fixes to schedule etc.

_site/assignments/HW1.qmd

@@ -11,7 +11,7 @@ editor: visual
 library(tidyverse)
 ```
 
-**This homework is due on Jan. 23, 2024 at 11:00pm. Please submit as a pdf file on Canvas.**
+**This homework is due on Jan. 23, 2025 at 11:00pm. Please submit as a pdf file on Canvas.**
 
 **Problem 1: (8 pts)** Demonstrate basic command of Quarto document editing by creating a bulleted list with three items, a numbered list with three items, and a sentence that has one word in bold and one word in italics.
 

_site/assignments/intro_to_Quarto.qmd

@@ -39,3 +39,7 @@ Now you try it. If you know some ggplot, modify the above plot. For example, plo
 ```{r}
 # Your R code goes here
 ```
+
+## 3. Rendering to pdf
+
+When you have made your changes, render the entire document to pdf. Then make sure you know where the pdf file is located. If you are using the edupod computer, export the pdf file so you have it on your local computer. You will need to know how to do this in future assignments, when you are expected to upload the final pdf file you have created.

_site/schedule.html

@@ -183,9 +183,24 @@ <h2 id="toc-title">On this page</h2>
   <li><a href="#lectures" id="toc-lectures" class="nav-link active" data-scroll-target="#lectures">Lectures</a>
   <ul class="collapse">
   <li><a href="#jan-14-2025introduction" id="toc-jan-14-2025introduction" class="nav-link" data-scroll-target="#jan-14-2025introduction">1. Jan 14, 2025—Introduction</a></li>
+  <li><a href="#jan-16-2024aesthetic-mappings" id="toc-jan-16-2024aesthetic-mappings" class="nav-link" data-scroll-target="#jan-16-2024aesthetic-mappings">2. Jan 16, 2024—Aesthetic mappings</a></li>
+  </ul></li>
+  <li><a href="#homeworks" id="toc-homeworks" class="nav-link" data-scroll-target="#homeworks">Homeworks</a>
+  <ul class="collapse">
+  <li><a href="#homework-1-due-jan-23-2025" id="toc-homework-1-due-jan-23-2025" class="nav-link" data-scroll-target="#homework-1-due-jan-23-2025">Homework 1 (due Jan 23, 2025)</a></li>
+  <li><a href="#homework-2-due-jan-30-2025" id="toc-homework-2-due-jan-30-2025" class="nav-link" data-scroll-target="#homework-2-due-jan-30-2025">Homework 2 (due Jan 30, 2025)</a></li>
+  <li><a href="#homework-3-due-feb-6-2025" id="toc-homework-3-due-feb-6-2025" class="nav-link" data-scroll-target="#homework-3-due-feb-6-2025">Homework 3 (due Feb 6, 2025)</a></li>
+  <li><a href="#homework-4-due-feb-27-2025" id="toc-homework-4-due-feb-27-2025" class="nav-link" data-scroll-target="#homework-4-due-feb-27-2025">Homework 4 (due Feb 27, 2025)</a></li>
+  <li><a href="#homework-5-due-mar-6-2025" id="toc-homework-5-due-mar-6-2025" class="nav-link" data-scroll-target="#homework-5-due-mar-6-2025">Homework 5 (due Mar 6, 2025)</a></li>
+  <li><a href="#homework-6-due-apr-3-2025" id="toc-homework-6-due-apr-3-2025" class="nav-link" data-scroll-target="#homework-6-due-apr-3-2025">Homework 6 (due Apr 3, 2025)</a></li>
+  <li><a href="#homework-7-due-apr-10-2025" id="toc-homework-7-due-apr-10-2025" class="nav-link" data-scroll-target="#homework-7-due-apr-10-2025">Homework 7 (due Apr 10, 2025)</a></li>
+  </ul></li>
+  <li><a href="#projects" id="toc-projects" class="nav-link" data-scroll-target="#projects">Projects</a>
+  <ul class="collapse">
