From 81928aea3befa637dddcdd0b1c3613f156e17cf2 Mon Sep 17 00:00:00 2001
From: zmuhls <zmuhlbauer1@gmail.com>
Date: Wed, 11 Sep 2024 20:11:10 -0400
Subject: [PATCH] Update numerous links

---
 .DS_Store     | Bin 10244 -> 10244 bytes
 activities.md |  84 +++++++++++++++++++++++++-------------------------
 datasets.md   |  12 ++++----
 overview.md   |   2 +-
 schedule.md   |  13 ++++----
 syllabus.md   |  14 ++++-----
 6 files changed, 62 insertions(+), 63 deletions(-)

diff --git a/.DS_Store b/.DS_Store
index 08259f0efc4f67734d3368700a576818f80454d1..78abd273106964ff88d5ca85d2a6cb9346492e53 100644
GIT binary patch
delta 23
ecmZn(XbISmBsjTLh<|gTAPXZS<K{A<K2ZQ)rUwrI

delta 23
ecmZn(XbISmBsjTLh<|gTAPXZS!{#!fK2ZQ)pa%{B

diff --git a/activities.md b/activities.md
index 410028c..3d8c0a9 100644
--- a/activities.md
+++ b/activities.md
@@ -6,45 +6,45 @@ has_children: false
 ---
 - # Low-Stakes Activities
 
-  ## Collaborative Annotations
-  
-  For critical readings linked in the [schedule](/schedule.md), please use Hypothesis to annotate the text so that you can share your insights with peers and myself as part of our private annotation group. Annotations should range from 25 to 75 words, focusing on analytical depth, stylistic clarity, and interaction with peers. Hypothesis will serve not only as a platform for engaging with readings but also as a tool for managing and reflecting on scholarly information. 
-  
-  If you have not yet joined our private annotation group or cannot see your annotations, please do not hesitate to contact me; failing that, check out the [Hypothesis help](https://web.hypothes.is/help/) portal for support.
-  
-  ## Programming Activities
-  
-  Upload your work to the "Activities" folder of your portfolio project on GitHub and commit two files for each submission:
-  
-  * one **~250 word reflection** in Markdown (e.g., `a1_reflection.md`)
-  * one completed Jupyter notebook (e.g., `a4_notebook.ipynb`).
-  
-  #### Activity 1: Building Blocks
-  
-  - Due: 09/26 (Thur) 
-  - Downloadable [Instructions: Activity 1](https://colab.research.google.com/github/zmuhls/CCNY-Data-Science/blob/main/assets/activities/activity_1.ipynb)
-  - Submission format: .md (Markdown) and .ipynb (Jupyter Notebook)
-  
-  #### Activity 2: Python Primer
-  
-  - Due: 10/17 (Thur)
-  - Downloadable [Instructions: Activity 2](https://colab.research.google.com/github/zmuhls/CCNY-Data-Science/blob/main/assets/activities/activity_2.ipynb)
-  - Submission format: .md (Markdown) and .ipynb (Jupyter Notebook)
-  
-  #### Activity 3: Practicing Pandas
-  
-  - Due: 11/07 (Thur)
-  - Downloadable [Instructions: Activity 3](https://colab.research.google.com/github/zmuhls/CCNY-Data-Science/blob/main/assets/activities/activity_3.ipynb)
-  - Submission format: .md (Markdown) and .ipynb (Jupyter Notebook)
-  
-  #### Activity 4: Writing Docs
-  
-  - Due: 11/14 (Thur)
-  - Downloadable [Instructions: Activity 4](https://github.com/zmuhls/CCNY-Data-Science/blob/main/assets/activities/activity_4.md)
-  - Submission format: .md (Markdown) and .ipynb (Jupyter Notebook) 
-  
-  #### Activity 5: Data Visualization
-  
-  - Due: 11/26 (Tue)
-  - Downloadable [Instructions: Activity 5](https://github.com/zmuhls/CCNY-Data-Science/blob/main/assets/activities/activity_5.pdf)
-  - Submission format: .md (Markdown) and .ipynb (Jupyter Notebook)
+## Collaborative Annotations
+
+For critical readings linked in the [schedule](https://zmuhls.github.io/ccny-data-science/schedule/), please use Hypothesis to annotate the text so that you can share your insights with peers and myself as part of our private annotation group. Annotations should range from 25 to 75 words, focusing on analytical depth, stylistic clarity, and interaction with peers. Hypothesis will serve not only as a platform for engaging with readings but also as a tool for managing and reflecting on scholarly information.
+
+If you have not yet joined our private annotation group or cannot see your annotations, please do not hesitate to contact me; failing that, check out the [Hypothesis help](https://web.hypothes.is/help/) portal for support.
+
+## Programming Activities
+
+Upload your work to the "Activities" folder of your portfolio project on GitHub and commit two files for each submission:
+
+- one **~250 word reflection** in Markdown (e.g., `a1_reflection.md`)
+- one completed Jupyter notebook (e.g., `a4_notebook.ipynb`).
+
+### Activity 1: Building Blocks
+
+- Due: 09/26 (Thur)
+- Downloadable [Instructions: Activity 1](https://colab.research.google.com/github/zmuhls/ccny-data-science/blob/main/assets/activities/activity_1.ipynb)
+- Submission format: .md (Markdown) and .ipynb (Jupyter Notebook)
+
+### Activity 2: Python Primer
+
+- Due: 10/17 (Thur)
+- Downloadable [Instructions: Activity 2](https://colab.research.google.com/github/zmuhls/ccny-data-science/blob/main/assets/activities/activity_2.ipynb)
+- Submission format: .md (Markdown) and .ipynb (Jupyter Notebook)
+
+### Activity 3: Practicing Pandas
+
+- Due: 11/07 (Thur)
+- Downloadable [Instructions: Activity 3](https://colab.research.google.com/github/zmuhls/ccny-data-science/blob/main/assets/activities/activity_3.ipynb)
+- Submission format: .md (Markdown) and .ipynb (Jupyter Notebook)
+
+### Activity 4: Writing Docs
+
+- Due: 11/14 (Thur)
+- Downloadable [Instructions: Activity 4](https://github.com/zmuhls/ccny-data-science/blob/main/assets/activities/activity_4.md)
+- Submission format: .md (Markdown) and .ipynb (Jupyter Notebook)
+
+### Activity 5: Data Visualization
+
+- Due: 11/26 (Tue)
+- Downloadable [Instructions: Activity 5](https://github.com/zmuhls/ccny-data-science/blob/main/assets/activities/activity_5.pdf)
+- Submission format: .md (Markdown) and .ipynb (Jupyter Notebook)
diff --git a/datasets.md b/datasets.md
index 611a04a..2f4ed04 100644
--- a/datasets.md
+++ b/datasets.md
@@ -7,15 +7,15 @@ nav_order: 05
 # Datasets
 For ease of retrieval, please make sure to save the datasets in the same folder as your Jupyter Notebook (.ipynb) file.
 
