1 STL Tronc commun

Profs de Van der Mersch, May 31, 2022

1 Techno Tronc commun, cours et exercices sur l'intégralité du programme

Table of Contents

  1. A1 partie 1 : Généralités sur les suites.
    1. 1STL A1 Le cours.
    2. 1STL A1 Exercice 1 : Comprendre les indices.
    3. 1STL A1 Exercice 2 : Calculer un terme d'une suite explicite.
    4. 1STL A1 Exercice 3 : Calculer les termes d'une suite par récurrence.
    5. 1STL A1 Exercice 4 : Calculer des termes d'une suite.
    6. 1STL A1 Exercice 5 : Lecture graphique des termes d'une suite.
    7. 1STL A1 Exercice 6 : Déterminer graphiquement les variations d'une suite.
    8. 1 STL A1 Exercice 7 : Etudier les variations d'une suite.
  2. A1 partie 2 : Suites arithmétiques et géométriques
    1. 1STL A1 partie 2 : Cours
    2. 1STL A1partie 2 Exercice 1 : Travail sur les indices.
    3. 1o A1 Exercice 2 : Identifier les paramètres d'une suite arithmétique.
    4. 1o A1 Exercice 4 : Utiliser la formule par récurrence.
    5. 1o A1 Exercice 5 : Utiliser la forme explicite d'une suite arithmétique.
    6. 1STL A1partie 2 Exercice 2 : Donner la forme explicite d'une suite arithmétique.
    7. 1STL A1partie 2 Exercice 3 : Somme des termes d'une suite arithmétique.
    8. 1STL A1partie 2 Exercice 4 : Forme explicite d'une suite géométrique.
    9. 1o A2 Exercice 1 : Identifier les paramètres d'une suite géoémtrique.
    10. 1o A2 Exercice 3 : Calculer avec des suites géométriques.
    11. 1oA2 Exercice 4 : Déterminer les variations et le signe d'une suite géométrique.
    12. 1STL A1partie 2 Exercice 5 : Somme des termes d'une suite géométrique.
    13. 1STL A1partie 2 Exercice 6 : Calcul d'un terme de suite arithmétique ou géométrique.
    14. 1STL A1 partie 2 Exercice 7 : Déterminer la nature et la raison d'une suite.
    15. 1STL A1 partie 2 : Utiliser les suites.
    16. 1o A2 Exercice 5 Calculer un seuil avec une suite géométrique.
    17. 1o A1 Exercice 8 : Recherche de seuil.
    18. DS suites Exercice 2 :
    19. 1o A2 Suites géométriques DM.
  3. A2 : Fonctions et taux de variations.
    1. 1STL A2 : Le cours.
    2. 1SLT A2 Exercice 1 : Lire graphiquement une image.
    3. 1STL A2 Exercice 2 : Résoudre graphiquement une équation.
    4. 1STL A2 Exercice 3 : Résoudre graphiquement une équation.
    5. 2D A3 Exercice 2 : Déterminer graphiquement une équation de droite.
    6. 1STL A2 Exercice 4 : Déterminer une équation de droite par le calcul.
    7. 1STL A2 Exercice 5 : Lire graphiquement un taux de variation.
    8. 1STL A2 Exercice 6 : Calculer un taux de variation.
    9. 1STL A2 Exercice 8 : Auto entrainement, réaliser un tableau de variations.
  4. A3 : Fonctions de références
    1. 1STL A3 Cours fonctions de degré 2 :
    2. 1STL A3 : Exercice 1 racines d'une fonction.
    3. 1STL A3 Exercice 2 : Déterminer les variations d'une fonction de degré 2.
    4. 1STL A3 Exercice 3 : Déterminer le signe d'une fonction de degré 2.
    5. 1STL A3 : Exercice 4 : déterminer la forme factorisée d'une fonction de degré 2.
    6. 1STL A3 Exercice 5 : Double distributivité.
    7. 1STL Fonction degré 2 synthèse.
    8. 1STL A3 Exercice 6 : Déterminer le signe d'une fonction affine.
    9. 1STL A3 Exercice 7 : Déterminer les variations d'une fonction affine.
  5. A4 : Dérivation
    1. 1STL A4 Le cours.
    2. 1STL A4 Exercice 1 : Expression de la dérivée.
    3. 1STL A4 Exercice 2 : Développer des parenthèses
    4. 1STL A4 Exercice 3 : Signe d'une fonction affine.
    5. 1STL A4 Exercice 4 : Déterminer le signe d'un produit 1.
    6. 1STL A4 Exercice 5 : Déterminer le signe d'un produit 2
    7. 1 STL A4 Exercice 6 : Dresser un tableau de variations.
    8. 1STL A4 Exercice 7 : Etudier les variations d'une fonction.
    9. 1STL A4 Exercice 8 : Identifier la fonction dérivée.
    10. 1STL A4 Exercice type étude de fonction.
  6. S1 : Probabilités
    1. 1STL S1 : Le cours.
    2. 2D Probas : Remplir un tableau.
    3. 1STL S1 Exercice 2 : Transformer un tableau d'effectif.
    4. 2D probas : Calculer des probabilités à l'aide d'un tableau.
  7. S2 : Ajustement affine
    1. 1STL S2 Exercice 1 : Déterminer un ajustement affine.
    2. 1STL S2 Exercice 2 : Utiliser un ajustement affine.
    3. 1STL S2 Ajustement affine : DM
  8. S3 : Variable aléatoire
    1. Le cours.
    2. 1 STL S2 Exercice 1 : Compléter une loi de probabilité.
    3. 1 STL S2 Exercice 2 : Utiliser une loi de probabilité.
    4. 1 STL Exercice 3 : Déterminer une espérance de gain.
  9. S4 : Loi binomiale
  10. Liens utiles
    1. Liens utiles :