+  <li><a href="#project-1-due-feb-13-2025" id="toc-project-1-due-feb-13-2025" class="nav-link" data-scroll-target="#project-1-due-feb-13-2025">Project 1 (due Feb 13, 2025)</a></li>
+  <li><a href="#project-2-due-mar-13-2025" id="toc-project-2-due-mar-13-2025" class="nav-link" data-scroll-target="#project-2-due-mar-13-2025">Project 2 (due Mar 13, 2025)</a></li>
+  <li><a href="#project-3-due-apr-26-2025" id="toc-project-3-due-apr-26-2025" class="nav-link" data-scroll-target="#project-3-due-apr-26-2025">Project 3 (due Apr 26, 2025)</a></li>
   </ul></li>
-  <li><a href="#homeworks" id="toc-homeworks" class="nav-link" data-scroll-target="#homeworks">Homeworks</a></li>
-  <li><a href="#projects" id="toc-projects" class="nav-link" data-scroll-target="#projects">Projects</a></li>
   </ul>
 </nav>
     </div>
@@ -215,17 +230,73 @@ <h1 class="title">SDS 366 Schedule Spring 2025</h1>
 <h2 class="anchored" data-anchor-id="lectures">Lectures</h2>
 <section id="jan-14-2025introduction" class="level3">
 <h3 class="anchored" data-anchor-id="jan-14-2025introduction">1. Jan 14, 2025—Introduction</h3>
+<p class="nospace">
+Materials:
+</p>
+<ul>
+<li><a href="./slides/introduction.html">Slides</a><br>
+</li>
+<li><a href="assignments/intro_to_Quarto.qmd">Worksheet</a></li>
+</ul>
+</section>
+<section id="jan-16-2024aesthetic-mappings" class="level3">
+<h3 class="anchored" data-anchor-id="jan-16-2024aesthetic-mappings">2. Jan 16, 2024—Aesthetic mappings</h3>
+<p class="nospace">
+Materials:
+</p>
+<ul>
+<li><a href="./slides/aesthetic-mappings.html">Slides</a><br>
+</li>
+<li><a href="./worksheets/aesthetic-mappings.html">Worksheet</a></li>
+</ul>
 </section>
 </section>
 <section id="homeworks" class="level2">
 <h2 class="anchored" data-anchor-id="homeworks">Homeworks</h2>
 <p>All homeworks are due by 11:00pm on the day they are due. Homeworks need to be submitted as pdf files on Canvas.</p>
+<section id="homework-1-due-jan-23-2025" class="level3">
+<h3 class="anchored" data-anchor-id="homework-1-due-jan-23-2025">Homework 1 (due Jan 23, 2025)</h3>
+<p class="nospace">
+Materials:
+</p>
+<ul>
+<li><a href="assignments/HW1.qmd">Quarto template</a></li>
+<li><a href="assignments/HW1.pdf">PDF</a></li>
+</ul>
+</section>
+<section id="homework-2-due-jan-30-2025" class="level3">
+<h3 class="anchored" data-anchor-id="homework-2-due-jan-30-2025">Homework 2 (due Jan 30, 2025)</h3>
+</section>
+<section id="homework-3-due-feb-6-2025" class="level3">
+<h3 class="anchored" data-anchor-id="homework-3-due-feb-6-2025">Homework 3 (due Feb 6, 2025)</h3>
+</section>
+<section id="homework-4-due-feb-27-2025" class="level3">
+<h3 class="anchored" data-anchor-id="homework-4-due-feb-27-2025">Homework 4 (due Feb 27, 2025)</h3>
+</section>
+<section id="homework-5-due-mar-6-2025" class="level3">
+<h3 class="anchored" data-anchor-id="homework-5-due-mar-6-2025">Homework 5 (due Mar 6, 2025)</h3>
+</section>
+<section id="homework-6-due-apr-3-2025" class="level3">
+<h3 class="anchored" data-anchor-id="homework-6-due-apr-3-2025">Homework 6 (due Apr 3, 2025)</h3>
+</section>
+<section id="homework-7-due-apr-10-2025" class="level3">
+<h3 class="anchored" data-anchor-id="homework-7-due-apr-10-2025">Homework 7 (due Apr 10, 2025)</h3>
+</section>
 </section>
 <section id="projects" class="level2">
 <h2 class="anchored" data-anchor-id="projects">Projects</h2>
