diff --git a/schedule.md b/schedule.md
index 2c9d77ebe0ace4d7ee9debc2c8a0fd7fea7fdc8a..8a56f36e3a59285a87ecd9c96d512150391b9932 100644
--- a/schedule.md
+++ b/schedule.md
@@ -242,41 +242,40 @@ Group work on Report
 # Module 2: Post GUI Accessibility 
 
 {: .week}
-# Week 5 (10/23 - 10/27): Fabrication & Data Equity
-{% details Learning Goals %} 
-- Work with laser cutting to make accessible technology
-- Learn about fabrication tools and techniques
+# Week 5 (10/23 - 10/27): Accessible Needfinding and Evaluation
 
-- Bias in Machine Learning
-    - What is Machine Learning (ML)? 
-    - What are the components of ML?
-    - How do we collect data? Who do we collect the data from?
-    - Is the data "good"?
-    - How do we minimize disability bias?
+{% details Learning Goals %} 
+- How to assess whether a technology is accessible; and whether an accessibility technology is useful and usable, in an inclusive fashion.
+- How do you make sure your *product is accessible* to people with disabilities
+   1. Data Equity and implicit bias
+   2. Beyond automated assessment: Accessible Summative Studies
+   3. Importance of Intersectionality
+- How do you make sure your *accessibility technology is valued* by people with disabilities
+   - What are potential data sources for assessing value
+   - Collaboration Versus Paternalism
+   - Overly narrow views of disability: Multiple disabled people & multiply disabled people
 {% enddetails %}
 
+{% details Monday 10/23: Introduction to Assessing Accessibility} 
 
-{% details Monday 10/23: What's the best way to Assess a Website?%} 
-
-**Slides** {% include slide.html title="Introduction to 3D Printing and Physical Computing" loc="3dprinting.html" %}
+**Slides** {% include slide.html title="Assessing Accessibility" loc="evaluation.html" %}
 
 {: .homework} Required Reading and Reflection (for Wednesday)
 : 
-
-- **Required: Respond to the Reading Questions and Preparation Requirements.**
-  - [Consumer-Grade Fabrication and Its Potential to Revolutionize Accessibility](https://dl.acm.org/doi/10.1145/3339824), CACM 2019  and [**Respond**](TBD)
-  - [Areas of Strategic Visibility: Disability Bias in Biometrics](https://arxiv.org/abs/2208.04712) and [**Respond**](TBD)
-- **If you want to go deeper**
-  - [Explaining Explanations: An Approach to Evaluating Interpretability of Machine Learning](https://www.cs.purdue.edu/homes/bb/nit/Lalana-Explainations%20of%20IAS.pdf)
-  - [Fairness issues in AI Systems that augment sensory abilities](https://arxiv.org/pdf/1908.07333.pdf) 
+- **Required Reading**
+  - Read [Blurring the Boundaries Between Assistive Tech and Companionship](https://www.forbes.com/sites/gusalexiou/2021/01/26/amazon-alexa---blurring-the-boundaries-between-assistive-tech-and-companionship/?sh=3bf833b75e7b) and Respond
+  - Read [How to do something good in the disability community if you're not disabled](https://www.forbes.com/sites/andrewpulrang/2020/12/16/how-to-do-something-good-in-the-disability-community-if-youre-not-disabled/?sh=21ef25c97d7f)
+- **If you want to dig deeper**
+  - Read [Anticipate and Adjust](https://dl.acm.org/doi/abs/10.1145/3491102.3501882)
+  - Read [Accessibility came by accident](https://dl.acm.org/doi/pdf/10.1145/3173574.3174033?casa_token=T1I2RwihIjsAAAAA:QEm3SjurdlcW7oX_1LadxaglZ7oneBX-XLIjMCHbof3gu_IFpDW2OO5tqxZfLIps-94Qik9y5wNw8Q)
 
 {: .homework} [Class Participation survey](TBD)
 : 
    
 {% enddetails %}
 
-{% details Wednesday 10/25: Making a Laser Cut Book Opener %} 
-Work in class on this
+{% details Wednesday 10/25: Introduction to Designing for Accessibility %} 
+: **Slides** {% include slide.html title="Designing for and with people with disabilities" loc="designing.html" %}
 
 {: .homework} [Technology Review](assignments/technology-review.html) Assigned: Write a group report about your assessment
 : 
@@ -287,22 +286,18 @@ Work in class on this
 {% enddetails %}
  
 {% details Thursday: Section %} 
-Finish making laser cuttable designs and print
-
+TBD
 {% enddetails %}
 
-{% details Friday 10/27: Data Equity %} 
-
-**Slides** {% include slide.html title="Data Equity" loc="bias-in-machine-learning.html" %}
+{% details Friday 10/27: Deaf Technology & Innovation (Tentative Guest Lecture Date -- Richard Ladner) %} 
 
 {: .homework} [Class Participation survey](TBD)
 : 
-   
+
 {% enddetails %}
 
 
 {: .week}
-
 # Week 6 (10/30 - 11/3): Accessible Visulaizations & AR/VR
 {% details Learning Goals %} 
 
@@ -315,9 +310,9 @@ Learn about how to make AR/VR interfaces and games accessible
 {% enddetails %}
 
