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"markdown": "---\ntitle: \"ETC3550/5550 Applied forecasting\"\n---\n\n\n\n\n## Teaching team\n### Lecturer/Chief Examiner\n\n\n:::: {.columns}\n\n::: {.column width=\"25%\"}\n\n{style=\"width: 80%; border-radius: 50%;\"}\n:::\n\n::: {.column width=\"75%\"}\n\n[**Rob J Hyndman**](https://robjhyndman.com)\n\nEmail: [[email protected]](mailto:[email protected])\n\n:::\n\n::::\n\n### Head Tutor\n\n:::: {.columns}\n\n::: {.column width=\"25%\"}\n\n{style=\"width: 80%;border-radius: 50%;\"}\n:::\n\n::: {.column width=\"75%\"}\n\n[**Mitchell O'Hara-Wild**](https://mitchelloharawild.com)\n\nEmail: [[email protected]](mailto:[email protected])\n\n:::\n\n::::\n\n### Other tutors\n\n* Elena Sanina\n* Zhixiang (Elvis) Yang\n* Jarryd Chapman\n* Xiefei (Sapphire) Li\n* Xiaoqian Wang\n\n### Consultations\n\n* Mitch\n* Elena\n* Elvis\n* Jarryd\n* Sapphire\n* Xiaoqian\n\n## Weekly schedule\n\n* Pre-recorded videos: approximately 1 hour per week [[Slides](https://github.com/robjhyndman/fpp3_slides)]\n* Tutorials: 1.5 hours in class per week\n* Seminars: 9am Fridays, [Central 1 Lecture Theatre, 25 Exhibition Walk](https://maps.app.goo.gl/RKdmJq2tBfw8ViNT9).\n\n\n\n\n|Week |Topic |Chapter |Assessments |\n|:------|:-----------------------------------|:--------------------------------|:--------------|\n|26 Feb |[Introduction to forecasting and R](./week1/index.html)|[1. Getting started](https://OTexts.com/fpp3/intro.html)| |\n|04 Mar |[Time series graphics](./week2/index.html)|[2. Time series graphics](https://OTexts.com/fpp3/graphics.html)|[Assignment 1](assignments/A1.qmd)|\n|11 Mar |[Time series decomposition](./week3/index.html)|[3. Time series decomposition](https://OTexts.com/fpp3/decomposition.html)| |\n|18 Mar |[The forecaster's toolbox](./week4/index.html)|[5. The forecaster's toolbox](https://OTexts.com/fpp3/toolbox.html)|[Assignment 2](assignments/A2.qmd)|\n|25 Mar |[Exponential smoothing](./week5/index.html)|[8. Exponential smoothing](https://OTexts.com/fpp3/expsmooth.html)| |\n|01 Apr |Mid-semester break | | |\n|08 Apr |[Exponential smoothing](./week6/index.html)|[8. Exponential smoothing](https://OTexts.com/fpp3/expsmooth.html)|[Assignment 3](assignments/A3.qmd)|\n|15 Apr |[ARIMA models](./week7/index.html) |[9. ARIMA models](https://OTexts.com/fpp3/arima.html)| |\n|22 Apr |[ARIMA models](./week8/index.html) |[9. ARIMA models](https://OTexts.com/fpp3/arima.html)| |\n|29 Apr |[ARIMA models](./week9/index.html) |[9. ARIMA models](https://OTexts.com/fpp3/arima.html)|[Assignment 4](assignments/A4.qmd)|\n|06 May |[Multiple regression and forecasting](./week10/index.html)|[7. Time series regression models](https://OTexts.com/fpp3/regression.html)| |\n|13 May |[Dynamic regression](./week11/index.html)|[10. Dynamic regression models](https://OTexts.com/fpp3/dynamic.html)| |\n|20 May |[Dynamic regression](./week12/index.html)|[10. Dynamic regression models](https://OTexts.com/fpp3/dynamic.html)|[Retail Project](assignments/Project.qmd)|\n\n\n## Assessments\n\n* [Assignment 1](assignments/A1.qmd): 2%\n* [Assignment 2](assignments/A2.qmd): 6%\n* [Assignment 3](assignments/A3.qmd): 6%\n* [Assignment 4](assignments/A4.qmd): 6%\n* [Retail project](assignments/Project.qmd): 20%\n* Final exam: 60%\n\n## R package installation\n\nHere is the code to install the R packages we will be using in this unit.\n\n```r\ninstall.packages(c(\"tidyverse\",\"fpp3\", \"GGally\"), dependencies = TRUE)\n```\n", | ||