 <p>All projects are due by 11:00pm on the day they are due. Projects need to be submitted on Canvas. Please carefully read the submission instructions for each project.</p>
+<section id="project-1-due-feb-13-2025" class="level3">
+<h3 class="anchored" data-anchor-id="project-1-due-feb-13-2025">Project 1 (due Feb 13, 2025)</h3>
+</section>
+<section id="project-2-due-mar-13-2025" class="level3">
+<h3 class="anchored" data-anchor-id="project-2-due-mar-13-2025">Project 2 (due Mar 13, 2025)</h3>
+</section>
+<section id="project-3-due-apr-26-2025" class="level3">
+<h3 class="anchored" data-anchor-id="project-3-due-apr-26-2025">Project 3 (due Apr 26, 2025)</h3>
 
 
+</section>
 </section>
 
 </main> <!-- /main -->

_site/search.json

@@ -825,19 +825,33 @@
     "section": "Computing requirements",
     "text": "Computing requirements\nFor students enrolled in this course, you only need a working web browser to access the edupod server, located at: https://edupod.cns.utexas.edu/\nIf you are using the edupod server, stop reading here. Everything is pre-installed and no further action is needed.\nTo run any of the materials locally on your own machine, you will need the following:\n\nA recent version of R, download from here.\nA recent version of RStudio, download from here, OR a recent version of Positron, download from here.\nThe following R packages:\nbroom, cluster, colorspace, cowplot, distill, gapminder, GGally, gganimate, ggiraph, ggdendro, ggdist, ggforce, ggplot2movies, ggrepel, ggridges, ggthemes, gifski, glue, knitr, learnr, naniar, margins, MASS, Matrix, nycflights13, palmerpenguins, patchwork, rmarkdown, rnaturalearth, rnaturalearthhires, scales, sf, shinyjs, sp, tidyverse, transformr, umap, xaringan\n\nYou can install all required R packages at once by running the following code in the R command line:\n# first run this command:\ninstall.packages(\n  c(\n    \"broom\", \"cluster\", \"colorspace\", \"cowplot\", \"distill\", \"gapminder\", \n    \"GGally\", \"gganimate\", \"ggiraph\", \"ggdendro\", \"ggdist\", \"ggforce\",\n    \"ggplot2movies\", \"ggrepel\", \"ggridges\", \"ggthemes\", \"gifski\", \"glue\",\n    \"knitr\", \"learnr\", \"naniar\", \"margins\", \"MASS\", \"Matrix\",\n    \"nycflights13\", \"palmerpenguins\", \"patchwork\", \"rmarkdown\", \"rnaturalearth\",\n    \"scales\", \"sf\", \"shinyjs\", \"sp\", \"tidyverse\", \"transformr\", \"umap\",\n    \"xaringan\"\n  )\n)\n\n# then run this command:\ninstall.packages(\n  \"rnaturalearthhires\", repos = \"https://packages.ropensci.org\", type = \"source\"\n)"
   },
+  {
+    "objectID": "schedule.html",
+    "href": "schedule.html",
+    "title": "SDS 366 Schedule Spring 2025",
+    "section": "",
+    "text": "Materials:\n\n\nSlides\n\nWorksheet\n\n\n\n\n\nMaterials:\n\n\nSlides\n\nWorksheet"
+  },
+  {
+    "objectID": "schedule.html#lectures",
+    "href": "schedule.html#lectures",
+    "title": "SDS 366 Schedule Spring 2025",
+    "section": "",
+    "text": "Materials:\n\n\nSlides\n\nWorksheet\n\n\n\n\n\nMaterials:\n\n\nSlides\n\nWorksheet"
+  },
   {
     "objectID": "schedule.html#homeworks",
     "href": "schedule.html#homeworks",
     "title": "SDS 366 Schedule Spring 2025",
     "section": "Homeworks",
-    "text": "Homeworks\nAll homeworks are due by 11:00pm on the day they are due. Homeworks need to be submitted as pdf files on Canvas."