-- [Bellevue Almhouse Dataset](https://github.com/zmuhls/CCNY-Data-Science/blob/main/assets/datasets/bellevue_almshouse_modified.csv)
-- [Refugee by Arrival Dataset](https://github.com/zmuhls/CCNY-Data-Science/blob/main/assets/datasets/refugee-arrivals-by-destination.csv)
-- [Trans-Atlantic Slave Trade of Americas Dataset](https://github.com/zmuhls/CCNY-Data-Science/blob/main/assets/datasets/Trans-Atlantic-Slave-Trade_Americas.csv)
-- [U.S. Inaugural Addresses Dataset](https://github.com/zmuhls/CCNY-Data-Science/blob/main/assets/datasets/US_Inaugural_Addresses.zip)
-- [Trump Twitter Archive](https://github.com/zmuhls/CCNY-Data-Science/blob/main/assets/datasets/Trump-Tweets_2009-2021.csv)
+- [Bellevue Almhouse Dataset](https://github.com/zmuhls/ccny-data-science/blob/main/assets/datasets/bellevue_almshouse_modified.csv)
+- [Refugee by Arrival Dataset](https://github.com/zmuhls/ccny-data-science/blob/main/assets/datasets/refugee-arrivals-by-destination.csv)
+- [Trans-Atlantic Slave Trade of Americas Dataset](https://github.com/zmuhls/ccny-data-science/blob/main/assets/datasets/Trans-Atlantic-Slave-Trade_Americas.csv)
+- [U.S. Inaugural Addresses Dataset](https://github.com/zmuhls/ccny-data-science/blob/main/assets/datasets/US_Inaugural_Addresses.zip)
+- [Trump Twitter Archive](https://github.com/zmuhls/ccny-data-science/blob/main/assets/datasets/Trump-Tweets_2009-2021.csv)
 - [Social Network Datasets](https://github.com/melaniewalsh/sample-social-network-datasets)
 - [Data 8 List of Datasets](https://github.com/data-8/textbook/tree/main/assets/data)
 
