About this Course

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Start instantly and learn at your own schedule.
Flexible deadlines
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Beginner Level
Approx. 20 hours to complete
Spanish
Subtitles: Spanish
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 20 hours to complete
Spanish
Subtitles: Spanish

Offered by

Universidad Nacional Autónoma de México logo

Universidad Nacional Autónoma de México

Syllabus - What you will learn from this course

Week
1

Week 1

2 hours to complete

Algoritmos de Búsqueda ciega

2 hours to complete
7 videos (Total 33 min), 2 readings, 1 quiz
7 videos
Introducción4m
Análisis asintótico de algoritmos5m
¿Qué son los algoritmos de búsqueda ciega?3m
Algoritmo primero en profundidad (DFS)3m
Algoritmo primero en profundidad (DFS) (parte 2)7m
Algoritmo primero en anchura (BFS)6m
2 readings
Si no estás inscrito a este curso como usuario de Coursera para la UNAM, por favor revisa esta información:10m
Bienvenida al curso10m
1 practice exercise
Algoritmos de búsqueda ciega40m
Week
2

Week 2

5 hours to complete

Algoritmos de Búsqueda ciega (parte 2)

5 hours to complete
4 videos (Total 48 min)
4 videos
Algoritmos basados en cotas de profundidad ( DLS, DFBB e ID)15m
Algoritmo bidireccional10m
Algoritmo de costo uniforme (UCS)7m
Week
3

Week 3

4 hours to complete

Algoritmos de búsqueda informada

4 hours to complete
5 videos (Total 27 min)
5 videos
Algoritmo A*4m
Algoritmo A* (parte 2)4m
Algoritmo A* (parte 3)4m
Diseño de funciones heurísticas8m
Week
4

Week 4

5 hours to complete

Algoritmos de búsqueda informada (parte 2)

5 hours to complete
4 videos (Total 26 min), 1 reading, 1 quiz
4 videos
Algoritmo A* con profundidad iterada (IDA*)10m
Algoritmo A* con profundidad iterada (IDA*) (parte 2)1m
Comentarios finales sobre los algoritmos de búsqueda informada1m
1 reading
Ejemplo de IDA*10m

About the Introducción a la inteligencia artificial Specialization

Este Programa especializado está dirigido a personas con interés en conocer más sobre los diversos desarrollos que han sido generados en décadas recientes en el área de inteligencia artificial. Al concluir este Programa compuesto de ocho cursos y un proyecto culminante, los estudiantes tendrán un amplio panorama y un dominio básico de las técnicas que se pueden usar para construir sistemas inteligentes. También se habrán discutido las implicaciones filosóficas, éticas y sociales que los desarrollos tecnológicos en inteligencia artificial podrían tener. La inteligencia artificial actualmente se aplica en una gran variedad de áreas y hay una alta demanda laboral en empresas y organizaciones de todo tipo, por lo que los estudiantes adquirirán diversas herramientas que podrán aplicar en su entorno profesional....
Introducción a la inteligencia artificial

Frequently Asked Questions

  • Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

    • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

  • This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.

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