+    "text": "Homeworks\nAll homeworks are due by 11:00pm on the day they are due. Homeworks need to be submitted as pdf files on Canvas.\n\nHomework 1 (due Jan 23, 2025)\n\nMaterials:\n\n\nQuarto template\nPDF\n\n\n\nHomework 2 (due Jan 30, 2025)\n\n\nHomework 3 (due Feb 6, 2025)\n\n\nHomework 4 (due Feb 27, 2025)\n\n\nHomework 5 (due Mar 6, 2025)\n\n\nHomework 6 (due Apr 3, 2025)\n\n\nHomework 7 (due Apr 10, 2025)"
   },
   {
     "objectID": "schedule.html#projects",
     "href": "schedule.html#projects",
     "title": "SDS 366 Schedule Spring 2025",
     "section": "Projects",
-    "text": "Projects\nAll projects are due by 11:00pm on the day they are due. Projects need to be submitted on Canvas. Please carefully read the submission instructions for each project."
+    "text": "Projects\nAll projects are due by 11:00pm on the day they are due. Projects need to be submitted on Canvas. Please carefully read the submission instructions for each project.\n\nProject 1 (due Feb 13, 2025)\n\n\nProject 2 (due Mar 13, 2025)\n\n\nProject 3 (due Apr 26, 2025)"
   },
   {
     "objectID": "syllabus.html",
@@ -900,7 +914,7 @@
     "href": "syllabus.html#assignments-and-grading",
     "title": "Syllabus",
     "section": "Assignments and grading",
-    "text": "Assignments and grading\nThe graded components of this class will be homeworks, projects, peer-grading, and participation. Each week either a homework, a project, or a peer-grading is due. Homeworks will be relatively short visualization problems to be solved by the student, usually involving some small amount of programming to achieve a specified goal. They are graded by the TA. Projects are larger and more involved data analysis problems that involve both programming and writing. They are peer-graded by the students. Students will have at least one week to complete each homework and two weeks to complete each project. The submission deadlines for homeworks and projects will be Thursdays at 11pm.\nThere will be seven homeworks and three projects. Both homeworks and projects need to be submitted electronically on Canvas. Homeworks are worth 20 points and projects are worth 100 points. The lowest-scoring homework will be dropped, so that a maximum of 120 points can be obtained from the homeworks.\nProjects are peer-graded, which involves evaluating three projects by other students according to a detailed grading rubric that will be provided. The final grade for each project is the mean of the peer-graded projects. The peer-grading itself will be graded by the TA, who will also oversee and spot-check the assigned peer grades. Experience has shown that peer-grading is often the most instructive component of this class, so don’t take this lightly.\nParticipation is assessed in two ways. First, students will receive 2 points for every lecture they attend. This is tracked via simple quizzes on Canvas. Second, each week students can receive up to 4 points for making substantive contributions to the Canvas online discussion (2 points per contribution). Total participation points are capped at 52 (13 weeks of class times 4 points), so students can compensate for lack of in-person attendance by participating in discussions and vice versa. You do not have to get full points in both in-person attendance and online discussions. No participation is assessed in the first week of class.\n\n\n\nAssignment type\nNumber\nPoints per assignment\nTotal points\n\n\n\n\nHomework\n6 (+1)\n20\n120\n\n\nProject\n3\n100\n300\n\n\nPeer grading\n3\n16\n48\n\n\nParticipation\n26 (+26)\n2\n52\n\n\n\nThus, in summary, each project (+ peer grading) contributes 22% to the final grade, the totality of all homeworks contributes another 23% to the final grade, and participation contributes 10%. There are no traditional exams in this class and there is no final.\nThe class will use +/- grading, and the exact grade boundaries will be determined at the end of the semester. However, the following minimum grades will be guaranteed:\n\n\n\nPoints achieved\nMinimum guaranteed grade\n\n\n\n\n468 (90%)\nA-\n\n\n416 (80%)\nB-\n\n\n364 (70%)\nC-\n\n\n260 (50%)\nD-"
