In this course, we will explore different types of problems, the boundaries of what makes a problem solvable, and the different algorithms, rules, and heuristics we can implement to solve these problems.
Este curso forma parte de Programa Especializado - Mind and Machine
Methods for Solving Problems
ofrecido por
Acerca de este Curso
Qué aprenderás
Ascribe human and computational problems to various definitions of difficulty and problem solving techniques.
Use problem solving strategies to break down problems.
Describe the effects of various sources of bias in judgement and decision making.
Analyze and apply heuristic models and probability modeling to a variety of decision making scenarios.
Programa - Qué aprenderás en este curso
Semana
13 horas para completar
Problems for Minds and Machines
This week we will begin our discussions by defining the boundaries and limitations of problems and their solutions.
2 videos (Total 55 minutos), 1 lectura, 2 cuestionarios
1 lectura
Recognizing, Defining, and Representing Problems30m
2 ejercicios de práctica
Recognizing and Solving Problems10m
A Classic Puzzle25m
Semana
21 hora para completar
Computers and Logic
This week we will explore adapting problem-solving approaches into computational methods.
2 videos (Total 48 minutos), 1 cuestionario
1 ejercicio de práctica
Computers and Logic15m
Semana
33 horas para completar
Humans and Heuristics
This week we will discuss judgment and decision making as a different kind of problem-solving and explore how heuristics are used for these tasks.
2 videos (Total 50 minutos), 3 lecturas, 2 cuestionarios
3 lecturas
Prospect Theory30m
Judgment under Uncertainty: Heuristics and Biases30m
***Cognitive Bias Bootcamp15m
2 ejercicios de práctica
Judgment and Decision Making5m
Heuristics and Biases10m
Semana
41 hora para completar
Course Assessment & Wrap-Up Discussion
In this module, you will test your knowledge on methods for solving problems.
2 cuestionarios
2 ejercicios de práctica
Regression to the Mean15m
Small Numbers Fallacy10m
Instructor
David Quigley
Research AssociateCognitive Science
Acerca de Universidad de Colorado en Boulder
CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies.
Acerca de Programa especializado Mind and Machine
This specialization examines the ways in which our current understanding of human thinking is both illuminated and challenged by the evolving techniques and ideas of artificial intelligence and computer science. Our collective understanding of “minds” – both biological and computational – has been revolutionized over the past half-century by themes originating in fields like cognitive psychology, machine learning, neuroscience, evolutionary psychology, and game theory, among others. This specialization focuses on both the larger “historical” arc of these changes as well as current research directions and controversies.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.
¿Qué recibiré si me suscribo a este Programa especializado?
Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.
¿Cuál es la política de reembolsos?
¿Hay ayuda económica disponible?
¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.
Coursera brinda acceso universal a la mejor educación del mundo, al asociarse con las mejores universidades y organizaciones, para ofrecer cursos en línea.
© 2019 Coursera Inc. Todos los derechos reservados.
