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CERTIFICATE
Resolución de problemas por búsqueda
This course is part of Conceptos Básicos de Inteligencia Artificial.
Course Cost
Free course
Beginner
Skill Level
16 Hours
Self-paced lessons
This comprehensive course focuses on automated problem-solving through search algorithms, teaching students how to abstract problems as state-action graphs and analyze their complexity. You'll learn to evaluate computational resource consumption of different algorithms to select the most appropriate approach for specific problems. The curriculum covers both uninformed search methods like DFS and BFS, as well as informed approaches like A* and IDA*, and even introduces metaheuristic algorithms for complex problems. Through hands-on Python programming assignments, you'll implement these algorithms and apply them to concrete problems, culminating in solving the Rubik's Cube challenge. This practical approach ensures you gain both theoretical understanding and practical skills in algorithmic problem-solving.
5,014 Enrolled
Spanish
What you'll learn
Understand how to abstract problems as state-action graphs
Implement and analyze blind search algorithms like DFS and BFS
Master informed search techniques including A* algorithm
Design effective heuristic functions for specific problem domains
Apply iterative deepening strategies to optimize search performance
Implement metaheuristic algorithms for complex problem spaces
Analyze algorithm performance using asymptotic analysis
Solve real-world problems using appropriate search strategies
Skills you'll gain
This course includes:
2.2 Hours PreRecorded video
2 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
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Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 5 modules in this course
This course provides a comprehensive introduction to automated problem-solving using search algorithms. The curriculum is structured to build from fundamental concepts to advanced techniques. Students first learn to abstract problems as state-action graphs and understand algorithmic complexity analysis. The course then explores uninformed (blind) search algorithms including Depth-First Search (DFS), Breadth-First Search (BFS), and Uniform Cost Search (UCS), analyzing their strengths and limitations. Moving to informed search, students master the A* algorithm and learn to design effective heuristic functions. The final sections cover advanced techniques like Iterative Deepening A* (IDA*) and metaheuristic approaches such as Simulated Annealing and Genetic Algorithms, particularly useful for complex problems. Throughout the course, theoretical concepts are reinforced through Python implementations and practical applications, culminating in solving the Rubik's Cube challenge.
Algoritmos de Búsqueda ciega
Module 1 · 1 Hours to complete
Algoritmos de Búsqueda ciega (parte 2)
Module 2 · 4 Hours to complete
Algoritmos de búsqueda informada
Module 3 · 4 Hours to complete
Algoritmos de búsqueda informada (parte 2)
Module 4 · 4 Hours to complete
Algoritmos de búsqueda metaheurísticos
Module 5 · 3 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Conceptos Básicos de Inteligencia Artificial
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Faculties
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Frequently asked Questions
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