Update FA24 syllabus

_data/schedules.yml

@@ -105,11 +105,24 @@ lectures:
       #    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"
   #   assignments:
   #     # - title: "Mid-semester Project"
   #     #   link: "resources/FA20/extra/MidSemester_Project.pdf"
+ ######################################## Web Scraping Workshop #########################################
+  - date: TBD
+    title: "Web Scraping Workshop"
+    contents:
+      #- title: "Slides"
+   #     link: "resources/SP24_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"
@@ -135,11 +148,6 @@ lectures:
       #  - title: "A6 (R solution)"
       #    link: "resources/assignments/solution/a6_solution.Rmd"
 
-  # - date:
-  #   title: "Web Scraping Workshop"
-  #   notes:
-  #      - title: "VIDEO"
-  #        link: "https://cornell.box.com/s/4jxororzzs5nvzius1rtrhw0kljiu3co"
   ######################################## Week 7 #########################################
   - date: 2024-10-23
     title: "Lecture 7: Supervised Learning Pt. I"
@@ -164,17 +172,6 @@ lectures:
       #    link: "resources/assignments/solution/lec7_solution.ipynb"
       #  - title: "A7 (R solution)"
       #    link: "resources/assignments/solution/a7_solution.Rmd"
-  ######################################## Web Scraping Workshop #########################################
-  - date: TBD
-    title: "Web Scraping Workshop"
-    contents:
-      #- title: "Slides"
-   #     link: "resources/SP24_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 8 #########################################
   - date: 2024-10-30
     title: "Lecture 8: Supervised Learning Pt. II"
@@ -188,17 +185,20 @@ lectures:
       #    link: "resources/FA22_Demos/Lecture 8 - Demo_filled.ipynb"
     #  - title: "Demo (data)"
      #   link: "resources/data/Social_Network_Ads.csv"
-    # #   #- title: "NOTE 8: CLASS"
-    # #   #  link: "https://nbviewer.jupyter.org/github/CornellDataScience/info1998/blob/master/resources/SP20/assignments/release/Lecture_8_Assignment_Release.ipynb"
-    #    - title: "VIDEO"
-    #      link: "https://cornell.box.com/s/u00el8c2mgxcq1en417em66xo966mxzo"
     assignments:
       #  - title: "A8"
       #    link: "resources/assignments/lec8_release.ipynb"
       #  - title: "A8 (data)"
       #    link: "resources/data/phone.csv"
     #   - title: "A8 (solution)"
     #     link: "resources/assignments/solution/lec8_solution.ipynb"
+
+  ######################################## Deep Learning Workshop #########################################
+  - date: TBD
+    title: "Deep Learning Workshop"
+    notes:
+      # - title: "Slides"
+  #        link: "..."
   ####################################### Week 9 #########################################
   - date: 2024-11-06
     title: "Lecture 9: Unsupervised Learning"
@@ -233,8 +233,8 @@ lectures:
   - date: 2024-11-20
     title: "Final Project Due"
     contents:
-      # - title: "Project Info PDF"
-        #link: "resources/SP24_slides/Final-Project_SP24.pdf"
+      - title: "PDF"
+        link: "resources/FA24_slides/INFO1998-Final-Project.pdf"
     # assignments:
     #    - title: "Final Project"
     #      link: "resources/SP21/assignments/release/Project.pdf"

final_project.md

@@ -5,16 +5,15 @@ layout: main
 
 ### Due Dates
 
-Mid-semester Check-In: Between lecture 6 and lecture 8
-
-Final Submission (tentative): **April 24, 2024**
+Mid-semester Check-In: Between lecture 5 and lecture 7
 
+Final Submission (tentative): **November 20, 2024**
 
 ---------------------------------------------------------------------------
 
 ### Project Description
 
-The final project is worth **40%** of your grade and it is meant to be a culmination of all the knowledge and techniques you acquired during the semester. We will be working on it throughout the entirety of the course, with the mid-semester check-in helping to guide you along. It's recommended to work in a group but completing it alone is also fine this semester. See the [project pdf](resources/SP24_slides/Final-Project_SP24.pdf) for more details on the exact requirements.
+The final project is worth **40%** of your grade and it is meant to be a culmination of all the knowledge and techniques you acquired during the semester. We will be working on it throughout the entirety of the course, with the mid-semester check-in helping to guide you along. It's recommended to work in a group but completing it alone is also fine this semester. See the [project pdf](resources/FA24_slides/INFO1998-Final-Project.pdf) for more details on the exact requirements.
 
 
 

syllabus.md

@@ -7,9 +7,9 @@ INFO 1998, Fall 2024
 
 Course Email: cds.info1998@gmail.com
 
-Lecture time: Wednesdays, 7:30-8:20pm
+Lecture Time: Wednesdays, 7:30-8:20pm
 
-Lecture location: Olin Hall 165
+Lecture Location: Olin Hall 165
 
 ----------------------------------------------------------------------------------------
 ### Staff and office hours
@@ -69,8 +69,9 @@ We will be providing you with feedback on the Cornell University Course Manageme
 This is a 1-credit S/U class. In order to get a Satisfactory (S) grade, you will need at least 70%.
 
 There are two components to grading:
-- **Weekly Assignments (60%)**
+- **Weekly Assignments (55%)**
 - **Group Project (40%)**
+- **Lecture Attendance (5%)**
 
 This is a student-run course, so we understand how stressful classes can get. Above all, we want you to enjoy learning and applying the course content. So if you are concerned about passing this class, or have any **reasonable** cases to make for deadline extensions, please reach out the course manager or post a private note on ED immediately. We would love to see you succeed, but can only help if you notify us in time.