+    "text": "Assignments and grading\nThe graded components of this class will be homeworks, projects, peer-grading, and participation. Each week either a homework, a project, or a peer-grading is due. Homeworks will be relatively short visualization problems to be solved by the student, usually involving some small amount of programming to achieve a specified goal. They are graded by the TA. Projects are larger and more involved data analysis problems that involve both programming and writing. They are peer-graded by the students. Students will have at least one week to complete each homework and two weeks to complete each project. The submission deadlines for homeworks and projects will be Thursdays at 11pm.\nThere will be seven homeworks and three projects. Both homeworks and projects need to be submitted electronically on Canvas. Homeworks are worth 20 points and projects are worth 100 points. The lowest-scoring homework will be dropped, so that a maximum of 120 points can be obtained from the homeworks.\nProjects are peer-graded, which involves evaluating three projects by other students according to a detailed grading rubric that will be provided. The final grade for each project is the mean of the peer-graded projects, subject to oversight and potential grade correction (up or down, as warranted) by the TA. The peer-grading itself will also be graded by the TA. Experience has shown that peer-grading is often the most instructive component of this class, so don’t take this lightly.\nParticipation is assessed in two ways. First, students will receive 2 points for every lecture they attend. This is tracked via simple quizzes on Canvas. Second, each week students can receive up to 4 points for making substantive contributions to the Canvas online discussion (2 points per contribution). Total participation points are capped at 52 (13 weeks of class times 4 points), so students can compensate for lack of in-person attendance by participating in discussions and vice versa. You do not have to get full points in both in-person attendance and online discussions. No participation is assessed in the first week of class.\n\n\n\nAssignment type\nNumber\nPoints per assignment\nTotal points\n\n\n\n\nHomework\n6 (+1)\n20\n120\n\n\nProject\n3\n100\n300\n\n\nPeer grading\n3\n16\n48\n\n\nParticipation\n26 (+26)\n2\n52\n\n\n\nThus, in summary, each project (+ peer grading) contributes 22% to the final grade, the totality of all homeworks contributes another 23% to the final grade, and participation contributes 10%. There are no traditional exams in this class and there is no final.\nThe class will use +/- grading, and the exact grade boundaries will be determined at the end of the semester. However, the following minimum grades will be guaranteed:\n\n\n\nPoints achieved\nMinimum guaranteed grade\n\n\n\n\n468 (90%)\nA-\n\n\n416 (80%)\nB-\n\n\n364 (70%)\nC-\n\n\n260 (50%)\nD-"
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@@ -921,7 +935,7 @@
     "href": "syllabus.html#email-policy",
     "title": "Syllabus",
     "section": "Email policy",
-    "text": "Email policy\nWhen emailing about this course, please put “SDS366” into the subject line. Emails to the instructor or TA should be restricted to organizational issues, such as requests for appointments, questions about course organization, etc. For all other issues, post in the discussions on Canvas, ask a question during open Zoom, or make an appointment for a one-on-one session.\nSpecifically, we will not discuss technical issues related to assignments over email. Technical issues are questions concerning how to approach a particular problem, whether a particular solution is correct, or how to use the statistical software R. These questions should be posted as issues on GitHub. Also, we will not discuss grading-related matters over email. If you have a concern about grading, schedule a one-on-one Zoom meeting."
+    "text": "Email policy\nWhen emailing about this course, please put “SDS366” into the subject line. Emails to the instructor or TA should be restricted to organizational issues, such as requests for appointments, questions about course organization, etc. For all other issues, post in the discussions on Canvas, ask a question during open Zoom, or make an appointment for a one-on-one session.\nSpecifically, we will not discuss technical issues related to assignments over email. Technical issues are questions concerning how to approach a particular problem, whether a particular solution is correct, or how to use the statistical software R. These questions should be posted on the Discussion forums on Canvas. Also, we will not discuss grading-related matters over email. If you have a concern about grading, schedule a one-on-one Zoom meeting."
   },
   {
     "objectID": "syllabus.html#special-accommodations",

_site/styles.css

@@ -1 +1,4 @@
 /* css styles */
+.nospace {
+    margin-bottom: 0;
+}