diff --git a/README.md b/README.md
index 5b4d174..d7d3021 100755
--- a/README.md
+++ b/README.md
@@ -538,6 +538,7 @@ Table of Contents
   - [Stanford CS330: Deep Multi-Task and Meta Learning I Autumn 2022](https://www.youtube.com/playlist?list=PLoROMvodv4rNjRoawgt72BBNwL2V7doGI)
   - [ES 661 (2023): Probabilistic Machine Learning - IIT Gandhinagar](https://www.youtube.com/playlist?list=PLftoLyLEwECBEJyfRBJoSBd0UaTjEcs3I)
   - [Information Retrieval in High Dimensional Data](https://www.youtube.com/playlist?list=PLaE1lKCe0jH3ePp9wCU1ygTquVOXY-UYv)
+  - [Trustworthy Machine Learning - Winter Semester 2023-2024, University of Tübingen](https://scalabletrustworthyai.github.io/courses/tml_winter_2324/)
   
 - #### **Natural Language Processing**
   - [CS 224N -Natural Language Processing with Deep Learning - Stanford University](http://web.stanford.edu/class/cs224n/) ([Lectures -  Winter 2019](https://youtube.com/playlist?list=PLoROMvodv4rOhcuXMZkNm7j3fVwBBY42z)) ([Lectures -  Winter 2021](https://youtube.com/playlist?list=PLoROMvodv4rOSH4v6133s9LFPRHjEmbmJ))
@@ -592,6 +593,8 @@ Table of Contents
   - [10-801 Advanced Optimization and Randomized Methods - CMU](http://www.cs.cmu.edu/~suvrit/teach/aopt.html) ([YouTube](https://www.youtube.com/playlist?list=PLjTcdlvIS6cjdA8WVXNIk56X_SjICxt0d))
   - [AM 207 - Stochastic Methods for Data Analysis, Inference and Optimization, Harvard University](http://am207.github.io/2016/index.html)
   - [UCSD CS292F Convex Optimization Spring 2020, by Yu-Xiang Wang](https://cseweb.ucsd.edu/~yuxiangw/classes/CS292F-2020Spring/) ([Youtube](https://www.youtube.com/playlist?list=PLTN4aNO9NiB5VxYILKPBXoy9g1tUqmnBx))
+  - [University of Wisconsin-Madison ISyE/Math/CS/Stat 525 Linear Optimization fall 2021, by Alberto Del Pia](https://www.youtube.com/playlist?list=PLeO_PhASIA0Ot69TqANAnNxoykHGOQp2Y)
+  - [University of Wisconsin-Madison ISyE/Math/CS 728 Integer Optimization (second part of the course) spring 2020](https://www.youtube.com/playlist?list=PLeO_PhASIA0NlDNF9y-SsgVEYcvAMj2CY)
   
 - #### **Misc Machine Learning Topics**
   - [Quantum Machine Learning | 2021 Qiskit Global Summer School](https://www.youtube.com/playlist?list=PLOFEBzvs-VvqJwybFxkTiDzhf5E11p8BI)
@@ -709,6 +712,10 @@ Table of Contents
   - [UC Berkeley STAT 150 Stochastic Processes spring 2021, by Brett Kolesnik](https://www.youtube.com/playlist?list=PL682UO4IMem_H6exlt8NMfBSc0137_wlo)
   - [UIUC Math 564 Applied Stochastic Processes fall 2016, by Kay Kirkpatrick](https://www.youtube.com/playlist?list=PL682UO4IMem-5C_U0ml6O2kM1s1Yo-D9D)
   - [CS/ECE 561 - Probability and Info Theory in Machine Learning](https://mediaspace.wisc.edu/channel/CS_ECE%2B561%2B-%2BProbability%2Band%2BInfo%2BTheory%2Bin%2BMachine%2BLearning/191748913)
+  - [UCLA Stats 101C Statistical Models and Data Mining summer 2022, by Miles Chen](https://www.youtube.com/playlist?list=PLIygTcviGPKAYdlamMMGkNGJuKFVYvYER)
+  - [UCLA Stats 102A Introduction to Computational Statistics with R winter 2024, by Miles Chen](https://www.youtube.com/playlist?list=PLIygTcviGPKCiE3kiMI7ofuQ3wmXQUcmx)
+  - [UCLA Stats 102B Computation and Optimization for Statistics spring 2024, by Miles Chen](https://www.youtube.com/playlist?list=PLIygTcviGPKD4XftRgjRlTITljOx792YN)
+  - [UCLA Stats 102C Introduction to Monte Carlo Methods fall 2023, by Miles Chen](https://www.youtube.com/playlist?list=PLIygTcviGPKDv0fZ7RxMGPuaa1Yqx_bzh)
 - **Linear Algebra**
   - [Mathematical Foundations of Machine Learning (Fall 2021) - University of Chicago - Rebecca Willett](https://willett.psd.uchicago.edu/teaching/mathematical-foundations-of-machine-learning-fall-2021/)
   - [18.06 - Linear Algebra, Prof. Gilbert Strang, MIT OCW](https://ocw.mit.edu/courses/mathematics/18-06sc-linear-algebra-fall-2011/)