Graph Theory Courses

Simons Institute

Berkeley in the 80s - Manuel Blum's Contributions to Computing Theory

Explore Manuel Blum's groundbreaking research, advising philosophy, and insights on complexity theory, number theory, and consciousness in this engaging interview with the Turing Laureate.

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

Simons Institute

A Theory of Trotter Error

Explores advanced theory of Trotter error in quantum simulation, providing tighter error bounds and improved algorithms for various quantum systems and observables.

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

Simons Institute

Recent Advances in Quantum Simulation with Applications to Chemistry and Field Theory

Explore recent quantum simulation advances in chemistry and field theory, covering time-dependent Hamiltonians, QDRIFT, Dyson series, and interaction picture simulation techniques.

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

Simons Institute

Game Theory Applied to Mining Pools, Token Offering, DAO, and Consensus Protocols

Explore game theory applications in blockchain, including mining pools, token offerings, DAOs, and consensus protocols. Gain insights into economic models and strategic decision-making in cryptocurrency ecosystems.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video

Simons Institute

Randomness in Number Theory

Explore randomness in number theory, covering topics like finite fields, graphs, quantum gates, and the Riemann Hypothesis with Princeton's Peter Sarnak.

• YouTube
• 1 hour 12 minutes
• Self-Paced
• Free Video

Kevin Darrah

RGB 8x8x8 LED Cube Theory and Construction

Explore the theory behind building an 8x8x8 RGB LED cube, covering LED control, bit angle modulation, shift registers, and cube architecture in this comprehensive tutorial.

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

ChariotSolutions

Supercharge Your Data Graph with Apollo Federation

Explore Apollo Federation for efficient GraphQL API management, enabling distributed architecture and seamless data graph consolidation without compromising developer velocity or API flexibility.

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

Simons Institute

Using Deep Learning for Perception in Autonomous Systems - A Perspective from Control Theory

Explore deep learning for perception in autonomous systems, focusing on efficient navigation using monocular RGB cameras in unknown environments. Control theory insights and practical lessons included.

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

Simons Institute

Invariant Theory for Computer Scientists

Explore algebraic methods in computer science, focusing on invariant theory, graph isomorphism, and group actions. Learn about algorithms, moment polytopes, and open problems in the field.

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

Simons Institute

The Information Bottleneck Theory of Deep Neural Networks

Explore the Information Bottleneck Theory's application to deep neural networks, examining statistical learning, information theory, and stochastic gradient descent in brain data analysis.

• YouTube
• 1 hour 38 minutes
• Self-Paced
• Free Video

Simons Institute

Reinforcement Learning: Hidden Theory and New Super-Fast Algorithms

Explore hidden theory and cutting-edge algorithms in reinforcement learning, covering topics like choleric relaxation, Watkins key function, and applications in finance and trading.

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

Simons Institute

Feedback Control Theory - Architectures and Tools for Real-Time Decision Making II

Explore advanced control systems, design patterns, and optimization techniques for real-time decision making in complex systems. Learn about PID control, robustness, and temporal logic.

• YouTube
• 1 hour 17 minutes
• Self-Paced
• Free Video

Simons Institute

A Brief Introduction to Algorithms, Game Theory and Risk-Averse Decision Making

Explore algorithms, game theory, and risk-averse decision making, covering shortest paths, NP-Complete problems, equilibria, and various risk frameworks for real-world applications.

• YouTube
• 1 hour 12 minutes
• Self-Paced
• Free Video

MITCBMM

Statistical Learning Theory and Applications - Class 16

Explore statistical learning theory, focusing on complexity, dual norm equality, and calligraphic G. Gain insights into advanced concepts and their applications in machine learning.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video

MITCBMM

Statistical Learning Theory and Applications - Class 6

Explore statistical learning theory with focus on Newton's method, recursive computation, and online methods for efficient problem-solving and data analysis.

• YouTube
• 1 hour 33 minutes
• Self-Paced
• Free Video