Update CDS logo/icon, purple scheme

- Update attendance policy on syllabus
CornellDataScience · Aug 18, 2024 · de87dc7 · de87dc7
1 parent 6cbee71
commit de87dc7
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diff --git a/_data/schedules.yml b/_data/schedules.yml
@@ -5,7 +5,7 @@ lectures:
     title: "Lecture 1: Intro"
     contents:
       # - title: "Slides"
-        #  link: "resources/SP24_slides/lec1_slides.pdf"
+        #  link: "resources/FA24_slides/lec1_slides.pdf"
     notes:
       # - title: "Demo"
         #  link: "resources/demos/lec1demo.ipynb"
@@ -19,14 +19,12 @@ lectures:
     title: "Lecture 2: Data Manipulation"
     contents:
         # - title: "Slides"
-          #  link: "resources/SP24_slides/lec2_slides.pdf"
+          #  link: "resources/FA24_slides/lec2_slides.pdf"
     notes:
         # - title: "Demo"
         #    link: "resources/demos/lec2_demo.ipynb"
         #  - title: "Demo (filled)"
         #    link: "resources/demos/lec2_demo_filled.ipynb"
-    #    - title: "VIDEO"
-    #      link: "https://cornell.box.com/s/cuqpbzm66r78yl4wxe7evobln6epxp4c"
     assignments:
         #- title: "A2"
         #   link: "resources/assignments/lec2_release.ipynb"
@@ -39,14 +37,12 @@ lectures:
     title: "Lecture 3: Data Visualization"
     contents:
          #- title: "Slides"
-          #  link: "resources/SP24_slides/lec3_slides.pdf"
+          #  link: "resources/FA24_slides/lec3_slides.pdf"
     notes:
           #- title: "Demo"
             # link: "resources/demos/lec3_demo.ipynb"
         # - title: "Demo (filled)"
         #   link: "resources/FA22_Demos/completed_lec3_demo.ipynb"
-    #    - title: "VIDEO"
-    #      link: "https://cornell.box.com/s/woiipdn66wwpazh7gduuluhyy0oarhv1"
     assignments:
         #- title: "A3"
           # link: "resources/assignments/lec3_release.ipynb"
@@ -62,14 +58,10 @@ lectures:
     title: "Lecture 4: Fundamentals of Machine Learning Pt. I"
     contents:
         #- title: "Slides"
-          # link: "resources/SP24_slides/lec4_slides_SP24.pdf"
+          # link: "resources/FA24_slides/lec4_slides_SP24.pdf"
     notes:
         #- title: "Demo"
           # link: "resources/demos/lec4_demo.ipynb"
-    #   - title: "VIDEO"
-    #     link: "https://cornell.box.com/s/22fea4l4ildlfa6epio6h3vrdayb2rx1"
-    # # #   - title: "NOTE 4: FUND"
-    # # #     link: "https://nbviewer.jupyter.org/github/CornellDataScience/info1998/blob/master/resources/SP20/assignments/release/Lecture_4__ML_Fundamentals.ipynb"
     assignments:
         #- title: "A4"
           # link: "resources/assignments/lec4_release.ipynb"
@@ -82,18 +74,12 @@ lectures:
     title: "Lecture 5: Fundamentals of Machine Learning Pt. II"
     contents:
        #- title: "Slides"
-        #  link: "resources/SP24_slides/lec5_slides.pdf"
+        #  link: "resources/FA24_slides/lec5_slides.pdf"
     notes:
         #- title: "Demo"
         #   link: "resources/demos/lec5demo.ipynb"
         # - title: "Demo (filled)"
         #   link: "resources/demos/lec5Demo_filled.ipynb"
-    #    - title: "VIDEO"
-    #      link: "https://cornell.box.com/s/sugepkpibvyuvl4oub83yvq51tzbc7bq"
-    # # #   - title: "NOTE 5: TUNING"
-    # # #     link: "https://nbviewer.jupyter.org/github/CornellDataScience/info1998/blob/master/resources/SP20/assignments/release/Lecture_5__Assessing_Model_Accuracy.ipynb"
-    # # #   - title: "EXTRA: Validation Set Pitfalls"
-    # # #     link: "https://nbviewer.jupyter.org/github/CornellDataScience/info1998/blob/master/resources/SP20/extra/ValidationSet_Pitfall.ipynb"
     assignments:
       # - title: "A5"
       #    link: "resources/assignments/lec5_release.ipynb"
@@ -103,9 +89,7 @@ lectures:
       #    link: "resources/data/lecture5dataB.csv"
       #  - title: "A5 (solution)"
       #    link: "resources/assignments/solution/lec5_solution.ipynb"
-      # - title: "A5 (R solution)"
-      #   link: "resources/assignments/solution/a5_solution.Rmd"
-
+
   ######################################## Mid-Semester Project Check-In #########################################
   # - date: TBD
   #   title: "Mid Semester Project Check-In"
@@ -117,67 +101,50 @@ lectures:
     title: "Web Scraping Workshop"
     contents:
       #- title: "Slides"
-   #     link: "resources/SP24_slides/(SP24) webscraping_workshop.pdf"
+   #     link: "resources/FA24_slides/(SP24) webscraping_workshop.pdf"
       # - title: "Web Scraping Notebook"