-Except for Data 8's list of datasets, the one used in class are retrieved from Melanie Walsh's [Introduction to Cultural Analytics & Python](https://melaniewalsh.github.io/Intro-Cultural-Analytics/00-Datasets/00-Datasets.html) and related work of hers on GitHub. 
+The datasets used in class (except for Data 8's list) are retrieved from Melanie Walsh's [Introduction to Cultural Analytics & Python](https://melaniewalsh.github.io/Intro-Cultural-Analytics/00-Datasets/00-Datasets.html) and her related work on GitHub.
 
 The _COVID-19 Vaccine Twitter Archive_ is modified from [Gabriel Preda's COVID-19 All Vaccines Tweets dataset](https://www.kaggle.com/datasets/gpreda/all-covid19-vaccines-tweets).
 
diff --git a/overview.md b/overview.md
index 1b67793..c0ae62c 100644
--- a/overview.md
+++ b/overview.md
@@ -20,7 +20,7 @@ The competencies learned in this course will provide students with skills that w
 
 ## Course Materials 🗂️
 
-All required reading materials, activities, and instructions are provided on the [Schedule](https://zmuhls.github.io/CCNY-Data-Science/schedule/) page. Additionally, datasets are provided on the [Datasets](https://zmuhls.github.io/CCNY-Data-Science/datasets/) page, and assets for the course website are hosted [here](https://github.com/zmuhls/ccny-data-science). 
+All required reading materials, activities, and instructions are provided on the [Schedule](https://zmuhls.github.io/ccny-data-science/schedule/) page. Additionally, datasets are provided on the [Datasets](https://zmuhls.github.io/ccny-data-science/datasets/) page, and assets for the course website are hosted [here](https://github.com/zmuhls/ccny-data-science). 
 
 **Technical Readings**: These readings draw from Melanie Walsh's open-access [Introduction to Cultural Analytics and Python ](https://melaniewalsh.github.io/Intro-Cultural-Analytics/welcome.html)(2021), an online textbook written for students in humanities and social sciences to gain hands-on experience with the Python programming language within the context of critical-cultural analysis. The textbook demonstrates how Python can be applied to a wide range of cultural materials, such as magazine articles, classic novels, TV scripts, technical manuals, social networks, and so more.  
 
diff --git a/schedule.md b/schedule.md
index 7b48262..da5f4d5 100644
--- a/schedule.md
+++ b/schedule.md
@@ -7,7 +7,7 @@ parent: Syllabus
 
 # Schedule
 
-Assigned readings, activities, and projects are linked below. All work is due on the date in the same row as the required reading or activity. If you encounter an issue accessing materials, then give me holler!
+Assigned readings, activities, and projects are linked below. All work is due on the date in the same row as the required reading or activity. If you encounter a dead link then give me holler!
 
