Creatividad computacional
This course is part of Introducción a la inteligencia artificial.
This course explores computational creativity, examining whether machines can be creative and how this emerging field of artificial intelligence has evolved. Students will analyze theories, methodologies, and techniques for programming and evaluating creative systems across various domains including narrative generation, music, scientific discovery, and visual arts. Throughout the course, participants progressively build their own creative artificial agent, specifically focusing on abstract art generation. The program covers fundamental concepts like combinational, exploratory, and transformational creativity while providing practical implementation experience. Basic knowledge of programming (Python) and genetic algorithms is required for successful participation.
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What you'll learn
Understand the theoretical foundations of computational creativity Differentiate between combinational, exploratory, and transformational creativity Apply frameworks for evaluating creativity in computational systems Develop autonomous creative agents using algorithmic approaches Implement internal representations for creative artificial systems Design generative processes for novel artifact creation Create evaluation metrics for computational aesthetic judgment Build a complete creative system that produces abstract digital art
Skills you'll gain
This course includes:
2.2 Hours PreRecorded video
2 assignments, 1 peer review, 1 programming assignment
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There are 4 modules in this course
This comprehensive course explores the emerging field of computational creativity across four progressive modules. Students begin by examining the fundamental concepts of creativity, the history of creative machines, and the current state of creative systems across various domains. The second module differentiates between intelligent and creative computational programs, introducing combinational, exploratory, and transformational creativity frameworks. In modules three and four, students develop practical skills by building their own artificial creative agent—specifically an abstract art painter. This hands-on project includes implementing internal and external representations, generative processes, and both internal and external evaluation methods. The course culminates with students analyzing how their artificial painter's creations are perceived by human audiences.
Introducción a la creatividad computacional
Module 1 · 2 Hours to complete
Nociones básicas
Module 2 · 1 Hours to complete
La construcción de un sistema creativo básico. Parte I
Module 3 · 4 Hours to complete
La construcción de un sistema creativo básico. Parte II
Module 4 · 10 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: Introducción a la inteligencia artificial
Instructor
Instructor
Dra. Wendy Elizabeth Aguilar Martínez is a researcher in the Department of Computer Science at the Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas (IIMAS) of the Universidad Nacional Autónoma de México (UNAM). She holds a Ph.D. in Computer Science from UNAM and focuses her research primarily on computational creativity, developmental robotics, and pattern recognition. Aguilar Martínez teaches the course "Creatividad Computacional" in the Postgraduate Program in Computer Science and Engineering at UNAM. On Coursera, she instructs courses such as "Creatividad computacional" and "Inteligencia artificial: proyecto final," leveraging her expertise in AI and related fields to guide learners through these topics. Her work is recognized internationally, with significant contributions to artificial intelligence, computational creativity, and developmental robotics
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