       #   link: "resources/archives/FA21/extras/Web_Scraping_Workshop.ipynb"
     notes:
-      # - title: "Spring 2021 Video"
-      #   link: "https://cornell.box.com/s/4jxororzzs5nvzius1rtrhw0kljiu3co"
   ######################################## Week 6 #########################################
   - date: 2024-10-16
     title: "Lecture 6: Introduction to Classifiers"
     contents:
         #- title: "Slides"
-          # link: "resources/SP24_slides/lec6_slides.pdf"
+          # link: "resources/FA24_slides/lec6_slides.pdf"
     notes:
         #- title: "Demo"
         #   link: "resources/demos/lec6_demo_unfilled.ipynb"
         # - title: "Demo (filled)"
         #   link: "resources/demos/lec6_demo_filled.ipynb"
-    #    - title: "VIDEO"
-    #      link: "https://cornell.box.com/s/oywq0e19rmigjdga00g8qgbio0meo218"
-    # # #   - title: "NOTE 6: CLASS"
-    # # #     link: "https://nbviewer.jupyter.org/github/CornellDataScience/info1998/blob/master/resources/SP20/assignments/release/Lecture_6__Introduction_to_Classification_KNN.ipynb"
     assignments:
         #- title: "A6"
           # link: "resources/assignments/lec6_release.ipynb"
       #   - title: "A6 (data)"
       #     link: "resources/data/lecture6data.csv"
       # #  - title: "A6 (solution)"
       #    link: "resources/assignments/solution/lec6_solution.ipynb"
-      #  - title: "A6 (R solution)"
-      #    link: "resources/assignments/solution/a6_solution.Rmd"
-
   ######################################## Week 7 #########################################
   - date: 2024-10-23
     title: "Lecture 7: Supervised Learning Pt. I"
     contents:
        #- title: "Slides"
-        #  link: "resources/SP24_slides/lec7_slides.pdf"
+        #  link: "resources/FA24_slides/lec7_slides.pdf"
     notes:
        #- title: "Demo"
     #     link: "resources/demos/lec7_demo.ipynb"
-    # #   #   - title: "NOTE 7: CLASS"
-    # #   #     link: "https://nbviewer.jupyter.org/github/CornellDataScience/info1998/blob/master/resources/SP20/assignments/release/Lecture_7__Supervised_Learning_Pt1.ipynb"
-    #    - title: "VIDEO"
-    #      link: "https://cornell.box.com/s/rfv71tm9hxy3pydhgoyjlpvv67xwpg8z"
     assignments:
        #- title: "A7"
       #   link: "resources/assignments/lec7_release.ipynb"
-      #  - title: "A7 (R)"
-      #    link: "resources/assignments/release/a7_release.Rmd"
       # - title: "A7 (data)"
       #   link: "resources/data/lecture7example.csv"
       #  - title: "A7 (solution)"
       #    link: "resources/assignments/solution/lec7_solution.ipynb"
-      #  - title: "A7 (R solution)"
-      #    link: "resources/assignments/solution/a7_solution.Rmd"
   ######################################## Week 8 #########################################
   - date: 2024-10-30
     title: "Lecture 8: Supervised Learning Pt. II"
     contents:
       #- title: "Slides"
-    #    link: "resources/SP24_slides/lec8_slides.pdf"
+    #    link: "resources/FA24_slides/lec8_slides.pdf"
     notes:
       #- title: "Demo"
    #     link: "resources/demos/lec8_demo.ipynb"
@@ -204,17 +171,12 @@ lectures:
     title: "Lecture 9: Unsupervised Learning"
     contents:
       #  - title: "Slides"
-        #  link: "resources/SP24_slides/lec9-slides.pdf"
+        #  link: "resources/FA24_slides/lec9-slides.pdf"
     notes:
       #  - title: "Demo (unfilled)"
       #    link: "resources/demos/lec9_demo_empty.ipynb"
       #  - title: "Demo (filled)"
       #    link: "resources/demos/lec9_demo_filled.ipynb"
-    # # #   - title: "LECTURE 9: UNSUP"
-    # # #     link: "https://nbviewer.jupyter.org/github/CornellDataScience/info1998/blob/master/resources/SP20/assignments/release/Lecture_9_Assignment.ipynb"
-    # # notes:
-    #    - title: "VIDEO"
-    #      link: "https://cornell.box.com/s/bmu6im7h5w75j9y76yop680jp1hwdvw6"
     assignments:
       #  - title: "A9"
       #    link: "resources/assignments/lec9_release.ipynb"
@@ -225,10 +187,8 @@ lectures:
     title: "Lecture 10: Data Science and ML in the World"
     contents:
       # - title: "Slides"
-    #    link: "resources/SP24_slides/lec10-slides.pdf"
-    # notes:
-    #   - title: "VIDEO"
-    #     link: https://cornell.box.com/s/v8jttw8m5f1m8xfez3699cilnrpja51l
+    #    link: "resources/FA24_slides/lec10-slides.pdf"
+    notes:
   ############################ Final Project #######################################
   - date: 2024-11-20
     title: "Final Project Due"

