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 Lecture notes |
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Syllabus |
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 Examples and activities (Jupyter Notebook / Python) |
Dépôt Github des fichiers https://github.com/nsaunier/CIV8760/ |
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Data samples |
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| Week 2 (09/03): Data Collection Methods |
PW1 |
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 Video_test |
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Installer un outil pour programmer en Python |
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Ressources pour installer et apprendre Python |
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 Python tutorial |
You can import this file in google colab to see it's content (File > Import Notebook) |
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Geocoding exemple |
You can import this file in google colab to see it's content (File > Import Notebook) |
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| Weeks 4-5 (09/17 and 09/24): Databases |
PW2-slides |
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PractialWork2 |
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| Week 8 (17/10): Spatial Data |
Ressources for spatial data |
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Tutorial sqlite3 |
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Manipulations for SQLite and GeoDa |
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PW3 |
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| Week 9 (29/10 and 5/11): Statistical Review and Analysis |
Corrected Statistical Exercices |
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Ressources pour les analyses statistiques |
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 Linear regression exemple |
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| Week 11 (05/11 and 12/11): Statistical Models |
 Example of ANOVA analysis and linear regression on the Washington bike-sharing system |
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| Week 12 (12/11): Data Visualization |
The Art of Data Visualization (YouTube) |
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| Weeks 13-14 (19-26/11): Data Mining |
Tanagra tutorial |
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Tanagra: interpreting values (in french) |
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| Resources |
Programing resources (PolyWikiIT) |
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Data science resources (PolyWikiIT) |
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Civil engineering paper writing guide (in French) (available printed at Coopoly) |
Guide de rédaction pour ingénieur civil: une version imprimée est disponible à Coopoly |
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 Word template |
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Latex template |
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Summary table for statistical tests |
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 Tables for distributions (Chi2, normal, Student) |
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Link toward the values for usual statistical distributions: normal, Student, Chi2 |
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Past Midterm exams (english) |
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Final exams |
Examens finaux originaux, fichiers de données et questions corrigées
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Partially corrected exercises |
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Midterm 2023 - solution |
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Data mining |
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2021 Midterm exam correction |
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R Tutorial |
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References for spatial analysis methods |
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3 Normal Forms Exercice |
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