Most professions these days require more than general intelligence. They require in addition the ability to collect, analyze and think about data. Personal life is enriched when these same skills are applied to problems in everyday life involving judgment and choice. This course presents basic concepts from statistics, probability, scientific methodology, cognitive psychology and cost-benefit theory and shows how they can be applied to everything from picking one product over another to critiquing media accounts of scientific research. Concepts are defined briefly and breezily and then applied to many examples drawn from business, the media and everyday life.
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Mindware: Critical Thinking for the Information Age
Universidad de MíchiganAcerca de este Curso
75,890 vistas recientes
Resultados profesionales del estudiante
14%
comenzó una nueva carrera después de completar estos cursos
29%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
17%
consiguió un aumento de sueldo o ascenso
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel principiante
Aprox. 13 horas para completar
Inglés (English)
Subtítulos: Francés (French), Ucraniano, Portugués (de Brasil), Ruso (Russian), Inglés (English), Español (Spanish)
Habilidades que obtendrás
Sunk CostsCost–Benefit AnalysisCognitive BiasDecision-MakingData AnalysisStatistical Inference
Resultados profesionales del estudiante
14%
comenzó una nueva carrera después de completar estos cursos
29%
consiguió un beneficio tangible en su carrera profesional gracias a este curso
17%
consiguió un aumento de sueldo o ascenso
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel principiante
Aprox. 13 horas para completar
Inglés (English)
Subtítulos: Francés (French), Ucraniano, Portugués (de Brasil), Ruso (Russian), Inglés (English), Español (Spanish)
ofrecido por
Universidad de Míchigan
The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.
Programa - Qué aprenderás en este curso
1 hora para completar
Introduction
Individuals and cultures can make themselves smarter. Since the beginning of the Industrial Revolution, people have become enormously smarter. The Information Age requires a brand-new set of skills involving statistics, probability, cost-benefit analysis, principles of cognitive psychology, logic and dialectical reasoning.
1 hora para completar
1 video (Total 15 minutos), 3 lecturas
1 video
3 lecturas
Welcome Message and Course Principles from Professor Nisbett10m
(Optional) Companion Readings from the Mindware book
Help us learn more about you!10m
1 hora para completar
Lesson 1: Statistics
Basic concepts of statistics and probability including the concepts of variable, normal distribution, standard deviation, correlation, reliability, validity, and effect size. Concrete examples are drawn from everyday life and show how the concepts can be used to solve ordinary problems.
1 hora para completar
2 videos (Total 29 minutos), 2 lecturas, 1 cuestionario
2 lecturas
Interactive Activity10m
(Optional) Companion Readings from the Mindware book
1 ejercicio de práctica
Lesson 1 Quiz30m
2 horas para completar
Lesson 2: The Law of Large Numbers
How to think about events in such a way that they can be counted and a decision can be made about how much data is enough. You will learn about the concept of error variance and how it can be combatted by obtaining multiple observations. Your will learn that your judgments about people’s personalities are prone to serious errors that are largely avoided for judgments about abilities. And you will discover why it’s usually a mistake to interview job applicants.
2 horas para completar
2 videos (Total 27 minutos), 2 lecturas, 4 cuestionarios
2 lecturas
Interactive Activity10m
(Optional) Companion Readings from the Mindware book
4 ejercicios de práctica
Pre-lecture Reflection Prompt5m
Pre-lecture Quiz5m
Lesson 2 Quiz30m
Post-lecture Reflection Prompt5m
2 horas para completar
Lesson 3: Correlation
It can be extremely difficult to make an accurate assessment of how two variables are related to one another; prior beliefs can be more important than data in estimating the strength of a given relationship. You will learn simple tools to estimate degree of association. You will learn about the nature of illusory correlations and how to avoid them. You will learn about the concepts of confounded variable and self-selection error.
2 horas para completar
4 videos (Total 25 minutos), 3 lecturas, 2 cuestionarios
4 videos
The Draw-a-Person Test4m
Illusory Correlation6m
Confounded Variables; Statistical Significance9m
3 lecturas
Pre-lecture Activity10m
Interactive Activity10m
(Optional) Companion Readings from the Mindware book
2 ejercicios de práctica
Correlation Exercises30m
Lesson 3 Quiz30m
2 horas para completar
Lesson 4: Experiments
You will learn that correlations can only rarely provide conclusive evidence about whether one variable exerts a causal influence on another and why experiments provide far better evidence about causality than correlations. You will be shown how to conduct experiments in business settings and experiments on yourself. You will learn the distinction between within subject designs and between subject designs. You will learn about the concept of artifacts and some tricks for avoiding them. You will learn how to discover natural experiments.
2 horas para completar
3 videos (Total 42 minutos), 2 lecturas, 1 cuestionario
3 videos
A/B Testing9m
Experimental Design and Natural Experiments17m
2 lecturas
Pre-lecture Activity5m
(Optional) Companion Readings from the Mindware book
1 ejercicio de práctica
Lesson 4 Quiz30m
1 hora para completar
Lesson 5: Prediction
You will learn about the kinds of systematic errors we make when trying to predict the future. You will learn about regression to the mean and why you should assume that extreme values on a variable will be less extreme when next observed. You will learn how to think about observations in terms of true score plus error. You will learn about the concept of base rate and why it must be taken into account when estimating probabilities of specific events.
