Final tutor list

_freeze/index/execute-results/html.json

@@ -1,8 +1,8 @@
 {
-  "hash": "f4030b4feb1e1f2da6ce63e07be1873b",
+  "hash": "d73da037ae05c67a06dfc2b5e489dc53",
   "result": {
     "engine": "knitr",
-    "markdown": "---\ntitle: \"ETC3550/5550 Applied forecasting\"\n---\n\n\n\n\n## Lecturer/Chief Examiner\n\n* [**Rob J Hyndman**](https://robjhyndman.com). Email: [[email protected]](mailto:[email protected])\n\n## Tutors\n\n* [**Mitchell O'Hara-Wild**](https://mitchelloharawild.com). Email: [[email protected]](mailto:[email protected])\n* Elena Sanina\n* Xiaoqian Wang\n* Zhixiang (Elvis) Yang\n\n## Consultations\n\n* Rob\n* Mitch\n* Elena\n* Elvis\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## Lecturer/Chief Examiner\n\n* [**Rob J Hyndman**](https://robjhyndman.com). Email: [[email protected]](mailto:[email protected])\n\n## Tutors\n\n* [**Mitchell O'Hara-Wild**](https://mitchelloharawild.com). Email: [[email protected]](mailto:[email protected])\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",
     "supporting": [],
     "filters": [
       "rmarkdown/pagebreak.lua"

index.qmd

@@ -23,15 +23,18 @@ week <- as.integer(1 + ((Sys.Date() - as_date(start_semester))/7))
 
 * [**Mitchell O'Hara-Wild**](https://mitchelloharawild.com). Email: [[email protected]](mailto:[email protected])
 * Elena Sanina
-* Xiaoqian Wang
 * Zhixiang (Elvis) Yang
+* Jarryd Chapman
+* Xiefei (Sapphire) Li
+* Xiaoqian Wang
 
 ## Consultations
 
-* Rob
 * Mitch
 * Elena
 * Elvis
+* Jarryd
+* Sapphire
 * Xiaoqian
 
 ## Weekly schedule

week1/slides.qmd

@@ -28,16 +28,16 @@ source(here::here("course_info.R"))
 \href{mailto:[email protected]}{\faicon{envelope}  [email protected]}
 
 \href{https://robjhyndman.com}{\faicon{home} robjhyndman.com}
-
-\href{https://twitter.com/robjhyndman}{\faicon{twitter} @robjhyndman}
 \end{alertblock}
 
 \begin{block}{Tutors}
 \begin{itemize}\itemsep=0cm\parskip=0cm
 \item \textbf{Mitchell O'Hara-Wild}
 \item Elena Sanina
-\item Xiaoqian Wang
 \item Zhixiang (Elvis) Yang
+\item Jarryd Chapman
+\item Xiefei (Sapphire) Li
+\item Xiaoqian Wang
 \end{itemize}
 \end{block}
 
@@ -382,4 +382,3 @@ tribble(
 #| output: asis
 show_activity(1, title = FALSE)
 ```
-