Graph Theory Courses

International Centre for Theoretical Sciences

The Chabauty-Coleman-Kim Method: From Theory to Practice - Lecture 4

Explore advanced techniques in arithmetic geometry, focusing on the Chabauty-Coleman-Kim method for studying rational points on modular curves. Gain insights into theoretical foundations and practical applications.

• YouTube
• 1 hour 52 minutes
• Self-Paced
• Free Video

International Centre for Theoretical Sciences

The Chabauty-Coleman-Kim Method: From Theory to Practice - Lecture 3

Exploring advanced techniques in arithmetic geometry for analyzing rational points on modular curves, focusing on the Chabauty-Coleman-Kim method and its practical applications.

• YouTube
• 1 hour 51 minutes
• Self-Paced
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Learning Theory in the Quantum Universe - IPAM at UCLA

Explore quantum learning theory with Google Quantum AI expert Hsin-Yuan Huang. Discover mathematical challenges and computational advancements in quantum computing through this insightful presentation.

• YouTube
• 1 hour 14 minutes
• Self-Paced
• Free Video

Fields Institute

K-Theory and C*-Algebras - Lecture 5

Explore advanced concepts in operator algebras with a focus on K-Theory and C*-Algebras, led by renowned mathematician George Elliott from the University of Toronto.

• YouTube
• 52 minutes
• Self-Paced
• Free Video

Simons Institute

Parallelism in Dynamic Graph Algorithms

Explore parallelism in dynamic data structures through batch algorithms and graph streaming, enabling efficient handling of concurrent updates and queries in graph algorithms.

• YouTube
• 1 hour
• Self-Paced
• Free Video

Simons Institute

Optimizing Dynamic-Graph Data Structures on Multicores with the Locality-First Strategy

Explore techniques for optimizing dynamic-graph data structures on multicores, focusing on locality-first strategies to enhance performance for large-scale problems in real-world applications.

• YouTube
• 48 minutes
• Self-Paced
• Free Video

International Centre for Theoretical Sciences

Arithmetic Field Theory for Elliptic Curves by Minhyong Kim

Explore advanced arithmetic field theory for elliptic curves, focusing on rational points on modular curves, Chabauty methods, and computational aspects in arithmetic geometry.

• YouTube
• 1 hour 47 minutes
• Self-Paced
• Free Video

Simons Institute

Query Optimization and Evaluation 1 - Output Size Bounds and Information Theory

Explore output size bounds and information theory in query optimization, focusing on advanced techniques for efficient database management and AI applications.

• YouTube
• 57 minutes
• Self-Paced
• Free Video

Simons Institute

Fine-Grained Complexity 3 - Logic and Algorithms in Database Theory and AI

Explore advanced concepts in fine-grained complexity theory, focusing on algorithmic challenges and their implications for database theory and AI.

• YouTube
• 1 hour 7 minutes
• Self-Paced
• Free Video

Dr Trefor Bazett

Why Complete Chaos Is Impossible - Ramsey Theory

Explore Ramsey Theory and its applications in high-dimensional tic-tac-toe, revealing how order emerges in seemingly chaotic systems through theorems like Hales-Jewett and Van der Waerden.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Simons Institute

Graph Data Structures - Part 2

Explore advanced graph data structures and optimization techniques for designing efficient algorithms in this in-depth lecture by Thatchaphol Saranurak.

• YouTube
• 54 minutes
• Self-Paced
• Free Video

Simons Institute

Graph Data Structures - Part 1

Explore fundamental graph data structures and their applications in algorithmic optimization, presented by a leading expert from the University of Michigan.

• YouTube
• 58 minutes
• Self-Paced
• Free Video

Simons Institute

Graph Linear Algebra Part 1

Explore fundamental concepts of graph linear algebra, focusing on matrices, spectral theory, and their applications in algorithmic graph theory and network analysis.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

International Centre for Theoretical Sciences

Deepsets, Graph Neural Networks, and Transformers in Machine Learning - Lecture 4

Explore advanced deep learning architectures like Deepsets, Graph Neural Networks, and Transformers, focusing on their applications in high energy physics data analysis and research.

• YouTube
• 2 hours 3 minutes
• Self-Paced
• Free Video

Simons Institute

Graph Data Structures Part 3

Explore advanced graph data structures and optimization techniques for designing efficient algorithms, presented by Thatchaphol Saranurak from the University of Michigan.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video