=\"https:\/\/www.supagro.fr\/wordpress\/modelecoen\/auto-formation\/sequence1\/cours3-probleme-primal-probleme-dual\/\">Unit 1.3 : Primal problem, dual problem<\/a><\/strong><\/td>\n<\/tr>\n<tr>\n<td>\n<h6><strong>Lesson 9 : What are dual values ?<\/strong><\/h6>\n<\/td>\n<td>&#8211;<\/td>\n<td>40 min<\/td>\n<\/tr>\n<tr>\n<td>\n<h6><strong>Lesson 10 : Loosening a constraint<\/strong><\/h6>\n<\/td>\n<td>\n<h6>displaying results<\/h6>\n<\/td>\n<td>50 min<\/td>\n<\/tr>\n<tr>\n<td><span style=\"color: #993366\"><a href=\"https:\/\/www.supagro.fr\/wordpress\/modelecoen\/auto-formation\/sequence1\/evaluez-vous-1\/\"><strong>Unit 1.4 : Application exercise<\/strong><\/a><\/span><\/td>\n<td>&#8211;<\/td>\n<td>105 min<\/td>\n<\/tr>\n<tr>\n<td colspan=\"3\"><strong><a href=\"https:\/\/www.supagro.fr\/wordpress\/modelecoen\/auto-formation\/sequence2\/\">Sequence 2 : The farm model<\/a> (around 13h)<br \/>\n<\/strong><\/td>\n<\/tr>\n<tr>\n<td colspan=\"3\"><strong><a href=\"https:\/\/www.supagro.fr\/wordpress\/modelecoen\/auto-formation\/sequence2\/cours1-enrichir-le-modele-de-base\/\">Unit 2.1 : Enriching the base model<\/a><\/strong><\/td>\n<\/tr>\n<tr>\n<td>\n<h6><strong>Lesson 11 : Representing technologies<\/strong><\/h6>\n<\/td>\n<td>\n<h6>Two-dimensional tables and variables<\/h6>\n<\/td>\n<td>115 min<\/td>\n<\/tr>\n<tr>\n<td>\n<h6><strong>Lesson 12 : Constraints per period<\/strong><\/h6>\n<\/td>\n<td>\n<h6>Three-dimensional tables<\/h6>\n<\/td>\n<td>75 min<\/td>\n<\/tr>\n<tr>\n<td>\n<h6><strong>Lesson 13 : Market access and overcoming constraints<\/strong><\/h6>\n<\/td>\n<td>Model status<\/td>\n<td>30 min<\/td>\n<\/tr>\n<tr>\n<td>\n<h6><strong>Lesson 14 : Importing and exporting data and results<\/strong><\/h6>\n<\/td>\n<td>Excel\/GAMS interface<\/td>\n<td>50 min<\/td>\n<\/tr>\n<tr>\n<td colspan=\"4\"><strong><a href=\"https:\/\/www.supagro.fr\/wordpress\/modelecoen\/auto-formation\/sequence2\/cours2-des-specificites-du-modele-agricole\/\">Unit 2.2 : Multi-periodical decisions in an annual model<\/a><\/strong><\/td>\n<\/tr>\n<tr>\n<td><span style=\"color: #333333\"><strong>Lesson 15 : Rotations<\/strong><\/span><\/td>\n<td>Subsets \/ SUBSET<\/td>\n<td>120 min<\/td>\n<\/tr>\n<tr>\n<td>\n<h6><strong>Lesson 16 : Livestock<\/strong><\/h6>\n<\/td>\n<td>&#8211;<\/td>\n<td>90 min<\/td>\n<\/tr>\n<tr>\n<td>\n<h6><strong>Lesson 17 : Cashflow<\/strong><\/h6>\n<\/td>\n<td>\n<h6>Iteration of a SET in a variable (e.g. : cash(M+1) )<\/h6>\n<\/td>\n<td>50 min<\/td>\n<\/tr>\n<tr>\n<td colspan=\"4\"><strong><a href=\"https:\/\/www.supagro.fr\/wordpress\/modelecoen\/auto-formation\/sequence2\/cours3-simuler-une-politique-publique\/\">Unit 2.3 : Simulation of a public policy<\/a><\/strong><\/td>\n<\/tr>\n<tr>\n<td>\n<h6><strong>Lesson 18 : Reminder of public policies<\/strong><\/h6>\n<\/td>\n<td>&#8211;<\/td>\n<td>10 min<\/td>\n<\/tr>\n<tr>\n<td>\n<h6><strong>Lesson 19 : the CAP and agri-environmental measures<\/strong><\/h6>\n<\/td>\n<td><\/td>\n<td>130 min<\/td>\n<\/tr>\n<tr>\n<td>\n<h6><strong>Lesson 20 : the CAP and dairy policies<\/strong><\/h6>\n<\/td>\n<td>Write a condition in the objective function (binary variable)<br \/>\nTesting scenarios (LOOP)<br \/>\nModel type: NLP (MIP and MINLP)<\/td>\n<td>90 min<\/td>\n<\/tr>\n<tr>\n<td colspan=\"3\"><strong><a href=\"https:\/\/www.supagro.fr\/wordpress\/modelecoen\/auto-formation\/sequence3\/\">Sequence 3 : Risk and time factors in models<\/a> (around 8h)<br \/>\n<\/strong><\/td>\n<\/tr>\n<tr>\n<td colspan=\"3\"><strong><a href=\"https:\/\/www.supagro.fr\/wordpress\/modelecoen\/auto-formation\/sequence3\/cours-1-lagriculture-une-activite-risquee\/\">Unit 