1.

A1 partie 1 : Généralités sur les suites.

  • 1. 1STL A1 Le cours.
  • 2. 1STL A1 Exercice 1 : Comprendre les indices.
  • 3. 1STL A1 Exercice 2 : Calculer un terme d'une suite explicite.
  • 4. 1STL A1 Exercice 3 : Calculer les termes d'une suite par récurrence.
  • 5. 1STL A1 Exercice 4 : Calculer des termes d'une suite.
  • 6. 1STL A1 Exercice 5 : Lecture graphique des termes d'une suite.
  • 7. 1STL A1 Exercice 6 : Déterminer graphiquement les variations d'une suite.
  • 8. 1 STL A1 Exercice 7 : Etudier les variations d'une suite.

1.1.

1STL A1 Le cours.

A1 part 1 suites cours
– Profs de Van der Mersch

1.2.

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1.3.

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1.4.

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1.5.

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1.6.

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1.7.

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1.8.

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2.

A1 partie 2 : Suites arithmétiques et géométriques

  • 1. 1STL A1 partie 2 : Cours
  • 2. 1STL A1partie 2 Exercice 1 : Travail sur les indices.
  • 3. 1o A1 Exercice 2 : Identifier les paramètres d'une suite arithmétique.
  • 4. 1o A1 Exercice 4 : Utiliser la formule par récurrence.
  • 5. 1o A1 Exercice 5 : Utiliser la forme explicite d'une suite arithmétique.
  • 6. 1STL A1partie 2 Exercice 2 : Donner la forme explicite d'une suite arithmétique.
  • 7. 1STL A1partie 2 Exercice 3 : Somme des termes d'une suite arithmétique.
  • 8. 1STL A1partie 2 Exercice 4 : Forme explicite d'une suite géométrique.
  • 9. 1o A2 Exercice 1 : Identifier les paramètres d'une suite géoémtrique.
  • 10. 1o A2 Exercice 3 : Calculer avec des suites géométriques.
  • 11. 1oA2 Exercice 4 : Déterminer les variations et le signe d'une suite géométrique.
  • 12. 1STL A1partie 2 Exercice 5 : Somme des termes d'une suite géométrique.
  • 13. 1STL A1partie 2 Exercice 6 : Calcul d'un terme de suite arithmétique ou géométrique.
  • 14. 1STL A1 partie 2 Exercice 7 : Déterminer la nature et la raison d'une suite.
  • 15. 1STL A1 partie 2 : Utiliser les suites.
  • 16. 1o A2 Exercice 5 Calculer un seuil avec une suite géométrique.
  • 17. 1o A1 Exercice 8 : Recherche de seuil.
  • 18. DS suites Exercice 2 :
  • 19. 1o A2 Suites géométriques DM.

2.1.

1STL A1 partie 2 : Cours

A1 partie 2 cours
Lien vers le livre :
https://www.libmanuels.fr/demo/9782206103624/0?title=Math%C3%A9matiques%201re%20Tronc%20commun,%20sp%C3%A9cialit%C3%A9%20STI2D/STL%20(2019)&editor=Delagrave&type=classic
– Profs de Van der Mersch

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3.

A2 : Fonctions et taux de variations.

  • 1. 1STL A2 : Le cours.
  • 2. 1SLT A2 Exercice 1 : Lire graphiquement une image.
  • 3. 1STL A2 Exercice 2 : Résoudre graphiquement une équation.
  • 4. 1STL A2 Exercice 3 : Résoudre graphiquement une équation.
  • 5. 2D A3 Exercice 2 : Déterminer graphiquement une équation de droite.
  • 6. 1STL A2 Exercice 4 : Déterminer une équation de droite par le calcul.
  • 7. 1STL A2 Exercice 5 : Lire graphiquement un taux de variation.
  • 8. 1STL A2 Exercice 6 : Calculer un taux de variation.
  • 9. 1STL A2 Exercice 8 : Auto entrainement, réaliser un tableau de variations.

3.1.

1STL A2 : Le cours.

