diff --git a/README.md b/README.md
index dee4e87..66946ac 100755
--- a/README.md
+++ b/README.md
@@ -555,7 +555,7 @@ Table of Contents
   - [MOOC - Neural Networks for Machine Learning, Geoffrey Hinton 2016 - Coursera](https://www.youtube.com/playlist?list=PLoRl3Ht4JOcdU872GhiYWf6jwrk_SNhz9)
   - [Stat 946 Deep Learning - University of Waterloo](https://www.youtube.com/playlist?list=PLehuLRPyt1Hyi78UOkMPWCGRxGcA9NVOE)
   - [EECS 298 Theory of Computational Neural Networks and Machine Learning (Fall 2020) - UC Irvine](https://grandcentral.eee.uci.edu/syllabus/download/F-2020/17815) ([YouTube](https://www.youtube.com/playlist?list=PLIygTcviGPKBAh1HWXPOI3Rw59WdRlJXu))
-  - [ECE 1508 Applied Deep Learning - University of Toronto](https://www.bereyhi.com/deep-learning) ([Winter 2025](https://www.youtube.com/playlist?list=PLcFgNUo9s_AgsMOnniTMIWmLpjj9vZ1Wm)) ([Fall 2024](https://www.youtube.com/playlist?list=PLcFgNUo9s_Ajz1l4rBDIApwdcEKgzoMko))
+  - [ECE 1508 Applied Deep Learning - University of Toronto](https://www.bereyhi.com/deep-learning) ([Fall 2025](https://bereyhi-courses.github.io/dl-utoronto/)) ([Winter 2025](https://www.youtube.com/playlist?list=PLcFgNUo9s_AgsMOnniTMIWmLpjj9vZ1Wm)) ([Fall 2024](https://www.youtube.com/playlist?list=PLcFgNUo9s_Ajz1l4rBDIApwdcEKgzoMko))
   - [Neural networks class - Université de Sherbrooke](http://info.usherbrooke.ca/hlarochelle/neural_networks/content.html) ([YouTube](https://www.youtube.com/playlist?list=PL6Xpj9I5qXYEcOhn7TqghAJ6NAPrNmUBH))
   - [DLCV - Deep Learning for Computer Vision - UPC Barcelona](https://www.youtube.com/playlist?list=PL-5eMc3HQTBavDoZpFcX-bff5WgQqSLzR)
   - [DLAI - Deep Learning for Artificial Intelligence @ UPC Barcelona](https://www.youtube.com/playlist?list=PL-5eMc3HQTBagIUjKefjcTbnXC0wXC_vd)
@@ -823,7 +823,7 @@ Table of Contents
 - **Discrete Math**
   - [6.042J - Mathematics for Computer Science, MIT OCW](https://ocw.mit.edu/courses/6-042j-mathematics-for-computer-science-fall-2010/video_galleries/video-lectures/) 
   - [18.200 - Principles of Discrete Applied Mathematics, MIT OCW](https://ocw.mit.edu/courses/18-200-principles-of-discrete-applied-mathematics-spring-2024/video_galleries/lecture-videos/)
-  - [Computer Science 70, 001 - Spring 2015](https://www.youtube.com/playlist?list=-XXv-cvA_iD8wQm8U0gG_Z1uHjImKXFy)
+  - [UC Berkeley Computer Science 70, Discrete Mathematics and Probability Theory - Fall 2025](https://www.eecs70.org/) ([YouTube](https://www.youtube.com/playlist?list=PLIygTcviGPKDV7TrbTokEDN0haWwiV_xp))
   - [CSE 547 Discrete Mathematics, Prof Skiena, University of Stony Brook](http://www3.cs.stonybrook.edu/~algorith/math-video/)
   - [Discrete Structures (Summer 2011) - Rutgers, The State University of New Jersey](https://itunes.apple.com/us/course/discrete-structures-summer/id698728837)
   - [Discrete Mathematics and Mathematical Reasoning 2015/16 - University of Edinburgh](https://www.inf.ed.ac.uk/teaching/courses/dmmr/)
@@ -1424,7 +1424,8 @@ introduction/id389259246))
 - [Computational Finance Course - Prof Grzelak](https://www.youtube.com/playlist?list=PL6zzGYGhbWrPaI-op1UfNl0uDglxdkaOB)
 - [Financial Engineering Course: Interest Rates and xVA - Prof Grzelak](https://www.youtube.com/playlist?list=PL6zzGYGhbWrMpjEKDtnrHWyIj-oVLKCYD)
 - [MOOC - Mathematical Methods for Quantitative Finance, University of Washington/Coursera)](http://academictorrents.com/details/dfc1ddde962101f00ef9764b91181bd6bb5c9e93)
-- [18.S096 Topics in Mathematics with Applications in Finance, MIT OCW](https://ocw.mit.edu/courses/18-s096-topics-in-mathematics-with-applications-in-finance-fall-2013/video_galleries/video-lectures/)
+- [18.S096 Topics in Mathematics with Applications in Finance, Fall 2013 MIT OCW](https://ocw.mit.edu/courses/18-s096-topics-in-mathematics-with-applications-in-finance-fall-2013/video_galleries/video-lectures/)
+- [18.642 Topics in Mathematics with Applications in Finance, Fall 2024 MIT OCW](https://ocw.mit.edu/courses/18-642-topics-in-mathematics-with-applications-in-finance-fall-2024/pages/week-1/)
 - [Computational Finance - Universität Leipzig](https://www.youtube.com/playlist?list=PL4i4aZbplv9J5jan6mDbDHtjfm7ghMWfj)
 - [Machine Learning for Trading | Udacity](https://www.youtube.com/playlist?list=PLAwxTw4SYaPnIRwl6rad_mYwEk4Gmj7Mx)
 - [ACT 460 / STA 2502 – Stochastic Methods for Actuarial Science - University of Toronto](http://www.utstat.utoronto.ca/sjaimung/courses/sta2502/main.htm)