Gamedev - In-depth Topics
Explore advanced game development concepts including movement types, steering behaviors, and pathfinding algorithms. Gain in-depth knowledge applicable across programming languages for creating sophisticated game mechanics.
Graph Theory Full Course for Beginners
Comprehensive introduction to graph theory, covering key concepts, algorithms, and applications. Ideal for beginners seeking a solid foundation in this fundamental area of discrete mathematics.
SAP HANA Cloud's Advanced Multi-Model Capabilities and Graph Processing - Challenge Winners and Expert Insights
Explore SAP HANA Cloud's graph capabilities, including GraphScript, table parameters, and the TRAVERSE DIJKSTRA operator. Learn from challenge winners and experts about advanced multi-model functionalities.
Dijkstra's Algorithm - Finding Single Source Shortest Path
Explore Dijkstra's algorithm for finding the shortest path in graphs. Learn its implementation, applications, and role in greedy methods for efficient problem-solving.
Light and Beyond - Lecture 2: Optical Phenomena and Wave Propagation
Explore advanced concepts in optics, from electromagnetic waves to quantum physics, through lectures, demonstrations, and simulations. Gain insights into optical phenomena in nature and technology.
Dijkstra's Algorithm - Finding Single Source Shortest Path
Explore Dijkstra's algorithm for finding the shortest path in graphs using the greedy method. Learn its implementation and applications in computer science.
Greedy Method in Design and Analysis of Algorithms - Lecture 1
Master the Greedy Method in algorithm design through practical examples. Enhance problem-solving skills and optimize solutions for efficient computational processes.
D&D and G - A Daring Tale of Dungeons and Dragons and Also Graph
Explore graph algorithms through a D&D adventure! Learn to convert mazes and networks into graphs, and discover practical applications for 8 key algorithms in this intuitive, story-driven presentation.
Traversing Mazes the Pythonic Way and Other Algorithmic Adventures
Explore graph algorithms through a Pythonic lens, focusing on maze traversal, efficient representations, and problem-solving techniques like backtracking and dynamic programming.
Introduction to Artificial Intelligence - Lecture 13: Assignment 4
Explore algorithmic techniques and data structures for AI problem-solving, applying learned concepts to simple games through hands-on assignments.
Cache-friendly Design in Robot Path Planning with C++ - Lecture
Optimize robot path planning algorithms using cache-friendly design in C++. Learn to enhance performance of Dijkstra's and A-star algorithms through efficient memory layouts and STL facilities.