A2 Fonctions et taux de variation cours
Lien vers le livre
https://www.libmanuels.fr/demo/9782206103624/0?title=Math%C3%A9matiques%201re%20Tronc%20commun,%20sp%C3%A9cialit%C3%A9%20STI2D/STL%20(2019)&editor=Delagrave&type=classic
– Profs de Van der Mersch

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4.

A3 : Fonctions de références

  • 1. 1STL A3 Cours fonctions de degré 2 :
  • 2. 1STL A3 : Exercice 1 racines d'une fonction.
  • 3. 1STL A3 Exercice 2 : Déterminer les variations d'une fonction de degré 2.
  • 4. 1STL A3 Exercice 3 : Déterminer le signe d'une fonction de degré 2.
  • 5. 1STL A3 : Exercice 4 : déterminer la forme factorisée d'une fonction de degré 2.
  • 6. 1STL A3 Exercice 5 : Double distributivité.
  • 7. 1STL Fonction degré 2 synthèse.
  • 8. 1STL A3 Exercice 6 : Déterminer le signe d'une fonction affine.
  • 9. 1STL A3 Exercice 7 : Déterminer les variations d'une fonction affine.

4.1.

1STL A3 Cours fonctions de degré 2 :

A3 Fonction degré 2 cours
Lien vers le livre: [br]https://www.libmanuels.fr/demo/9782206103624/0?title=Math%C3%A9matiques%201re%20Tronc%20commun,%20sp%C3%A9cialit%C3%A9%20STI2D/STL%20(2019)&editor=Delagrave&type=classic
– Profs de Van der Mersch

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5.

A4 : Dérivation

  • 1. 1STL A4 Le cours.
  • 2. 1STL A4 Exercice 1 : Expression de la dérivée.
  • 3. 1STL A4 Exercice 2 : Développer des parenthèses
  • 4. 1STL A4 Exercice 3 : Signe d'une fonction affine.
  • 5. 1STL A4 Exercice 4 : Déterminer le signe d'un produit 1.
  • 6. 1STL A4 Exercice 5 : Déterminer le signe d'un produit 2
  • 7. 1 STL A4 Exercice 6 : Dresser un tableau de variations.
  • 8. 1STL A4 Exercice 7 : Etudier les variations d'une fonction.
  • 9. 1STL A4 Exercice 8 : Identifier la fonction dérivée.
  • 10. 1STL A4 Exercice type étude de fonction.

5.1.

1STL A4 Le cours.

A4 Dérivée cours
– Profs de Van der Mersch

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S1 : Probabilités

  • 1. 1STL S1 : Le cours.
  • 2. 2D Probas : Remplir un tableau.
  • 3. 1STL S1 Exercice 2 : Transformer un tableau d'effectif.
  • 4. 2D probas : Calculer des probabilités à l'aide d'un tableau.

6.1.

1STL S1 : Le cours.

S1 cours
Lien vers le livre
https://www.libmanuels.fr/demo/9782206103624/0?title=Math%C3%A9matiques%201re%20Tronc%20commun,%20sp%C3%A9cialit%C3%A9%20STI2D/STL%20(2019)&editor=Delagrave&type=classic
– Profs de Van der Mersch

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S2 : Ajustement affine

  • 1. 1STL S2 Exercice 1 : Déterminer un ajustement affine.
  • 2. 1STL S2 Exercice 2 : Utiliser un ajustement affine.
  • 3. 1STL S2 Ajustement affine : DM

7.1.

1STL S2 Exercice 1 : Déterminer un ajustement affine.

Aide à la manipulation de la calculatrice : Ajustement affine.
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[/img]
– Profs de Van der Mersch

7.2.

–

7.3.

–

8.

S3 : Variable aléatoire

  • 1. Le cours.
  • 2. 1 STL S2 Exercice 1 : Compléter une loi de probabilité.
  • 3. 1 STL S2 Exercice 2 : Utiliser une loi de probabilité.
  • 4. 1 STL Exercice 3 : Déterminer une espérance de gain.

8.1.

Le cours.

S2 cours variables aléatoires
Lien vers le livre
https://www.libmanuels.fr/demo/9782206103624/0?title=Math%C3%A9matiques%201re%20Tronc%20commun,%20sp%C3%A9cialit%C3%A9%20STI2D/STL%20(2019)&editor=Delagrave&type=classic
– Profs de Van der Mersch

8.2.

–

8.3.

–

8.4.

–

9.

S4 : Loi binomiale


    This chapter does not contain any resources yet.

10.

Liens utiles

  • 1. Liens utiles :

10.1.

Liens utiles :

Livre : [br]https://www.libmanuels.fr/demo/9782206103624/specimen/22/?title=Math%C3%A9matiques%201re%20Tronc%20commun,%20sp%C3%A9cialit%C3%A9%20STI2D/STL%20(2019)&editor=Delagrave&type=classic[br][br]Calculatrice numworks :[br]https://www.numworks.com/fr/simulateur/[br][br]Calculatrice TI :[br]https://maclasseti.fr/calculatrice
– Profs de Van der Mersch

Information