3.1 : Modelling risk<\/a><\/strong><\/td>\n<\/tr>\n<tr>\n<td>\n<h6><strong>Lesson 21 : Agriculture, a risky activity<\/strong><\/h6>\n<\/td>\n<td>&#8211;<\/td>\n<td>80 min<\/td>\n<\/tr>\n<tr>\n<td>\n<h6><strong>Lesson 22 : Safety-First<\/strong><\/h6>\n<\/td>\n<td>&#8211;<\/td>\n<td>60 min<\/td>\n<\/tr>\n<tr>\n<td>\n<h6><strong>Lesson 23 : Expectation \u2013 Standard deviation <\/strong><\/h6>\n<\/td>\n<td>\n<h6>Model type (NLP, MIP, MINLP) and writing the square and square root (SQR et SQRT)<\/h6>\n<\/td>\n<td>70 min<\/td>\n<\/tr>\n<tr>\n<td>\n<h6><strong>Lesson 24 : Chance Constrained Model and Target-MOTAD<\/strong><\/h6>\n<\/td>\n<td>&#8211;<\/td>\n<td>70 min<\/td>\n<\/tr>\n<tr>\n<td>\n<h6><strong>Lesson 25 : Reminder of the expected utility function<\/strong><\/h6>\n<\/td>\n<td>&#8211;<\/td>\n<td>\u00a020 min<\/td>\n<\/tr>\n<tr>\n<td>\n<h6><strong>Lesson 26 : Maximizing a utility function<\/strong><\/h6>\n<\/td>\n<td>Exponent (**)<\/td>\n<td>60 min<\/td>\n<\/tr>\n<tr>\n<td colspan=\"3\"><strong><a href=\"https:\/\/www.supagro.fr\/wordpress\/modelecoen\/auto-formation\/sequence3\/cours-3-2-les-modeles-dynamiques\/\">Unit 3.2 : Modelling time<\/a><\/strong><\/td>\n<\/tr>\n<tr>\n<td>\n<h6><strong>Lesson 27 : Dynamic models<\/strong><\/h6>\n<\/td>\n<td>&#8211;<\/td>\n<td>10 min<\/td>\n<\/tr>\n<tr>\n<td>\n<h6><strong>Lesson 28 : Recursive models<\/strong><\/h6>\n<\/td>\n<td>3-dimensional parameter<\/td>\n<td>90 min<\/td>\n<\/tr>\n<tr>\n<td>\n<h6><strong>Lesson 29 : Multi-period models<\/strong><\/h6>\n<\/td>\n<td>Cardinal of an element of a set and ordinal of a set$ condition<\/td>\n<td>30 min<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"text-decoration: underline\">Indicative time of realization includes:<\/span> time of viewing and assimilation of the videos + time of realization of all the proposed exercises and reading of the corrections.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Contents GAMS goals Indicative time of completion Sequence 1 : Introduction to mathematical programming using GAMS (around 8h) Unit 1.1 : Constrained optimization Lesson 1 : An initial example &#8211; 35 min Lesson 2 : Its graphic resolution &#8211; 15 <a class=\"more-link\" href=\"https:\/\/www.supagro.fr\/wordpress\/modelecoen\/complements-utiles\/plan\/\">Continue reading <span class=\"screen-reader-text\">  Contents<\/span><span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":92,"featured_media":0,"parent":1119,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-2209","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.supagro.fr\/wordpress\/modelecoen\/wp-json\/wp\/v2\/pages\/2209","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.supagro.fr\/wordpress\/modelecoen\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.supagro.fr\/wordpress\/modelecoen\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.supagro.fr\/wordpress\/modelecoen\/wp-json\/wp\/v2\/users\/92"}],"replies":[{"embeddable":true,"href":"https:\/\/www.supagro.fr\/wordpress\/modelecoen\/wp-json\/wp\/v2\/comments?post=2209"}],"version-history":[{"count":85,"href":"https:\/\/www.supagro.fr\/wordpress\/modelecoen\/wp-json\/wp\/v2\/pages\/2209\/revisions"}],"predecessor-version":[{"id":4523,"href":"https:\/\/www.supagro.fr\/wordpress\/modelecoen\/wp-json\/wp\/v2\/pages\/2209\/revisions\/4523"}],"up":[{"embeddable":true,"href":"https:\/\/www.supagro.fr\/wordpress\/modelecoen\/wp-json\/wp\/v2\/pages\/1119"}],"wp:attachment":[{"href":"https:\/\/www.supagro.fr\/wordpress\/modelecoen\/wp-json\/wp\/v2\/media?parent=2209"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}