"markdown": "---\ntitle: \"ETC3550/5550 Applied forecasting\"\n---\n\n\n\n\n## Teaching team\n### Lecturer/Chief Examiner\n\n\n:::: {.columns}\n\n::: {.column width=\"25%\"}\n\n{style=\"width: 80%; border-radius: 50%;\"}\n:::\n\n::: {.column width=\"75%\"}\n\n[**Rob J Hyndman**](https://robjhyndman.com)\n\nEmail: [[email protected]](mailto:[email protected])\n\n:::\n\n::::\n\n### Head Tutor\n\n:::: {.columns}\n\n::: {.column width=\"25%\"}\n\n{style=\"width: 80%;border-radius: 50%;\"}\n:::\n\n::: {.column width=\"75%\"}\n\n[**Mitchell O'Hara-Wild**](https://mitchelloharawild.com)\n\nEmail: [[email protected]](mailto:[email protected])\n\n:::\n\n::::\n\n### Tutors\n\n* Elena Sanina\n* Zhixiang (Elvis) Yang\n* Jarryd Chapman\n* Xiefei (Sapphire) Li\n* Xiaoqian Wang\n\n### Consultations\n\n* Mitch\n* Elena\n* Elvis\n* Jarryd\n* Sapphire\n* Xiaoqian\n\n## Weekly schedule\n\n* [Pre-recorded videos](https://www.youtube.com/watch?v=uwKiT1o1TkI&list=PLyCNZ_xXGzpm7W9jLqbIyBAiSO5jDwJeE): approximately 1 hour per week [[Slides](https://github.com/robjhyndman/fpp3_slides)]\n* Tutorials: 1.5 hours in class per week\n* Seminars: 9am Fridays, [Central 1 Lecture Theatre, 25 Exhibition Walk](https://maps.app.goo.gl/RKdmJq2tBfw8ViNT9).\n\n\n\n\n|Week |Topic |Chapter |Assessments |\n|:------|:-----------------------------------|:--------------------------------|:--------------|\n|26 Feb |[Introduction to forecasting and R](./week1/index.html)|[1. Getting started](https://OTexts.com/fpp3/intro.html)| |\n|04 Mar |[Time series graphics](./week2/index.html)|[2. Time series graphics](https://OTexts.com/fpp3/graphics.html)|[Assignment 1](assignments/A1.qmd)|\n|11 Mar |[Time series decomposition](./week3/index.html)|[3. Time series decomposition](https://OTexts.com/fpp3/decomposition.html)| |\n|18 Mar |[The forecaster's toolbox](./week4/index.html)|[5. The forecaster's toolbox](https://OTexts.com/fpp3/toolbox.html)|[Assignment 2](assignments/A2.qmd)|\n|25 Mar |[Exponential smoothing](./week5/index.html)|[8. Exponential smoothing](https://OTexts.com/fpp3/expsmooth.html)| |\n|01 Apr |Mid-semester break | | |\n|08 Apr |[Exponential smoothing](./week6/index.html)|[8. Exponential smoothing](https://OTexts.com/fpp3/expsmooth.html)|[Assignment 3](assignments/A3.qmd)|\n|15 Apr |[ARIMA models](./week7/index.html) |[9. ARIMA models](https://OTexts.com/fpp3/arima.html)| |\n|22 Apr |[ARIMA models](./week8/index.html) |[9. ARIMA models](https://OTexts.com/fpp3/arima.html)| |\n|29 Apr |[ARIMA models](./week9/index.html) |[9. ARIMA models](https://OTexts.com/fpp3/arima.html)|[Assignment 4](assignments/A4.qmd)|\n|06 May |[Multiple regression and forecasting](./week10/index.html)|[7. Time series regression models](https://OTexts.com/fpp3/regression.html)| |\n|13 May |[Dynamic regression](./week11/index.html)|[10. Dynamic regression models](https://OTexts.com/fpp3/dynamic.html)| |\n|20 May |[Dynamic regression](./week12/index.html)|[10. Dynamic regression models](https://OTexts.com/fpp3/dynamic.html)|[Retail Project](assignments/Project.qmd)|\n\n\n## Assessments\n\n* [Assignment 1](assignments/A1.qmd): 2%\n* [Assignment 2](assignments/A2.qmd): 6%\n* [Assignment 3](assignments/A3.qmd): 6%\n* [Assignment 4](assignments/A4.qmd): 6%\n* [Retail project](assignments/Project.qmd): 20%\n* Final exam: 60%\n\n## R package installation\n\nHere is the code to install the R packages we will be using in this unit.\n\n```r\ninstall.packages(c(\"tidyverse\",\"fpp3\", \"GGally\"), dependencies = TRUE)\n```\n", | ||
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