 | Date         | Topic/Theme                            | Critical Readings                                            | Technical Readings                                           | Due by Class                                                 |
 | ------------ | -------------------------------------- | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ |
@@ -20,27 +20,26 @@ Assigned readings, activities, and projects are linked below. All work is due on
 | 09/17 (Tue)  | Methods, Files, & Encoding             |                                                              | Melanie Walsh: [Data Types](https://melaniewalsh.github.io/Intro-Cultural-Analytics/02-Python/05-Data-Types.html);<br>[String Methods](https://melaniewalsh.github.io/Intro-Cultural-Analytics/02-Python/06-String-Methods.html) |                                                              |
 | 09/19 (Thur) | Metaphors of Data                      | Annette Markham: [Undermining 'data'](https://firstmonday.org/ojs/index.php/fm/article/view/4868/3749) | Walsh: [Files and Character Encoding](https://melaniewalsh.github.io/Intro-Cultural-Analytics/02-Python/07-Files-Character-Encoding.html) | —Annotate reading(s)                                         |
 | 09/24 (Tue)  | Control Flow                           |                                                              | Walsh: [Comparisons and Conditionals](https://melaniewalsh.github.io/Intro-Cultural-Analytics/02-Python/08-Comparisons-Conditionals.html) |                                                              |
-| 09/26 (Thur) | Computational Thinking                 | Jeanette Wing: [Computational Thinking](https://www.cs.cmu.edu/~15110-s13/Wing06-ct.pdf) |                                                              | **Activity 1**: [Building Blocks](https://zmuhls.github.io/CCNY-Data-Science/activities/#activity-1-building-blocks) |
+| 09/26 (Thur) | Computational Thinking                 | Jeanette Wing: [Computational Thinking](https://www.cs.cmu.edu/~15110-s13/Wing06-ct.pdf) |                                                              | **Activity 1**: [Building Blocks](https://zmuhls.github.io/ccny-data-science/activities/#activity-1-building-blocks) |
 | 10/03 (Tue)  | No Classes Scheduled                   |                                                              |                                                              |                                                              |
 | 10/08 (Tue)  | GitHub as a Platform                   | Nadia Eghbal: [GitHub as a Platform](https://www.google.com/books/edition/Working_in_Public/zxjBEAAAQBAJ?hl=en&gbpv=1&pg=PT6&printsec=frontcover) (PDF) | Walsh: [Lists and Loops](https://melaniewalsh.github.io/Intro-Cultural-Analytics/02-Python/10-Lists-Loops-Part2.html) | —Annotate reading<br>—Sign up for [GitHub](https://github.com) |
 | 10/10 (Thur) | Batteries Included                     |                                                              | Walsh: [Functions](https://melaniewalsh.github.io/Intro-Cultural-Analytics/02-Python/12-Functions.html) |                                                              |
 | 10/15 (Tue)  | No Classes Scheduled - Monday Schedule |                                                              |                                                              |                                                              |
-| 10/17 (Thur) | Python Review                          |                                                              | Walsh: [Common Python Errors](https://melaniewalsh.github.io/Intro-Cultural-Analytics/02-Python/13-Common-Python-Errors.html) | **Activity 2**: [Python Primer](https://zmuhls.github.io/CCNY-Data-Science/activities/#activity-2-python-primer) |
+| 10/17 (Thur) | Python Review                          |                                                              | Walsh: [Common Python Errors](https://melaniewalsh.github.io/Intro-Cultural-Analytics/02-Python/13-Common-Python-Errors.html) | **Activity 2**: [Python Primer](https://zmuhls.github.io/ccny-data-science/activities/#activity-2-python-primer) |
 | 10/22 (Tue)  | Data Biographies                       | Heather Krause: [Data Biographies: Getting to Know Your Data](https://gijn.org/stories/data-biographies-getting-to-know-your-data) | Walsh: [Missing data](https://melaniewalsh.github.io/Intro-Cultural-Analytics/03-Data-Analysis/02-Pandas-Basics-Part2.html#missing-data) |                                                              |
 | 10/24 (Thur) | Structure of the Repository            |                                                              | Reitz: [Structure of the Repository](https://docs.python-guide.org/writing/structure/) |                                                              |
 | 10/29 (Tue)  | 'Cleaning' Data                        | Rawson & Muñoz: [Against Cleaning](https://dhdebates.gc.cuny.edu/read/untitled-f2acf72c-a469-49d8-be35-67f9ac1e3a60/section/07154de9-4903-428e-9c61-7a92a6f22e51) | Alice Zhao: [Data Cleaning](https://github.com/adashofdata/nlp-in-python-tutorial/blob/master/1-Data-Cleaning.ipynb) | —Annotate reading(s)                                         |
 | 10/31 (Thur) | Pandas Basics                          | Anelise Hanson Shrout: [(Re)Humanizing Data: Digitally Navigating the Bellevue Almshouse](https://crdh.rrchnm.org/essays/v01-10-(re)-humanizing-data/) | Walsh: [Panda Basics I](https://melaniewalsh.github.io/Intro-Cultural-Analytics/03-Data-Analysis/01-Pandas-Basics-Part1.html) |                                                              |
