Graph Theory Courses

Read-only Rootfs: Theory and Practice for Embedded Systems

Explore techniques for implementing read-only rootfs in embedded systems, enhancing robustness and facilitating system updates. Learn to manage state storage and overcome challenges in real-world scenarios.

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

Building an IoT Empire - Theory and Practice

Hands-on IoT workshop covering Bluetooth, beacons, firmware development, and MQTT/AMQP. Participants receive hardware kits for real-world implementation of IoT systems and embedded device programming.

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

Integrating Graph Databases Into Your Architecture With GraphQL

Explore integrating graph databases using GraphQL, covering distributed architecture, data modeling, schema management, and query functions for efficient data handling and analysis.

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

All the Databases - Comparing Relational, NoSQL, and Graph Databases

Explore diverse database types, their histories, use cases, and trade-offs. Learn when to choose relational, NoSQL, or graph databases for optimal data management and system performance.

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

Fairness in Machine Learning - From Theory to Practice

Explore fairness in machine learning, addressing bias, measurement metrics, and regulatory considerations to ensure ethical and just AI implementation.

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

Generic ALSA SoC Sound Card History - Simple and Graph

Explore the evolution of ALSA SoC sound card drivers, focusing on generic solutions like simple-card and audio-graph-card. Learn about their creation, features, and implementation in embedded Linux systems.

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

Trevor Sullivan

Intro to OpenSource ArangoDB Document and Graph Database

Explore ArangoDB, an open-source database platform combining document and graph models. Learn about JSON storage, edge creation, and data visualization through its HTTP API and web interface.

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

Simons Institute

Parallel Batch-Dynamic Graph Representations

Explore efficient dynamic graph representations with Aspen and CPAM frameworks, enabling faster updates and space-efficient algorithms for practical applications like dynamic connectivity.

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

Fission

Indigitalization: Indigenous Computing Theory

Exploring Indigenous cultural knowledge as a framework for computing science, proposing an Indigenization approach to disrupt Western design principles and create more inclusive technologies.

• YouTube
• 1 hour 10 minutes
• Self-Paced
• Free Video

Samuel Chan

PyTorch's Computational Graph and Torchviz Visualization Tutorial

Learn to build neural networks, understand PyTorch's computational graph, and visualize deep learning networks using PyTorchViz in this comprehensive tutorial.

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

Sundeep Saradhi Kanthety

Chomsky Normal Form and Conversion of CFG to CNF in Automata Theory

Learn to convert Context-Free Grammars to Chomsky Normal Form, a standardized format for simplifying and analyzing grammars in automata theory. Understand the steps and rules for this important transformation.

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

Sundeep Saradhi Kanthety

Conversion of Regular Expression to Finite Automata Using Subset Method in Automata Theory

Learn to convert regular expressions to finite automata using the subset method, covering NFA construction, epsilon transition removal, and DFA conversion in automata theory.

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

Sundeep Saradhi Kanthety

Conversion of Finite Automata to Regular Expression Using State Eliminating Method in Automata Theory

Learn to convert finite automata to regular expressions using the state elimination method, a crucial technique in automata theory for simplifying complex systems.

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

Simons Institute

Faster High Accuracy Multi-Commodity Flows via Graph Techniques

Explore graph techniques to accelerate multi-commodity flow algorithms, improving accuracy and efficiency. Discover connections to linear programming and open problems in algorithm design.

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

Simons Institute

On Dynamic Graph Approximations - The Case of J-Trees

Explores dynamic maintenance of j-trees in graph theory, discussing implications for cut-based optimization, maximum flows, and minimum cost-flow computations in algorithmic design.

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