1 hora para completar
2 videos (Total 40 minutos), 2 lecturas, 1 cuestionario
2 lecturas
Pre-lecture Question5m
(Optional) Companion Readings from the Mindware book
1 ejercicio de práctica
Lesson 5 Quiz30m
1 hora para completar
Lesson 6: Cognitive Biases
We understand the world not through direct perception but through inferential procedures that we are unaware of. Our understanding of the world is heavily influenced by schemas or abstract representations of events. We are prone to serious judgment errors that can be avoided to a degree when we understand their basis. We make guesses about probability and causality by applying the representativeness heuristic based on similarity assessments which can be very misleading. We make judgments about frequency and probability by relying in part on the availability heuristic, judging things as frequent or probable to the degree that instances come readily to mind.
1 hora para completar
3 videos (Total 36 minutos), 1 lectura, 2 cuestionarios
3 videos
Heuristics11m
Fundamental Attribution Error; Confirmation Bias11m
1 lectura
(Optional) Companion Readings from the Mindware book
2 ejercicios de práctica
Pre-lecture Quiz5m
Lesson 6 Quiz30m
1 hora para completar
Lesson 7: Choosing and Deciding
How to conduct a cost-benefit analysis. Why you should throw the analysis away after doing it if the decision is personal and very important. How to avoid throwing good money after bad. How to avoid doing something that will prevent you from doing something more valuable. Why it can be expensive to try to avoid the possibility of loss. Why incentives can backfire.
1 hora para completar
3 videos (Total 38 minutos), 1 lectura, 2 cuestionarios
1 lectura
(Optional) Companion Readings from the Mindware book
2 ejercicios de práctica
Pre-lecture Activity5m
Lesson 7 Quiz30m
2 horas para completar
Lesson 8: Logic and Dialectical Reasoning
The distinction between inductive logic and deductive logic. Syllogisms. Conditional reasoning. The distinction between truth of an argument and validity of an argument. The concepts of necessity and sufficiency. Venn diagrams. Common logical errors. When to avoid contradiction and when to embrace it, how to avoid undue certainty about judgments and decisions, and why attention to context rather than form is crucial for analysis of most real-world problems.
2 horas para completar
2 videos (Total 36 minutos), 1 lectura, 2 cuestionarios
1 lectura
(Optional) Companion Readings from the Mindware book
2 ejercicios de práctica
Pre-lecture Quiz30m
Lesson 8 Quiz30m
16 minutos para completar
Conclusion
16 minutos para completar
1 video (Total 6 minutos), 2 lecturas
1 video
2 lecturas
(Optional) Companion Readings from the Mindware book
Post-course Survey10m
Reseñas
Principales reseñas sobre MINDWARE: CRITICAL THINKING FOR THE INFORMATION AGE
por JM28 de jul. de 2019
This course is great! I recommend it to anyone who wants to be able to reason better and have more capabilities in making decisions. Thank you Dr. Nisbett and Coursera for providing this course.
por MK7 de abr. de 2020
Anyone beginner can take this course and be 100 times more understanding of information via any media while also perhaps understanding what is the best choice in some give scenario IRL.
por NP6 de ago. de 2017
A very good course prof Richard has explained very difficult to understand concepts in a very simple language and made it easy for students to grasp the subject matter easily.
por P23 de dic. de 2018
Excellent introduction to basic tools (awareness of some cognitive biases / heuristics, the importance of contextual factors, etc.) for sharpening our minds: It´s a must! :-)
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
El acceso a las clases y las asignaciones depende del tipo de inscripción que tengas. Si tomas un curso en modo de oyente, verás la mayoría de los materiales del curso en forma gratuita. Para acceder a asignaciones calificadas y obtener un certificado, deberás comprar la experiencia de Certificado, ya sea durante o después de participar como oyente. Si no ves la opción de oyente:
- es posible que el curso no ofrezca la opción de participar como oyente. En cambio, puedes intentar con una Prueba gratis o postularte para recibir ayuda económica.
- Es posible que el curso ofrezca la opción 'Curso completo, sin certificado'. Esta opción te permite ver todos los materiales del curso, enviar las evaluaciones requeridas y obtener una calificación final. También significa que no podrás comprar una experiencia de Certificado.
¿Qué recibiré si compro el Certificado?
Cuando compras un Certificado, obtienes acceso a todos los materiales del curso, incluidas las tareas calificadas. Una vez que completes el curso, 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 participar del curso como oyente sin costo.
Is financial aid available?
Sí, Coursera ofrece ayuda económica a los estudiantes que no pueden pagar la tarifa. Solicítala haciendo clic en el vínculo de Ayuda económica que está debajo del botón 'Inscribirse' a la izquierda. Se te pedirá que completes una solicitud y recibirás una notificación cuando se apruebe. Obtén más información.
¿Recibiré crédito universitario por completar el Curso?
Este Curso no otorga crédito universitario, pero algunas universidades pueden aceptar los Certificados del curso para obtener crédito. Consulta con tu institución para obtener más información. Los Títulos en línea y los Certificados Mastertrack™ de Coursera brindan la oportunidad de obtener créditos universitarios.
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