 | 11/05 (Tue)  | Data Visualized                        | [Basic data visualizations](https://github.com/GCDigitalFellows/intro-pandas-dri-2022/blob/main/README.md#10-basic-data-visualizations) | Walsh: [Panda Basics I](https://melaniewalsh.github.io/Intro-Cultural-Analytics/03-Data-Analysis/01-Pandas-Basics-Part1.html) (cont'd) |                                                              |
-| 11/07 (Thur) | Data Ethics                            | VPRO Documentary: [Shoshana Zuboff on Surveillance Capitalism](https://www.youtube.com/watch?v=hIXhnWUmMvw) (Optional) | Walsh: [Users’ Data](https://melaniewalsh.github.io/Intro-Cultural-Analytics/04-Data-Collection/01-User-Ethics-Legal-Concerns.html) | **Activity 3**: [Practicing Pandas](https://zmuhls.github.io/CCNY-Data-Science/activities/#activity-3-practicing-pandas) |
+| 11/07 (Thur) | Data Ethics                            | VPRO Documentary: [Shoshana Zuboff on Surveillance Capitalism](https://www.youtube.com/watch?v=hIXhnWUmMvw) (Optional) | Walsh: [Users’ Data](https://melaniewalsh.github.io/Intro-Cultural-Analytics/04-Data-Collection/01-User-Ethics-Legal-Concerns.html) | **Activity 3**: [Practicing Pandas](https://zmuhls.github.io/ccny-data-science/activities/#activity-3-practicing-pandas) |
 | 11/12 (Tue)  | Distant Reading                        | Stephen Ramsay: [The Hermeneutics of Screwing Around; or What To Do With a Million Books](https://web.archive.org/web/20140604085234/http://www.playingwithhistory.com/wp-content/uploads/2010/04/hermeneutics.pdf) |                                                              | —Annotate reading                                            |
-| 11/14 (Thur) | Digital Hermeneutics                   |                                                              | Walsh: [TF-IDF with HathiTrust Data](https://melaniewalsh.github.io/Intro-Cultural-Analytics/05-Text-Analysis/02-TF-IDF-HathiTrust.html) | **Activity 4**: [Writing Docs](https://zmuhls.github.io/CCNY-Data-Science/activities/#activity-4-writing-docs) |
+| 11/14 (Thur) | Digital Hermeneutics                   |                                                              | Walsh: [TF-IDF with HathiTrust Data](https://melaniewalsh.github.io/Intro-Cultural-Analytics/05-Text-Analysis/02-TF-IDF-HathiTrust.html) | **Activity 4**: [Writing Docs](https://zmuhls.github.io/ccny-data-science/activities/#activity-4-writing-docs) |
 | 11/19 (Tue)  | Sentiment Analysis                     | Simone Rebora: [Sentiment Analysis in Literary Studies: A Critical Survey](https://www.digitalhumanities.org/dhq/vol/17/2/000691/000691.html) | Walsh: [Sentiment Analysis](https://melaniewalsh.github.io/Intro-Cultural-Analytics/05-Text-Analysis/04-Sentiment-Analysis.html) |                                                              |
 | 11/21 (Thur) | Network Analysis                       |                                                              | Walsh: [Network Analysis](https://melaniewalsh.github.io/Intro-Cultural-Analytics/06-Network-Analysis/01-Network-Analysis.html) | —Explore [Social Network Datasets](https://github.com/melaniewalsh/sample-social-network-datasets) |
-| 11/26 (Tue)  | Network Visualization                  |                                                              | Walsh: [Interactive Network Visualization](https://melaniewalsh.github.io/Intro-Cultural-Analytics/06-Network-Analysis/01-Network-Analysis.html) | **Activity 5**: [Data Visualization](https://zmuhls.github.io/CCNY-Data-Science/activities/#activity-5-data-visualization) |
+| 11/26 (Tue)  | Network Visualization                  |                                                              | Walsh: [Interactive Network Visualization](https://melaniewalsh.github.io/Intro-Cultural-Analytics/06-Network-Analysis/01-Network-Analysis.html) | **Activity 5**: [Data Visualization](https://zmuhls.github.io/ccny-data-science/activities/#activity-5-data-visualization) |
 | 11/28 (Thur) | No Class. College Closed.              |                                                              |                                                              |                                                              |
 | 12/03 (Tue)  | Reddit API Workshop                    |                                                              | [Reddit Data](https://melaniewalsh.github.io/Intro-Cultural-Analytics/04-Data-Collection/14-Reddit-Data.html) |                                                              |
 | 12/05 (Thur) | Coworking Lab                          |                                                              |                                                              |                                                              |
 | 12/10 (Tue)  | Lightning Talks                        |                                                              |                                                              | Send slides by Sun                                           |
 | 12/12 (Thur) | Lightning Talks                        |                                                              |                                                              | Send slides by Tue                                           |
 | 12/18 (Wed)  | Last day to submit work                |                                                              |                                                              | **Final**: **[Social Coding Portfolio](/portfolio.md)**      |
-
diff --git a/syllabus.md b/syllabus.md
index 2d47fce..f50b8b6 100644
--- a/syllabus.md
+++ b/syllabus.md
@@ -19,7 +19,7 @@ This course does <strong>not</strong> satisfy degree requirements for Computer S
 