 
-{% details Monday 10/30: AR/VR Accessibility%} 
+{% details Monday 10/30: Data Equity %} 
 
-**Slides** {% include slide.html title="AR/VR Accessibility" loc="arvr.html" %}
+**Slides** {% include slide.html title="Data Equity" loc="bias-in-machine-learning.html" %}
 
 {: .homework} Required Reading and Reflection (for Wednesday)
 : 
@@ -337,8 +332,12 @@ Learn about how to make AR/VR interfaces and games accessible
    
 {% enddetails %}
 
-{% details Wednesday 11/1: AR/VR %} 
-Work in class on this
+
+{% details Wednesday 11/1: AR/VR Accessibility %} 
+
+**Slides** {% include slide.html title="AR/VR Accessibility" loc="arvr.html" %}
+
+
 
 {: .homework} [Technology Review](assignments/technology-implementation.html) Assigned: Make something (post-gui) more accessible
 : 
@@ -363,41 +362,43 @@ Check in to make sure you have a plan and it is do-able
 {% enddetails %}
 
 
-
 {: .week}
-# Week 7 (11/6-11/10): Accessible Needfinding and Evaluation
+# Week 7 (11/6 - 11/10): Fabrication & Data Equity
 {% details Learning Goals %} 
-- How to assess whether a technology is accessible; and whether an accessibility technology is useful and usable, in an inclusive fashion.
-- How do you make sure your *product is accessible* to people with disabilities
-   1. Data Equity and implicit bias
-   2. Beyond automated assessment: Accessible Summative Studies
-   3. Importance of Intersectionality
-- How do you make sure your *accessibility technology is valued* by people with disabilities
-   - What are potential data sources for assessing value
-   - Collaboration Versus Paternalism
-   - Overly narrow views of disability: Multiple disabled people & multiply disabled people
+- Work with laser cutting to make accessible technology
+- Learn about fabrication tools and techniques
+
+- Bias in Machine Learning
+    - What is Machine Learning (ML)? 
+    - What are the components of ML?
+    - How do we collect data? Who do we collect the data from?
+    - Is the data "good"?
+    - How do we minimize disability bias?
 {% enddetails %}
 
-{% details Monday 11/6: Introduction to Assessing Accessibility} 
 
-**Slides** {% include slide.html title="Assessing Accessibility" loc="evaluation.html" %}
+{% details Monday 11/6: What's the best way to Assess a Website?%} 
+
+**Slides** {% include slide.html title="Introduction to 3D Printing and Physical Computing" loc="3dprinting.html" %}
 
 {: .homework} Required Reading and Reflection (for Wednesday)
 : 
-- **Required Reading**
-  - Read [Blurring the Boundaries Between Assistive Tech and Companionship](https://www.forbes.com/sites/gusalexiou/2021/01/26/amazon-alexa---blurring-the-boundaries-between-assistive-tech-and-companionship/?sh=3bf833b75e7b) and Respond
-  - Read [How to do something good in the disability community if you're not disabled](https://www.forbes.com/sites/andrewpulrang/2020/12/16/how-to-do-something-good-in-the-disability-community-if-youre-not-disabled/?sh=21ef25c97d7f)
-- **If you want to dig deeper**
-  - Read [Anticipate and Adjust](https://dl.acm.org/doi/abs/10.1145/3491102.3501882)
-  - Read [Accessibility came by accident](https://dl.acm.org/doi/pdf/10.1145/3173574.3174033?casa_token=T1I2RwihIjsAAAAA:QEm3SjurdlcW7oX_1LadxaglZ7oneBX-XLIjMCHbof3gu_IFpDW2OO5tqxZfLIps-94Qik9y5wNw8Q)
+
+- **Required: Respond to the Reading Questions and Preparation Requirements.**
+  - [Consumer-Grade Fabrication and Its Potential to Revolutionize Accessibility](https://dl.acm.org/doi/10.1145/3339824), CACM 2019  and [**Respond**](TBD)
+  - [Areas of Strategic Visibility: Disability Bias in Biometrics](https://arxiv.org/abs/2208.04712) and [**Respond**](TBD)
+- **If you want to go deeper**
+  - [Explaining Explanations: An Approach to Evaluating Interpretability of Machine Learning](https://www.cs.purdue.edu/homes/bb/nit/Lalana-Explainations%20of%20IAS.pdf)
+  - [Fairness issues in AI Systems that augment sensory abilities](https://arxiv.org/pdf/1908.07333.pdf) 
 
 {: .homework} [Class Participation survey](TBD)
 : 
    
 {% enddetails %}
 
-{% details Wednesday 11/8: Introduction to Designing for Accessibility %} 
-: **Slides** {% include slide.html title="Designing for and with people with disabilities" loc="designing.html" %}
+{% details Wednesday 11/8: Making a Laser Cut Book Opener %} 
+Work in class on this
+
 
 {: .homework} [Final Project Proposal](assignments/project-proposals.html) Assigned: Prepare your final project proposal (individual)
 : 
@@ -408,7 +409,7 @@ Check in to make sure you have a plan and it is do-able
 {% enddetails %}
  
 {% details Thursday: Section %} 
-Work on final project proposals
+Finish making laser cuttable designs and print
 
 {% enddetails %}