Graph Theory Courses

Stanford;  The University of British Columbia

Game Theory

35 ratings

Explore mathematical modeling of strategic interactions in various contexts, from classic games to real-world applications. Learn key concepts and techniques in game theory.

• Coursera
• 18 hours
• Self-Paced
• Paid Course

Understanding Einstein: The Special Theory of Relativity

19 ratings

Explore Einstein's special theory of relativity, its concepts, predictions, and paradoxes. Gain insights into Einstein's genius and the theory's impact on our understanding of space, time, and the universe.

• Coursera
• 81 hours
• Self-Paced
• Paid Course

Fundamentals of Music Theory

27 ratings

Explore Western music theory from basics to advanced concepts, covering pitches, scales, rhythm, harmony, and more. Develop skills to read, write, analyze, and listen to music informedly.

• Coursera
• 12 hours
• Self-Paced
• Paid Course

Terrorism and Counterterrorism: Comparing Theory and Practice

25 ratings

First it focuses on the essence of terrorism as an instrument to achieve certain goals, in addition to an exploration of this phenomenon and the difficulties in defining it. The second part provides an overview of the state of the art in (counter) terro…

• Coursera
• 18 hours 1 minute
• Self-Paced
• Paid Course

• Best of All Time

Graphic Design Theory

26 ratings

Comprehensive exploration of graphic design fundamentals, covering color theory, typography, contrast, layout principles, and advanced concepts for creating visually effective designs.

• YouTube
• 3 hours 30 minutes
• Self-Paced
• Free Video

Graph Search, Shortest Paths, and Data Structures

2000 ratings at Coursera

Explore data structures, graph algorithms, and their applications in computer science, from search techniques to social network analysis.

• Coursera
• 13 hours 32 minutes
• Self-Paced
• Paid Course

Fundamental Lessons From String Theory

2 ratings

Explore groundbreaking insights from string theory, including black hole entropy calculations and recent discoveries, with renowned physicist Cumrun Vafa.

• World Science U
• Self-Paced
• Free Certificate

MedAI- Graph-Based Modeling in Computational Pathology - Siyi Tang

1 rating

Explore graph-based modeling in computational pathology, focusing on cellular interactions and spatial structures in whole slide images using graph neural networks for biomarker discovery and workflow automation.

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

Stanford Seminar - Applying Theory to Practice and Practice to Theory

Explore the synergy between theoretical concepts and practical applications in computer science, emphasizing collaboration and innovative problem-solving techniques.

• YouTube
• 59 minutes
• Self-Paced
• Free Online Course

Extending the Theory of ML for Human-Centric Applications

Exploring ML challenges in real-world applications, focusing on data manipulation, multi-objective optimization, and robustness in dynamic environments with human-centric considerations.

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

Information Theory of Deep Learning - Naftali Tishby

Explores the connection between deep learning and information theory, offering new insights into neural network design, generalization, and optimization through an information bottleneck framework.

• YouTube
• 1 hour 25 minutes
• Self-Paced
• Free Video

Graph Analysis of Russian Twitter Trolls Using Neo4j

Explore graph analysis of Russian Twitter trolls using Neo4j. Learn about data collection, NLP, graph algorithms, and visualization techniques to uncover social media influence patterns.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

Introduction to the Theory of Computing - Stanford

Explore fundamental concepts of theoretical computer science, including automata, computability, and complexity theory, with practical applications and algorithmic fairness.

• YouTube
• 20 hours
• Self-Paced
• Free Video

Learning the Structure of EHR with Graph Convolutional Transformer - Edward Choi

Explore graph convolutional transformers for learning EHR structure, combining graph convolution and self-attention for supervised prediction tasks in healthcare analytics and representation learning.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

Data Compression - Theory and Applications

Master data compression theory and applications, from lossless techniques like Huffman coding to lossy methods including JPEG and modern ML approaches for efficient information representation.

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