 ## Course Materials 🗂️
 
-All required reading materials, activities, and instructions are provided on the [Schedule](https://zmuhls.github.io/CCNY-Data-Science/schedule/) page. Additionally, datasets are provided on the [Datasets](https://zmuhls.github.io/CCNY-Data-Science/datasets/) page, and assets for the course website are hosted [here](https://github.com/zmuhls/ccny-data-science). 
+All required reading materials, activities, and instructions are provided on the [Schedule](https://zmuhls.github.io/ccny-data-science/schedule/) page. Additionally, datasets are provided on the [Datasets]((https://zmuhls.github.io/ccny-data-science/datasets/) page, and assets for the course website are hosted [here](https://github.com/zmuhls/ccny-data-science). 
 
 **Technical Readings**: These readings draw from Melanie Walsh's open-access [Introduction to Cultural Analytics and Python ](https://melaniewalsh.github.io/Intro-Cultural-Analytics/welcome.html)(2021), an online textbook written for students in humanities and social sciences to gain a practical introduction to the Python programming language within the context of cultural analysis. The textbook demonstrates how Python can be applied to a wide range of cultural materials, such as magazine articles, classic novels, TV scripts, technical manuals, social networks, and so more.  
 
@@ -55,23 +55,23 @@ Assigned readings, activities, and projects are linked below. All work is due on
 | 09/17 (Tue)  | Methods, Files, & Encoding             |                                                              | Melanie Walsh: [Data Types](https://melaniewalsh.github.io/Intro-Cultural-Analytics/02-Python/05-Data-Types.html);<br>[String Methods](https://melaniewalsh.github.io/Intro-Cultural-Analytics/02-Python/06-String-Methods.html) |                                                              |
 | 09/19 (Thur) | Metaphors of Data                      | Annette Markham: [Undermining 'data'](https://firstmonday.org/ojs/index.php/fm/article/view/4868/3749) | Walsh: [Files and Character Encoding](https://melaniewalsh.github.io/Intro-Cultural-Analytics/02-Python/07-Files-Character-Encoding.html) | —Annotate reading(s)                                         |
 | 09/24 (Tue)  | Control Flow                           |                                                              | Walsh: [Comparisons and Conditionals](https://melaniewalsh.github.io/Intro-Cultural-Analytics/02-Python/08-Comparisons-Conditionals.html) |                                                              |
-| 09/26 (Thur) | Computational Thinking                 | Jeanette Wing: [Computational Thinking](https://www.cs.cmu.edu/~15110-s13/Wing06-ct.pdf) |                                                              | **Activity 1**: [Building Blocks](https://zmuhls.github.io/CCNY-Data-Science/activities/#activity-1-building-blocks) |
+| 09/26 (Thur) | Computational Thinking                 | Jeanette Wing: [Computational Thinking](https://www.cs.cmu.edu/~15110-s13/Wing06-ct.pdf) |                                                              | **Activity 1**: [Building Blocks](https://zmuhls.github.io/ccny-data-science/activities/#activity-1-building-blocks) |
 | 10/03 (Tue)  | No Classes Scheduled                   |                                                              |                                                              |                                                              |
 | 10/08 (Tue)  | GitHub as a Platform                   | Nadia Eghbal: [GitHub as a Platform](https://www.google.com/books/edition/Working_in_Public/zxjBEAAAQBAJ?hl=en&gbpv=1&pg=PT6&printsec=frontcover) (PDF) | Walsh: [Lists and Loops](https://melaniewalsh.github.io/Intro-Cultural-Analytics/02-Python/10-Lists-Loops-Part2.html) | —Annotate reading<br>—Sign up for [GitHub](https://github.com) |
 | 10/10 (Thur) | Batteries Included                     |                                                              | Walsh: [Functions](https://melaniewalsh.github.io/Intro-Cultural-Analytics/02-Python/12-Functions.html) |                                                              |