diff --git a/cds-logo.png b/cds-logo.png
diff --git a/css/main.css b/css/main.css
@@ -1,27 +1,47 @@
----
-layout:
----
-
 /* http://getbootstrap.com/components/#navbar-fixed-top */
 body {
   padding-top: 77px;
 }
 
 /* Prevent footer from getting squished at the bottom. */
 footer {
-  padding-top:    4%;
+  padding-top: 4%;
   padding-bottom: 4%;
 }
 
-{% if site.pygments_theme %}
-  {% for theme in site.data.pygments_themes %}
-    {% if site.pygments_theme == theme.name %}
+  {
+  % if site.pygments_theme %
+}
+
+  {
+  % for theme in site.data.pygments_themes %
+}
+
+  {
+  % if site.pygments_theme==theme.name %
+}
+
 pre[class^="highlight"] {
-  background-color: {{ theme.background }};
+  background-color: {
+      {
+      theme.background
+    }
+  }
+
+  ;
+}
+
+  {
+  % endif %
+}
+
+  {
+  % endfor %
+}
+
+  {
+  % endif %
 }
-    {% endif %}
-  {% endfor %}
-{% endif %}
 
 /* http://stackoverflow.com/a/22949489/3814202 */
 .carousel-control {
@@ -31,8 +51,8 @@ pre[class^="highlight"] {
 }
 
 /* http://stackoverflow.com/a/15660723/3814202 */
-.carousel-inner > .item > img {
-    margin: 0 auto !important;
+.carousel-inner>.item>img {
+  margin: 0 auto !important;
 }
 
 /* Text */
@@ -43,6 +63,7 @@ p {
   color: #404040;
   vertical-align: top;
 }
+
 table {
   font-size: medium;
   line-height: 1.6;
@@ -52,16 +73,16 @@ table {
 }
 
 a {
-  color: #407bda;
+  color: #613CB0;
 }
 
 a:hover {
   text-decoration: none;
-  color: #1f4480;
+  color: #554081;
 }
 
 h3 {
-  color: #407bda;
+  color: #613CB0;
   font-weight: normal;
   line-height: 1.5;
   padding-bottom: 0.5rem;
@@ -85,32 +106,25 @@ li {
   font-size: small;
 }
 
-/*
-blockquote {
-  border-left-color: #F9EEB6;
-}
-*/
-
 /* Panel */
 .panel-cds {
-  border-color: #eaeef5;
+  border-color: #f8f5fa;
   border-width: thin;
 }
 
 .panel-heading {
-  background-color: #eaeef5;
+  background-color: #f8f5fa;
 }
 
 .panel-title {
   padding: 0.5rem 0rem;
   font-size: small;
-  color: #1f4480;
+  color: #554081;
 }
 
 /* Table */
 .table-responsive table tr td {
   vertical-align: middle;
-
 }
 
 .table-responsive table tr th {
@@ -119,26 +133,31 @@ blockquote {
 
 /* Misc Components */
 .slide-image {
-  border: 0.1rem solid #ddd; /* Gray border */
-  border-radius: 0.4rem;  /* Rounded border */
-  padding: 0.5rem; /* Some padding */
-  width: 11rem; /* Set a small width */
+  border: 0.1rem solid #ddd;
+  /* Gray border */
+  border-radius: 0.4rem;
+  /* Rounded border */
+  padding: 0.5rem;
+  /* Some padding */
+  width: 11rem;
+  /* Set a small width */
 }
-/* Add a hover effect (blue shadow) */
+
+/* Add a hover effect (purple shadow) */
 .slide-image:hover {
-  box-shadow: 0 0 0.2rem 0.1rem rgba(0, 140, 186, 0.5);
+  box-shadow: 0 0 0.2rem 0.1rem rgba(97, 60, 176, 0.5);
 }
 
 .btn-cds {
-  border-color: #407bda;
+  border-color: #613CB0;
   border-width: 10;
   /*width: 60%;*/
   margin: 0.2rem;
 }
 
 .btn-cds:hover {
-  color: #1f4480;
-  border-color: #1f4480;
+  color: #554081;
+  border-color: #554081;
 }
 
 .navbar-logo {
@@ -148,6 +167,6 @@ blockquote {
 }
 
 .jumbotron {
-  background-color: #f2f7ff;
+  background-color: #f8f5fa;
   font-family: Arial, Helvetica, sans-serif;
-}
+}
diff --git a/favicon.ico b/favicon.ico