Critical Thinking & Logic: Real-World Skills
Cultivate practical critical thinking and logical reasoning skills to tackle complex real-world situations effectively, enhancing problem-solving
Cultivate practical critical thinking and logical reasoning skills to tackle complex real-world situations effectively, enhancing problem-solving
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Critical Thinking: A Brain-Based Guide for the ChatGPT Era Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
Instructors:
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What you'll learn
Analyze complex arguments
Apply reasoning techniques
Evaluate logical structures
Identify fallacies
Develop critical thinking skills
Skills you'll gain
This course includes:
1.2 Hours PreRecorded video
2 assignments
Access on Mobile, Desktop
FullTime access
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There are 2 modules in this course
This course combines practical critical thinking with logical reasoning principles. Students learn to analyze complex arguments, apply different reasoning types, and evaluate real-world scenarios. The curriculum covers deductive, inductive, and abductive reasoning with practical applications.
The Art of Logical Leaps: Mastering Real-World Reasoning
Module 1 · 1 Hours to complete
Navigating the Pitfalls and Potentials of Real-World Reasoning
Module 2 · 1 Hours to complete
Fee Structure
Instructors
Francis Crick Professor at the Salk Institute for Biological Studies
Terrence Sejnowski is a pioneering figure in computational neuroscience, dedicated to uncovering the principles that connect brain activity to behavior. His laboratory employs experimental and modeling techniques to investigate the biophysical properties of synapses and neurons, as well as the population dynamics within large neural networks. He has developed innovative computational models and analytical tools to explore how the brain represents information and how new representations emerge through learning algorithms that modify synaptic strengths.
Computer Scientist and Logician Advances Spatial Logic Research Through Academic Innovation
Adam Trybus is a distinguished computer scientist and logician who completed his doctorate at the University of Manchester, where his research focused on developing axiom systems for spatial logic with convexity. His academic work has contributed significantly to the field of mathematical logic and spatial reasoning. Currently affiliated with the Faculty of Philosophy at Jagiellonian University and Deep Teaching Solutions, Trybus combines his theoretical expertise with practical applications. Beyond his academic work, he has demonstrated entrepreneurial success in the fitness and technology sectors, developing adaptive training methodologies and creating content that bridges theoretical concepts with practical applications. His approach emphasizes the importance of functional fitness and adaptable training systems, as evidenced by his published work "Adaptive Training: Building a Body That's Fit for Function"
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