 | 10/15 (Tue)  | No Classes Scheduled - Monday Schedule |                                                              |                                                              |                                                              |
-| 10/17 (Thur) | Python Review                          |                                                              | Walsh: [Common Python Errors](https://melaniewalsh.github.io/Intro-Cultural-Analytics/02-Python/13-Common-Python-Errors.html) | **Activity 2**: [Python Primer](https://zmuhls.github.io/CCNY-Data-Science/activities/#activity-2-python-primer) |
+| 10/17 (Thur) | Python Review                          |                                                              | Walsh: [Common Python Errors](https://melaniewalsh.github.io/Intro-Cultural-Analytics/02-Python/13-Common-Python-Errors.html) | **Activity 2**: [Python Primer](https://zmuhls.github.io/ccny-data-science/activities/#activity-2-python-primer) |
 | 10/22 (Tue)  | Data Biographies                       | Heather Krause: [Data Biographies: Getting to Know Your Data](https://gijn.org/stories/data-biographies-getting-to-know-your-data) | Walsh: [Missing data](https://melaniewalsh.github.io/Intro-Cultural-Analytics/03-Data-Analysis/02-Pandas-Basics-Part2.html#missing-data) |                                                              |
 | 10/24 (Thur) | Structure of the Repository            |                                                              | Reitz: [Structure of the Repository](https://docs.python-guide.org/writing/structure/) |                                                              |
 | 10/29 (Tue)  | 'Cleaning' Data                        | Rawson & Muñoz: [Against Cleaning](https://dhdebates.gc.cuny.edu/read/untitled-f2acf72c-a469-49d8-be35-67f9ac1e3a60/section/07154de9-4903-428e-9c61-7a92a6f22e51) | Alice Zhao: [Data Cleaning](https://github.com/adashofdata/nlp-in-python-tutorial/blob/master/1-Data-Cleaning.ipynb) | —Annotate reading(s)                                         |
 | 10/31 (Thur) | Pandas Basics                          | Anelise Hanson Shrout: [(Re)Humanizing Data: Digitally Navigating the Bellevue Almshouse](https://crdh.rrchnm.org/essays/v01-10-(re)-humanizing-data/) | Walsh: [Panda Basics I](https://melaniewalsh.github.io/Intro-Cultural-Analytics/03-Data-Analysis/01-Pandas-Basics-Part1.html) |                                                              |
 | 11/05 (Tue)  | Data Visualized                        | [Basic data visualizations](https://github.com/GCDigitalFellows/intro-pandas-dri-2022/blob/main/README.md#10-basic-data-visualizations) | Walsh: [Panda Basics I](https://melaniewalsh.github.io/Intro-Cultural-Analytics/03-Data-Analysis/01-Pandas-Basics-Part1.html) (cont'd) |                                                              |
-| 11/07 (Thur) | Data Ethics                            | VPRO Documentary: [Shoshana Zuboff on Surveillance Capitalism](https://www.youtube.com/watch?v=hIXhnWUmMvw) (Optional) | Walsh: [Users’ Data](https://melaniewalsh.github.io/Intro-Cultural-Analytics/04-Data-Collection/01-User-Ethics-Legal-Concerns.html) | **Activity 3**: [Practicing Pandas](https://zmuhls.github.io/CCNY-Data-Science/activities/#activity-3-practicing-pandas) |
+| 11/07 (Thur) | Data Ethics                            | VPRO Documentary: [Shoshana Zuboff on Surveillance Capitalism](https://www.youtube.com/watch?v=hIXhnWUmMvw) (Optional) | Walsh: [Users’ Data](https://melaniewalsh.github.io/Intro-Cultural-Analytics/04-Data-Collection/01-User-Ethics-Legal-Concerns.html) | **Activity 3**: [Practicing Pandas](https://zmuhls.github.io/ccny-data-science/activities/#activity-3-practicing-pandas) |
 | 11/12 (Tue)  | Distant Reading                        | Stephen Ramsay: [The Hermeneutics of Screwing Around; or What To Do With a Million Books](https://web.archive.org/web/20140604085234/http://www.playingwithhistory.com/wp-content/uploads/2010/04/hermeneutics.pdf) |                                                              | —Annotate reading                                            |
