Update Readme.md

Author: ajzhanghk

docs/Workshop/202310-UNCC/Readme.md

@@ -7,5 +7,9 @@ Click the ipynb links to run notebooks through Google Colab:
 
 ## Part 1: Error and Resilience 
 - CaliforniaHousing Case (Regression) <a style="text-laign: 'center'" target="_blank" href="https://colab.research.google.com/github/SelfExplainML/PiML-Toolbox/blob/main/docs/Workshop/202310-UNCC/ModelDiagPart1_Error-n-Resilience_CaliforniaHousing.ipynb"><img src="https://github.com/SelfExplainML/PiML-Toolbox/blob/main/examples/results/LogoColab.png" width="20">  ipynb</a>  
-- SimuCredit Case (Binary Classification) <a style="text-laign: 'center'" target="_blank" href="https://colab.research.google.com/github/SelfExplainML/PiML-Toolbox/blob/main/docs/Workshop/202310-UNCC/ModelDiagPart1_Error-n-Resilience_SimuCredit.ipynb"><img src="https://github.com/SelfExplainML/PiML-Toolbox/blob/main/examples/results/LogoColab.png" width="20">  ipynb</a>  
+- SimuCredit Case (Binary Classification) <a style="text-laign: 'center'" target="_blank" href="https://colab.research.google.com/github/SelfExplainML/PiML-Toolbox/blob/main/docs/Workshop/202310-UNCC/ModelDiagPart1_Error-n-Resilience_SimuCredit.ipynb"><img src="https://github.com/SelfExplainML/PiML-Toolbox/blob/main/examples/results/LogoColab.png" width="20">  ipynb</a>
+
+## Part 2: Prediction Uncertainty
+
+## Part 3: Bias and Fairness