-| 11/14 (Thur) | Digital Hermeneutics                   |                                                              | Walsh: [TF-IDF with HathiTrust Data](https://melaniewalsh.github.io/Intro-Cultural-Analytics/05-Text-Analysis/02-TF-IDF-HathiTrust.html) | **Activity 4**: [Writing Docs](https://zmuhls.github.io/CCNY-Data-Science/activities/#activity-4-writing-docs) |
+| 11/14 (Thur) | Digital Hermeneutics                   |                                                              | Walsh: [TF-IDF with HathiTrust Data](https://melaniewalsh.github.io/Intro-Cultural-Analytics/05-Text-Analysis/02-TF-IDF-HathiTrust.html) | **Activity 4**: [Writing Docs](https://zmuhls.github.io/ccny-data-science/activities/#activity-4-writing-docs) |
 | 11/19 (Tue)  | Sentiment Analysis                     | Simone Rebora: [Sentiment Analysis in Literary Studies: A Critical Survey](https://www.digitalhumanities.org/dhq/vol/17/2/000691/000691.html) | Walsh: [Sentiment Analysis](https://melaniewalsh.github.io/Intro-Cultural-Analytics/05-Text-Analysis/04-Sentiment-Analysis.html) |                                                              |
 | 11/21 (Thur) | Network Analysis                       |                                                              | Walsh: [Network Analysis](https://melaniewalsh.github.io/Intro-Cultural-Analytics/06-Network-Analysis/01-Network-Analysis.html) | —Explore [Social Network Datasets](https://github.com/melaniewalsh/sample-social-network-datasets) |
-| 11/26 (Tue)  | Network Visualization                  |                                                              | Walsh: [Interactive Network Visualization](https://melaniewalsh.github.io/Intro-Cultural-Analytics/06-Network-Analysis/01-Network-Analysis.html) | **Activity 5**: [Data Visualization](https://zmuhls.github.io/CCNY-Data-Science/activities/#activity-5-data-visualization) |
+| 11/26 (Tue)  | Network Visualization                  |                                                              | Walsh: [Interactive Network Visualization](https://melaniewalsh.github.io/Intro-Cultural-Analytics/06-Network-Analysis/01-Network-Analysis.html) | **Activity 5**: [Data Visualization](https://zmuhls.github.io/ccny-data-science/activities/#activity-5-data-visualization) |
 | 11/28 (Thur) | No Class. College Closed.              |                                                              |                                                              |                                                              |
 | 12/03 (Tue)  | Reddit API Workshop                    |                                                              | [Reddit Data](https://melaniewalsh.github.io/Intro-Cultural-Analytics/04-Data-Collection/14-Reddit-Data.html) |                                                              |
 | 12/05 (Thur) | Coworking Lab                          |                                                              |                                                              |                                                              |
@@ -93,7 +93,7 @@ Need a spare laptop? Try CCNY's [Laptop Loaner Program](https://portal.ccny.cuny
 
 ### Software 🖥️ 
 
-**Jupyter Notebook:** In-class lessons and homeworks are done in Jupyter Notebook so that we can use markdown and Python simultaneously.  The notebooks assume a Python 3 installation with the standard modules from the **Anaconda** **installation** (e.g. NLTK, Pandas, Numpy and Matplotlib) linked on the [schedule](https://zmuhls.github.io/CCNY-Data-Science/schedule/). 
+**Jupyter Notebook:** In-class lessons and homeworks are done in Jupyter Notebook so that we can use markdown and Python simultaneously.  The notebooks assume a Python 3 installation with the standard modules from the **Anaconda** **installation** (e.g. NLTK, Pandas, Numpy and Matplotlib) linked on the [schedule](https://zmuhls.github.io/ccny-data-science/schedule/). 
 
 **Hypothesis Annotation:** Expect to post 2-3 annotations for most  critical readings we do in this class, each about 25-50 words in length and assessed on thoughtfulness, style and craft, and a demonstrated effort to respond to others. Hypothesis can also be a useful research tool and means of information management, so I encourage you to engage with it throughout the course.